Distilling Object Detectors With Fine-Grained Feature Imitation. - Tao Wang 053; Li Yuan 007; Xiaopeng Zhang 008; Jiashi Feng (CVPR, 2019)

Few-Shot Adaptive Faster R-CNN. - Tao Wang 053; Xiaopeng Zhang 008; Li Yuan 007; Jiashi Feng (CVPR, 2019)

Prototype Reminding for Continual Learning. - Mengmi Zhang; Tao Wang 053; Joo Hwee Lim; Jiashi Feng (CoRR, 2019)

Central Similarity Hashing via Hadamard matrix. - Li Yuan 007; Tao Wang 053; Xiaopeng Zhang 008; Zequn Jie; Francis E. H. Tay; Jiashi Feng (CoRR, 2019)

Revisit Knowledge Distillation: a Teacher-free Framework. - Li Yuan 007; Francis E. H. Tay; Guilin Li 001; Tao Wang 053; Jiashi Feng (CoRR, 2019)

Classification Calibration for Long-tail Instance Segmentation. - Tao Wang 053; Yu Li 016; Bingyi Kang; Junnan Li 001; Jun Hao Liew; Sheng Tang; Steven C. H. Hoi; Jiashi Feng (CoRR, 2019)

Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax. - Yu Li 016; Tao Wang 053; Bingyi Kang; Sheng Tang; Chunfeng Wang; Jintao Li 001; Jiashi Feng (CVPR, 2020)

Revisiting Knowledge Distillation via Label Smoothing Regularization. - Li Yuan 007; Francis E. H. Tay; Guilin Li 001; Tao Wang 053; Jiashi Feng (CVPR, 2020)

Central Similarity Quantization for Efficient Image and Video Retrieval. - Li Yuan 007; Tao Wang 053; Xiaopeng Zhang 008; Francis E. H. Tay; Zequn Jie; Wei Liu 005; Jiashi Feng (CVPR, 2020)

The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. - Tao Wang 053; Yu Li 016; Bingyi Kang; Junnan Li 001; Jun Hao Liew; Sheng Tang; Steven C. H. Hoi; Jiashi Feng (ECCV (14), 2020)

Toward Accurate Person-level Action Recognition in Videos of Crowed Scenes. - Li Yuan 007; Yichen Zhou; Shuning Chang; Ziyuan Huang; Yupeng Chen; Xuecheng Nie; Tao Wang 053; Jiashi Feng; Shuicheng Yan (ACM Multimedia, 2020)

Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes. - Li Yuan 007; Yichen Zhou; Shuning Chang; Ziyuan Huang; Yunpeng Chen; Xuecheng Nie; Tao Wang 053; Jiashi Feng; Shuicheng Yan (CoRR, 2020)

Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning. - Zhuoran Zheng; Wenqi Ren; Xiaochun Cao; Xiaobin Hu; Tao Wang 053; Fenglong Song; Xiuyi Jia (CVPR, 2021)

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. - Li Yuan 007; Yunpeng Chen; Tao Wang 053; Weihao Yu 001; Yujun Shi; Zihang Jiang; Francis E. H. Tay; Jiashi Feng; Shuicheng Yan (ICCV, 2021)

PnP-DETR: Towards Efficient Visual Analysis with Transformers. - Tao Wang 053; Li Yuan 007; Yunpeng Chen; Jiashi Feng; Shuicheng Yan (ICCV, 2021)

Direct Multi-view Multi-person 3D Pose Estimation. - Tao Wang 053; Jianfeng Zhang; Yujun Cai; Shuicheng Yan; Jiashi Feng (NeurIPS, 2021)

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. - Li Yuan 007; Yunpeng Chen; Tao Wang 053; Weihao Yu 001; Yujun Shi; Francis E. H. Tay; Jiashi Feng; Shuicheng Yan (CoRR, 2021)

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision. - Kehong Gong; Bingbing Li; Jianfeng Zhang; Tao Wang 053; Jing Huang; Michael Bi Mi; Jiashi Feng; Xinchao Wang (CVPR, 2022)

SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations. - Tao Wang 053; Jun Hao Liew; Yu Li 016; Yunpeng Chen; Jiashi Feng (CoRR, 2022)

SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation. - Tao Wang 053; Jun Hao Liew; Yu Li 016; Yunpeng Chen; Jiashi Feng (IEEE Trans. Image Process., 2022)

Learning to Detect and Segment for Open Vocabulary Object Detection. - Tao Wang 053 (CVPR, 2023)

VCL Challenges 2023 at ICCV 2023 Technical Report: Bi-level Adaptation Method for Test-time Adaptive Object Detection. - Chenyu Lin; Yusheng He; Zhengqing Zang; Chenwei Tang; Tao Wang 053; Jiancheng Lv 001 (CoRR, 2023)

Zero-Shot Aerial Object Detection with Visual Description Regularization. - Zhengqing Zang; Chenyu Lin; Chenwei Tang; Tao Wang 053; Jiancheng Lv 001 (AAAI, 2024)

BOB-YOLO: Balancing Optimization Binarized YOLO via Module-Wise Latency. - Xinyu Liu 028; Wenqiang Zhou; Zhendong Yu; Jiaming Yang; Tao Wang 053; Chenwei Tang; Jiancheng Lv 001 (ECAI, 2024)

MPQ-YOLO: Ultra low mixed-precision quantization of YOLO for edge devices deployment. - Xinyu Liu 028; Tao Wang 053; Jiaming Yang; Chenwei Tang; Jiancheng Lv 001 (Neurocomputing, 2024)

Learnable Central Similarity Quantization for Efficient Image and Video Retrieval. - Li Yuan 007; Tao Wang 053; Xiaopeng Zhang 008; Francis Eng Hock Tay; Zequn Jie; Yonghong Tian 001; Wei Liu 005; Jiashi Feng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Learning Box Regression and Mask Segmentation Under Long-Tailed Distribution with Gradient Transfusing. - Tao Wang 053; Li Yuan 007; Xinchao Wang; Jiashi Feng (Int. J. Comput. Vis., 2025)

Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection. - Jingyu Xing; Chenwei Tang; Tao Wang 053; Rong Xiao 001; Wei Ju 001; Ji-Zhe Zhou; Liangli Zhen; Jiancheng Lv 001 (CoRR, 2025)

Precision Neural Network Quantization via Learnable Adaptive Modules. - Wenqiang Zhou; Zhendong Yu; Xinyu Liu 001; Jiaming Yang; Rong Xiao 001; Tao Wang 053; Chenwei Tang; Jiancheng Lv 001 (CoRR, 2025)

Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval. - Yifan Wang; Tao Wang 053; Chenwei Tang; Caiyang Yu; Zhengqing Zang; Mengmi Zhang; Shudong Huang; Jiancheng Lv 001 (CoRR, 2025)