| Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using diffusion models W Wu, Y Zhao, MZ Shou, H Zhou, C Shen ICCV 2023, 2023 | 174 | 2023 |
| Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models Y Gu, X Wang, JZ Wu, Y Shi, Y Chen, Z Fan, W Xiao, R Zhao, S Chang, ... NeurIPS 2023, 2023 | 158 | 2023 |
| DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models W Wu, Y Zhao, H Chen, Y Gu, R Zhao, Y He, H Zhou, MZ Shou, C Shen NeurIPS 2023, 2023 | 108 | 2023 |
| Motiondirector: Motion customization of text-to-video diffusion models R Zhao, Y Gu, JZ Wu, DJ Zhang, J Liu, W Wu, J Keppo, MZ Shou ECCV 2024 (Oral), 2023 | 98 | 2023 |
| PTQD: Accurate Post-Training Quantization for Diffusion Models Y He, L Liu, J Liu, W Wu, H Zhou, B Zhuang NeurIPS 2023, 2023 | 96 | 2023 |
| DragAnything: Motion Control for Anything using Entity Representation W Wu, Z Li, Y Gu, R Zhao, Y He, DJ Zhang, MZ Shou, Y Li, T Gao, ... ECCV 2024, 2024 | 41 | 2024 |
| Bivit: Extremely compressed binary vision transformer Y He, Z Lou, L Zhang, W Wu, B Zhuang, H Zhou ICCV 2023, 2022 | 41 | 2022 |
| Efficientdm: Efficient quantization-aware fine-tuning of low-bit diffusion models Y He, J Liu, W Wu, H Zhou, B Zhuang ICLR 2024 spotlight, 2023 | 39 | 2023 |
| Efficientclip: Efficient cross-modal pre-training by ensemble confident learning and language modeling J Wang, H Wang, J Deng, W Wu, D Zhang Workshop, ICML 2022, 2021 | 37 | 2021 |
| A bilingual, OpenWorld video text dataset and end-to-end video text spotter with transformer W Wu, Y Cai, D Zhang, S Wang, Z Li, J Li, Y Tang, H Zhou NeurIPS 2021, 2021 | 34 | 2021 |
| Generative Prompt Model for Weakly Supervised Object Localization Y Zhao, Q Ye, W Wu, C Shen, F Wan ICCV 2023, 2023 | 32 | 2023 |
| End-to-end video text spotting with transformer W Wu, Y Cai, C Shen, D Zhang, Y Fu, H Zhou, P Luo International Journal of Computer Vision (IJCV), 2022 | 26 | 2022 |
| Synthetic-to-real unsupervised domain adaptation for scene text detection in the wild W Wu, N Lu, E Xie, Y Wang, W Yu, C Yang, H Zhou ACCV 2020, 2020 | 26 | 2020 |
| A large cross-modal video retrieval dataset with reading comprehension W Wu, Y Zhao, Z Li, J Li, H Zhou, MZ Shou, X Bai Pattern Recognition 157, 110818, 2025 | 21 | 2025 |
| ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification Y He, L Zhang, W Wu, J Liu, H Zhou, B Zhuang NeurIPS 2024, 2024 | 20 | 2024 |
| Paragraph-to-image generation with information-enriched diffusion model W Wu, Z Li, Y He, MZ Shou, C Shen, L Cheng, Y Li, T Gao, D Zhang, ... International Journal of Computer Vision (IJCV), 2023 | 20 | 2023 |
| Explore faster localization learning for scene text detection Y Zhao, Y Cai, W Wu, W Wang ICME 2023, 156-161, 2023 | 20 | 2023 |
| Texts as lines: text detection with weak supervision W Wu, J Xing, C Yang, Y Wang, H Zhou Mathematical Problems in Engineering 2020 (1), 3871897, 2020 | 18 | 2020 |
| Continual Learning for Image Segmentation with Dynamic Query W Wu, Y Zhao, Z Li, L Shan, H Zhou, MZ Shou TCSVT 2023, 2023 | 16 | 2023 |
| Flowtext: Synthesizing realistic scene text video with optical flow estimation Y Zhao, W Wu, Z Li, J Li, W Wang ICME 2023, 1517-1522, 2023 | 14 | 2023 |
Mike Z. SHOUNational U. of Singapore; Facebook AI; Columbia UniversityVerified email at columbia.edu
