Publications
Last Updated: 22th August 2024
2024
JOURNAL
- Deep Learning Workload Scheduling in GPU Datacenters: A Survey
Z. Ye, W. Gao, Q. Hu, P. Sun, X. Wang, Y. Luo, T. Zhang, Y. Wen
ACM Transactions on Multimedia, 2024 (ACM TOMM)
[DOI] - Unified 3D and 4D Panoptic Segmentation via Dynamic Shifting Network
F. Hong, L. Kong, H. Zhou, X. Zhu, H. Li, Z. Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 (TPAMI)
[DOI] - Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond
Y. Dai, C. Li, S. Zhou, R. Feng, Y. Luo, C. C. Loy
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 (TPAMI)
[arXiv] [Project Page] - TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment
C. Chen, J. Mo, J. Hou, H. Wu, L. Liao, W. Sun, Q. Yan, W. Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 (TPAMI)
[DOI] [arXiv] - UniSched: A Unified Scheduler for Deep Learning Training Jobs with Different User Demands
W. Gao, Z. Ye, P. Sun, T. Zhang, Y. Wen
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 (TPAMI)
[DOI] - Vision-Language Models for Vision Tasks: A Survey
J. Zhang, J. Huang, S. Jin, S. Lu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 (TPAMI)
[DOI] [arXiv] - Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with Transformer
Z. Luo, C. Zhou, L. Pan, G. Zhang, T. Liu, Y. Luo, H. Zhao, Z. Liu, S. Lu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 (TPAMI)
[DOI] [arXiv] - PERF: Panoramic Neural Radiance Field from a Single Panorama
G. Wang, P. Wang, Z. Chen, W. Wang, C. C. Loy, Z. Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 (TPAMI)
[DOI] [arXiv]
CONFERENCE
- Characterization of Large Language Model Development in the Datacenter
Q. Hu, Z. Ye, Z. Wang, G. Wang, M. Zhang, Q. Chen, P. Sun, D. Lin, X. Wang, Y. Luo, Y. Wen, T. Zhang
USENIX Symposium on Networked Systems Design and Implementation, 2024 (NSDI)
[PDF] [arXiv] [Project Page] - Semi-Supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix
K. Wang, Y. Wu, Z. Pan, X. Li, K. Xian, Z. Cao, G. Lin
in Proceedings of AAAI Conference on Artificial Intelligence, 2024 (AAAI)
[arXiv] [Project Page] - IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
Y. Chen, C. Zhang, X. Yang, Z. Cai, G. Yu, L. Yang, G. Lin
in Proceedings of AAAI Conference on Artificial Intelligence, 2024 (AAAI)
[arXiv] [Project Page] - Iterative Token Evaluation and Refinement for Real-World Super-Resolution
C. Chen, S. Zhou, L. Liao, H. Wu, W. Sun, Q. Yan W. Lin
in Proceedings of AAAI Conference on Artificial Intelligence, 2024 (AAAI)
[arXiv] [Project Page] - CLIM: Contrastive Language-Image Mosaic for Region Representation
S. Wu, W. Zhang, L. Xu, S. Jin, W. Liu, C. C. Loy
in Proceedings of AAAI Conference on Artificial Intelligence, 2024 (AAAI)
[arXiv] [Project Page] - Modeling Continuous Motion for 3D Point Cloud Object Tracking
Z. Luo, G. Zhang, C. Zhou, Z. Wu, Q. Tao, L. Lu, S. Lu
in Proceedings of AAAI Conference on Artificial Intelligence, 2024 (AAAI)
[PDF] [arXiv] - CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
S. Wu, W. Zhang, L. Xu, S. Jin, X. Li, W. Liu, C. C. Loy
International Conference on Learning Representations, 2024 (ICLR)
[PDF] [arXiv] [Project Page] - Adaptive Window Pruning for Efficient Local Motion Deblurring
H. Li, J. Zhao, S. Zhou, H. Feng, C. Li, C. C. Loy
International Conference on Learning Representations, 2024 (ICLR)
[PDF] [arXiv] [Project Page] - Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment
L. Siyao, T. Gu, Z. Yang, Z. Lin, Z. Liu, H. Ding, L. Yang, C. C. Loy
International Conference on Learning Representations, 2024 (ICLR)
[PDF] [arXiv] [Project Page] - Large-Vocabulary 3D Diffusion Model with Transformer
Z. Cao, F. Hong, T. Wu, L. Pan, Z. Liu
International Conference on Learning Representations, 2024 (ICLR)
[arXiv] [Project Page] - DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
J. Tang, J. Ren, H. Zhou, Z. Liu, G. Zeng
International Conference on Learning Representations, 2024 (ICLR, Oral)
[PDF] [arXiv] [Project Page] - SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
X. Chen, Y. Wang, L. Zhang, S. Zhuang, X. Ma, J. Yu, Y. Wang, D. Lin, Y. Qiao, Z. Liu
International Conference on Learning Representations, 2024 (ICLR)
[PDF] [arXiv] [Project Page] - FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
H. Wang, H. Xu, Y. Li, Y. Xu, R. Li, T. Zhang
International Conference on Learning Representations, 2024 (ICLR)
[PDF] - LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors
S. Jin, X. Jiang, J. Huang, L. Lu, S. Lu
International Conference on Learning Representations, 2024 (ICLR)
[arXiv] - Q-Bench: A Benchmark for General Purpose Foundation models on Low-Level Vision
H. Wu, Z. Zhang, E. Zhang, C. Chen, L. Liao, A. Wang, C. Li, W. Sun, Q. Yan, G. Zhai, W. Lin
International Conference on Learning Representations, 2024 (ICLR)
[arXiv] [Project Page] - PanoDiffusion: 360-degree Panorama Outpainting via Diffusion
T. Wu, C. Zheng, T. Cham
International Conference on Learning Representations, 2024 (ICLR)
[arXiv] [Project Page] - FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices
H. Wang, Y. Jia, M. Zhang, Q. Hu, Y. Xu, H. Ren, P. Sun, Y. Wen, T. Zhang
in Proceedings of the ACM on Web Conference, 2024 (WWW)
[DOI] [YouTube] - MVIP-NeRF: Multi-view 3D Inpainting on NeRF Scenes via Diffusion Prior
H. Chen, C. C. Loy, X. Pan
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] - Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
K. Wang, Y. Wu, J. Cen, Z. Pan, X. Li, Z. Wang, Z. Cao, G. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] - S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes
X. Li, Z. Cao, Y. Wu, K. Wang, K. Xian, Z. Wang, G. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [ Project Page] - GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
Y. Chen, Z. Chen, C. Zhang, F. Wang, X. Yang, Y. Wang, Z. Cai, L. Yang, H. Liu, G. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [ Project Page] - AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing
F. Yang, T. Chen, X. He, Z. Cai, L. Yang, S. Wu, G. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] - Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
H. Wu, Z. Zhang, E. Zhang, C. Chen, L. Liao, A. Wang, K. Xu, C. Li, J. Hou, G. Zhai, X. Geng, W. Sun, Q. Yan, W. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] - Digital Life Project: Autonomous 3D Characters with Social Intelligence
Z. Cai, J. Jiang, Z. Qing, X. Guo, M. Zhang, Z. Lin, H. Mei, C. Wei, R. Wang, W. Yin, L. Pan, X. Fan, H. Du, P. Gao, Z. Yang, Y. Gao, J. Li, T. Ren, Y. Wei, X. Wang, C. C. Loy, L. Yang, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] - Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
S. Zhou, P. Yang, J. Wang, Y. Luo, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] [YouTube] - Learning Inclusion Matching for Animation Paint Bucket Colorization
Y. Dai, S. Zhou, Q. Li, C. Li, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] [YouTube] - OMG-Seg: Is One Model Good Enough For All Segmentation?
