| 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, 4770-4778, 2017 | 1596 | 2017 |
| 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 | 1385 | 2019 |
| Language-driven Semantic Segmentation B Li, KQ Weinberger, S Belongie, V Koltun, R Ranftl International Conference on Learning Representations (ICLR), 2022 | 271* | 2022 |
| 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 | 166 | 2019 |
| 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 | 122 | 2021 |
| 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 | 98 | 2018 |
| Positional Normalization B Li, F Wu, KQ Weinberger, S Belongie Advances in Neural Information Processing Systems, 1622-1634, 2019 | 85 | 2019 |
| LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models L Lian, B Li, A Yala, T Darrell arXiv preprint arXiv:2305.13655, 2023 | 23 | 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, 2022 | 11 | 2022 |
| FastFusionNet: New State-of-the-Art for DAWNBench SQuAD F Wu, B Li, L Wang, N Lao, J Blitzer, KQ Weinberger Tech Report, 2019 | 7 | 2019 |
| Integrated Triaging for Fast Reading Comprehension F Wu, B Li, L Wang, N Lao, J Blitzer, KQ Weinberger Tech Report, 2019 | 6 | 2019 |
| LLM-grounded Video Diffusion Models L Lian, B Shi, A Yala, T Darrell, B Li arXiv preprint arXiv:2309.17444, 2023 | 5 | 2023 |
| Neural Image Recolorization for Creative Domains B Li, S Belongie, S Lim, A Davis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 4 | 2022 |
| 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, ... arXiv preprint arXiv:2309.00583, 2023 | 3 | 2023 |
| WiCV 2020: The Seventh Women In Computer Vision Workshop H Doughty, N Karessli, K Leonard, B Li, C Martinez, A Mobasher, ... Tech Report, 2021 | 3 | 2021 |
| A Vision-free Baseline for Multimodal Grammar Induction B Li, R Corona, K Mangalam, C Chen, D Flaherty, S Belongie, ... arXiv preprint arXiv:2212.10564, 2022 | 2* | 2022 |
| Neural network out-of-distribution detection for regression tasks G Pleiss, A Souza, J Kim, B Li, KQ Weinberger | 1 | 2019 |
| Self-correcting LLM-controlled Diffusion Models TH Wu, L Lian, JE Gonzalez, B Li, T Darrell arXiv preprint arXiv:2311.16090, 2023 | | 2023 |
| From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation J Ge, S Subramanian, T Darrell, B Li arXiv preprint arXiv:2311.12391, 2023 | | 2023 |
| 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, ... arXiv preprint arXiv:2311.02077, 2023 | | 2023 |
