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ORCIDHao Tang 0005
Person information
- affiliation: ETH Zurich, Switzerland
- affiliation: University of Trento, Multimedia and Human Understanding Group, Italy
- affiliation (former): Peking University, Shenzhen Graduate School, Beijing, China
Other persons with the same name
- Hao Tang — disambiguation page
- Hao Tang 0001 — Hewlett-Packard Labs., Multimedia Interaction & Understanding Laboratory, Palo Alto, CA, USA (and 3 more)
- Hao Tang 0002
![[0000-0002-2445-2605]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2445-2605")
— Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA (and 2 more) - Hao Tang 0003 — Tsinghua University, Department of Philosophy, Beijing, China (and 4 more)
- Hao Tang 0004 — Hainan University, School of Information and Communication Engineering, Haikou, China (and 1 more)
- Hao Tang 0006 — Central South University, Second Xiangya Hospital, Changsha, China
- Hao Tang 0007 — Nanjing University of Science and Technology, China
- Hao Tang 0008 — Cornell University, Ithaca, NY, USA (and 3 more)
- Hao Tang 0009 — Hefei University of Technology, School of Electrical Engineering and Automation, China
- Hao Tang 0010 — University of California, Irvine, Department of Computer Science, CA, USA
- Hao Tang 0011 — City University of New York, CUNY, City College, Department of Computer Science, Borough of Manhattan Community College, NY, USA
- Hao Tang 0012 — Wuhan University, Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, China
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2020 – today
- 2025
[j45]Hao Tang, Bin Ren, Nicu Sebe:
A pure MLP-Mixer-based GAN framework for guided image translation. Pattern Recognit. 157: 110894 (2025)- 2024
- [j44]Xuehai Zhang, Wenbo Zhou, Kunlin Liu, Hao Tang, Zhenyu Zhang, Weiming Zhang, Nenghai Yu:
ControlFace: Feature Disentangling for Controllable Face Swapping. J. Imaging 10(1): 21 (2024) - [j43]Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Graph Transformer GANs With Graph Masked Modeling for Architectural Layout Generation. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4298-4313 (2024) - [j42]Qingsen Yan, Tao Hu, Yuan Sun, Hao Tang, Yu Zhu, Wei Dong, Luc Van Gool, Yanning Zhang:
Toward High-Quality HDR Deghosting With Conditional Diffusion Models. IEEE Trans. Circuits Syst. Video Technol. 34(5): 4011-4026 (2024) - [j41]Lei Ding, Kun Zhu, Daifeng Peng, Hao Tang, Kuiwu Yang, Lorenzo Bruzzone:
Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j40]Bin Ren, Hao Tang, Fanyang Meng, Runwei Ding, Philip Torr, Nicu Sebe:
Cloth Interactive Transformer for Virtual Try-On. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 92:1-92:20 (2024) - [c78]Pan Xie, Qipeng Zhang, Taiying Peng, Hao Tang, Yao Du, Zexian Li:
G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model. AAAI 2024: 6234-6242 - [c77]Jianyuan Ni, Hao Tang, Yuzhang Shang, Bin Duan, Yan Yan:
Adaptive Cross-Architecture Mutual Knowledge Distillation. FG 2024: 1-5 - [c76]Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao:
Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day. ICLR 2024 - [c75]Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang:
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. ICS 2024: 324-337 - [c74]Zhenghao Zhao, Hao Tang, Joy Wan, Yan Yan:
Monocular Expressive 3D Human Reconstruction of Multiple People. ICMR 2024: 423-432 - [c73]Bin Duan, Hao Tang, Changchang Sun, Ye Zhu, Yan Yan:
Mining and Unifying Heterogeneous Contrastive Relations for Weakly-Supervised Actor-Action Segmentation. WACV 2024: 483-492 - [c72]Baptiste Chopin, Hao Tang, Mohamed Daoudi:
Bipartite Graph Diffusion Model for Human Interaction Generation. WACV 2024: 5321-5330 - [i110]Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation. CoRR abs/2401.07721 (2024) - [i109]Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang:
