Tang,Hao
Personal Homepage: https://ha0tang.github.io/
Hao Tang is an Assistant Professor at the School of Computer Science at Peking University and a recipient of a national-level high-level overseas talent program. Prior to this, he worked as a postdoctoral researcher at the Robotics Institute of Carnegie Mellon University (CMU) in the U.S. and at the Computer Vision Laboratory (CVL) of ETH Zurich in Switzerland. He received his Ph.D. from the University of Trento in Italy in 2021 and his Master's degree from Peking University in 2016. During his Ph.D., he conducted academic visits and internships at the University of Oxford in the UK and at the IIAI in the UAE, gaining extensive international academic experience.
He has published over 100 papers in top international conferences and journals, including CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, ACM MM, AAAI, IJCAI, TPAMI, IJCV, and TIP. His research has garnered several accolades, including a Best Paper Nomination at ACM MM 2018 (with a nomination rate of only 4/757).
Selected Publications
[1] Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool. Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
[2] Hao Tang, Guolei Sun, Nicu Sebe, Luc Van Gool. Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
[3] Hao Tang, Philip HS Torr, Nicu Sebe. Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
[4] Hao Tang, Ling Shao, Philip HS Torr, Nicu Sebe. Local and Global GANs with Semantic-Aware Upsampling for Image Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
[5] Hao Tang, Ling Shao, Philip HS Torr, Nicu Sebe. Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis. Springer International Journal of Computer Vision (IJCV), 2022
[6] Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool. Graph Transformer GANs for Graph-Constrained House Generation. In CVPR 2023, Vancouver, Canada
[7] Hao Tang, Xiaojuan Qi, Guolei Sun, Dan Xu, Nicu Sebe, Radu Timofte, Luc Van Gool. Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis. In ICLR 2023, Kigali, Rwanda
[8] Hao Tang, Dan Xu, Yan Yan, Philip H.S. Torr, Nicu Sebe. Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation. In CVPR 2020, Seattle, USA
[9] Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan. Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation. In CVPR 2019, Long Beach, USA
[10] Hao Tang, Song Bai, Li Zhang, Philip H.S. Torr, Nicu Sebe. XingGAN for Person Image Generation. In ECCV 2020, Glasgow, UK
[11] Zeyu Zhang, Akide Liu, Ian Reid, Richard Hartley, Bohan Zhuang, Hao Tang. Motion Mamba: Efficient and Long Sequence Motion Generation with Hierarchical and Bidirectional Selective SSM. In ECCV 2024, Milan, Italy
[12] Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang. InstructGIE: Towards Generalizable Image Editing. In ECCV 2024, Milan, Italy
[13] Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko. HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. In CVPR 2024, Seattle, USA
[14] Gengyu Zhang, Hao Tang, Yan Yan. Versatile Navigation under Partial Observability via Value-guided Diffusion Policy. In CVPR 2024, Seattle, USA
[15] Pan Xie, Qipeng Zhang, Peng Taiying, Hao Tang, Yao Du, Zexian Li. G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model. In AAAI 2024, Vancouver, Canada
[16] Peiyan Dong, Zhenglun Kong, Xin Meng, Pinrui Yu, Yifan Gong, Geng Yuan, Hao Tang, Yanzhi Wang. HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception. In NeurIPS 2023, New Orleans, USA
[17] Haoyu Chen, Hao Tang, Radu Timofte, Luc Van Gool, Guoying Zhao. LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer. In NeurIPS 2023, New Orleans, USA
[18] Jianbing Wu, Hong Liu, Yuxin Su, Wei Shi, Hao Tang. Learning Concordant Attention via Target-aware Alignment for Visible-Infrared Person Re-identification. In ICCV 2023, Paris, France
[19] Peiyan Dong, Zhenglun Kong, Xin Meng, Peng Zhang, Hao Tang, Yanzhi Wang, Chih-Hsien Chou. SpeedDETR: Speed-aware Transformers for End-to-end Object Detection. In ICML 2023, Hawaii, USA
[20] Ming Tao, Hao Tang, Fei Wu, Xiaoyuan Jing, Bingkun Bao, Changsheng Xu. DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis. In CVPR 2022, New Orleans, USA