X. Li, H. Yuan, W. Li, H. Ding, S. Wu, W. Zhang, Y. Li, K. Chen, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] - VideoBooth: Diffusion-based Video Generation with Image Prompts
Y. Jiang, T. Wu, S. Yang, C. Si, D. Lin, Y. Qiao, C. C. Loy, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] [YouTube] - FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation
S. Yang, Y. Zhou, Z. Liu, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] - When StyleGAN Meets Stable Diffusion: a W+ Adapter for Personalized Image Generation
X. Li, X. Hou, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] - CityDreamer: Compositional Generative Model of Unbounded 3D Cities
H. Xie, Z. Chen, F. Hong, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] - FreeU: Free Lunch in Diffusion U-Net
C. Si, Z. Huang, Y. Jiang, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] - VBench: Comprehensive Benchmark Suite for Video Generative Models
Z. Huang, Y. He, J. Yu, F. Zhang, C. Si, Y. Jiang, Y. Zhang, T. Wu, Q. Jin, N. Chanpaisit, Y. Wang, X. Chen, L. Wang, D. Lin, Y. Qiao, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] [YouTube] - SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering
T. Hu, F. Hong, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] - GauHuman: Articulated Gaussian Splatting for Real-Time 3D Human Rendering
S. Hu, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] - Link-Context Learning for Multimodal LLMs
Y. Tai, W. Fan, Z. Zhang, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] - Masked AutoDecoder is Effective Multi-Task Vision Generalist
H. Qiu, J. Huang, P. Gao, L. Lu, X. Zhang, S. Lu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [Project Page] - Weakly Supervised Monocular 3D Detection with a Single-View Image
X. Jiang, S. Jin, L. Lu, X. Zhang, S. Lu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[PDF] [arXiv] [YouTube] - Sylvie: 3D-adaptive and Universal System for Large-scale Graph Neural Network Training
M. Zhang, Q. Hu, C. Wan, H. Wang, P. Sun, Y. Wen, T. Zhang
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)
[DOI] - Spatial-Temporal Large Language Model for Traffic Prediction
C. Liu, S.Yang, Q. Xu, Z. Li, C. Long, Z. Li, R. Zhao
in Proceedings of IEEE International Conference on Mobile Data Management, 2024 (MDM)
[arXiv] [DOI] - Fingerprinting Image-to-Image Generative Adversarial Networks
G. Li, G. Xu, H. Qiu, S. Guo, R. Wang, J. Li, T. Zhang, R. Lu
in Proceedings of IEEE European Symposium on Security and Privacy, 2024 (Euro S&P)
[arXiv] - AutoSched: An Adaptive Self-configured Framework for Scheduling Deep Learning Training Workloads
W. Gao, X. Zhang, S. Huang, S. Guo, P. Sun, Y. Wen, T. Zhang
in Proceedings of ACM International Conference on Supercomputing, 2024 (ICS)
[PDF] - Ymir: A Scheduler for Foundation Model Fine-tuning Workloads in Datacenters
W. Gao, W. Zhuang, M. Li, P. Sun, Y. Wen, T. Zhang
in Proceedings of ACM International Conference on Supercomputing, 2024 (ICS)
[PDF] [Project Page] - Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution
X. Li, Y. Cao, L. Pan, Y. Ma, A. Sun
in Proceedings of Annual Meeting of the Association for Computational Linguistics, 2024 (ACL)
[PDF] [arXiv] - Large Motion Model for Unified Multi-Modal Motion Generation
M. Zhang, D. Jin, C. Gu, F. Hong, Z. Cai, J. Huang, C. Zhang, X. Guo, L. Yang, Y. He, Z. Liu
European Conference on Computer Vision, 2024 (ECCV)
[PDF] [arXiv] [Project Page] - Parameterization-driven Neural Surface Reconstruction for Object-oriented Editing in Neural Rendering
B. Xu, J. Hu, F. Hou, K. Lin, W. Wu, C. Qian, Y. He
European Conference on Computer Vision, 2024 (ECCV)
[arXiv] - Eliminating Feature Ambiguity for Few-Shot Segmentation
Q. Xu, G. Lin, C. C. Loy, C. Long, Z. Li, R. Zhao
European Conference on Computer Vision, 2024 (ECCV)
[arXiv] [Project Page] - Decomposing CLIP Representations for Dense Vision-Language Inference
M. Lan, C. Chen, Y. Ke, X. Wang, L. Feng, W. Zhang
European Conference on Computer Vision, 2024 (ECCV)
[arXiv] - ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation
M. Lan, C. Chen, Y. Ke, X. Wang, L. Feng, W. Zhang
European Conference on Computer Vision, 2024 (ECCV)
[arXiv] - Enhancing Diffusion Models with Text-Encoder Reinforcement Learning
C. Chen, A. Wang, H. Wu, L. Liao, W. Sun, Q. Yan, W. Lin
European Conference on Computer Vision, 2024 (ECCV)
[arXiv] [Project Page] - Robust-Wide: Robust Watermarking against Instruction-driven Image Editing
R. Hu, J. Zhang, T. Xu, T. Zhang, J. Li
European Conference on Computer Vision, 2024 (ECCV)
[arXiv]
Last Updated: 26th August 2024
2023
JOURNAL
- Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Y. Zang, K. Zhou, C. Huang, C. C. Loy
International Journal of Computer Vision, 2023 (IJCV)
[arXiv] - Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept
N. Qiang., Z. Liu, Y. Liu
International Journal of Computer Vision, 2023 (IJCV)
[arXiv] - DisCoVQA: Temporal Distortion-Content
H. Wu, C. Chen, L. Liao, J. Hou, W. Sun, Q. Yan, W. Lin
IEEE Transactions on Circuits and Systems for Video Technology, 2023 (TCSVT)
[arXiv] - Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction
C. Song, J. Wei, R. Li, F. Liu, G. Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (TPAMI)
[DOI] [arXiv] - Automatic Transformation Search Against Deep Leakage from Gradients
W. Gao, S. Guo, T. Zhang, T. Xiang, H. Qiu, Y. Wen
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (TPAMI)
[DOI] - Temporal Sentence Grounding in Videos: A Survey and Future Directions
H. Zhang, A. Sun, W. Jing, J. T. Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (TPAMI)
[arXiv] - GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image Translation
S. Yang, L. Jiang, Z. Liu, C. C. Loy
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (TPAMI)
[arXiv] - Semi-Supervised Domain Generalization with Stochastic StyleMatch
K. Zhou, C. C. Loy, Z. Liu
International Journal of Computer Vision, 2023 (IJCV)
[arXiv] - Talk-to-Edit: Fine-Grained 2D and 3D Facial Editing via Dialog
Y. Jiang, Z. Huang, T. Wu, X. Pan, C. C. Loy, Z. Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (TPAMI)
[DOI] [Project Page] - SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections
Z. Chen, W. Guangcong, Z. Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (TPAMI)
[DOI] [arXiv] [Project Page] - Correspondence Distillation from NeRF-based GAN
Y. Lan, C. C. Loy, B. Dai
International Journal of Computer Vision, 2023 (IJCV)
[DOI] [arXiv] [Project Page] - ReliTalk: Relightable Talking Portrait Generation from a Single Video
H. Qiu, Z. Chen, Y. Jiang, H. Zhou, X. Fan, L. Yang, W. Wu, Z. Liu
International Journal of Computer Vision, 2023 (IJCV)
[DOI] [arXiv] [Project Page] - MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
M. Zang, Z. Cai, L. Pan, F. Hong, X. Guo, L.Yang, Z. Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (TPAMI)
[DOI] [Project Page] - Few-shot forgery detection via Guided Adversarial Interpolation
H. Qiu, S. Chen, B. Gan, K. Wang, H. Shi, J. Shao, Z. Liu
Pattern Recognition, 2023
[DOI] [arXiv] - Neighbourhood Representative Sampling for Efficient End-to-End Video Quality Assessment
H. W, L. Liao, J. Hou, W. Sun, Q. Yan, J. Gu, W. Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (TPAMI)
[DOI] [arXiv]
CONFERENCE
- Exploring CLIP for Assessing the Look and Feel of Images
K. Zhou, C. C. Loy, Z. Liu J. Wang, K. C. K. Chan, C. C. Loy
in Proceedings of AAAI Conference on Artificial Intelligence, 2023 (AAAI)
[arXiv] - Robust Video Portrait Reenactment via Personalized Representation Quantization
K. Zhou, C. C. Loy, Z. Liu J. Wang, K. C. K. Chan, C. C. Loy
in Proceedings of AAAI Conference on Artificial Intelligence, 2023 (AAAI)
[PDF] [Project Page] - Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
C. Li, C. Guo, M. Zhou, Z. Liang, S. Zhou, R. Feng, C. C. Loy
International Conference on Learning Representations, 2023 (ICLR, Oral)
[arXiv] [Project Page] - Masked Frequency Modeling for Self-Supervised Visual Pre-Training
J. Xie, W. Li, X. Zhan, Z. Liu, Y. Ong, C. C. Loy
International Conference on Learning Representations, 2023 (ICLR)
[arXiv] [Project Page] - Sparse Mixture-of-Experts are Domain Generalizable Learners
B. Li, Y. Shen, J. Yang, Y. Wang, J. Ren, T. Che, J. Zhang, Z. Liu
International Conference on Learning Representations, 2023 (ICLR, Oral)
[arXiv] - EVA3D: Compositional 3D Human Generation from 2D Image Collections
F. Hong, Z. Chen, Y. Lan, L. Pan, Z. Liu
International Conference on Learning Representations, 2023 (ICLR)
[arXiv] - Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
T. Wu, J. Wang, X. Pan, X. Xu, C. Theobalt, Z. Liu, D. Lin
International Conference on Learning Representations, 2023 (ICLR)
[arXiv] - DiffMimic: Efficient Motion Mimicking with Differentiable Physics
J. Ren, C. Yu, S. Chen, X. Ma, L. Pan, Z. Liu
International Conference on Learning Representations, 2023 (ICLR)
[arXiv] - Extracting Robust Models with Uncertain Examples
G. Li, G. Xu, S. Guo, H. Qiu, J. Li, T. Zhang
International Conference on Learning Representations, 2023 (ICLR)
[DOI] - Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs
Q. Hu, M. Zhang, P. Sun, Y. Wen, T. Zhang
ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2, 2023 (ASPLOS)
[DOI] - Aligning Bag of Regions for Open-Vocabulary Object Detection
S. Wu, W. Zhang, S. Jin, W. Liu, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion
Y. Lan, X. Meng, S. Yang, C. C. Loy, B. Dai
