| Learning similarity conditions without explicit supervision R Tan, MI Vasileva, K Saenko, BA Plummer Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 109 | 2019 |
| Logan: Latent graph co-attention network for weakly-supervised video moment retrieval R Tan, H Xu, K Saenko, BA Plummer Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 92 | 2021 |
| Detecting cross-modal inconsistency to defend against neural fake news R Tan, BA Plummer, K Saenko Empirical Methods in Natural Language Processing (EMNLP) 2020, 2081–2106, 2020 | 77 | 2020 |
| Language features matter: Effective language representations for vision-language tasks A Burns, R Tan, K Saenko, S Sclaroff, BA Plummer Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 36 | 2019 |
| Look at what i’m doing: Self-supervised spatial grounding of narrations in instructional videos R Tan, B Plummer, K Saenko, H Jin, B Russell Advances in Neural Information Processing Systems 34, 14476-14487, 2021 | 23 | 2021 |
| wman: Weakly-supervised moment alignment network for text-based video segment retrieval R Tan, H Xu, K Saenko, BA Plummer | 18 | 2019 |
| Koala: Key frame-conditioned long video-LLM R Tan, X Sun, P Hu, J Wang, H Deilamsalehy, BA Plummer, B Russell, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 17 | 2024 |
| Language-Guided Audio-Visual Source Separation via Trimodal Consistency R Tan, A Ray, A Burns, BA Plummer, J Salamon, O Nieto, B Russell, ... The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2023 | 16 | 2023 |
| Latent action pretraining from videos S Ye, J Jang, B Jeon, S Joo, J Yang, B Peng, A Mandlekar, R Tan, ... arXiv preprint arXiv:2410.11758, 2024 | 8 | 2024 |
| NewsStories: Illustrating articles with visual summaries R Tan, BA Plummer, K Saenko, JP Lewis, A Sud, T Leung European Conference on Computer Vision 2022 (Springer, Cham), 644-661, 2022 | 7 | 2022 |
| Temporalbench: Benchmarking fine-grained temporal understanding for multimodal video models M Cai, R Tan, J Zhang, B Zou, K Zhang, F Yao, F Zhu, J Gu, Y Zhong, ... arXiv preprint arXiv:2410.10818, 2024 | 6 | 2024 |
| Multiscale video pretraining for long-term activity forecasting R Tan, M De Lange, M Iuzzolino, BA Plummer, K Saenko, K Ridgeway, ... arXiv preprint arXiv:2307.12854, 2023 | 6 | 2023 |
| Temporalbench: Towards fine-grained temporal understanding for multimodal video models M Cai, R Tan, J Zhang, B Zou, K Zhang, F Yao, F Zhu, J Gu, Y Zhong, ... | 3 | 2024 |
| Socratis: Are large multimodal models emotionally aware? K Deng, A Ray, R Tan, S Gabriel, BA Plummer, K Saenko ICCV 2023 Wecia, 2023 | 3 | 2023 |
| EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video M De Lange, H Eghbalzadeh, R Tan, M Iuzzolino, F Meier, K Ridgeway arXiv preprint arXiv:2307.05784, 2023 | 2 | 2023 |
| SAT: Spatial Aptitude Training for Multimodal Language Models A Ray, J Duan, R Tan, D Bashkirova, R Hendrix, K Ehsani, A Kembhavi, ... arXiv preprint arXiv:2412.07755, 2024 | | 2024 |
| Localization Of Narrations In Image Data H Jin, B Russell, RXH Tan US Patent App. 17/499,193, 2023 | | 2023 |
| WMAN: WEAKLY-SUPERVISED MOMENT ALIGNMENT NETWORK FOR TEXT-BASED VIDEO SEGMENT RE R Tan, H Xu, K Saenko, BA Plummer arXiv preprint arXiv:1909.13784, 2019 | | 2019 |
| Analytic system for measuring bat speed R Tan | | 2018 |
| R2D3: Imparting Spatial Reasoning by Reconstructing 3D Scenes from 2D Images A Ray, D Bashkirova, R Tan, KH Zeng, BA Plummer, R Krishna, K Saenko | | |
Kate SaenkoBoston UniversityVerified email at bu.edu
