Tao Wang

According to our database, Tao Wang authored at least 27 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning Box Regression and Mask Segmentation Under Long-Tailed Distribution with Gradient Transfusing.

Tao Wang, Li Yuan, Xinchao Wang, Jiashi Feng

Int. J. Comput. Vis., February, 2025

2024

Learnable Central Similarity Quantization for Efficient Image and Video Retrieval.

Li Yuan, Tao Wang, Xiaopeng Zhang, Francis Eng Hock Tay, Zequn Jie, Yonghong Tian, Wei Liu, Jiashi Feng

IEEE Trans. Neural Networks Learn. Syst., December, 2024

MPQ-YOLO: Ultra low mixed-precision quantization of YOLO for edge devices deployment.

Xinyu Liu, Tao Wang, Jiaming Yang, Chenwei Tang, Jiancheng Lv

Neurocomputing, March, 2024

BOB-YOLO: Balancing Optimization Binarized YOLO via Module-Wise Latency.

Xinyu Liu, Wenqiang Zhou, Zhendong Yu, Jiaming Yang, Tao Wang, Chenwei Tang, Jiancheng Lv

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Zero-Shot Aerial Object Detection with Visual Description Regularization.

Zhengqing Zang, Chenyu Lin, Chenwei Tang, Tao Wang, Jiancheng Lv

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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, Jiancheng Lv

CoRR, 2023

Learning to Detect and Segment for Open Vocabulary Object Detection.

Tao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation.

Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng

IEEE Trans. Image Process., 2022

SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations.

Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng

CoRR, 2022

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision.

Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet.

Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan

CoRR, 2021

Direct Multi-view Multi-person 3D Pose Estimation.

Tao Wang, Jianfeng Zhang, Yujun Cai, Shuicheng Yan, Jiashi Feng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PnP-DETR: Towards Efficient Visual Analysis with Transformers.

Tao Wang, Li Yuan, Yunpeng Chen, Jiashi Feng, Shuicheng Yan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet.

Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Zihang Jiang, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning.

Zhuoran Zheng, Wenqi Ren, Xiaochun Cao, Xiaobin Hu, Tao Wang, Fenglong Song, Xiuyi Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes.

Li Yuan, Yichen Zhou, Shuning Chang, Ziyuan Huang, Yunpeng Chen, Xuecheng Nie, Tao Wang, Jiashi Feng, Shuicheng Yan

CoRR, 2020

Toward Accurate Person-level Action Recognition in Videos of Crowed Scenes.

Li Yuan, Yichen Zhou, Shuning Chang, Ziyuan Huang, Yupeng Chen, Xuecheng Nie, Tao Wang, Jiashi Feng, Shuicheng Yan

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation.

Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng

Proceedings of the Computer Vision - ECCV 2020, 2020

Central Similarity Quantization for Efficient Image and Video Retrieval.

Li Yuan, Tao Wang, Xiaopeng Zhang, Francis E. H. Tay, Zequn Jie, Wei Liu, Jiashi Feng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Revisiting Knowledge Distillation via Label Smoothing Regularization.

Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax.

Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Classification Calibration for Long-tail Instance Segmentation.

Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng

CoRR, 2019

Revisit Knowledge Distillation: a Teacher-free Framework.

Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng

CoRR, 2019

Central Similarity Hashing via Hadamard matrix.

Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis E. H. Tay, Jiashi Feng

CoRR, 2019

Prototype Reminding for Continual Learning.

Mengmi Zhang, Tao Wang, Joo Hwee Lim, Jiashi Feng

CoRR, 2019

Few-Shot Adaptive Faster R-CNN.

Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Distilling Object Detectors With Fine-Grained Feature Imitation.

Tao Wang, Li Yuan, Xiaopeng Zhang, Jiashi Feng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019