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - CelebV-Text: A Large-Scale Facial Text-Video Dataset
J. Yu, H. Zhu, L. Jiang, C. C. Loy, W. Cai, W. Wu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera
R. Feng, C.Li, H. Chen, S. Li, J. Gu, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - Learning Generative Structure Prior for Blind Text Image Super-resolution
X. Li, W. Zuo, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - Correlational Image Modeling for Self-Supervised Visual Pre-Training
W. Li, J. Xie, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - Nighttime Smartphone Reflective Flare Removal using Optical Center Symmetry Prior
Y. Dai, Y. Luo, S. Zhou, C. Li, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiV] - Siamese DETR
Z. Chen, G. Huang, W. Li, J. Teng, K. Wang, L. Sheng, J. Shao, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - Panoptic Video Scene Graph Generation
J. Yang, W. Peng, X. Li, Z. Guo, L. Chen, B. Li, Z. Ma, W. Zhang, K. Zhou, C. C. Loy, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - LaserMix for Semi-Supervised LiDAR Semantic Segmentation
L. Kong, J. Ren, L. Pan, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - Collaborative Diffusion for Multi-Modal Face Generation and Editing
Z. Huang, K. C.K. Chan, Y. Jiang, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - Detecting and Grounding Multi-Modal Media Manipulation
R. Shao, T. Wu, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - OmniObject3D: Large Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
T. Wu, J. Zhang, X. Fu, Y. Wang, J. Ren, L. Pan, W. Wu, L. Yang, J. Wang, C. Qian, D. Lin, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories
P. Wang, Y. Liu, Z. Chen, L. Liu, Z. Liu, T. Komura, C. Theobalt, W. Wang
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration
J. Zhang, J. Huang, X. Zhang, S. Lu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - DA-DETR: Domain Adaptive Detection Transformer with Information Fusion
J. Zhang, J. Huang, Z. Luo, G. Zhang, X. Zhang, S. Lu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors
G. Zhang, Z. Luo, Z. Tian, J. Zhang, X. Zhang, S. Lu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - Weakly Supervised Class-agnostic Motion Prediction for Autonomous Driving
R. Li, H. Shi, Z. Fu, Z. Wang, G. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[PDF] - 3D Cinemagraphy from a Single Image
X. Li, Z. Cao, H. Sun, J. Zhang, K. Xian, G. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - ABLE-NeRF: Attention Based volume rendering with Learnable Embeddings for Neural Radiance Field
Z. J. Tang, T. Cham, H. Zhao
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[arXiv] - Few-shot Event Detection: An Empirical Study and a Unified View
Y. Ma, Z. Wang, Y. Cao, A. Sun
in Proceedings of the Meeting of the Association for Computational Linguistics, 2023 (ACL)
[arXiv] - Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation
X. Li, Y. Cao, M. Chen, A. Sun
in Proceedings of the Meeting of the Association for Computational Linguistics, 2023 (ACL)
[arXiv] - Text2Performer: Text-Driven Human Video Generation
Y. Jiang, S. Yang, T. L. Koh, W. Wu, C. C. Loy, Z. Liu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
M. Zhang, X. Guo, L. Pan, Z. Cai, F. Hong, H. Li, L. Yang, Z. Liu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
L. Kong, Y. Liu, X. Li, R. Chen, W. Zhang, J. Ren, L. Pan, K. Chen, Z. Liu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - Deep Geometrized Cartoon Line Inbetweening
S. Li, T. Gu, W. Xiao, H.Ding, Z. Liu, C. C. Loy
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[YouTube] - UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation
J. Fu, S. Li, Y. Jiang, K. Lin, W. Wu, Z. Liu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[Project Page] [YouTube] - StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces
S. Yang, L. Jiang, Z. Liu, C. C. Loy
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields
J. Zhang, Y. Lan, S. Yang, F. Hong, Q. Wang, C. K. Yeo, Z. Liu, C. C. Loy
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] [Project Page] - DNA-Rendering : A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering
W. Cheng, R. Chen, K. Chen, Z. Cai, B. Dai, S. Fan, Y. Gao, Z. Lin, D. Lin, Z. Liu, K. Lin, C. C. Loy, C. Qian, D. Ren, W. Wu, J. Wang, Z. Yu, W. Yin, L. Yang
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
G. Wang, Z. Chen, C. C. Loy, Z. Liu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] [Project Page] [YouTube] - SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling
Z. Yang, Z. Cai, H. Mei, S. Liu, Z. Chen, W. Xiao, Y. Wei, Z. Qing, C. Wei, B. Dai, W. Wu, C. Qian, D. Lin, Z. Liu, L. Yang
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - SHERF: Generalizable Human NeRF from a Single Image
S. Hu, F. Hong, L. Pan, H. Mei, L. Yang, Z. Liu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - Rethinking Range View Representation for LiDAR Segmentation
L. Kong, Y. Liu, R. Chen, Y. Ma, X. Zhu, Y. Li, Y. Hou, Y. Qiao, Z. Liu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
Z. Liang, C. Li, S. Zhou, R. Feng, C. C. Loy
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV, Oral)
[arXiv] - Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation
X. Li, H. Yuan, W. Zhang, G. Cheng, J. Pang, C. C. Loy
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - ProPainter: Improving Video Inpainting with Enhanced Propagation and Efficient Transformer
S. Zhou, C. Li, K. C.K. Chan, C. C. Loy
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] [Project Page] - Towards Multi-Layered 3D Garments Animation
Y. Shao, C. C. Loy, B. Dai
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
J. Wu, X. Li, H. Ding, X. Li, G. Cheng, Y. Tong, C. C. Loy
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] [Project Page] - MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
H. Ding, C. Liu, S. He, X. Jiang, C. C. Loy
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation
Y. Jiang, L. Jiang, S. Yang, C. C. Loy
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation
Y. Wang, L. Jiang, C. C. Loy
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[PDF] [Project Page] [YouTube] - Deformable Model Driven Neural Rendering for High-fidelity 3D Reconstruction of Human Heads Under Low-View Settings
B. Xu, J. Zhang, K. Lin, C. Qian, and Y. He
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory Domain Generalization via Balancing Training Difficulty and Model Capability
J. Zhang, J. Huang, X. Jiang, S. Lu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - Domain Generalization via Balancing Training Difficulty and Model Capability
X. Jiang, J. Huang, S. Jin, S. Lu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - Self-Calibrated Cross Attention Network for Few-Shot Segmentation
Q. Xu, W. Zhao, G. Lin, C. Long
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision
S. Dong, R. Li, J. Wei, F. Liu, G. Lin
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - MAS: Towards Resource-Efficient Federated Multiple-Task Learning
W. Zhuang, Y. Wen, L. Lyu, S. Zhang
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] [Project Page] - Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
H. Wu, E. Zhang, L. Liao, C. Chen, J. Hou, A. Wang, W. Sun, Q. Yan, W. Lin
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)
[arXiv] - Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach
H. Wu, E. Zhang, L. Liao, C. Chen, A. Wang, W. Sun, Q. Yan, W. Lin
ACM International Conference on Multimedia, 2023 (ACM MM)
[arXiv] [Project Page] - Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
S. Yang, Y. Zhou, Z. Liu, C. C. Loy
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia, 2023 (SIGGRAPH ASIA)
[arXiv] [Project Page] - PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
P. Yang, S. Zhou, Q. Tao, C. C. Loy
in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
[PDF] [arXiv] [Project Page] - Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field
N. Zheng, M. Zhou, C. Zhou, C. C. Loy
in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
[PDF] [Project Page] - ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
Z. Yue, J. Wang, C. C. Loy
in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
[PDF] [arXiv] [Project Page] - 4D Panoptic Scene Graph Generation
J. Yang, J. Cen, W. Peng, S. Liu, F. Hong, X. Li, K. Zhou, Q. Chen, Z. Liu
in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
[PDF] [arXiv] [Project Page] - Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Y. Liu, L. Kong, J. Cen, R. Chen, W. Zhang, L. Pan, K. Chen, Z. Liu
in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
[PDF] [arXiv] [Project Page] - PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation
Z. Chen, F. Hong, H. Mei, G. Wang, L. Yang, Z. Liu
in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
[PDF] [arXiv] [Project Page] - InsActor: Instruction-driven Physics-based Characters
J. Ren, M. Zhang, C. Yu, X. Ma, L. Pan, Z. Liu
in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
[PDF] [arXiv] [Project Page] - FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing
M. Zhang, H. Li, Z. Cai, J. Ren, L. Yang, Z. Liu
in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
[PDF] [arXiv] [Project Page] - Language Models are Visual Reasoning Coordinators
L. Chen, B. Li, S. Shen, J. Yang, C. Li, K. Keutzer, T. Darrell, Z. Liu
in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
[PDF] [arXiv] [Project Page] - What Makes Good Examples for Visual In-Context Learning?
