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CUHK
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Title
Cited by
Cited by
Year
Prototype mixture models for few-shot semantic segmentation
B Yang, C Liu, B Li, J Jiao, Q Ye
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
3342020
Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection
B Li, B Yang, C Liu, F Liu, R Ji, Q Ye
IEEE Conference on Computer Vision and Pattern Recognition, 2021
1492021
Seed-bench: Benchmarking multimodal llms with generative comprehension
B Li, R Wang, G Wang, Y Ge, Y Ge, Y Shan
arXiv preprint arXiv:2307.16125, 2023
1242023
Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners
R Zhang, X Hu, B Li, S Huang, H Deng, Y Qiao, P Gao, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
852023
Part-based semantic transform for few-shot semantic segmentation
B Yang, F Wan, C Liu, B Li, X Ji, Q Ye
IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7141-7152, 2021
292021
Seed-bench-2: Benchmarking multimodal large language models
B Li, Y Ge, Y Ge, G Wang, R Wang, R Zhang, Y Shan
arXiv preprint arXiv:2311.17092, 2023
112023
Collaboration of pre-trained models makes better few-shot learner
R Zhang, B Li, W Zhang, H Dong, H Li, P Gao, Y Qiao
arXiv preprint arXiv:2209.12255, 2022
72022
EgoPlan-Bench: Benchmarking Egocentric Embodied Planning with Multimodal Large Language Models
Y Chen, Y Ge, Y Ge, M Ding, B Li, R Wang, R Xu, Y Shan, X Liu
arXiv preprint arXiv:2312.06722, 2023
52023
Proposal distribution calibration for few-shot object detection
B Li, C Liu, M Shi, X Chen, X Ji, Q Ye
IEEE Transactions on Neural Networks and Learning Systems, 2023
22023
SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension
B Li, Y Ge, Y Chen, Y Ge, R Zhang, Y Shan
arXiv preprint arXiv:2404.16790, 2024
2024
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