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Junnan Li
Junnan Li
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Zitiert von
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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
24202022
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
23762023
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
14672021
Dividemix: Learning with noisy labels as semi-supervised learning
J Li, R Socher, SCH Hoi
arXiv preprint arXiv:2002.07394, 2020
10222020
Prototypical contrastive learning of unsupervised representations
J Li, P Zhou, C Xiong, SCH Hoi
arXiv preprint arXiv:2005.04966, 2020
9522020
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
6932024
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
3922019
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
2452021
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
2022023
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
1772020
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
1712022
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
1642019
Unsupervised Learning of View-invariant Action Representations
J Li, Y Wong, Q Zhao, M Kankanhalli
Conference on Neural Information Processing Systems (NeurIPS), 2018
1212018
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
1192019
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
1052024
Mopro: Webly supervised learning with momentum prototypes
J Li, C Xiong, SCH Hoi
arXiv preprint arXiv:2009.07995, 2020
972020
Facial expression recognition using deep neural networks
J Li, EY Lam
2015 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6, 2015
952015
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
862021
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
822017
Lavis: A library for language-vision intelligence
D Li, J Li, H Le, G Wang, S Savarese, SCH Hoi
arXiv preprint arXiv:2209.09019, 2022
752022
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