Y. Zhang, K. Zhou, Z. Liu
in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
[PDF] [arXiv] [Project Page] - Towards Robust and Expressive Whole-body Human Pose and Shape Estimation
H. E. Pang, Z. Cai, L. Yang, T. Zhang, Q. Tao, Z. Wu, Z. Liu
in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
[PDF] [arXiv] [Project Page] - SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation
Z. Cai, W. Yin, A. Zeng, C. Wei, Q. Sun, Y. Wang, H. E. Pang, H. Mei, M. Zhang, L. Zhang, C. C. Loy, L. Yang, Z. Liu
in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
[PDF] [arXiv] [Project Page] [YouTube] - SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation
M. Lan, X. Wang, Y. Ke, J. Xu, L. Feng, W. Zhang
in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS)
[arXiv] [Project Page] - Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters
Q. Hu, Z. Ye, M. Zhang, Q. Chen, P. Sun, Y. Wen, T. Zhang
USENIX Symposium on Operating Systems Design and Implementation, 2023 (OSDI)
[PDF] [Project Page] - Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
Conference on Empirical Methods in Natural Language Processing, 2023 (EMNLP)
Y. Ma, Y. Cao, Y. C. Hong, A. Sun
[arXiv] [Project Page]
Last Updated: 11th October 2022
2022
BOOK CHAPTER
- Talking Faces: Audio-to-Video Face Generation
Y. Wang, L. Song, W. Wu, C. Qian, R. He, C. C. Loy
In C. Rathgeb, R. Tolosana, R. Vera-Rodriguez, C. Busch (Eds.), Handbook of Digital Face Manipulation and Detection, Springer, 2022
[Book Link] - DeepFakes Detection: the DeeperForensics Dataset and Challenge
L. Jiang, W. Wu, C. Qian, C. C. Loy
In C. Rathgeb, R. Tolosana, R. Vera-Rodriguez, C. Busch (Eds.), Handbook of Digital Face Manipulation and Detection, Springer, 2022
[Book Link]
JOURNAL
- Domain Generalization: A Survey
K. Zhou, Z. Liu, Y. Qiao, T. Xiang, C. C. Loy
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 (TPAMI)
[arXiv] - Learning to Prompt for Vision-Language Models
K. Zhou, J. Yang, C. C. Loy, Z. Liu
International Journal of Computer Vision, 2022 (IJCV)
[DOI] [arXiv] [Project Page] - GLEAN: Generative Latent Bank for Image Super-Resolution and Beyond
K. C. K. Chan, X. Wang, X. Xu, J. Gu, C. C. Loy
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 (TPAMI)
[DOI] [Project Page] - AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
F. Hong, M. Zhang, L. Pan, Z. Cai, L. Yang, Z. Liu
ACM Transactions on Graphics, 2022 (SIGGRAPH - TOG)
[arXiv] [Project Page] - Text2Human: Text-Driven Controllable Human Image Generation
Y. Jiang, S. Yang, H. Qiu, W. Wu, C. C. Loy, Z. Liu
ACM Transactions on Graphics, 2022 (SIGGRAPH - TOG)
[arXiv] [Project Page] [YouTube] - Chasing the Tail in Monocular 3D Human Reconstruction with Prototype Memory
Y. Rong, Z. Liu, C. C. Loy
IEEE Transactions on Image Processing, 2022 (TIP)
[DOI] [arXiv] [Project Page] - Everybody’s Talkin’: Let Me Talk as You Want
L. Song, W. Wu, C. Qian, R. He, C. C. Loy
IEEE Transactions on Information Forensics and Security, 2022 (TIFS)
[DOI] [arXiv] [Project Page] - Iterative Poisson Surface Reconstruction (iPSR) for Unoriented Points
F. Hou, C. Wang, W. Wang, H. Qin, C. Qian and Y. He
ACM Transactions on Graphics, 2022 (SIGGRAPH - TOG)
[DOI] [arXiv] [Project Page] - Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis
W. Zhuang, X. Gan, Y. Wen, S. Zhang
ACM Transactions on Multimedia, 2022 (ACM TOMM)
[DOI] [arXiv] - Delving into Inter-Image Invariance for Unsupervised Visual Representations
J. Xie, X. Zhan, Z. Liu, Y. S. Ong, C. C. Loy
International Journal of Computer Vision, 2022 (IJCV)
[arXiv]
CONFERENCE
- Open-Vocabulary DETR with Conditional Matching
Y. Zang, W. Li, K. Zhou, C. Huang, C. C. Loy
European Conference on Computer Vision, 2022 (ECCV, Oral)
[arXiv] [Project Page] - Transformer with Implicit Edges for Particle-based Physics Simulation
Y. Shao, C. C. Loy, B. Dai
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] [Project Page] - Extract Free Dense Labels from CLIP
C. Zhou, C. C. Loy, B. Dai
European Conference on Computer Vision, 2022 (ECCV, Oral)
[arXiv] [Project Page] - Mind the Gap in Distilling StyleGANs
G. Xu, Y. Hou, Z. Liu, C. C. Loy
European Conference on Computer Vision, 2022 (ECCV)
[Coming Soon] - LEDNet: Joint Low-light Enhancement and Deblurring in the Dark
S. Zhou, C. Li, C. C. Loy
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] [Project Page] - BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis
D. Moltisanti, J. Wu, B. Dai, C. C. Loy
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] [Project Page] - StyleLight: HDR Panorama Generation for Lighting Estimation and Editing
G. Wang, Y. Yang, C. C. Loy, Z. Liu
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] [Project Page] - HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling
Z. Cai, D. Ren, A. Zeng, Z. Lin, T. Yu, W. Wang, X. Fan, Y. Gao, Y. Yu, L. Pan, F. Hong, M. Zhang, C. C. Loy, L. Yang, Z. Liu
European Conference on Computer Vision, 2022 (ECCV, Oral)
[arXiv] [Project Page] [YouTube] - Monocular 3D Object Reconstruction with GAN Inversion
J. Zhang, D. Ren, Z. Cai, C. K. Yeo, B. Dai, C. C. Loy
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] [Project Page] - CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
H. Zhu, W. Wu, W. Zhu, L. Jiang, S. Tang, L. Zhang, Z. Liu, C. C. Loy
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] [Project Page] - StyleGAN-Human: A Data-Centric Odyssey of Human Generation
J. Fu, S. Li, Y. Jiang, K.-Y. Lin, C. Qian, C. C. Loy, W. Wu, Z. Liu
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] [Project Page] [YouTube] - Dense Siamese Network for Dense Unsupervised Learning
W. Zhang, J. Pang, K. Chen, C. C. Loy
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] [Project Page] - Relighting4D: Neural Relightable Human from Videos
Z. Chen, Z. Liu
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] [Project Page] - Panoptic Scene Graph Generation
J. Yang, Y. Z. Ang, Z. Guo, K. Zhou, W. Zhang, Z. Liu
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] [Project Page] - Benchmarking Omni-Vision Representation through the Lens of Visual Realms
Y. Zhang, Z. Yin, J. Shao, Z. Liu
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] [Project Page] - Detecting and Recovering Sequential DeepFake Manipulation
R. Shao, T. Wu, Z. Liu
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] [Project Page] - Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
L. Zhuo, G. Wang, S. Li, W. Wu, Z. Liu
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] [Project Page] - X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
Y. He, Ge. Huang, S. Chen, J. Teng, K. Wang, Z. Yin, L. Sheng, Z. Liu, Y. Qiao, J. Shao
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] - Benchmarking and Analyzing Point Cloud Classification under Corruptions
J. Ren, L. Pan, Z. Liu
in Proceedings of International Conference on Machine Learning, 2022 (ICML)
[arXiv] [Project Page] - Investigating Trade-offs in Real-World Video Super-Resolution
K. C. K. Chan, S. Zhou, X. Xu, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
K. C. K. Chan, S. Zhou, X. Xu, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
S. Yang, L. Jiang, Z. Liu, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] [YouTube] - Unsupervised Image-to-Image Translation with Generative Prior
