| 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 | 448* | 2022 |
| 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 | 386 | 2019 |
| 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 | 370 | 2018 |
| 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 | 273 | 2020 |
| 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 | 256 | 2022 |
| 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 | 226 | 2022 |
| 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 | 215 | 2021 |
| 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 | 192* | 2021 |
| 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 | 191* | 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 | 179 | 2020 |
| 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 | 174 | 2020 |
| 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 | 136 | 2019 |
| 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 | 125 | 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 | 125 | 2019 |
| 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 | 110* | 2022 |
| Practical blind denoising via swin-conv-unet and data synthesis K Zhang, Y Li, J Liang, J Cao, Y Zhang, H Tang, R Timofte, L Van Gool arXiv e-prints, arXiv: 2203.13278, 2022 | 93 | 2022 |
| 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 | 92 | 2022 |
| Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation H Tang, D Xu, G Liu, W Wang, N Sebe, Y Yan ACM MM 2019 Oral, code: https://github.com/Ha0Tang/C2GAN, 2019 | 90 | 2019 |
| GestureGAN for Hand Gesture-to-Gesture Translation in the Wild H Tang, W Wang, D Xu, Y Yan, N Sebe ACM MM 2018 Oral, Best Paper Candidate, code: https://github.com/Ha0Tang …, 2018 | 86 | 2018 |
| When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited Data H Tang, H Liu, W Xiao, N Sebe TNNLS 2020, code: https://github.com/Ha0Tang/DDLCN, 2020 | 83 | 2020 |
Nicu SebeUniversity of Trento在 unitn.it 的电子邮件经过验证
