Follow
Li Bo
Li Bo
Other namesBrian Bo Li
PhD Student, NTU, Singapore
Verified email at e.ntu.edu.sg - Homepage
Title
Cited by
Cited by
Year
MIMIC-IT: Multi-modal in-context instruction tuning
B Li, Y Zhang, L Chen, J Wang, F Pu, J Yang, C Li, Z Liu
arXiv preprint arXiv:2306.05425, 2023
2912023
A review of single-source deep unsupervised visual domain adaptation
S Zhao, X Yue, S Zhang, B Li, H Zhao, B Wu, R Krishna, JE Gonzalez, ...
IEEE Transactions on Neural Networks and Learning Systems 33 (2), 473-493, 2020
2242020
Multi-source domain adaptation for semantic segmentation
S Zhao, B Li, X Yue, Y Gu, P Xu, R Hu, H Chai, K Keutzer
NeurIPS 2019, 2019
1752019
Mmbench: Is your multi-modal model an all-around player?
Y Liu, H Duan, Y Zhang, B Li, S Zhang, W Zhao, Y Yuan, J Wang, C He, ...
arXiv preprint arXiv:2307.06281, 2023
1462023
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
J Yang, P Wang, D Zou, Z Zhou, K Ding, W Peng, H Wang, G Chen, B Li, ...
NeurIPS 2022 Datasets and Benchmarks Track, 2022
1232022
Multi-source domain adaptation in the deep learning era: A systematic survey
S Zhao, B Li, P Xu, K Keutzer
arXiv preprint arXiv:2002.12169, 2020
1142020
Self-Supervised Pretraining Improves Self-Supervised Pretraining
CJ Reed, X Yue, A Nrusimha, S Ebrahimi, V Vijaykumar, R Mao, B Li, ...
WACV 2022, 2021
932021
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
B Li, Y Wang, S Zhang, D Li, T Darrell, K Keutzer, H Zhao
CVPR 2021, 2020
882020
Invariant Information Bottleneck for Domain Generalization
B Li, Y Shen, Y Wang, W Zhu, CJ Reed, D Li, K Keutzer, H Zhao
AAAI 2022, 2021
732021
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
S Zhao, Y Wang, B Li, B Wu, Y Gao, P Xu, T Darrell, K Keutzer
AAAI 2021, 2020
642020
Madan: multi-source adversarial domain aggregation network for domain adaptation
S Zhao, B Li, P Xu, X Yue, G Ding, K Keutzer
International Journal of Computer Vision 129 (8), 2399-2424, 2021
532021
Rethinking distributional matching based domain adaptation
B Li, Y Wang, T Che, S Zhang, S Zhao, P Xu, W Zhou, Y Bengio, ...
arXiv preprint arXiv:2006.13352, 2020
522020
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
Y Wang, B Li, T Che, K Zhou, D Li, Z Liu
ICCV 2021, 2021
402021
Sparse Mixture-of-Experts are Domain Generalizable Learners
B Li, J Yang, J Ren, Y Wang, Z Liu
ICLR 2023 (Oral), 2022
272022
Octopus: Embodied vision-language programmer from environmental feedback
J Yang, Y Dong, S Liu, B Li, Z Wang, C Jiang, H Tan, J Kang, Y Zhang, ...
arXiv preprint arXiv:2310.08588, 2023
242023
Domain generalization using pretrained models without fine-tuning
Z Li, K Ren, X Jiang, B Li, H Zhang, D Li
arXiv preprint arXiv:2203.04600, 2022
212022
Panoptic video scene graph generation
J Yang, W Peng, X Li, Z Guo, L Chen, B Li, Z Ma, K Zhou, W Zhang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
162023
Re-vilm: Retrieval-augmented visual language model for zero and few-shot image captioning
Z Yang, W Ping, Z Liu, V Korthikanti, W Nie, DA Huang, L Fan, Z Yu, S Lan, ...
arXiv preprint arXiv:2302.04858, 2023
132023
Language models are visual reasoning coordinators
L Chen, B Li, S Shen, J Yang, C Li, K Keutzer, T Darrell, Z Liu
ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation …, 2023
122023
Large language models are visual reasoning coordinators
L Chen, B Li, S Shen, J Yang, C Li, K Keutzer, T Darrell, Z Liu
Advances in Neural Information Processing Systems 36, 2024
82024
The system can't perform the operation now. Try again later.
Articles 1–20