| Nivolumab in patients with advanced hepatocellular carcinoma (CheckMate 040): an open-label, non-comparative, phase 1/2 dose escalation and expansion trial AB El-Khoueiry, B Sangro, T Yau, TS Crocenzi, M Kudo, C Hsu, TY Kim, ... Lancet 2017, 2017 | 3705 | 2017 |
| Mapping global forest canopy height through integration of GEDI and Landsat data P Potapov, X Li, A Hernandez-Serna, A Tyukavina, MC Hansen, ... RSE 2021, 2021 | 524 | 2021 |
| An unsupervised autoregressive model for speech representation learning YA Chung, WN Hsu, H Tang, J Glass Interspeech 2019, 2019 | 395 | 2019 |
| DF-GAN: Deep Fusion Generative Adversarial Networks 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 | 326* | 2022 |
| 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 | 322 | 2018 |
| 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 | 314 | 2019 |
| 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 | 194 | 2020 |
| 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 | 161 | 2021 |
| 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 | 160 | 2020 |
| 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 | 158* | 2019 |
| 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 | 157 | 2022 |
| 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 | 153* | 2021 |
| XingGAN for Person Image Generation H Tang, S Bai, L Zhang, PHS Torr, N Sebe ECCV 2020, code: https://github.com/Ha0Tang/XingGAN, 2020 | 151 | 2020 |
| Emotion recognition using multimodal residual LSTM network J Ma, H Tang, WL Zheng, BL Lu ACM MM 2019, 2019 | 129 | 2019 |
| Multimodal emotion recognition using deep neural networks H Tang, W Liu, WL Zheng, BL Lu ICONIP 2017, 2017 | 126 | 2017 |
| Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission L Duncanson, JR Kellner, J Armston, R Dubayah, DM Minor, S Hancock, ... RSE 2022, 2022 | 122 | 2022 |
| 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 | 122 | 2019 |
| Multitask learning with low-level auxiliary tasks for encoder-decoder based speech recognition S Toshniwal, H Tang, L Lu, K Livescu arXiv preprint arXiv:1704.01631, 2017 | 122 | 2017 |
| DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis M Tao, H Tang, F Wu, XY Jing, BK Bao, C Xu CVPR 2022 Oral, code: https://github.com/tobran/DF-GAN, 2022 | 117 | 2022 |
| 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 | 107 | 2019 |
