(* indicates corresponding author, + indicates equal contribution)
World-Model-Inspired Flicker State Modeling for Burst Flicker Removal
B. Tang, T. Wang, X. Yu, W. Luo, K. Zhang, B. Li, M. Zhang
Proc. of Neural Information Processing Systems (NeurIPS), 2026.
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Deep Image Restoration in Adverse Weather: A Survey
Z. Song, R. Li, Z. Zhang, T. Wang, J. Lu, X. Yu, K. Zhang
Neural Networks, 2026.
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UHDRes: ultra-high-definition image restoration via dual-domain decoupled spectral modulation
S. Zhao, W. Lu, B. Wang, T. Wang, K. Zhang, H. Zhao
IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2026.
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Fair and Faithful: A Diffusion-Enhanced Dataset and Hybrid State-Space Mamba for Face Super-Resolution
T. Wang, P. Xia, B. Tang, J. Chen, K. Zhang, B. Li
Proc. of the 19th European Conference on Computer Vision (ECCV), 2026.
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UHDRes: Ultra-High-Definition Image Restoration via Dual-domain Decoupled Spectral Modulation
S. Zhao, W. Lu, B. Wang, T. Wang, K. Zhang, H. Zhao
IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2026.
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EchoSR: Efficient Context Harnessing for Lightweight Image Super-Resolution
H. Zhao, B. Wang, S. Zhao, T. Wang, K. Zhang, W. Lu
Information Fusion, 2026.
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LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language Models
C. Wang, Y. Zhou, S. Chen, T. Wang, K. Zhang
Proc. of the 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026.
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Scalable and Generalizable Correspondence Pruning via Geometry-Consistent Pre-training
T. Liao, X. Zhang, T. Wang, H. Ye, M. Li, G. Xiao, M. Ye
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026.
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Deep Face Restoration: A Survey
T. Wang, K. Zhang, J. Deng, T. Lu, W. Liu, S. Zafeiriou
ACM Computing Surveys, 2026.
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RRFormer: A New Transformer-Based Method for Ultra High-Definition Reflection Removal
Z. Song, Z. Zhang, R. Li, K. Zhang, T. Wang, J. Lu
Information Fusion, 2026.
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Evolutionary Multi-Agent Collaboration for Real-World Video Face Restoration
B. Tang, T. Wang, M. Zhang, X. Yu, J. Chen, B. Li, K. Zhang
Proc. of IEEE Conference on Computer Vision and Pattern Recognition‌ (CVPR), 2026.
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Bayesian Decomposition and Semantic Completion for Few-shot Semantic Segmentation
G. Shi, Y. Wu, W. Zhu, T. Wang, H. Zhang, B. Li, T. Lu
Proc. of IEEE Conference on Computer Vision and Pattern Recognition‌ (CVPR), 2026.
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CorrMoE: Mixture of Experts with De-stylization Learning for Cross-Scene and Cross-Domain Correspondence Pruning
P. Xia, T. Tang, W. Zhu, D. Zhao, J. Ke, K. Zhang, T. Lu, T. Wang
Proc. of European Conference on Artificial Intelligence (ECAI), 2025.
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MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restoration
T. Wang, P. Xia, B. Li, P. Jiang, Z. Kong, K. Zhang, T. Lu, W. Luo
Proc. of International Conference on Computer Vision, 2025.
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MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusion
Z. He, M. Yang, S. Yang, Y. Tang, T. Wang, K. Zhang, G. Chen, Y. Liu, J. Jiang, C. Guo, W. Luo
Proc. of International Conference on Computer Vision, 2025.
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DAM-VSR: Disentanglement of Appearance and Motion for Video Super-Resolution
Z. Kong, L. Li, Y. Zhang, F. Gao, S. Yang, T. Wang, K. Zhang, Z. Kang, X. Wei, G. Chen, W. Luo
ACM SIGGRAPH, 2025.
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LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement
T. Wang, K. Zhang, Y. Zhang, W. Luo, B. Stenger, T. Lu, TK. Kim, W. Liu
Pattern Recognition (PR), 2025.
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LLFA: Fusing Global Illumination and Local Priors for Low-Light Face Image Enhancement with Adaptor
Z. Shao, T. Wang, K. Zhang, H. Dan, T. Lu
*Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.
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Segmentation Guided Sparse Transformer for Under-Display Camera Image Restoration
J. Xue, T. Wang, P. Dai, K. Zhang
Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.
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Visual Style Prompt Learning Using Diffusion Models for Blind Face Restoration
W. Lu, J. Wang, T. Wang, K. Zhang, X. Jiang, H. Zhao
Pattern Recognition (PR), 2025.
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Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing
Z. Kong, W. Zhang, T. Wang, K. Zhang, Y. Li, X. Tang, W. Luo
IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2024.
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Blind Face Video Restoration with Temporal Consistent Generative Prior and Degradation-Aware Prompt
J. Tan, H. Park, Y. Zhang, T. Wang, K. Zhang, X. Kong, P. Dai, Z. Liu, W. Luo
Proc. of ACM International Conference on Multimedia (ACM MM), 2024.
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CorrAdaptor: Adaptive Local Context Learning for Correspondence Pruning
W. Zhu, Y. Liu, Y. He, T. Liao, K. Zheng, X. Xu, T. Wang, T. Lu
*Proc. of European Conference on Artificial Intelligence (ECAI), 2024.
