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2020 – today
- 2023
[i29]Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman:
What You Say Is What You Show: Visual Narration Detection in Instructional Videos. CoRR abs/2301.02307 (2023)- [i28]Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman:
HierVL: Learning Hierarchical Video-Language Embeddings. CoRR abs/2301.02311 (2023) - [i27]Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra:
Cut and Learn for Unsupervised Object Detection and Instance Segmentation. CoRR abs/2301.11320 (2023) - [i26]Bahare Fatemi, Quentin Duval, Rohit Girdhar, Michal Drozdzal, Adriana Romero-Soriano:
Learning to Substitute Ingredients in Recipes. CoRR abs/2302.07960 (2023) - 2022
- [c20]Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar:
Masked-attention Mask Transformer for Universal Image Segmentation. CVPR 2022: 1280-1289 - [c19]Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra:
Omnivore: A Single Model for Many Visual Modalities. CVPR 2022: 16081-16091 - [c18]Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova
, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR 2022: 18973-18990 - [c17]Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra:
Detecting Twenty-Thousand Classes Using Image-Level Supervision. ECCV (9) 2022: 350-368 - [i25]Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra:
Detecting Twenty-thousand Classes using Image-level Supervision. CoRR abs/2201.02605 (2022) - [i24]Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra:
Omnivore: A Single Model for Many Visual Modalities. CoRR abs/2201.08377 (2022) - [i23]Rohit Girdhar, Alaaeldin El-Nouby, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra:
OmniMAE: Single Model Masked Pretraining on Images and Videos. CoRR abs/2206.08356 (2022) - [i22]Yue Zhao, Ishan Misra, Philipp Krähenbühl, Rohit Girdhar:
Learning Video Representations from Large Language Models. CoRR abs/2212.04501 (2022) - 2021
- [c16]Zhongzheng Ren, Ishan Misra, Alexander G. Schwing, Rohit Girdhar:
3D Spatial Recognition Without Spatially Labeled 3D. CVPR 2021: 13204-13213 - [c15]Ishan Misra, Rohit Girdhar, Armand Joulin:
An End-to-End Transformer Model for 3D Object Detection. ICCV 2021: 2886-2897 - [c14]Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra:
Self-Supervised Pretraining of 3D Features on any Point-Cloud. ICCV 2021: 10232-10243 - [c13]Rohit Girdhar, Kristen Grauman:
Anticipative Video Transformer. ICCV 2021: 13485-13495 - [i21]Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra:
Self-Supervised Pretraining of 3D Features on any Point-Cloud. CoRR abs/2101.02691 (2021) - [i20]Eltayeb Ahmed, Anton Bakhtin, Laurens van der Maaten, Rohit Girdhar:
Physical Reasoning Using Dynamics-Aware Models. CoRR abs/2102.10336 (2021) - [i19]Zhongzheng Ren, Ishan Misra, Alexander G. Schwing, Rohit Girdhar:
3D Spatial Recognition without Spatially Labeled 3D. CoRR abs/2105.06461 (2021) - [i18]Rohit Girdhar, Kristen Grauman:
Anticipative Video Transformer. CoRR abs/2106.02036 (2021) - [i17]Ishan Misra, Rohit Girdhar, Armand Joulin:
An End-to-End Transformer Model for 3D Object Detection. CoRR abs/2109.08141 (2021) - [i16]Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR abs/2110.07058 (2021) - [i15]Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar:
Masked-attention Mask Transformer for Universal Image Segmentation. CoRR abs/2112.01527 (2021) - [i14]Bowen Cheng, Anwesa Choudhuri, Ishan Misra, Alexander Kirillov, Rohit Girdhar, Alexander G. Schwing:
Mask2Former for Video Instance Segmentation. CoRR abs/2112.10764 (2021) - 2020
- [c12]Rohit Girdhar, Deva Ramanan:
