| Grounded language-image pre-training LH Li*, P Zhang*, H Zhang*, J Yang, C Li, Y Zhong, L Wang, L Yuan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 1180 | 2022 |
| Glipv2: Unifying localization and vision-language understanding H Zhang*, P Zhang*, X Hu, YC Chen, LH Li, X Dai, L Wang, L Yuan, ... NeurIPS, 2022 | 308 | 2022 |
| Ferret: Refer and ground anything anywhere at any granularity H You*, H Zhang*, Z Gan, X Du, B Zhang, Z Wang, L Cao, SF Chang, ... ICLR, 2023 | 256 | 2023 |
| Simple applications of BERT for ad hoc document retrieval W Yang, H Zhang, J Lin arXiv preprint arXiv:1903.10972, 2019 | 242 | 2019 |
| Exploit the connectivity: Multi-object tracking with trackletnet G Wang, Y Wang, H Zhang, R Gu, JN Hwang Proceedings of the 27th ACM international conference on multimedia, 482-490, 2019 | 239 | 2019 |
| Transmvsnet: Global context-aware multi-view stereo network with transformers Y Ding, W Yuan, Q Zhu, H Zhang, X Liu, Y Wang, X Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 215 | 2022 |
| MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training B McKinzie*, Z Gan*, JP Fauconnier, S Dodge, B Zhang, P Dufter, D Shah, ... ECCV, 2024 | 208 | 2024 |
| An internal learning approach to video inpainting H Zhang, L Mai, N Xu, Z Wang, J Collomosse, H Jin Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 97 | 2019 |
| Eye in the sky: Drone-based object tracking and 3d localization H Zhang, G Wang, Z Lei, JN Hwang Proceedings of the 27th ACM international conference on multimedia, 899-907, 2019 | 92 | 2019 |
| Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs K You, H Zhang, E Schoop, F Weers, A Swearngin, J Nichols, Y Yang, ... ECCV, 2024 | 80 | 2024 |
| Visdrone-mot2019: The vision meets drone multiple object tracking challenge results L Wen, P Zhu, D Du, X Bian, H Ling, Q Hu, J Zheng, T Peng, X Wang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 63 | 2019 |
| VisDrone-SOT2019: The vision meets drone single object tracking challenge results D Du, P Zhu, L Wen, X Bian, H Ling, Q Hu, J Zheng, T Peng, X Wang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 61 | 2019 |
| Apple intelligence foundation language models T Gunter, Z Wang, C Wang, R Pang, A Narayanan, A Zhang, B Zhang, ... arXiv preprint arXiv:2407.21075, 2024 | 40 | 2024 |
| Ferret-v2: An improved baseline for referring and grounding with large language models H Zhang COLM, 2024 | 29* | 2024 |
| How easy is it to fool your multimodal llms? an empirical analysis on deceptive prompts Y Qian, H Zhang, Y Yang, Z Gan arXiv preprint arXiv:2402.13220 2 (7), 2024 | 28 | 2024 |
| From scarcity to efficiency: Improving clip training via visual-enriched captions Z Lai*, H Zhang*, W Wu, H Bai, A Timofeev, X Du, Z Gan, J Shan, ... ECCV2024, 2023 | 27 | 2023 |
| Bundle adjustment for monocular visual odometry based on detections of traffic signs Y Zhang, H Zhang, G Wang, J Yang, JN Hwang IEEE transactions on vehicular technology 69 (1), 151-162, 2019 | 21 | 2019 |
| From scarcity to efficiency: Improving clip training via visual-enriched captions Z Lai*, H Zhang*, B Zhang, W Wu, H Bai, A Timofeev, X Du, Z Gan, J Shan, ... European Conference on Computer Vision, 111-127, 2025 | 20* | 2025 |
| Empowering unsupervised domain adaptation with large-scale pre-trained vision-language models Z Lai, H Bai, H Zhang, X Du, J Shan, Y Yang, CN Chuah, M Cao Proceedings of the ieee/cvf winter conference on applications of computer …, 2024 | 18 | 2024 |
| MM1. 5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning H Zhang*, M Gao*, Z Gan*, P Dufter, N Wenzel, F Huang, D Shah, X Du, ... ICLR2025, 2024 | 17 | 2024 |
Jenq-Neng HwangUniversity of WashingtonOverená e-mailová adresa na: u.washington.edu