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Omg: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models
Z. Kong, Y. Zhang, T. Yang, T. Wang, K. Zhang, B. Wu, G. Chen, W. Liu, W. Luo
Proc. of European Conference on Computer Vision (ECCV), 2024.
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Towards Real-World Blind Face Restoration with Generative Diffusion Prior
X. Chen, J. Tan, T. Wang, K. Zhang, W. Luo, X. Cao
IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2024.
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GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions
T. Wang, K. Zhang, Z. Shao, W. Luo, B. Stenger, T. Lu, TK. Kim, W. Liu, H. Li
International Journal of Computer Vision (IJCV), 2024.
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VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning
T. Liao, X. Zhang, L. Zhao, T. Wang, G. Xiao
Proc. of the Association for the Advancement of Artificial Intelligence (AAAI), 2024.
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Blind Face Restoration for Under-Display Camera via Dictionary Guided Transformer
J. Tan, X. Chen, T. Wang, K. Zhang, W. Luo, X. Cao
IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2023.
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Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models
W. Wang, C. Du, T. Wang, K. Zhang, W. Luo, L. Ma, W. Liu, X. Cao
Proc. of Neural Information Processing Systems (NeurIPS), 2023.
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MC-Blur: A Comprehensive Benchmark for Image Deblurring
K. Zhang, T. Wang, W. Luo, B. Chen, W. Ren, B. Stenger, W. Liu, H. Li, M.H. Yang
IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2023.
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Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning
T. Wang, G. Tao, W. Lu, K. Zhang, W. Luo, X. Zhang, T. Lu
Pattern Recognition (PR), 2023.
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Graph Propagation Transformer for Graph Representation Learning
Z. Chen, H. Tan, T. Wang, T. Shen, T. Lu, Q. Peng, C. Cheng, Y. Qi
Proc. of International Joint Conference on Artificial Intelligence (IJCAI), China, 2023.
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Multi-prior Driven Network for RGB-D Salient Object Detection
X. Zhang, Y. Xu, T. Wang, T. Liao
IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2023.
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Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method
T. Wang, K. Zhang, T. Shen, W. Luo, B. Stenger, T. Lu
Proc. of the Association for the Advancement of Artificial Intelligence (AAAI), USA, 2023. (ORAL)
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Dynamic Feature Learning for COVID-19 Segmentation and Classification
X. Zhang, R. Jiang, P. Huang, T. Wang, M. Hu, AF. Scarsbrook, AF. Frangi
Computers in Biology and Medicine (CBM), 2022.
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Uncertainty-Based Network for Few-Shot Image Classification
M. Yuan, Q. Xu, C. Cai, Y. Zheng, T. Wang, T. Lu, W. Li
Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2022. (ORAL)
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Haze Concentration Adaptive Network for Image Dehazing
T. Wang, L. Zhao, P. Huang, X. Zhang, J. Xu
Neurocomputing (Neuro), 2021.
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Video Deblurring via Spatiotemporal Pyramid Network and Adversarial Gradient Prior
T. Wang, X. Zhang, R. Jiang, L. Zhao, H. Chen, W. Luo
Computer Vision and Image Understanding (CVIU), 2021.
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Single Image Haze Removal Based on a Simple Additive Model with Haze Smoothness Prior
X. Zhang, T. Wang, G. Tang, L. Zhao, Y. Xu, S. Maybank
IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2021.
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Structured Dictionary Learning with Block Diagonal Regularization for Image Classification
M. Xu, R. Jiang, T. Wang, D. Wang, X. Lu
Proc. of IEEE International Conference on Big Data (Big Data), 2020.
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Single Image Dehazing via Dual-Path Recurrent Network
X. Zhang, R. Jiang, T. Wang, W. Luo
IEEE Trans. on Image Processing (TIP), 2021.
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Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals
X. Zhang, R. Jiang, C. Fan, T. Tong, T. Wang, P. Huang
International Journal of Automation and Computing (IJAC), 2021.
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Hierarchical Feature Fusion with Mixed Convolution Attention for Single Image Dehazing
X. Zhang, J. Wang, T. Wang, R. Jiang
IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2021. (ESI Highly Cited Paper)
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Attention-based Interpolation Network for Video Deblurring
X. Zhang, R. Jiang, T. Wang, P. Huang, L. Zhao
Neurocomputing (Neuro), 2021.
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Self-filtering Image Dehazing with Self-supporting Module
P. Huang, L. Zhao, R. Jiang, T. Wang, X. Zhang
Neurocomputing (Neuro), 2021.
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Robust Feature Learning for Adversarial Defense via Hierarchical Feature Alignment
X. Zhang, J. Wang, T. Wang, R. Jiang, J. Xu, L. Zhao
Information Sciences (IS), 2021.
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Multi-level Fusion and Attention-guided CNN for Image Dehazing
X. Zhang, T. Wang, W. Luo, P. Huang
*IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2021. (ESI Highly Cited Paper)
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Recursive Neural Network for Video deblurring
X. Zhang, R. Jiang, T. Wang, J. Wang
IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2020. (ESI Highly Cited Paper)
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Pyramid Channel-based Feature Attention Network for Image Dehazing
X. Zhang, T. Wang, J. Wang, G. Tang, L. Zhao
Computer Vision and Image Understanding (CVIU), 2020. (ESI Highly Cited Paper)
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