| Nerv: Neural representations for videos H Chen, B He, H Wang, Y Ren, SN Lim, A Shrivastava NeurIPS 2021, 2021 | 243 | 2021 |
| ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization B He, X Yang, L Kang, Z Cheng, X Zhou, A Shrivastava CVPR 2022, 2022 | 110 | 2022 |
| To see is to believe: Prompting gpt-4v for better visual instruction tuning J Wang, L Meng, Z Weng, B He, Z Wu, YG Jiang arXiv preprint arXiv:2311.07574, 2023 | 82 | 2023 |
| Align and Attend: Multimodal Summarization with Dual Contrastive Losses B He, J Wang, J Qiu, T Bui, A Shrivastava, Z Wang CVPR 2023, 2023 | 59 | 2023 |
| MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding B He, H Li, YK Jang, M Jia, X Cao, A Shah, A Shrivastava, SN Lim CVPR 2024, 2024 | 57 | 2024 |
| Towards Scalable Neural Representation for Diverse Videos B He, X Yang, H Wang, Z Wu, H Chen, S Huang, Y Ren, SN Lim, ... CVPR 2023, 2023 | 36 | 2023 |
| Feature combination meets attention: Baidu soccer embeddings and transformer based temporal detection X Zhou, L Kang, Z Cheng, B He, J Xin arXiv preprint arXiv:2106.14447, 2021 | 36 | 2021 |
| GTA: Global Temporal Attention for Video Action Understanding B He, X Yang, Z Wu, H Chen, SN Lim, A Shrivastava BMVC 2021, 2021 | 32 | 2021 |
| CNeRV: Content-adaptive Neural Representation for Visual Data H Chen, M Gwilliam, B He, SN Lim, A Shrivastava BMVC 2022, 2022 | 25 | 2022 |
| Learning Semantic Correspondence with Sparse Annotations S Huang, L Yang, B He, S Zhang, X He, A Shrivastava ECCV 2022, 2022 | 24 | 2022 |
| Omnivid: A generative framework for universal video understanding J Wang, D Chen, C Luo, B He, L Yuan, Z Wu, YG Jiang CVPR 2024, 2024 | 16 | 2024 |
| Recognizing actions using object states N Saini, B He, G Shrivastava, SS Rambhatla, A Shrivastava ICLR2022 Workshop on the Elements of Reasoning: Objects, Structure and Causality, 2022 | 16 | 2022 |
| Chop & learn: Recognizing and generating object-state compositions N Saini, H Wang, A Swaminathan, V Jayasundara, B He, K Gupta, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 14 | 2023 |
| Transformer-based temporal detection in video Z Cheng, L Kang, X Zhou, H Tian, X Li, B He, XIN Jingyu US Patent 12,148,214, 2024 | 2 | 2024 |
| Content-Aware Image Color Editing With Auxiliary Color Restoration Tasks Y Ren, J Shi, Z Zhang, Y Fan, Z Lin, B He, A Shrivastava WACV 2024, 5192-5201, 2024 | 2 | 2024 |
| Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning Z You, J Wang, L Kong, B He, Z Wu arXiv preprint arXiv:2501.13893, 2025 | | 2025 |
| MULTIMODAL VIDEO SUMMARIZATION Z Wang, T Bui, B HE US Patent App. 18/328,597, 2024 | | 2024 |
| Towards Effective Temporal Modeling for Video Understanding B He University of Maryland, College Park, 2023 | | 2023 |
| MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding Supplementary Material B He, H Li, YK Jang, M Jia, X Cao, A Shah, A Shrivastava, SN Lim | | |
| Appendix for Content-Aware Image Color Editing with Auxiliary Color Restoration Tasks Y Ren, J Shi, Z Zhang, Y Fan, Z Lin, B He, A Shrivastava | | |
Abhinav ShrivastavaAssociate Professor, University of Maryland, College ParkBestätigte E-Mail-Adresse bei cs.umd.edu