| Part-aware Prototype Network for Few-shot Semantic Segmentation Y Liu, X Zhang, S Zhang, X He ECCV-2020, 2020 | 369 | 2020 |
| Pose-aware multi-level feature network for human object interaction detection B Wan, D Zhou, Y Liu, R Li, X He ICCV2019, 9469-9478, 2019 | 260 | 2019 |
| Learning Cross-modal Context Graph for Visual Grounding Y Liu, B Wan, X Zhu, X He AAAI-2020, 2020 | 88 | 2020 |
| Relation-aware Instance Refinement for Weakly Supervised Visual Grounding Y Liu, B Wan, L Ma, X He CVPR2021, 2021 | 60 | 2021 |
| Vl-interpret: An interactive visualization tool for interpreting vision-language transformers E Aflalo, M Du, SY Tseng, Y Liu, C Wu, N Duan, V Lal Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2022 | 50 | 2022 |
| Kd-vlp: Improving end-to-end vision-and-language pretraining with object knowledge distillation Y Liu, C Wu, S Tseng, V Lal, X He, N Duan arXiv preprint arXiv:2109.10504, 2021 | 25 | 2021 |
| Exploring the reasoning abilities of multimodal large language models (mllms): A comprehensive survey on emerging trends in multimodal reasoning Y Wang, W Chen, X Han, X Lin, H Zhao, Y Liu, B Zhai, J Yuan, Q You, ... arXiv preprint arXiv:2401.06805, 2024 | 23 | 2024 |
| GEM: A General Evaluation Benchmark for Multimodal Tasks L Su, N Duan, E Cui, L Ji, C Wu, H Luo, Y Liu, M Zhong, T Bharti, ... ACL2021 Findings, 2021 | 16 | 2021 |
| Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning B Wan*, Y Liu*, D Zhou, T Tuytelaars, X He ICLR 2023, 2023 | 14 | 2023 |
| Intention-aware feature propagation network for interactive segmentation C Zhang, C Hu, Y Liu, X He BMVC2023, 2022 | 9* | 2022 |
| Reason out your layout: Evoking the layout master from large language models for text-to-image synthesis X Chen, Y Liu, Y Yang, J Yuan, Q You, LP Liu, H Yang arXiv preprint arXiv:2311.17126, 2023 | 8 | 2023 |
| Grounded Image Text Matching with Mismatched Relation Reasoning Y Wu, Y Wei, H Wang, Y Liu, S Yang, X He ICCV2023, 2023 | 6 | 2023 |
| ViTAR: Vision Transformer with Any Resolution Q Fan, Q You, X Han, Y Liu, Y Tao, H Huang, R He, H Yang arXiv preprint arXiv:2403.18361, 2024 | 3 | 2024 |
| Improving in-context learning in diffusion models with visual context-modulated prompts T Chen, Y Liu, Z Wang, J Yuan, Q You, H Yang, M Zhou arXiv preprint arXiv:2312.01408, 2023 | 3 | 2023 |
| Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model H Liu, Q You, X Han, Y Liu, H Huang, R He, H Yang arXiv preprint arXiv:2405.17815, 2024 | 1 | 2024 |
| InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding H Liu, Q You, X Han, Y Wang, B Zhai, Y Liu, Y Tao, H Huang, R He, ... arXiv preprint arXiv:2403.01487, 2024 | | 2024 |
| CORE-MM: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models X Han, Q You, Y Liu, W Chen, H Zheng, K Mrini, X Lin, Y Wang, B Zhai, ... arXiv preprint arXiv:2311.11567, 2023 | | 2023 |
| HOICLIP: Efficient Knowledge Transfer for HOI Detection with Visual Linguistic Model Shan Ning, Longtian Qiu, Yongfei Liu, Xuming He CVPR2023, 2023 | | 2023 |
| ViTAR: Vision Transformer with Any Resolution | | |
Xuming HeShanghaiTech UniversityПотвърден имейл адрес: shanghaitech.edu.cn
