| Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning CJ Reed, R Gupta, S Li, S Brockman, C Funk, B Clipp, K Keutzer, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 148 | 2023 |
| Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data S Li, H Singh, A Grover European Conference on Computer Vision (ECCV) 2024, 2024 | 53 | 2024 |
| Hierarchical open-vocabulary universal image segmentation X Wang, S Li, K Kallidromitis, Y Kato, K Kozuka, T Darrell Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023 | 38 | 2023 |
| InstructAny2Pix: Flexible Visual Editing via Multimodal Instruction Following S Li, H Singh, A Grover Findings of the Association for Computational Linguistics: NAACL 2025, 2023 | 11 | 2023 |
| Refine and represent: Region-to-object representation learning A Gokul, K Kallidromitis, S Li, Y Kato, K Kozuka, T Darrell, CJ Reed arXiv preprint arXiv:2208.11821, 2022 | 8 | 2022 |
| Aligning Diffusion Models by Optimizing Human Utility S Li, K Kallidromitis, A Gokul, Y Kato, K Kozuka Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS 2024), 2024 | 7 | 2024 |
| xT: Nested Tokenization for Larger Context in Large Images R Gupta, S Li, T Zhu, J Malik, T Darrell, K Mangalam Forty-first International Conference on Machine Learning., 2024 | 3 | 2024 |
| OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows S Li, K Kallidromitis, A Gokul, Z Liao, Y Kato, K Kozuka, A Grover arXiv preprint arXiv:2412.01169, 2024 | 1 | 2024 |
| SegLLM: Multi-round Reasoning Segmentation XD Wang, S Zhang, S Li, K Kallidromitis, K Li, Y Kato, K Kozuka, T Darrell arXiv preprint arXiv:2410.18923, 2024 | 1 | 2024 |
| PopAlign: Population-Level Alignment for Fair Text-to-Image Generation S Li, H Singh, A Grover Safe Generative AI Workshop @ NeurIPS 2024, 2024 | 1 | 2024 |
| MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants H Bansal, D Israel, S Zhao, S Li, T Nguyen, A Grover arXiv preprint arXiv:2412.12661, 2024 | | 2024 |
| Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory EH Jiang, Y Zhang, Z Zhang, Y Wan, A Lizarraga, S Li, YN Wu arXiv preprint arXiv:2411.17472, 2024 | | 2024 |
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyE-mailová adresa ověřena na: eecs.berkeley.edu