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Boyi Li
Boyi Li
NVIDIA Research, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Aod-net: All-in-one dehazing network
B Li, X Peng, Z Wang, J Xu, D Feng
Proceedings of the IEEE international conference on computer vision (ICCV …, 2017
21052017
Benchmarking single-image dehazing and beyond
B Li, W Ren, D Fu, D Tao, D Feng, W Zeng, Z Wang
IEEE Transactions on Image Processing 28 (1), 492-505, 2019
18692019
Language-driven Semantic Segmentation
B Li, KQ Weinberger, S Belongie, V Koltun, R Ranftl
International Conference on Learning Representations (ICLR), 2022
5852022
An all-in-one network for dehazing and beyond
B Li, X Peng, Z Wang, J Xu, D Feng
Women in Machine Learning Workshop (WiML), 2019
2002019
On Feature Normalization and Data Augmentation
B Li, F Wu, SN Lim, S Belongie, KQ Weinberger
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
1762021
End-to-End United Video Dehazing and Detection
B Li, X Peng, Z Wang, J Xu, D Feng
Proceedings of 32nd AAAI Conference on Artificial Intelligence, 2018
1152018
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
L Lian, B Li, A Yala, T Darrell
Transactions on Machine Learning Research (TMLR), 2024
1132024
Positional Normalization
B Li, F Wu, KQ Weinberger, S Belongie
Advances in Neural Information Processing Systems (NeurIPS), 1622-1634, 2019
1102019
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Z Li, NB Kovachki, C Choy, B Li, J Kossaifi, SP Otta, MA Nabian, M Stadler, ...
Advances in Neural Information Processing Systems (NeurIPS), 2023
61*2023
Fixed Neural Network Steganography: Train the images, not the network
V Kishore, X Chen, Y Wang, B Li, KQ Weinberger
International Conference on Learning Representations (ICLR), 2022
412022
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
J Yang, B Ivanovic, O Litany, X Weng, SW Kim, B Li, T Che, D Xu, S Fidler, ...
International Conference on Learning Representations (ICLR), 2024
312024
LLM-grounded Video Diffusion Models
L Lian, B Shi, A Yala, T Darrell, B Li
International Conference on Learning Representations (ICLR), 2024
272024
Interactive task planning with language models
B Li, P Wu, P Abbeel, J Malik
CoRL Workshop on Language and Robot Learning Language as Grounding, 2023
202023
Self-correcting LLM-controlled Diffusion Models
TH Wu, L Lian, JE Gonzalez, B Li, T Darrell
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
162024
Driving Everywhere with Large Language Model Policy Adaptation
B Li, Y Wang, J Mao, B Ivanovic, S Veer, K Leung, M Pavone
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
112024
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
S Yu, W Nie, DA Huang, B Li, J Shin, A Anandkumar
International Conference on Learning Representations (ICLR), 2024
82024
Language-Image Models with 3D Understanding
JH Cho, B Ivanovic, Y Cao, E Schmerling, Y Wang, X Weng, B Li, Y You, ...
arXiv preprint arXiv:2405.03685, 2024
72024
FastFusionNet: New State-of-the-Art for DAWNBench SQuAD
F Wu, B Li, L Wang, N Lao, J Blitzer, KQ Weinberger
Tech Report, 2019
72019
Integrated Triaging for Fast Reading Comprehension
F Wu, B Li, L Wang, N Lao, J Blitzer, KQ Weinberger
Tech Report, 2019
62019
Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction
B Li, R Corona, K Mangalam, C Chen, D Flaherty, S Belongie, ...
Findings of the Association for Computational Linguistics: NAACL 2024, 1113-1123, 2024
4*2024
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