Zhentao Tan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 38

Top Topics

Image Synthesis

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Tianxiang Chen, Zhentao Tan, Qi Chu, Yue Wu, Bin Liu, Nenghai Yu
TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection. CoRR (2024)
Tianxiang Chen, Zhentao Tan, Tao Gong, Qi Chu, Yue Wu, Bin Liu, Jieping Ye, Nenghai Yu
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection. CoRR (2024)
Zhentao Tan, Yue Wu, Qiankun Liu, Qi Chu, Le Lu, Jieping Ye, Nenghai Yu
Exploring the Application of Large-Scale Pre-Trained Models on Adverse Weather Removal. IEEE Trans. Image Process. 33 (2024)
Tianxiang Chen, Zhentao Tan, Tao Gong, Qi Chu, Yue Wu, Bin Liu, Le Lu, Jieping Ye, Nenghai Yu
Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues. CoRR (2024)
Zhentao Tan, Xiaodan Li, Yue Wu, Qi Chu, Le Lu, Nenghai Yu, Jieping Ye
Boosting Vanilla Lightweight Vision Transformers via Re-parameterization. ICLR (2024)
Zhentao Tan, Yadong Mu
Hierarchical reinforcement learning for chip-macro placement in integrated circuit. Pattern Recognit. Lett. 179 (2024)
Zhentao Tan, Yadong Mu
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem. CoRR (2024)
Tianxiang Chen, Zhentao Tan, Qi Chu, Yue Wu, Bin Liu, Nenghai Yu
TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection. AAAI (2024)
Wenhao Wang, Yifan Sun, Zhentao Tan, Yi Yang
AnyPattern: Towards In-context Image Copy Detection. CoRR (2024)
Zhentao Tan, Wenhao Wang, Caifeng Shan
Vision transformers are active learners for image copy detection. Neurocomputing 587 (2024)
Qiankun Liu, Yuqi Jiang, Zhentao Tan, Dongdong Chen, Ying Fu, Qi Chu, Gang Hua, Nenghai Yu
Transformer based Pluralistic Image Completion with Reduced Information Loss. CoRR (2024)
Borui Jiang, Yang Jin, Zhentao Tan, Yadong Mu
Video Action Segmentation via Contextually Refined Temporal Keypoints. ICCV (2023)
Zhentao Tan, Yue Wu, Qiankun Liu, Qi Chu, Le Lu, Jieping Ye, Nenghai Yu
Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removal. CoRR (2023)
Tianxiang Chen, Qi Chu, Zhentao Tan, Bin Liu, Nenghai Yu
ABMNet: Coupling Transformer with CNN Based on Adams-Bashforth-Moulton Method for Infrared Small Target Detection. ICME (2023)
Zhentao Tan, Qi Chu, Menglei Chai, Dongdong Chen, Jing Liao, Qiankun Liu, Bin Liu, Gang Hua, Nenghai Yu
Semantic Probability Distribution Modeling for Diverse Semantic Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Tianxiang Chen, Qi Chu, Zhentao Tan, Bin Liu, Nenghai Yu
BAUENet: Boundary-Aware Uncertainty Enhanced Network for Infrared Small Target Detection. ICASSP (2023)
Feifei Wang, Zhentao Tan, Tianyi Wei, Yue Wu, Qidong Huang
SimAC: A Simple Anti-Customization Method against Text-to-Image Synthesis of Diffusion Models. CoRR (2023)
Qinhong Yang, Dongdong Chen, Zhentao Tan, Qiankun Liu, Qi Chu, Jianmin Bao, Lu Yuan, Gang Hua, Nenghai Yu
HQ-50K: A Large-scale, High-quality Dataset for Image Restoration. CoRR (2023)
Dianmo Sheng, Dongdong Chen, Zhentao Tan, Qiankun Liu, Qi Chu, Jianmin Bao, Tao Gong, Bin Liu, Shengwei Xu, Nenghai Yu
Towards More Unified In-context Visual Understanding. CoRR (2023)
Changtao Miao, Qi Chu, Zhentao Tan, Zhenchao Jin, Wanyi Zhuang, Yue Wu, Bin Liu, Honggang Hu, Nenghai Yu
Multi-spectral Class Center Network for Face Manipulation Detection and Localization. CoRR (2023)
Changtao Miao, Qi Chu, Weihai Li, Suichan Li, Zhentao Tan, Wanyi Zhuang, Nenghai Yu
Learning Forgery Region-Aware and ID-Independent Features for Face Manipulation Detection. IEEE Trans. Biom. Behav. Identity Sci. 4 (1) (2022)
Qiankun Liu, Zhentao Tan, Dongdong Chen, Qi Chu, Xiyang Dai, Yinpeng Chen, Mengchen Liu, Lu Yuan, Nenghai Yu
Reduce Information Loss in Transformers for Pluralistic Image Inpainting. CVPR (2022)
Qiankun Liu, Zhentao Tan, Dongdong Chen, Qi Chu, Xiyang Dai, Yinpeng Chen, Mengchen Liu, Lu Yuan, Nenghai Yu
Reduce Information Loss in Transformers for Pluralistic Image Inpainting. CoRR (2022)
Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Zhentao Tan, Lu Yuan, Weiming Zhang, Nenghai Yu
HairCLIP: Design Your Hair by Text and Reference Image. CVPR (2022)
Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Gang Hua, Nenghai Yu
Efficient Semantic Image Synthesis via Class-Adaptive Normalization. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Wanyi Zhuang, Qi Chu, Zhentao Tan, Qiankun Liu, Haojie Yuan, Changtao Miao, Zixiang Luo, Nenghai Yu
UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection. ECCV (5) (2022)
Wanyi Zhuang, Qi Chu, Zhentao Tan, Qiankun Liu, Haojie Yuan, Changtao Miao, Zixiang Luo, Nenghai Yu
UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection. CoRR (2022)
Zhentao Tan, Bin Liu, Qi Chu, Hangshi Zhong, Yue Wu, Weihai Li, Nenghai Yu
Real Time Video Object Segmentation in Compressed Domain. IEEE Trans. Circuits Syst. Video Technol. 31 (1) (2021)
Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Bin Liu, Gang Hua, Nenghai Yu
Diverse Semantic Image Synthesis via Probability Distribution Modeling. CoRR (2021)
Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Bin Liu, Gang Hua, Nenghai Yu
Diverse Semantic Image Synthesis via Probability Distribution Modeling. CVPR (2021)
Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Zhentao Tan, Lu Yuan, Weiming Zhang, Nenghai Yu
HairCLIP: Design Your Hair by Text and Reference Image. CoRR (2021)
Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, Nenghai Yu
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing. CoRR (2020)
Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, Nenghai Yu
MichiGAN: multi-input-conditioned hair image generation for portrait editing. ACM Trans. Graph. 39 (4) (2020)
Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Nenghai Yu
Rethinking Spatially-Adaptive Normalization. CoRR (2020)
Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Gang Hua, Nenghai Yu
Semantic Image Synthesis via Efficient Class-Adaptive Normalization. CoRR (2020)
Hangshi Zhong, Zhentao Tan, Bin Liu, Weihai Li, Nenghai Yu
PPML: Metric Learning with Prior Probability for Video Object Segmentation. VCIP (2019)
Zheran Hong, Sheng Chen, Zhentao Tan, Qiankun Liu, Bin Liu, Nenghai Yu
Enhanced Video Segmentation with Object Tracking. ICIG (1) (2019)
Zhentao Tan, Bin Liu, Nenghai Yu
PPEDNet: Pyramid Pooling Encoder-Decoder Network for Real-Time Semantic Segmentation. ICIG (1) (2017)