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Junnan Li
Junnan Li
未知所在单位机构
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引用次数
引用次数
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Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
J Li, D Li, C Xiong, S Hoi
International conference on machine learning, 12888-12900, 2022
18242022
Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
J Li, D Li, S Savarese, S Hoi
International conference on machine learning, 19730-19742, 2023
16262023
Align before fuse: Vision and language representation learning with momentum distillation
J Li, R Selvaraju, A Gotmare, S Joty, C Xiong, SCH Hoi
Advances in neural information processing systems 34, 9694-9705, 2021
12192021
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
SH Wenliang Dai, Junnan Li, Dongxu Li, Anthony Tiong, Junqi Zhao, Weisheng ...
arXiv preprint arXiv:2305.06500, 2023
1116*2023
Dividemix: Learning with noisy labels as semi-supervised learning
J Li, R Socher, SCH Hoi
arXiv preprint arXiv:2002.07394, 2020
9282020
Prototypical contrastive learning of unsupervised representations
J Li, P Zhou, C Xiong, SCH Hoi
arXiv preprint arXiv:2005.04966, 2020
8722020
Instructblip: Towards general-purpose vision-language models with instruction tuning
W Dai, J Li, D Li, AMH Tiong, J Zhao, W Wang, B Li, PN Fung, S Hoi
Advances in Neural Information Processing Systems 36, 2024
4492024
Learning to Learn from Noisy Labeled Data
J Li, Y Wong, Q Zhao, MS Kankanhalli
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
3772019
Comatch: Semi-supervised learning with contrastive graph regularization
J Li, C Xiong, SCH Hoi
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
2122021
The devil is in classification: A simple framework for long-tail instance segmentation
T Wang, Y Li, B Kang, J Li, J Liew, S Tang, S Hoi, J Feng
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1652020
Learning to detect human-object interactions with knowledge
B Xu, Y Wong, J Li, Q Zhao, MS Kankanhalli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1612019
Align and prompt: Video-and-language pre-training with entity prompts
D Li, J Li, H Li, JC Niebles, SCH Hoi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1512022
Codet5+: Open code large language models for code understanding and generation
Y Wang, H Le, AD Gotmare, NDQ Bui, J Li, SCH Hoi
arXiv preprint arXiv:2305.07922, 2023
1292023
Unsupervised Learning of View-invariant Action Representations
J Li, Y Wong, Q Zhao, M Kankanhalli
Conference on Neural Information Processing Systems (NeurIPS), 2018
1142018
Interact as you intend: Intention-driven human-object interaction detection
B Xu, J Li, Y Wong, Q Zhao, MS Kankanhalli
IEEE Transactions on Multimedia 22 (6), 1423-1432, 2019
1122019
Facial expression recognition using deep neural networks
J Li, EY Lam
2015 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6, 2015
922015
Mopro: Webly supervised learning with momentum prototypes
J Li, C Xiong, SCH Hoi
arXiv preprint arXiv:2009.07995, 2020
902020
Dual-Glance Model for Deciphering Social Relationships
J Li, Y Wong, Q Zhao, MS Kankanhalli
The IEEE International Conference on Computer Vision (ICCV), 2650-2659, 2017
802017
Learning from noisy data with robust representation learning
J Li, C Xiong, SCH Hoi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
722021
Blip-diffusion: Pre-trained subject representation for controllable text-to-image generation and editing
D Li, J Li, S Hoi
Advances in Neural Information Processing Systems 36, 2024
692024
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