S. Yang, L. Jiang, Z. Liu, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Video K-Net: A Simple, Strong, and Unified Baseline For End-to-End Dense Video Segmentation
X. Li, W. Zhang, J. Pang, K. Chen, G. Cheng, Y. Tong, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR, Oral)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory
S-Y. Li, W. Yu, T. Gu, C. Lin, Q. Wang, C. Qian, C. C. Loy, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR, Oral)
[PDF] [arXiv] [Supplementary Material] [Project Page] [YouTube] - TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
Y. Xu, Y. Yin, L. Jiang, Q. Wu, C. Zheng, C. C. Loy, B. Dai, W. Wu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Conditional Prompt Learning for Vision-Language Models
K. Zhou, J. Yang, C. C. Loy, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[PDF] [arXiv] [Project Page] - Versatile Multi-Modal Pre-Training for Human-Centric Perception
F. Hong, L. Pan, Z. Cai, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR, Oral)
[PDF] [arXiv] [Project Page] - Balanced MSE for Imbalanced Visual Regression
J. Ren, M. Zhang, C. Yu, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR, Oral)
[PDF] [arXiv] [Supplementary Material] [Project Page] - TCTrack: Temporal Contexts for Aerial Tracking
Z. Cao, Z. Huang, L. Pan, S. Zhang, Z. Liu, C. Fu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Delving Deep into the Generalization of Vision Transformers under Distribution Shifts
C. Zhang, M. Zhang, S. Zhang, D. Jin, Q. Zhou, Z. Cai, H. Zhao, S. Yi, X. Liu, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[PDF] [arXiv] [Project Page] - Full-Range Virtual Try-On with Recurrent Tri-Level Transformation
H. Yang, X. Yu, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[PDF] [Supplementary Material] - Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis
J. Wang, Y. Rong, J. Liu, S. Yan, D. Lin, B. Dai
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[PDF] [arXiv] [Supplementary Material] - Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation
X. Liu, Q. Wu, H. Zhou, Y. Xu, R. Qian, X. Lin, X. Zhou, W. Wu, B. Dai, B. Zhou
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
Y. Xu, F. Wei, X. Sun, C. Yang, Y. Shen, B. Dai, B. Zhou, S. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR, Oral)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Revisiting Skeleton-based Action Recognition
H. Duan, Y. Zhao, K. Chen, D. Lin, B. Dai
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR, Oral)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets
K. T. R. Voo, L. Jiang, C. C. Loy
in Workshop Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, VDU, 2022 (CVPRW)
[PDF] [arXiv] [Supplementary Material] [Project Page] - MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks
W. Zhu, Z. Yang, Z. Di, W. Wu, Y. Wang, C. C. Loy
in Proceedings of AAAI Conference on Artificial Intelligence, 2022 (AAAI)
[arXiv] [Project Page] - Visual Sound Localization in-the-Wild by Cross-Modal Interference Erasing
X. Liu, R. Qian, H. Zhou, W. lin, Z. Liu, B. Zhou, X. Zhou
in Proceedings of AAAI Conference on Artificial Intelligence, 2022 (AAAI)
[PDF] [arXiv] - SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation
D. Zhou, X. Zhou, D. Hu, H. Zhou, L. Bai, Z. Liu, W. Ouyang
in Proceedings of AAAI Conference on Artificial Intelligence, 2022 (AAAI)
[PDF] - TAda! Temporally-Adaptive Convolutions for Video Understanding
Z. Huang, S. Zhang, L. Pan, Z. Qing, M. Tang, Z. Liu, M. H. Ang Jr
International Conference on Learning Representations, 2022 (ICLR)
[arXiv] - ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification
M. Chen, Y. Cao, K. Deng, M. Li, K. Wang, J. Shao, Y. Zhang
in Proceedings of the International Conference on Computational Linguistics, 2022 (Coling)
[arXiv] - IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction
Kennard Y. Chan, G. Lin, H. Zhao, W. Lin
European Conference on Computer Vision, 2022 (ECCV) - Improving Adversarial Robustness of 3D Point Cloud Classification Models
G. Li, G. Xu, H. Qiu, R. He, J. Li, T. Zhang
European Conference on Computer Vision, 2022 (ECCV) - FAST-VQA: Efficient End-to-End Video Quality Assessment with Fragment Sampling
H. Wu, C. Chen, J. Hou, L. Liao, A. Wang, W. Sun, Q. Yan, W. Lin
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] - Primo: Practical Learning-Augmented Systems with Interpretable Models
Q. Hu, H. Nori, P. Sun, Y. Wen, T. Zhang
in Proceedings of the USENIX Annual Technical Conference, 2022 (USENIX ATC)
[PDF] - PTTR: Relational 3D Point Cloud Object Tracking with Transformer
C. Zhou, Z. Luo, Y. Luo, T. Liu, L. Pan, Z. Cai, H. Zhao, S. Lu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[PDF] [arXiv] - Marginal Contrastive Correspondence for Exemplar-based Image Translation
F. Zhan, Y. Yu, R. Wu, J. Zhang, S. Lu, G. Zhang
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR, Oral)
[PDF] [arXiv] - Modulated Contrast for Versatile Image Synthesis
F. Zhan, J. Zhang, Y. Yu, R. Wu, S. Lu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[PDF] [arXiv] - Spectral Unsupervised Domain Adaptation for Visual Recognition
Y. Zhang, J. Huang, Z. Tian, S. Lu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[PDF] [arXiv] - GenCo: Generative Co-training on Data-Limited Image Generation
K. Cui, J. Huang, Z. Luo, G. Zhang, F. Zhan, S. Lu
in Proceedings of AAAI Conference on Artificial Intelligence, 2022 (AAAI)
[PDF] [arXiv] - MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities
Y. Ma, Z. Wang, M. Li, Y. Cao, M. Chen, X. Li, W. Sun, K. Deng, K. Wang, A. Sun, J. Shao
in Proceedings of the Meeting of the Association for Computational Linguistics, 2022 (ACL)
[DOI] - Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction
Y. Ma, Z. Wang, Y. Cao, M. Li, M. Chen, K. Wang, J. Shao
in Proceedings of the Meeting of the Association for Computational Linguistics, 2022 (ACL)
[DOI] [arXiv] - Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation
A. Xiao, J. Huang, D. Guan, F. Zhan, S. Lu
in Proceedings of AAAI Conference on Artificial Intelligence, 2022 (AAAI)
[PDF] [arXiv] - Divergence-aware Federated Self-Supervised Learning
W. Zhuang, Y. Wen, S. Zhang
International Conference on Learning Representations, 2022 (ICLR)
[arXiv] - BiBERT: Accurate Fully Binarized BERT
H. Qin, Y. Ding, M. Zhang, Q. YAN, A. Liu, Q. Dang, Z. Liu, X. Liu
International Conference on Learning Representations, 2022 (ICLR)
[arXiv] [ PDF] - EasyFL: A Low-code Federated Learning Platform For Dummies
W. Zhuang, X. Gan, Y. Wen, S. Zhang
Internet of Things Journal, 2022 (IoT-J)
[DOI] [arXiv] - RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior
R. Li, C. Zhang, G. Lin, Z. Wang, C. Shen
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[DOI] [PDF] - Weakly Supervised Segmentation on Outdoor 4D point clouds with Temporal Matching and Spatial Graph Propagation
H. Shi, J. Wei, R. Li, F. Liu, G. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[DOI] [PDF] - UniVIP: A Unified Framework for Self-Supervised Visual Pre-training
Z. Li, Y. Zhu, F. Yang, W. Li, C. Zhao, Y. Chen, Z. Chen, J. Xie, L. Wu, R. Zhao, M. Tang, J. Wang
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2022 (CVPR)
[DOI] [arXiv] [PDF] - Federated Unsupervised Domain Adaptation for Face Recognition
