| Grounding dino: Marrying dino with grounded pre-training for open-set object detection S Liu, Z Zeng, T Ren, F Li, H Zhang, J Yang, C Li, J Yang, H Su, J Zhu, ... The 18th European Conference on Computer Vision ECCV, 2023 | 1588 | 2023 |
| DINO: Detr with improved denoising anchor boxes for end-to-end object detection H Zhang*, F Li*, S Liu*, L Zhang, H Su, J Zhu, LM Ni, HY Shum International Conference on Learning Representations (ICLR), 2023, 2022 | 1574 | 2022 |
| Dab-detr: Dynamic anchor boxes are better queries for detr S Liu, F Li, H Zhang, X Yang, X Qi, H Su, J Zhu, L Zhang International Conference on Learning Representations (ICLR), 2022, 2022 | 893 | 2022 |
| Dn-detr: Accelerate detr training by introducing query denoising F Li*, H Zhang*, S Liu, J Guo, LM Ni, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 798 | 2022 |
| Segment everything everywhere all at once X Zou*, J Yang*, H Zhang*, F Li*, L Li, J Wang, L Wang, J Gao, YJ Lee Advances in Neural Information Processing Systems 36, 2023 | 527 | 2023 |
| Mask dino: Towards a unified transformer-based framework for object detection and segmentation F Li*, H Zhang*, H Xu, S Liu, L Zhang, LM Ni, HY Shum Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 416 | 2023 |
| LLaVA-OneVision: Easy Visual Task Transfer B Li, Y Zhang, D Guo, R Zhang, F Li, H Zhang, K Zhang, Y Li, Z Liu, C Li arXiv preprint arXiv:2408.03326, 2024 | 248 | 2024 |
| Grounded sam: Assembling open-world models for diverse visual tasks T Ren, S Liu, A Zeng, J Lin, K Li, H Cao, J Chen, X Huang, Y Chen, F Yan, ... arXiv preprint arXiv:2401.14159, 2024 | 247 | 2024 |
| Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V J Yang*, H Zhang*, F Li*, X Zou*, C Li, J Gao arXiv preprint arXiv:2310.11441, 2023 | 220 | 2023 |
| Segment and Recognize Anything at Any Granularity F Li, H Zhang, P Sun, X Zou, S Liu, C Li, J Yang, L Zhang, J Gao European Conference on Computer Vision, 467-484, 2025 | 167 | 2025 |
| A Simple Framework for Open-Vocabulary Segmentation and Detection H Zhang*, F Li*, X Zou, S Liu, C Li, J Gao, J Yang, L Zhang International Conference on Computer Vision (ICCV), 2023, 2023 | 160 | 2023 |
| LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models F Li, R Zhang, H Zhang, Y Zhang, B Li, W Li, Z Ma, C Li arXiv preprint arXiv:2407.07895, 2024 | 103 | 2024 |
| LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents S Liu, H Cheng, H Liu, H Zhang, F Li, T Ren, X Zou, J Yang, H Su, J Zhu, ... arXiv preprint arXiv:2311.05437, 2023 | 96 | 2023 |
| Lite DETR: An interleaved multi-scale encoder for efficient detr F Li, A Zeng, S Liu, H Zhang, H Li, L Zhang, LM Ni Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 85 | 2023 |
| MP-Former: Mask-Piloted Transformer for Image Segmentation H Zhang*, F Li*, H Xu, S Huang, S Liu, LM Ni, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 70 | 2023 |
| Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation J Yang, A Zeng, S Liu, F Li, R Zhang, L Zhang International Conference on Learning Representations (ICLR), 2023, 2023 | 69 | 2023 |
| Llava-next: Stronger llms supercharge multimodal capabilities in the wild B Li, K Zhang, H Zhang, D Guo, R Zhang, F Li, Y Zhang, Z Liu, C Li May, 2024 | 53 | 2024 |
| Llava-grounding: Grounded visual chat with large multimodal models H Zhang, H Li, F Li, T Ren, X Zou, S Liu, S Huang, J Gao, L Zhang, C Li, ... arXiv preprint arXiv:2312.02949, 2023 | 51 | 2023 |
| Vision-Language Intelligence: Tasks, Representation Learning, and Large Models F Li*, H Zhang*, YF Zhang, S Liu, J Guo, LM Ni, PC Zhang, L Zhang arXiv preprint arXiv:2203.01922, 2022 | 45 | 2022 |
| Detection Transformer with Stable Matching S Liu, T Ren, J Chen, Z Zeng, H Zhang, F Li, H Li, J Huang, H Su, J Zhu, ... International Conference on Computer Vision (ICCV), 2023, 2023 | 36 | 2023 |
Hao ZhangNVIDIA Researchconnect.ust.hk의 이메일 확인됨