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L. Lian*, B. Shi*, A. Yala†, T. Darrell†, B. Li†
LLM-grounded Video Diffusion Models ⭐️
International Conference on Learning Representations (ICLR), 2024
Paper · Project Webpage · Code
T. Wu*, L. Lian*, J. Gonzalez, B. Li† , T. Darrell†
Self-correcting LLM-controlled Diffusion Models
Arxiv, 2023
Paper · Project Webpage · Code
B. Li*, P. Wu*, P. Abbeel, J. Malik
Interactive Task Planning with Language Models ⭐️
Workshop on Language and Robot Learning Language as Grounding at CoRL, 2023
Paper · Project Webpage · Code · Video
J. Ge, S. Subramanian, T. Darrell†, B. Li†
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
L. Lian, B. Li, A. Yala, T. Darrell
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
Workshop on Knowledge and Logical Reasoning in the Era of Data-driven Learning at ICML, 2023
Paper · Project Webpage · Code · BAIR Blog · Hugging Face Demo
B. Li*, R. Corona*, K. Mangalam*, C. Chen, D. Flaherty, S. Belongie, K. Weinberger, J. Malik, T. Darrell, D. Klein
A Vision-free Baseline for Multimodal Grammar Induction
Arxiv, 2023
B. Li, K. Weinberger, S. Belongie, V. Koltun, R. Ranftl
Language-driven Semantic Segmentation ⭐️
International Conference on Learning Representations (ICLR), 2022
Paper · Project Webpage · Code · Demo
B. Li, S. Belongie, S. Lim, A. Davis
Neural Image Recolorization for Creative Domains
5th Workshop on Computer Vision for Fashion, Art, and Design at CVPR, 2022, Oral
B. Li*, F. Wu*, S. Lim, S. Belongie, K. Weinberger
On Feature Normalization and Data Augmentation
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Paper · Project Webpage · Code · Video
B. Li*, F. Wu*, K. Weinberger, S. Belongie
Positional Normalization
Neural Information Processing Systems (NeurIPS), 2019, Spotlight
Paper · Project Webpage · Code · Video
B. Li*, W. Ren*, D. Fu*, D. Tao, D. Feng, W. Zeng, Z. Wang
Benchmarking Single Image Dehazing and Beyond
IEEE Transactions on Image Processing (TIP), 2019
B. Li, X. Peng, Z. Wang, J. Xu, D. Feng
An All-in-One Network for Dehazing and Beyond
Women in Machine Learning Workshop (WiML), 2019
B. Li, X. Peng, Z. Wang, J. Xu, D. Feng
End-to-End United Video Dehazing and Detection
Proceedings of 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018, Oral
Paper · Project Webpage · Code · Video
Short Version Appears in CVPR 2019 WiCV workshop
B. Li, X. Peng, Z. Wang, J. Xu, D. Feng
AOD-Net: All-in-One Dehazing Network
Proceedings of 18th IEEE International Conference on Computer Vision (ICCV), 2017
Paper · Project Webpage · Code · Video
Short Version Appears in CVPR 2017 WiCV workshop: End-to-end Dehazing Neural Network
Tech Report
Tech Report
A. Goel, N. Kalavakonda, N. Karessli, T. Kasarla, K. Leonard, B. Li, N. Samet and, G. Zamzmi
WiCV 2021: The Eighth Women In Computer Vision Workshop
Tech Report, 2022
H. Doughty, N. Karessli, K. Leonard, B. Li, C. Martinez, A. Mobasher, A. Nagrani, S. Yadav
WiCV 2020: The Seventh Women In Computer Vision Workshop
Tech Report, 2021
F. Wu, B. Li, L. Wang, N. Lao, J. Blitzer, K. Weinberger
Integrated Triaging for Fast Reading Comprehension
Tech Report, 2019
Project Webpage · arXiv · Code
F. Wu, B. Li, L. Wang, N. Lao, J. Blitzer, K. Weinberger
FastFusionNet: New State-of-the-Art for DAWNBench SQuAD
Tech Report, 2019
Project Webpage · arXiv · Code
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