| Agriculture-vision: A large aerial image database for agricultural pattern analysis MT Chiu, X Xu, Y Wei, Z Huang, AG Schwing, R Brunner, H Khachatrian, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 193 | 2020 |
| Versatile diffusion: Text, images and variations all in one diffusion model X Xu, Z Wang, G Zhang, K Wang, H Shi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 100 | 2023 |
| Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models E Zhang, K Wang, X Xu, Z Wang, H Shi arXiv preprint arXiv:2303.17591, 2023 | 76 | 2023 |
| VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution Z Chen, Y Chen, J Liu, X Xu, V Goel, Z Wang, H Shi, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 67 | 2022 |
| UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution X Xu, Z Wang, H Shi arXiv preprint arXiv:2103.12716, 2021 | 60 | 2021 |
| Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach X Xu, Z Zhang, Z Wang, B Price, Z Wang, H Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 55 | 2020 |
| Towards Layer-wise Image Vectorization X Ma, Y Zhou, X Xu, B Sun, V Filev, N Orlov, Y Fu, H Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 41 | 2022 |
| Pair-diffusion: Object-level image editing with structure-and-appearance paired diffusion models V Goel, E Peruzzo, Y Jiang, D Xu, N Sebe, T Darrell, Z Wang, H Shi arXiv preprint arXiv:2303.17546, 2023 | 35 | 2023 |
| The 1st Agriculture-Vision Challenge: Methods and Results MT Chiu, X Xu, K Wang, J Hobbs, N Hovakimyan, TS Huang, H Shi, Y Wei, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 31 | 2020 |
| Prompt-Free Diffusion: Taking" Text" out of Text-to-Image Diffusion Models X Xu, J Guo, Z Wang, G Huang, I Essa, H Shi arXiv preprint arXiv:2305.16223, 2023 | 28 | 2023 |
| Zero-shot Generative Model Adaptation via Image-specific Prompt Learning J Guo, C Wang, Y Wu, E Zhang, K Wang, X Xu, S Song, H Shi, G Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Image Completion with Heterogeneously Filtered Spectral Hints X Xu, S Navasardyan, V Tadevosyan, A Sargsyan, Y Mu, H Shi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 16 | 2023 |
| StyleNAT: Giving Each Head a New Perspective S Walton, A Hassani, X Xu, Z Wang, H Shi arXiv preprint arXiv:2211.05770, 2022 | 14 | 2022 |
| Deep Affinity Net: Instance Segmentation via Affinity X Xu, MT Chiu, TS Huang, H Shi arXiv preprint arXiv:2003.06849, 2020 | 11 | 2020 |
| MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices A Sargsyan, S Navasardyan, X Xu, H Shi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
| Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models J Guo, X Xu, Y Pu, Z Ni, C Wang, M Vasu, S Song, G Huang, H Shi arXiv preprint arXiv:2312.04410, 2023 | 7 | 2023 |
| VASE: Object-Centric Appearance and Shape Manipulation of Real Videos E Peruzzo, V Goel, D Xu, X Xu, Y Jiang, Z Wang, H Shi, N Sebe arXiv preprint arXiv:2401.02473, 2024 | 3 | 2024 |
| Interactive Neural Painting E Peruzzo, W Menapace, V Goel, F Arrigoni, H Tang, X Xu, A Chopikyan, ... Computer Vision and Image Understanding 235, 103778, 2023 | 2 | 2023 |
| Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap D Xu, X Xu, W Cong, H Shi, Z Wang arXiv preprint arXiv:2307.10584, 2023 | 2 | 2023 |
| The 1st Agriculture-Vision Challenge: Methods and Results M Tik Chiu, X Xu, K Wang, J Hobbs, N Hovakimyan, TS Huang, H Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | | 2020 |
Humphrey ShiGeorgia Tech | UIUC, Oregon | Picsart AI Research (PAIR)在 gatech.edu 的电子邮件经过验证
Humphrey ShiGeorgia Tech | UIUC, Oregon | Picsart AI Research (PAIR)在 gatech.edu 的电子邮件经过验证
Zhangyang (Atlas) WangXTX Markets & University of Texas at Austin在 utexas.edu 的电子邮件经过验证