| 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 | 1364 | 2022 |
| 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, ... ECCV 2024, 2023 | 1341 | 2023 |
| 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 | 784 | 2022 |
| DN-DETR: Accelerate DETR Training by Introducing Query Denoising F Li*, H Zhang*, S Liu, J Guo, LM Ni, L Zhang The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR …, 2022 | 699 | 2022 |
| Segment everything everywhere all at once X Zou*, J Yang*, H Zhang*, F Li*, L Li, J Gao, YJ Lee NeurIPS 2023, 2023 | 448 | 2023 |
| Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation F Li*, H Zhang*, S Liu, L Zhang, LM Ni, HY Shum The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2023, 2022 | 359 | 2022 |
| 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 | 176 | 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 | 168 | 2023 |
| Semantic-SAM: Segment and Recognize Anything at Any Granularity F Li*, H Zhang*, P Sun, X Zou, S Liu, J Yang, C Li, L Zhang, J Gao ECCV 2024, 2023 | 142 | 2023 |
| 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 ICCV 2023, 2023 | 137 | 2023 |
| Llava-onevision: Easy visual task transfer B Li, Y Zhang, D Guo, R Zhang, F Li, H Zhang, K Zhang, P Zhang, Y Li, ... arXiv preprint arXiv:2408.03326, 2024 | 100 | 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, ... ECCV 2024, 2023 | 83 | 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 CVPR 2023, 2023 | 67 | 2023 |
| MP-Former: Mask-Piloted Transformer for Image Segmentation H Zhang, F Li, H Xu, S Huang, S Liu, LM Ni, L Zhang The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2023, 2023 | 59 | 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 | 55 | 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, ... ECCV 2024, 2023 | 42 | 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 | 42 | 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, ... ICCV 2023, 2023 | 31 | 2023 |
| Visual In-Context Prompting F Li, Q Jiang, H Zhang, T Ren, S Liu, X Zou, H Xu, H Li, C Li, J Yang, ... CVPR 2024, 2023 | 22 | 2023 |
| DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding S Liu, Y Liang, F Li, S Huang, H Zhang, H Su, J Zhu, L Zhang AAAI 2023, 2022 | 18 | 2022 |
Feng LiPhD student, Hong Kong University of Science and Technology確認したメール アドレス: connect.ust.hk