W. Zhuang, X. Gan, X. Zhang, Y. Wen, S. Zhang, S. Yi
INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, 2022 (ICME)
[DOI] [arXiv] - StyleSwap: Style-Based Generator Empowers Robust Face Swapping
Z. Xu, H. Zhou, Z. Hong, Z. Liu, J. Liu, Z. Guo, J. Han, J. Liu, E. Ding, J. Wang
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] - UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation
S. Qian, J. Xu, Z. Liu, L. Ma, S. Gao
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] - Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation
Z. Wu, Y. Wu, G. Lin, J. Cai, C. Qian
European Conference on Computer Vision, 2022 (ECCV)
[arXiv] - Learning Regional Purity for Instance Segmentation on 3D Point Clouds
S. Dong, G. Lin, T. Y. Hung
European Conference on Computer Vision, 2022 (ECCV) - VToonify: Controllable High-Resolution Portrait Video Style Transfer
S. Yang, Y. Jiang, Z. Liu, C. C. Loy
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia, 2022 (SIGGRAPH ASIA)
[arXiv] [PDF] - Text2Light: Zero-shot Text-driven HDR Panorama Generation
Z. Chen, G. Wang, Z. Liu
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia, 2022 (SIGGRAPH ASIA)
[arXiv] - Audio-Driven Co-Speech Gesture Video Generation
X. Liu, Q. Wu, H. Zhou, Y. Du, W. Wu, D. Lin, Z. Liu
Neural Information Processing Systems, 2022 (NeurIPS) - Deep Fourier Up-Sampling
M. Zhou, H. Yu, J. Huang, F. Zhao, J. Gu, C. C. Loy, D. Meng, C. Li
Neural Information Processing Systems, 2022 (NeurIPS) - S-PIFu: Integrating Parametric Human Models with PIFu for Single-view Clothed Human Reconstruction
K. Chan, G. Lin, H. Zhao, W. Lin
Neural Information Processing Systems, 2022 (NeurIPS) - Flare7K: A Phenomenological Nighttime Flare Removal Dataset
Y. Dai, C. Li, S. Zhou, R. Feng, C. C. Loy
Neural Information Processing Systems, 2022 (NeurIPS)
[PDF] - AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies
S. Li, Y. Li, B. Li, C. Dong, Z. Liu, C. C. Loy
Neural Information Processing Systems, 2022 (NeurIPS)
[PDF] - OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
J. Yang, P. Wang, D. Zou, Z. Zhou, K. Ding, W. Peng, H. Wang, G. Chen, B. Li, Y. Sun, X. Du, K. Zhou, W. Zhang, D. Hendrycks, Y. Li, Z. Liu
Neural Information Processing Systems, 2022 (NeurIPS)
[PDF] - Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms
H. E. Pang, Z. Cai, L. Yang, T. Zhang, Z. Liu
Neural Information Processing Systems, 2022 (NeurIPS)
[arXiv] [PDF]
TECHNICAL REPORT
- CuDi: Curve Distillation for Efficient and Controllable Exposure Adjustment
C. Li, C. Guo, R. Feng, S. Zhou, C. C. Loy
Technical report, arXiv:2207.14273, 2022
[arXiv] [Project Page] - Exploring CLIP for Assessing the Look and Feel of Images
J. Wang, K. C. K. Chan, C. C. Loy
Technical report, arXiv:2207.12396, 2022
[arXiv] - LaserMix for Semi-Supervised LiDAR Semantic Segmentation
L. Kong, J. Ren, L. Pan, Z. Liu
Technical report, arXiv:2207.00026, 2022
[arXiv] - Towards Robust Blind Face Restoration with Codebook Lookup Transformer
S. Zhou, K. C. K. Chan, C. Li, C. C. Loy
Technical report, arXiv:2206.11253, 2022
[arXiv] [Project Page] - Masked Frequency Modeling for Self-Supervised Visual Pre-Training
J. Xie, W. Li, X. Zhan, Z. Liu, Y. S. Ong, C. C. Loy
Technical report, arXiv:2206.04673, 2022
[arXiv] [Project Page] - Neural Prompt Search
Y. Zhang, K. Zhou, Z. Liu
Technical report, arXiv:2206.04673, 2022
[arXiv] [Project Page] - Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners
B. Li, J. Yang, J. Ren, Y. Wang, Z. Liu
Technical report, arXiv:2206.04046, 2022
[arXiv] [Project Page] - Robust Face Anti-Spoofing with Dual Probabilistic Modeling
Y. Zhang, Y. Wu, Z. Yin, J. Shao, Z. Liu
Technical report, arXiv:2204.12685, 2022
[arXiv] - Few-shot Forgery Detection via Guided Adversarial Interpolation
H. Qiu, S. Chen, B. Gan, K. Wang, H. Shi, J. Shao, Z. Liu
Technical report, arXiv:2204.05905, 2022
[arXiv] - On the Generalization of BasicVSR++ to Video Deblurring and Denoising
K. C. K. Chan, S. Zhou, X. Xu, C. C. Loy
Technical report, arXiv:2204.05308, 2022
[arXiv] [Project Page] - Full-Spectrum Out-of-Distribution Detection
J. Yang · K. Zhou · Z. Liu
Technical report, arXiv:2204.05306, 2022
[arXiv] [Project Page] - Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
Y. Zhang, Q. Sun, Y. Zhou, Z. He, Z. Yin, K. Wang, L. Sheng, Y. Qiao, J. Shao, Z. Liu
Technical report, arXiv:2203.07845, 2022
[arXiv] [Project Page] - LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network
F. Hong, H. Zhou, X. Zhu, H. Li, Z. Liu
Technical report, arXiv:2203.07186, 2022
[arXiv] [Project Page]
Last Updated: 25th August 2022
2021
JOURNAL
- Self-Supervised Representation Learning: Introduction, Advances and Challenges
L. Ericsson, H. Gouk, C. C. Loy, T. M. Hospedales
IEEE Signal Processing Magazine, 2021 (SPM)
[arXiv] - Low-Light Image and Video Enhancement Using Deep Learning: A Survey
C. Li, C. Guo, L. Han, J. Jiang, M. Cheng, J. Gu, C. C. Loy
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 (TPAMI)
[DOI] [arXiv] [Project Page] - Iterative Human and Automated Identification of Wildlife Images
Z. Miao, Z. Liu, K. M. Gaynor, M. S. Palmer, S. X. Yu, W. M. Getz
Nature Machine Intelligence, vol. 3, pp. 885–895, 2021 (Nat Mach Intell)
[DOI] [arXiv] - Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
X. Pan, X. Zhan, B. Dai, D. Lin, C. C. Loy, P. Luo
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 (TPAMI)
[DOI] [Project Page] - Path-Restore: Learning Network Path Selection for Image Restoration
K. Yu, X. Wang, C. Dong, X. Tang, C. C. Loy
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 (TPAMI)
[DOI] [arXiv] [Project Page] - CARAFE++: Unified Content-Aware ReAssembly of FEatures
J. Wang, K. Chen, R. Xu, Z. Liu, C. C. Loy, D. Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 (TPAMI)
[DOI] [arXiv] - Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
C. Li, C. Guo, C. C. Loy
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 (TPAMI)
[DOI] [arXiv] [Project Page] - Texture Memory-Augmented Deep Patch-Based Image Inpainting
R. Xu, M. Guo, J. Wang, X. Li, B. Zhou, C. C. Loy
IEEE Transactions on Image Processing, 2021 (TIP)
[DOI] [arXiv] - ASTRAEA: A Fair Deep Learning Scheduler for Multi-tenant GPU Clusters
Z. Ye, P. Sun, W. Gao, T. Zhang, X. Wang, S. Yan, Y. Luo
IEEE Transactions on Parallel and Distributed Systems, 2021 (TPDS)
[DOI] - Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction
Y. Cao, J. Kuang, M. Gao, A. Zhou, Y. Wen, T.-S. Chua
IEEE Transactions on Knowledge and Data Engineering, 2021 (TKDE)
[DOI] [arXiv]
CONFERENCE
- K-Net: Towards Unified Image Segmentation
W. Zhang, J. Pang, K. Chen, C. C. Loy
in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
[PDF] [arXiv] [Project Page] - Unsupervised Object-Level Representation Learning from Scene Images
J. Xie, X. Zhan, Z. Liu, Y. S. Ong, C. C. Loy
in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
[PDF] [arXiv] [Project Page] - Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
L. Jiang, B. Dai, W. Wu, C. C. Loy
in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
[PDF] [arXiv] [Project Page] [YouTube] - A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
X. Pan, X. Xu, C. C. Loy, C. Theobalt, B. Dai
in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
[PDF] [arXiv] [Project Page] - Garment4D: Garment Reconstruction from Point Cloud Sequences
