Παρακολούθηση
Feng Li
Feng Li
PhD student, Hong Kong University of Science and Technology
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα connect.ust.hk - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
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
7402022
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, ...
arXiv preprint arXiv:2303.05499, 2023
5422023
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
4822022
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
4252022
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
2292023
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
2162023
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
672023
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
arXiv preprint arXiv:2307.04767, 2023
652023
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
492023
Dino: Detr with improved denoising anchor boxes for end-to-end object detection. arXiv 2022
H Zhang, F Li, S Liu, L Zhang, H Su, J Zhu, LM Ni, HY Shum
arXiv preprint arXiv:2203.03605, 2022
412022
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
372023
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
302022
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
292023
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
262023
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
252023
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
182024
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
142023
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
Association for the Advancement of Artificial Intelligence (AAAI), 2023, 2022
102022
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
72023
Neural interactive keypoint detection
J Yang, A Zeng, F Li, S Liu, R Zhang, L Zhang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
72023
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