InstructGIE: Towards Generalizable Image Editing. CoRR abs/2403.05018 (2024) - [i108]Jun Liu, Chao Wu, Changdi Yang, Hao Tang, Haoye Dong, Zhenglun Kong, Geng Yuan, Wei Niu, Dong Huang, Yanzhi Wang:
Efficient Pruning of Large Language Model with Adaptive Estimation Fusion. CoRR abs/2403.10799 (2024) - [i107]Bin Xie, Hao Tang, Bin Duan, Dawen Cai, Yan Yan:
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation. CoRR abs/2403.14103 (2024) - [i106]Junyi Wu, Bin Duan, Weitai Kang, Hao Tang, Yan Yan:
Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer. CoRR abs/2403.14552 (2024) - [i105]Guillaume Thiry, Hao Tang, Radu Timofte, Luc Van Gool:
Towards Online Real-Time Memory-based Video Inpainting Transformers. CoRR abs/2403.16161 (2024) - [i104]Junyi Wu, Weitai Kang, Hao Tang, Yuan Hong, Yan Yan:
On the Faithfulness of Vision Transformer Explanations. CoRR abs/2404.01415 (2024) - [i103]Gengyu Zhang, Hao Tang, Yan Yan:
Versatile Navigation under Partial Observability via Value-guided Diffusion Policy. CoRR abs/2404.02176 (2024) - [i102]Haoyu Chen, Hao Tang, Ehsan Adeli, Guoying Zhao:
Towards Robust 3D Pose Transfer with Adversarial Learning. CoRR abs/2404.02242 (2024) - [i101]Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko:
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. CoRR abs/2404.03159 (2024) - [i100]Ming Tao, Bing-Kun Bao, Hao Tang, Yaowei Wang, Changsheng Xu:
StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion. CoRR abs/2404.05979 (2024) - [i99]Jianyuan Ni, Hao Tang, Syed Tousiful Haque, Yan Yan, Anne H. H. Ngu:
A Survey on Multimodal Wearable Sensor-based Human Action Recognition. CoRR abs/2404.15349 (2024) - [i98]Ziheng Qin, Zhaopan Xu, Yukun Zhou, Zangwei Zheng, Zebang Cheng, Hao Tang, Lei Shang, Baigui Sun, Xiaojiang Peng, Radu Timofte, Hongxun Yao, Kai Wang, Yang You:
Dataset Growth. CoRR abs/2405.18347 (2024) - [i97]Xiaoxu Xu, Yitian Yuan, Jinlong Li, Qiudan Zhang, Zequn Jie, Lin Ma, Hao Tang, Nicu Sebe, Xu Wang:
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance. CoRR abs/2407.09826 (2024) - [i96]Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang:
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. CoRR abs/2407.18175 (2024) - 2023
- [j39]Yidi Li, Guoquan Wang, Zhan Chen, Hao Tang, Hong Liu:
On-device audio-visual multi-person wake word spotting. CAAI Trans. Intell. Technol. 8(4): 1578-1589 (2023) - [j38]Elia Peruzzo, Willi Menapace, Vidit Goel, Federica Arrigoni, Hao Tang, Xingqian Xu, Arman Chopikyan, Nikita Orlov, Yuxiao Hu, Humphrey Shi, Nicu Sebe, Elisa Ricci:
Interactive Neural Painting. Comput. Vis. Image Underst. 235: 103778 (2023) - [j37]Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Deng-Ping Fan, Radu Timofte, Luc Van Gool:
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis. Mach. Intell. Res. 20(6): 822-836 (2023) - [j36]Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis. Int. J. Comput. Vis. 131(3): 644-658 (2023) - [j35]Kunlin Liu, Wenbo Zhou, Zhenyu Zhang, Yanhao Ge, Hao Tang, Weiming Zhang, Nenghai Yu:
Measuring the Consistency and Diversity of 3D Face Generation. IEEE J. Sel. Top. Signal Process. 17(6): 1208-1220 (2023) - [j34]Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Local and Global GANs With Semantic-Aware Upsampling for Image Generation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 768-784 (2023) - [j33]Hao Tang, Philip H. S. Torr, Nicu Sebe:
Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6055-6071 (2023) - [j32]Hao Tang, Guolei Sun, Nicu Sebe, Luc Van Gool:
Edge Guided GANs With Multi-Scale Contrastive Learning for Semantic Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14435-14452 (2023) - [j31]Wenhao Li, Hong Liu, Hao Tang, Pichao Wang:
Multi-hypothesis representation learning for transformer-based 3D human pose estimation. Pattern Recognit. 141: 109631 (2023) - [j30]Linhui Dai, Hong Liu, Hao Tang, Zhiwei Wu, Pinhao Song:
AO2-DETR: Arbitrary-Oriented Object Detection Transformer. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2342-2356 (2023) - [j29]Haozhe Xing, Shuyong Gao, Yan Wang, Xujun Wei, Hao Tang, Wenqiang Zhang:
Go Closer to See Better: Camouflaged Object Detection via Object Area Amplification and Figure-Ground Conversion. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5444-5457 (2023) - [j28]Haohao Ren, Sen Liu, Xuelian Yu, Lin Zou, Yun Zhou, Xuegang Wang, Hao Tang:
Transductive Prototypical Attention Reasoning Network for Few-Shot SAR Target Recognition. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j27]Haohao Ren, Xuelian Yu, Sen Liu, Lin Zou, Xuegang Wang, Hao Tang:
Adaptive Convolutional Subspace Reasoning Network for Few-Shot SAR Target Recognition. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j26]Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte:
3D-Aware Video Generation. Trans. Mach. Learn. Res. 2023 (2023) - [j25]Songsong Wu, Hao Tang, Xiao-Yuan Jing, Haifeng Zhao, Jianjun Qian, Nicu Sebe, Yan Yan:
Cross-View Panorama Image Synthesis. IEEE Trans. Multim. 25: 3546-3559 (2023) - [j24]Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci:
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. IEEE Trans. Multim. 25: 3841-3854 (2023) - [j23]Baptiste Chopin, Hao Tang, Naima Otberdout, Mohamed Daoudi, Nicu Sebe:
Interaction Transformer for Human Reaction Generation. IEEE Trans. Multim. 25: 8842-8854 (2023) - [j22]Hao Tang, Hong Liu, Dan Xu, Philip H. S. Torr, Nicu Sebe:
AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1972-1987 (2023) - [j21]Yue Song, Hao Tang, Nicu Sebe, Wei Wang:
Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 7:1-7:15 (2023) - [j20]Hao Tang, Lei Ding, Songsong Wu, Bin Ren, Nicu Sebe, Paolo Rota:
Deep Unsupervised Key Frame Extraction for Efficient Video Classification. ACM Trans. Multim. Comput. Commun. Appl. 19(3): 119:1-119:17 (2023) - [j19]Mengyi Zhao, Hao Tang, Pan Xie, Shuling Dai, Nicu Sebe, Wei Wang:
Bidirectional Transformer GAN for Long-term Human Motion Prediction. ACM Trans. Multim. Comput. Commun. Appl. 19(5): 163:1-163:19 (2023) - [c71]Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang:
Towards Real-Time Segmentation on the Edge. AAAI 2023: 1468-1476 - [c70]Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang:
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. AAAI 2023: 8360-8368 - [c69]Ming Tao, Bing-Kun Bao, Hao Tang, Fei Wu, Longhui Wei, Qi Tian:
DE-net: Dynamic Text-Guided Image Editing Adversarial Networks. AAAI 2023: 9971-9979 - [c68]Zhaochong An, Guolei Sun, Zongwei Wu, Hao Tang, Luc Van Gool:
Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation. BMVC 2023: 542 - [c67]Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
LSDIR: A Large Scale Dataset for Image Restoration. CVPR Workshops 2023: 1775-1787 - [c66]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. CVPR 2023: 2173-2182 - [c65]Qingsen Yan, Song Zhang, Weiye Chen, Hao Tang, Yu Zhu, Jinqiu Sun, Luc Van Gool, Yanning Zhang:
SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders. CVPR 2023: 5775-5784 - [c64]Xuan Shen, Yaohua Wang, Ming Lin, Yilun Huang, Hao Tang, Xiuyu Sun, Yanzhi Wang:
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network. CVPR 2023: 6163-6173 - [c63]Guofeng Mei, Hao Tang, Xiaoshui Huang, Weijie Wang, Juan Liu, Jian Zhang, Luc Van Gool, Qiang Wu:
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration. CVPR 2023: 13611-13620 - [c62]Ming Tao, Bing-Kun Bao, Hao Tang, Changsheng Xu:
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis. CVPR 2023: 14214-14223 - [c61]Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang:
Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge. CVPR 2023: 15402-15412 - [c60]Bin Ren, Hao Tang, Yiming Wang, Xia Li, Wei Wang, Nicu Sebe:
PI-Trans: Parallel-Convmlp and Implicit-Transformation Based Gan for Cross-View Image Translation. ICASSP 2023: 1-5 - [c59]Bin Xie, Hao Tang, Bin Duan, Dawen Cai, Yan Yan:
MLP-GAN for Brain Vessel Image Segmentation. ICASSP 2023: 1-5 - [c58]Haozhe Xing, Shuyong Gao, Hao Tang, Tsui Qin Mok, Yanlan Kang, Wenqiang Zhang:
TINYCOD: Tiny and Effective Model for Camouflaged Object Detection. ICASSP 2023: 1-5 - [c57]Jianbing Wu, Hong Liu, Yuxin Su, Wei Shi, Hao Tang:
Learning Concordant Attention via Target-aware Alignment for Visible-Infrared Person Re-identification. ICCV 2023: 11088-11097 - [c56]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. ICLR 2023 - [c55]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. ICML 2023: 8227-8243 - [c54]Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang:
Data Level Lottery Ticket Hypothesis for Vision Transformers. IJCAI 2023: 1378-1386 - [c53]Haoyu Chen, Hao Tang, Radu Timofte, Luc Van Gool, Guoying Zhao:
LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer. NeurIPS 2023 - [c52]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. NeurIPS 2023 - [c51]Peiyan Dong, Lei Lu, Chao Wu, Cheng Lyu, Geng Yuan, Hao Tang, Yanzhi Wang:
PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile. NeurIPS 2023 - [c50]Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li:
Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS 2023 - [c49]Hao Ding, Changchang Sun, Hao Tang, Dawen Cai, Yan Yan:
Few-shot Medical Image Segmentation with Cycle-resemblance Attention. WACV 2023: 2487-2496 - [i95]Baptiste Chopin, Hao Tang, Mohamed Daoudi:
Bipartite Graph Diffusion Model for Human Interaction Generation. CoRR abs/2301.10134 (2023) - [i94]Ming Tao, Bing-Kun Bao, Hao Tang, Changsheng Xu:
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis. CoRR abs/2301.12959 (2023) - [i93]Xuan Shen, Yaohua Wang, Ming Lin, Yilun Huang, Hao Tang, Xiuyu Sun, Yanzhi Wang:
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network. CoRR abs/2303.02165 (2023) - [i92]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. CoRR abs/2303.08225 (2023) - [i91]Guofeng Mei, Hao Tang, Xiaoshui Huang, Weijie Wang, Juan Liu, Jian Zhang, Luc Van Gool, Qiang Wu:
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration. CoRR abs/2303.13290 (2023) - [i90]Qingsen Yan, Song Zhang, Weiye Chen, Hao Tang, Yu Zhu, Jinqiu Sun, Luc Van Gool, Yanning Zhang:
SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders. CoRR abs/2304.06914 (2023) - [i89]Linhui Dai, Hong Liu, Pinhao Song, Hao Tang, Runwei Ding, Shengquan Li:
Edge-guided Representation Learning for Underwater Object Detection. CoRR abs/2306.00440 (2023) - [i88]Hao Tang, Guolei Sun, Nicu Sebe, Luc Van Gool:
Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis. CoRR abs/2307.12084 (2023) - [i87]Elia Peruzzo, Willi Menapace, Vidit Goel, Federica Arrigoni, Hao Tang, Xingqian Xu, Arman Chopikyan, Nikita Orlov, Yuxiao Hu, Humphrey Shi, Nicu Sebe, Elisa Ricci:
Interactive Neural Painting. CoRR abs/2307.16441 (2023) - [i86]Lei Ding, Kun Zhu, Daifeng Peng, Hao Tang, Kuiwu Yang, Lorenzo Bruzzone:
Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images. CoRR abs/2309.01429 (2023) - [i85]Zhaochong An, Guolei Sun, Zongwei Wu, Hao Tang, Luc Van Gool:
Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation. CoRR abs/2309.08020 (2023) - [i84]Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao:
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day. CoRR abs/2310.03015 (2023) - [i83]Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li:
