| Hierarchical video prediction using relational layouts for human-object interactions N Bodla, G Shrivastava, R Chellappa, A Shrivastava Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 22 | 2021 |
| Geodict: an integrated gazetteer J Fize, G Shrivastava Proceedings of Language, Ontology, Terminology and Knowledge Structures …, 2017 | 20 | 2017 |
| 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 |
| Diverse Video Generation using a Gaussian Process Trigger G Shrivastava, A Shrivastava International Conference on Learning Representations, 2021 | 16 | 2021 |
| Video Prediction by Modeling Videos as Continuous Multi-Dimensional Processes G Shrivastava, A Shrivastava Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| Diverse Video Generation G Shrivastava University of Maryland, College Park, 2021 | 7 | 2021 |
| Video dynamics prior: An internal learning approach for robust video enhancements G Shrivastava, SN Lim, A Shrivastava Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| Video decomposition prior: Editing videos layer by layer G Shrivastava, SN Lim, A Shrivastava The Twelfth International Conference on Learning Representations, 2024 | 6 | 2024 |
| Advance Video Modeling Techniques for Video Generation and Enhancement Tasks G Shrivastava University of Maryland, College Park, 2024 | 3 | 2024 |
| Multi-relational Bayesian Classification through Genetic Approach NK Choudhary, G Shrivastava, M Malviya International Journal of Advanced Research in Computer and Communication …, 2012 | 2 | 2012 |
| Valorcarn-TETIS: Terms extracted with Biotex M Roche, M Teisseire, G Shrivastava CIRAD Dataverse, 2017 | 1 | 2017 |
| Valorcarn-TETIS: Terms extracted with Fastr (free extraction) M Roche, M Teisseire, G Shrivastava CIRAD Dataverse, 2017 | 1 | 2017 |
| Valorcarn-TETIS: candidates for OTR (Ontological and Terminological Resource) M Roche, M Teisseire, G Shrivastava CIRAD Dataverse, 2017 | 1 | 2017 |
| Obstacle-aware Gaussian Process Regression G Shrivastava arXiv preprint arXiv:2412.06160, 2024 | | 2024 |
| Efficient Continuous Video Flow Model for Video Prediction G Shrivastava, A Shrivastava arXiv preprint arXiv:2412.05633, 2024 | | 2024 |
| Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction G Shrivastava, A Shrivastava arXiv preprint arXiv:2412.04929, 2024 | | 2024 |
| Video Decomposition Prior: A Methodology to Decompose Videos into Layers G Shrivastava, SN Lim, A Shrivastava arXiv preprint arXiv:2412.04930, 2024 | | 2024 |
| Valorcarn-TETIS: Semantic groups of terms M Roche, M Teisseire, G Shrivastava CIRAD Dataverse, 2017 | | 2017 |
| Valorcarn-TETIS: Fusion of terms extracted with Biotex and Fastr M Roche, M Teisseire, G Shrivastava CIRAD Dataverse, 2017 | | 2017 |
| Valorcarn-TETIS: Terms extracted with Biotex M Roche, M Teisseire, G Shrivastava CIRAD Dataverse, 2017 | | 2017 |
Abhinav ShrivastavaAssociate Professor, University of Maryland, College ParkΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cs.umd.edu