フォロー
Hao Tang
Hao Tang
Peking University | CMU | ETH Zurich | University of Oxford | University of Trento | IIAI
確認したメール アドレス: pku.edu.cn - ホームページ
タイトル
引用先
引用先
年
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
H Tang, D Xu, N Sebe, Y Wang, JJ Corso, Y Yan
CVPR 2019 Oral, code: https://github.com/Ha0Tang/SelectionGAN, 2019
4322019
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation
D Xu, W Wang, H Tang, H Liu, N Sebe, E Ricci
CVPR 2018 Spotlight, code: https://github.com/danxuhk …, 2018
3942018
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
W Li, H Liu, H Tang, P Wang, L Van Gool
CVPR 2022, code: https://github.com/Vegetebird/MHFormer, 2022
3712022
LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images
L Ding, H Tang, L Bruzzone
TGRS 2020, code: https://github.com/ggsDing/LANet, 2020
3312020
DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis
M Tao, H Tang, F Wu, X Jing, B Bao, C Xu
CVPR 2022 Oral, code: https://github.com/tobran/DF-GAN, 2022
3212022
AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks
H Tang, H Liu, D Xu, PHS Torr, N Sebe
TNNLS 2021, code: https://github.com/Ha0Tang/AttentionGAN, 2021
2702021
DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis
M Tao, H Tang, S Wu, N Sebe, XY Jing, F Wu, B Bao
CVPR 2022 Oral, code: https://github.com/tobran/DF-GAN, 2020
2422020
The GEDI simulator: A large‐footprint waveform lidar simulator for calibration and validation of spaceborne missions
S Hancock, J Armston, M Hofton, X Sun, H Tang, LI Duncanson, ...
Earth and Space Science 6 (2), 294-310, 2019
2412019
Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction
G Yang, H Tang, M Ding, N Sebe, E Ricci
ICCV 2021, code: https://github.com/ygjwd12345/TransDepth, 2021
2212021
GazeCorrection: Self-Guided Eye Manipulation in the wild using Self-Supervised Generative Adversarial Networks
J Zhang, M Sun, J Chen, H Tang, Y Yan, X Qin, N Sebe
arXiv preprint arXiv:1906.00805, 2019
208*2019
XingGAN for Person Image Generation
H Tang, S Bai, L Zhang, PHS Torr, N Sebe
ECCV 2020, code: https://github.com/Ha0Tang/XingGAN, 2020
2032020
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning
Z Kong, P Dong, X Ma, X Meng, W Niu, M Sun, X Shen, G Yuan, B Ren, ...
ECCV 2022, code: https://github.com/PeiyanFlying/SPViT, 2022
1982022
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
H Tang, D Xu, Y Yan, PHS Torr, N Sebe
CVPR 2020, code: https://github.com/Ha0Tang/LGGAN, 2020
1892020
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation
H Tang, D Xu, N Sebe, Y Yan
IJCNN 2019 Oral, code: https://github.com/Ha0Tang/AttentionGAN, 2019
1612019
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
M Tao, BK Bao, H Tang, C Xu
CVPR 2023, code: https://github.com/tobran/GALIP, 2023
1512023
AO2-DETR: Arbitrary-Oriented Object Detection Transformer
L Dai, H Liu, H Tang, Z Wu, P Song
TCSVT 2022, code: https://github.com/Ixiaohuihuihui/AO2-DETR, 2022
1462022
Looking Outside The Window: Wide-context Transformer for The Semantic Segmentation of High-resolution Remote Sensing Images
L Ding, D Lin, S Lin, J Zhang, X Cui, Y Wang, H Tang, L Bruzzone
TGRS 2022, code: https://github.com/ggsDing/WiCoNet, 2022
140*2022
GEDI launches a new era of biomass inference from space
R Dubayah, J Armston, SP Healey, JM Bruening, PL Patterson, JR Kellner, ...
Environmental Research Letters 17 (9), 095001, 2022
1392022
Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
H Tang, H Liu, W Xiao, N Sebe
Neurocomputing 2019, code: https://github.com/Ha0Tang/HandGestureRecognition, 2019
1392019
Characterizing global forest canopy cover distribution using spaceborne lidar
H Tang, J Armston, S Hancock, S Marselis, S Goetz, R Dubayah
Remote Sensing of Environment 231, 111262, 2019
1222019
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