Does Graph Distillation See Like Vision Dataset Counterpart? CoRR abs/2310.09192 (2023) - [i82]Qingsen Yan, Tao Hu, Yuan Sun, Hao Tang, Yu Zhu, Wei Dong, Luc Van Gool, Yanning Zhang:
Towards High-quality HDR Deghosting with Conditional Diffusion Models. CoRR abs/2311.00932 (2023) - [i81]Liangchen Song, Liangliang Cao, Jiatao Gu, Yifan Jiang, Junsong Yuan, Hao Tang:
Efficient-NeRF2NeRF: Streamlining Text-Driven 3D Editing with Multiview Correspondence-Enhanced Diffusion Models. CoRR abs/2312.08563 (2023) - 2022
- [j18]Mengyi Zhao, Shuling Dai, Yanjun Zhu, Hao Tang, Pan Xie, Yue Li, Chunlei Liu, Baochang Zhang:
PB-GCN: Progressive binary graph convolutional networks for skeleton-based action recognition. Neurocomputing 501: 640-649 (2022) - [j17]Songsong Wu, Hao Tang, Xiao-Yuan Jing, Jianjun Qian, Nicu Sebe, Yan Yan, Qinghua Zhang:
Cross-view panorama image synthesis with progressive attention GANs. Pattern Recognit. 131: 108884 (2022) - [j16]Hao Tang, Nicu Sebe:
Facial Expression Translation Using Landmark Guided GANs. IEEE Trans. Affect. Comput. 13(4): 1986-1997 (2022) - [j15]Lei Ding, Dong Lin, Shaofu Lin, Jing Zhang, Xiaojie Cui, Yuebin Wang, Hao Tang, Lorenzo Bruzzone:
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j14]Jianming Hu, Xiyang Zhi, Shikai Jiang, Hao Tang, Wei Zhang, Lorenzo Bruzzone:
Supervised Multi-Scale Attention-Guided Ship Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j13]Lei Ding, Hao Tang, Yahui Liu, Yilei Shi, Xiao Xiang Zhu, Lorenzo Bruzzone:
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images. IEEE Trans. Image Process. 31: 678-690 (2022) - [j12]Jichao Zhang, Jingjing Chen, Hao Tang, Enver Sangineto, Peng Wu, Yan Yan, Nicu Sebe, Wei Wang:
Unsupervised High-Resolution Portrait Gaze Correction and Animation. IEEE Trans. Image Process. 31: 5272-5286 (2022) - [j11]Yue Song, Hao Tang, Mengyi Zhao, Nicu Sebe, Wei Wang:
Quasi-Equilibrium Feature Pyramid Network for Salient Object Detection. IEEE Trans. Image Process. 31: 7144-7153 (2022) - [j10]Hao Tang, Nicu Sebe:
Total Generate: Cycle in Cycle Generative Adversarial Networks for Generating Human Faces, Hands, Bodies, and Natural Scenes. IEEE Trans. Multim. 24: 2963-2974 (2022) - [c48]Haoyu Chen, Hao Tang, Zitong Yu, Nicu Sebe, Guoying Zhao:
Geometry-Contrastive Transformer for Generalized 3D Pose Transfer. AAAI 2022: 258-266 - [c47]Yidi Li, Hong Liu, Hao Tang:
Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking. AAAI 2022: 1456-1463 - [c46]Yitong Xia, Hao Tang, Radu Timofte, Luc Van Gool:
SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene Reconstruction. BMVC 2022: 131 - [c45]Zhenyu Zhang, Yanhao Ge, Ying Tai, Xiaoming Huang, Chengjie Wang, Hao Tang, Dongjin Huang, Zhifeng Xie:
Learning to Restore 3D Face from In-the-Wild Degraded Images. CVPR 2022: 4227-4237 - [c44]Wenhao Li, Hong Liu, Hao Tang, Pichao Wang, Luc Van Gool:
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation. CVPR 2022: 13137-13146 - [c43]Ming Tao, Hao Tang, Fei Wu, Xiaoyuan Jing, Bing-Kun Bao, Changsheng Xu:
DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis. CVPR 2022: 16494-16504 - [c42]Zipeng Xu, Tianwei Lin, Hao Tang, Fu Li, Dongliang He, Nicu Sebe, Radu Timofte, Luc Van Gool, Errui Ding:
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model. CVPR 2022: 18208-18217 - [c41]Zhenyu Zhang, Yanhao Ge, Ying Tai, Weijian Cao, Renwang Chen, Kunlin Liu, Hao Tang, Xiaoming Huang, Chengjie Wang, Zhifeng Xie, Dongjin Huang:
Physically-guided Disentangled Implicit Rendering for 3D Face Modeling. CVPR 2022: 20321-20331 - [c40]Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang:
FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. DAC 2022: 1394-1395 - [c39]Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang:
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. ECCV (19) 2022: 92-111 - [c38]