F. Hong, L. Pan, Z. Cai, Z. Liu
in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
[PDF] [Project Page] - Few-Shot Object Detection via Association and Discrimination
Y. Cao, J. Wang, Y. Jin, T. Wu, K. Chen, Z. Liu, D. Lin
in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
[PDF] [arXiv] [Project Page] - Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
T. Wu, L. Pan, J. Zhang, T. Wang, Z. Liu, D. Lin
in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
[PDF] [arXiv] [Project Page] - Generative Occupancy Fields for 3D Surface-Aware Image Synthesis
X. Xu, X. Pan, D. Lin, B. Dai
in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS)
[PDF] [arXiv] [Project Page] - Semi-Supervised Domain Generalization with Stochastic StyleMatch
K. Zhou, C. C. Loy, Z. Liu
in Workshop on Distribution Shifts of Neural Information Processing Systems, 2021 (NeurIPS DistShift)
[arXiv] [Project Page] - Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements
Y. Rong, J. Wang, Z. Liu, C. C. Loy
in Proceedings of International Conference on 3D Vision, 2021 (3DV)
[arXiv] [Project Page] - 3D Human Texture Estimation from a Single Image with Transformers
X. Xu, C. C. Loy
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV, Oral)
[PDF] [arXiv] [Project Page] - FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation
Y. Zang, C. Huang, C. C. Loy
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
[PDF] [arXiv] [Supplementary Material] [Project Page] - ReconfigISP: Reconfigurable Camera Image Processing Pipeline
K. Yu, Z. Li, Y. Peng, C. C. Loy, J. Gu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Focal Frequency Loss for Image Reconstruction and Synthesis
L. Jiang, B. Dai, W. Wu, C. C. Loy
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Talk-to-Edit: Fine-Grained Facial Editing via Dialog
Y. Jiang, Z. Huang, X. Pan, C. C. Loy, Z. Liu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Semantically Coherent Out-of-Distribution Detection
J. Yang, H. Wang, L. Feng, X. Yan, H. Zheng, W. Zhang, Z. Liu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
Z. Luo, Z. Cai, C. Zhou, G. Zhang, H. Zhao, S. Yi, S. Lu, H. Li, S. Zhang, Z. Liu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
[PDF] [arXiv] [Supplementary Material] - Incorporating Convolution Designs into Visual Transformers
K. Yuan, S. Guo, Z. Liu, A. Zhou, F. Yu, W. Wu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
[PDF] [arXiv] - Differentiable Dynamic Wirings for Neural Networks
K. Yuan, Q. Li, S. Guo, D. Chen, A. Zhou, F. Yu, Z. Liu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
[PDF] - BlockPlanner: City Block Generation with Vectorized Graph Representation
L. Xu, Y. Xiangli, A. Rao, N. Zhao, B. Dai, Z. Liu, D. Lin
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
[PDF] [Supplementary Material] - Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
Y. Wang, B. Li, T. Che, K. Zhou, D. Li, Z. Liu
in Proceedings of IEEE/CVF International Conference on Computer Vision, 2021 (ICCV)
[PDF] [arXiv] - Retrospective Class Incremental Learning
Q. Tao, C. C. Loy, J. Cai, Z. Ge, S. See
in Proceedings of IEEE International Conference on Multimedia and Expo, 2021 (ICME)
[PDF] - GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution
K. C. K. Chan, X. Wang, X. Xu, J. Gu, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR, Oral)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Adversarial Robustness under Long-Tailed Distribution
T. Wu, Z. Liu, Q. Huang, Y. Wang, D. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR, Oral)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Variational Relational Point Completion Network
L. Pan, X. Chen, Z. Cai, J. Zhang, H. Zhao, S. Yi, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR, Oral)
[PDF] [arXiv] [Supplementary Material] [Project Page] - ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
Y. He, B. Gan, S. Chen, Y. Zhou, G. Yin, L. Song, L. Sheng, J. Shao, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR, Oral)
[PDF] [arXiv] [Supplementary Material] [Project Page] - BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
K. C. K. Chan, X. Wang, K. Yu, C. Dong, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Robust Reference-based Super-Resolution via C2-Matching
Y. Jiang, K. C. K. Chan, X. Wang, C. C. Loy, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Visually Informed Binaural Audio Generation without Binaural Audios
X. Xu, H. Zhou, Z. Liu, B. Dai, X. Wang, D. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Scene-aware Generative Network for Human Motion Synthesis
J. Wang, S. Yan, B. Dai, D. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
[PDF] [Supplementary Material] [Project Page] - LiDAR-based Panoptic Segmentation via Dynamic Shifting Network
F. Hong, H. Zhou, X. Zhu, H. Li, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
X. Wang, Z. Liu, S. X. Yu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network
R. Feng, C. Li, H. Chen, S. Li, C. C. Loy, J. Gu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Deep Animation Video Interpolation in the Wild
S-Y. Li, S. Zhao, W. Yu, W. Sun, D. Metaxas, C. C. Loy, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
H. Zhou, Y. Sun, W. Wu, C. C. Loy, X. Wang, Z. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Pareidolia Face Reenactment
L. Song, W. Wu, C. Fu, C. Qian, C. C. Loy, R. He
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] [YouTube] - Audio-Driven Emotional Video Portraits
X. Ji, H. Zhou, K. Wang, W. Wu, X. Cao, C. C. Loy, F. Xu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Positional Encoding as Spatial Inductive Bias in GANs
R. Xu, X. Wang, K. Chen, B. Zhou, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] [YouTube] - Seesaw Loss for Long-Tailed Instance Segmentation
J. Wang, W. Zhang, Y. Zang, Y. Cao, J. Pang, T. Gong, K. Chen, Z. Liu, C. C. Loy, D. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
[PDF] [arXiv] [Supplementary Material] - Unsupervised 3D Shape Completion through GAN Inversion
J. Zhang, X. Chen, Z. Cai, L. Pan, H. Zhao, S. Yi, C. K. Yeo, B. Dai, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs
X. Pan, B. Dai, Z. Liu, C. C. Loy, P. Luo
International Conference on Learning Representations, 2021 (ICLR, Oral)
[PDF] [arXiv] [Project Page] - Long-Tailed Recognition by Routing Diverse Distribution-Aware Experts
X. Wang, L. Lian, Z. Miao, Z. Liu, S. X. Yu
International Conference on Learning Representations, 2021 (ICLR)
[PDF] [arXiv] [Project Page] - Understanding Deformable Alignment in Video Super-Resolution
K. C. K. Chan, X. Wang, K. Yu, C. Dong, C. C. Loy
in Proceedings of AAAI Conference on Artificial Intelligence, 2021 (AAAI)
[arXiv] [Project Page] - PTeacher: a Computer-Aided Personalized Pronunciation Training System with Exaggerated Audio-Visual Corrective Feedback
Y. Bu, T. Ma, W. Li, H. Zhou, J. Jia, S. Chen, K. Xu, D. Shi, H. Wu, Z. Yang, K. Li, Z. Wu, Y. Shi, X. Lu, Z. Liu
in ACM Conference on Human Factors in Computing Systems, 2021 (CHI)
[PDF] - Chronus: A Novel Deadline-aware Scheduler for Deep Learning Training Jobs
W. Gao, Z. Ye, P. Sun, Y. Wen, T. Zhang
in Proceedings of the ACM Symposium on Cloud Computing, 2021 (ACM SoCC)
[DOI] - Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters
Q. Hu, P. Sun, S. Yan, Y. Wen, T. Zhang
in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2021 (SC)
[DOI] [arXiv] - Privacy-preserving Collaborative Learning with Automatic Transformation Search
W. Gao, S. Guo, T. Zhang, H. Qiu, Y. Wen, Y. Liu
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021 (CVPR, Oral)
[PDF] [arXiv] - Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion
Y. Cao, X. Ji, X. Lv, J. Li, Y. Wen and H. Zhang
in Proceedings of the Meeting of the Association for Computational Linguistics, 2021 (ACL)
[DOI] [arXiv] - How does Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction
Z. Hu, Y. Cao, L. Huang and T.-S. Chua
in Proceedings of the Meeting of the Association for Computational Linguistics, 2021 (ACL)
[DOI] [ arXiv] - Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition
M. Tong, S. Wang, B. Xu, Y. Cao, M. Liu, L. Hou and J. Li
in Proceedings of the Meeting of the Association for Computational Linguistics, 2021 (ACL)
[DOI] [arXiv]
TECHNICAL REPORT
- CityNeRF: Building NeRF at City Scale
Y. Xiangli, L. Xu, X. Pan, N. Zhao, A. Rao, C. Theobalt, B. Dai, D. Lin
Technical report, arXiv:2112.05504, 2021
[arXiv] [Project Page] - Robust Partial-to-Partial Point Cloud Registration in a Full Range
L. Pan, Z. Cai, Z. Liu
Technical report, arXiv:2111.15606, 2021
[arXiv] [Project Page] - The Nuts and Bolts of Adopting Transformer in GANs
R. Xu and X. Xu and K. Chen and B. Zhou and C. C. Loy
Technical report, arXiv:2110.13107, 2021
[arXiv] [Project Page] - Generalized Out-of-Distribution Detection: A Survey
J. Yang, K. Zhou, Y. Li, Z. Liu
Technical report, arXiv:2110.11334, 2021
[arXiv] [Project Page] - Playing for 3D Human Recovery
Z. Cai, M. Zhang, J. Ren, C. Wei, D. Ren, J. Li, Z. Lin, H. Zhao, S. Yi, L. Yang, C. C. Loy, Z. Liu
Technical report, arXiv:2110.07588, 2021
[arXiv] [Project Page] - Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learning
Y. Liu, H. Zhao, K. C. K. Chan, X. Wang, C. C. Loy, Y. Qiao, C. Dong
Technical report, arXiv:2110.04562, 2021
[arXiv] - Optimization Variance: Exploring Generalization Properties of DNNs
X. Zhang, D. Wu, H. Xiong, B. Dai
Technical report, arXiv:2106.01714, 2021
[arXiv] - Network Pruning via Resource Reallocation
Y. Hou, Z. Ma, C. Liu, Z. Wang, C. C. Loy
Technical report, arXiv:2103.01847, 2021
[arXiv]
Last Updated: 25th August 2022
2020
JOURNAL
- A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization
T.-W. Hui, X. Tang, C. C. Loy
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 (TPAMI)
[DOI] [arXiv] [Project Page] - High-Quality Video Generation from Static Structural Annotations
L. Sheng, J. Pan, J. Guo, J. Shao, C. C. Loy
International Journal of Computer Vision, 2020 (IJCV)
[DOI]
CONFERENCE
- Cross-Scale Internal Graph Neural Network for Image Super-Resolution
S. Zhou, J. Zhang, W. Zuo, C. C. Loy
in Proceedings of Neural Information Processing Systems, 2020 (NeurIPS)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
X. Pan, X. Zhan, B. Dai, D. Lin, C. C. Loy, P. Luo
European Conference on Computer Vision, 2020 (ECCV, Oral)
[PDF] [arXiv] [Project Page] - LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation
T.-W. Hui, C. C. Loy
European Conference on Computer Vision, 2020 (ECCV)
[PDF] [arXiv] [Supplementary Material] [Project Page] - MEAD: A Large-scale Audio-visual Dataset for Emotional Talking Face Generation
K. Wang, Q. Wu, L. Song, Z. Yang, W. Wu, C. Qian, R. He, Y. Qiao, C. C. Loy
European Conference on Computer Vision, 2020 (ECCV)
[PDF] [Supplementary Material] [Project Page] - TSIT: A Simple and Versatile Framework for Image-to-Image Translation
L. Jiang, C. Zhang, M. Huang, C. Liu, J. Shi, C. C. Loy
European Conference on Computer Vision, 2020 (ECCV, Spotlight)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Side-Aware Boundary Localization for More Precise Object Detection
J. Wang, W. Zhang, Y. Cao, K. Chen, J. Pang, T. Gong, J. Shi, C. C. Loy, D. Lin
European Conference on Computer Vision, 2020 (ECCV)
[PDF] [arXiv] [Supplementary Material] - RGB-D Salient Object Detection with Cross-Modality Modulation and Selection
C. Li, R. Cong, Y. Piao, Q. Xu, C. C. Loy
European Conference on Computer Vision, 2020 (ECCV)
[PDF] [arXiv] [Supplementary Material] [Project Page] - MessyTable: Instance Association in Multiple Camera Views
Z. Cai, J. Zhang, D. Ren, C. Yu, H. Zhao, S. Yi, C. K. Yeo, C. C. Loy
European Conference on Computer Vision, 2020 (ECCV)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Knowledge Distillation Meets Self-Supervision
G. Xu, Z. Liu, X. Li, C. C. Loy
European Conference on Computer Vision, 2020 (ECCV)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
C. Guo, C. Li, J. Guo, C. C. Loy, J. Hou, S. Kwong, R. Cong
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Self-Supervised Scene De-occlusion
X. Zhan, X. Pan, B. Dai, Z. Liu, D. Lin, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR, Oral)
[PDF] [arXiv] [Supplementary Material] [Project Page] [YouTube] - TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
Z. Yang, W. Zhu, W. Wu, C. Qian, Q. Zhou, B. Zhou, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Prime Sample Attention in Object Detection
Y. Cao, K. Chen, C. C. Loy, D. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Online Deep Clustering for Unsupervised Representation Learning
X. Zhan, J. Xie, Z. Liu, Y. S. Ong, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
[PDF] [arXiv] [Project Page] - Inter-Region Affinity Distillation for Road Marking Segmentation
Y. Hou, Z. Ma, C. Liu, T.-W. Hui, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - EcoNAS: Finding Proxies for Economical Neural Architecture Search
D. Zhou, X. Zhou, W. Zhang, C. C. Loy, S. Yi, X. Zhang, W. Ouyang
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
[PDF] [arXiv] [Supplementary Material] - DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
L. Jiang, R. Li, W. Wu, C. Qian, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Learning to Cluster Faces via Confidence and Connectivity Estimation
L. Yang, D. Chen, X. Zhan, R. Zhao, C. C. Loy, D. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
[PDF] [arXiv] [Supplementary Material] [Project Page] - Real or Not Real, That is the Question
Y. Xiangli, Y. Deng, B. Dai, C. C. Loy, D. Lin
International Conference on Learning Representations, 2020 (ICLR, Spotlight)
[PDF] [Project Page]
TECHNICAL REPORT
- Exploring Data Augmentation for Multi-Modality 3D Object Detection
W. Zhang, Z. Wang, C. C. Loy
Technical report, arXiv:2012.12741, 2020
[arXiv] [Project Page] - Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup
G. Xu, Z. Liu, C. C. Loy
Technical report, arXiv:2012.05217, 2020
[arXiv] [Project Page] - Flexible Piecewise Curves Estimation for Photo Enhancement
C. Li, C. Guo, Q. Ai, S. Zhou, C. C. Loy
Technical report, arXiv:2010.13412, 2020
[arXiv] - Delving into Inter-Image Invariance for Unsupervised Visual Representations
J. Xie, X. Zhan, Z. Liu, Y. S. Ong, C. C. Loy
Technical report, arXiv:2008.11702, 2020
[arXiv] [Project Page] - Feature Pyramid Grids
K. Chen, Y. Cao, C. C. Loy, D. Lin, C. Feichtenhofer
Technical report, arXiv:2004.03580, 2020
[arXiv] - Residual Knowledge Distillation
M. Gao, Y. Shen, Q. Li, C. C. Loy
Technical report, arXiv:2002.09168, 2020
[arXiv]