CATER: A diagnostic dataset for Compositional Actions & TEmporal Reasoning. ICLR 2020 - [c11]Jessica Lee, Deva Ramanan, Rohit Girdhar:
MetaPix: Few-Shot Video Retargeting. ICLR 2020 - [i13]Bruno Korbar, Fabio Petroni, Rohit Girdhar, Lorenzo Torresani:
Video Understanding as Machine Translation. CoRR abs/2006.07203 (2020) - [i12]Rohit Girdhar, Laura Gustafson, Aaron Adcock, Laurens van der Maaten:
Forward Prediction for Physical Reasoning. CoRR abs/2006.10734 (2020)
2010 – 2019
- 2019
- [b1]Rohit Girdhar:
Learning to Understand People via Local, Global and Temporal Reasoning. Carnegie Mellon University, USA, 2019 - [c10]Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman:
Video Action Transformer Network. CVPR 2019: 244-253 - [c9]Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan:
DistInit: Learning Video Representations Without a Single Labeled Video. ICCV 2019: 852-861 - [c8]Bhavan Jasani, Rohit Girdhar, Deva Ramanan:
Are we Asking the Right Questions in MovieQA? ICCV Workshops 2019: 1879-1882 - [i11]Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan:
DistInit: Learning Video Representations without a Single Labeled Video. CoRR abs/1901.09244 (2019) - [i10]Jessica Lee, Deva Ramanan, Rohit Girdhar:
MetaPix: Few-Shot Video Retargeting. CoRR abs/1910.04742 (2019) - [i9]Rohit Girdhar, Deva Ramanan:
CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning. CoRR abs/1910.04744 (2019) - [i8]Bhavan Jasani, Rohit Girdhar, Deva Ramanan:
Are we asking the right questions in MovieQA? CoRR abs/1911.03083 (2019) - 2018
- [c7]Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran:
Detect-and-Track: Efficient Pose Estimation in Videos. CVPR 2018: 350-359 - [i7]Xiaolong Wang, Rohit Girdhar, Abhinav Gupta:
Binge Watching: Scaling Affordance Learning from Sitcoms. CoRR abs/1804.03080 (2018) - [i6]Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman:
A Better Baseline for AVA. CoRR abs/1807.10066 (2018) - [i5]Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman:
Video Action Transformer Network. CoRR abs/1812.02707 (2018) - 2017
- [c6]Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan C. Russell:
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification. CVPR 2017: 3165-3174 - [c5]Xiaolong Wang, Rohit Girdhar, Abhinav Gupta:
Binge Watching: Scaling Affordance Learning from Sitcoms. CVPR 2017: 3366-3375 - [c4]Rohit Girdhar, Deva Ramanan:
Attentional Pooling for Action Recognition. NIPS 2017: 34-45 - [i4]Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan C. Russell:
ActionVLAD: Learning spatio-temporal aggregation for action classification. CoRR abs/1704.02895 (2017) - [i3]Rohit Girdhar, Deva Ramanan:
Attentional Pooling for Action Recognition. CoRR abs/1711.01467 (2017) - [i2]Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran:
Detect-and-Track: Efficient Pose Estimation in Videos. CoRR abs/1712.09184 (2017) - 2016
- [c3]Rohit Girdhar, David F. Fouhey, Mikel Rodriguez, Abhinav Gupta:
Learning a Predictable and Generative Vector Representation for Objects. ECCV (6) 2016: 484-499 - [c2]Rohit Girdhar, David F. Fouhey, Kris M. Kitani, Abhinav Gupta, Martial Hebert:
Cutting through the clutter: Task-relevant features for image matching. WACV 2016: 1-9 - [i1]Rohit Girdhar, David F. Fouhey, Mikel Rodriguez, Abhinav Gupta:
Learning a Predictable and Generative Vector Representation for Objects. CoRR abs/1603.08637 (2016) - 2014
- [c1]Rohit Girdhar, Jayaguru Panda, C. V. Jawahar:
Optimizing Storage Intensive Vision Applications to Device Capacity. ACCV (5) 2014: 460-475
Coauthor Index
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last updated on 2023-02-21 22:52 CET by the dblp team
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