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ORCIDMedhini Narasimhan
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2020 – today
- 2023
[b1]Medhini Narasimhan:
Multimodal Long-Term Video Understanding. University of California, Berkeley, USA, 2023- [c8]Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein:
Modular Visual Question Answering via Code Generation. ACL (2) 2023: 747-761 - [i9]Medhini Narasimhan, Licheng Yu, Sean Bell, Ning Zhang, Trevor Darrell:
Learning and Verification of Task Structure in Instructional Videos. CoRR abs/2303.13519 (2023) - [i8]Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein:
Modular Visual Question Answering via Code Generation. CoRR abs/2306.05392 (2023) - 2022
- [c7]Medhini Narasimhan
, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid:
TL;DW? Summarizing Instructional Videos with Task Relevance and Cross-Modal Saliency. ECCV (34) 2022: 540-557 - [c6]Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell:
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures. WACV 2022: 507-516 - [i7]Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid:
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency. CoRR abs/2208.06773 (2022) - 2021
- [c5]Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang:
Multi-Person 3D Motion Prediction with Multi-Range Transformers. NeurIPS 2021: 6036-6049 - [c4]Medhini Narasimhan, Anna Rohrbach, Trevor Darrell:
CLIP-It! Language-Guided Video Summarization. NeurIPS 2021: 13988-14000 - [i6]Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell:
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures. CoRR abs/2104.02687 (2021) - [i5]Medhini Narasimhan, Anna Rohrbach, Trevor Darrell:
CLIP-It! Language-Guided Video Summarization. CoRR abs/2107.00650 (2021) - [i4]Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang:
Multi-Person 3D Motion Prediction with Multi-Range Transformers. CoRR abs/2111.12073 (2021) - 2020
- [c3]Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh:
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation. ECCV (18) 2020: 513-529 - [i3]Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh:
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation. CoRR abs/2007.09841 (2020)
2010 – 2019
- 2018
- [j2]Medhini Narasimhan, Balaji Balasubramanian, Suryansh D. Kumar, Nagamma Patil:
EGA-FMC: enhanced genetic algorithm-based fuzzy k-modes clustering for categorical data. Int. J. Bio Inspired Comput. 11(4): 219-228 (2018) - [j1]Medhini G. Narasimhan, Sowmya Kamath S.:
Dynamic video anomaly detection and localization using sparse denoising autoencoders. Multim. Tools Appl. 77(11): 13173-13195 (2018) - [c2]Medhini Narasimhan, Alexander G. Schwing:
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering. ECCV (8) 2018: 460-477 - [c1]Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing:
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering. NeurIPS 2018: 2659-2670 - [i2]Medhini Narasimhan, Alexander G. Schwing:
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering. CoRR abs/1809.01124 (2018) - [i1]Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing:
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering. CoRR abs/1811.00538 (2018)
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