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ORCIDKristen Grauman
Person information
- affiliation: University of Texas at Austin, USA
- award (2013): Presidential Early Career Award for Scientists and Engineers
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2020 – today
- 2024
[j41]Adam R. Klivans, Alexandros G. Dimakis, Kristen Grauman, Jonathan I. Tamir, Daniel Jesus Diaz, Karen Davidson
:
Institute for Foundations of Machine Learning (IFML): Advancing AI systems that will transform our world. AI Mag. 45(1): 35-41 (2024)- [c197]Hanwen Jiang, Zhenyu Jiang, Kristen Grauman, Yuke Zhu:
Few-View Object Reconstruction with Unknown Categories and Camera Poses. 3DV 2024: 31-41 - [c196]Zihui Xue, Kumar Ashutosh, Kristen Grauman:
Learning Object State Changes in Videos: An Open-World Perspective. CVPR 2024: 18493-18503 - [c195]Kumar Ashutosh, Zihui Xue, Tushar Nagarajan, Kristen Grauman:
Detours for Navigating Instructional Videos. CVPR 2024: 18804-18815 - [c194]Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbeláez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray:
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CVPR 2024: 19383-19400 - [c193]Sagnik Majumder, Ziad Al-Halah, Kristen Grauman:
Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos. CVPR 2024: 27048-27058 - [c192]Changan Chen, Kumar Ashutosh, Rohit Girdhar, David Harwath, Kristen Grauman:
SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos. CVPR 2024: 27242-27252 - [c191]Mi Luo, Zihui Xue, Alex Dimakis, Kristen Grauman:
Put Myself in Your Shoes: Lifting the Egocentric Perspective from Exocentric Videos. ECCV (38) 2024: 407-425 - [c190]Feng Cheng, Mi Luo, Huiyu Wang, Alex Dimakis, Lorenzo Torresani, Gedas Bertasius, Kristen Grauman:
4DIFF: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation. ECCV (24) 2024: 409-427 - [i126]Kumar Ashutosh, Zihui Xue, Tushar Nagarajan, Kristen Grauman:
Detours for Navigating Instructional Videos. CoRR abs/2401.01823 (2024) - [i125]Mi Luo, Zihui Xue, Alex Dimakis, Kristen Grauman:
Put Myself in Your Shoes: Lifting the Egocentric Perspective from Exocentric Videos. CoRR abs/2403.06351 (2024) - [i124]Changan Chen, Kumar Ashutosh, Rohit Girdhar, David Harwath, Kristen Grauman:
SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos. CoRR abs/2404.05206 (2024) - [i123]Arjun Somayazulu, Sagnik Majumder, Changan Chen, Kristen Grauman:
ActiveRIR: Active Audio-Visual Exploration for Acoustic Environment Modeling. CoRR abs/2404.16216 (2024) - [i122]Changan Chen, Jordi Ramos, Anshul Tomar, Kristen Grauman:
Sim2Real Transfer for Audio-Visual Navigation with Frequency-Adaptive Acoustic Field Prediction. CoRR abs/2405.02821 (2024) - [i121]Zihui Xue, Mi Luo, Changan Chen, Kristen Grauman:
HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness. CoRR abs/2406.07754 (2024) - [i120]Changan Chen, Puyuan Peng, Ami Baid, Zihui Xue, Wei-Ning Hsu, David Harwath, Kristen Grauman:
Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos. CoRR abs/2406.09272 (2024) - [i119]Kumar Ashutosh, Tushar Nagarajan, Georgios Pavlakos, Kris Kitani, Kristen Grauman:
ExpertAF: Expert Actionable Feedback from Video. CoRR abs/2408.00672 (2024) - [i118]Bolin Lai, Sam Toyer, Tushar Nagarajan, Rohit Girdhar, Shengxin Zha, James M. Rehg, Kris Kitani, Kristen Grauman, Ruta Desai, Miao Liu:
Human Action Anticipation: A Survey. CoRR abs/2410.14045 (2024) - 2023
- [j40]Rishabh Garg, Ruohan Gao, Kristen Grauman:
Visually-Guided Audio Spatialization in Video with Geometry-Aware Multi-task Learning. Int. J. Comput. Vis. 131(10): 2723-2737 (2023) - [j39]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023) - [j38]Antonino Furnari, David J. Crandall, Dima Damen, Kristen Grauman, Giovanni Maria Farinella:
Editorial: Special Section on Egocentric Perception. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6602-6604 (2023) - [c189]Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani:
Egocentric Video Task Translation. CVPR 2023: 2310-2320 - [c188]Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi:
Novel-View Acoustic Synthesis. CVPR 2023: 6409-6419 - [c187]Santhosh Kumar Ramakrishnan, Ziad Al-Halah, Kristen Grauman:
NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory. CVPR 2023: 6694-6703 - [c186]Sagnik Majumder, Hao Jiang, Pierre Moulon, Ethan Henderson, Paul Calamia, Kristen Grauman, Vamsi Krishna Ithapu:
Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations. CVPR 2023: 10554-10564 - [c185]Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman:
HierVL: Learning Hierarchical Video-Language Embeddings. CVPR 2023: 23066-23078 - [c184]Changan Chen, Wei Sun, David Harwath, Kristen Grauman:
Learning Audio-Visual Dereverberation. ICASSP 2023: 1-5 - [c183]Santhosh Kumar Ramakrishnan, Ziad Al-Halah, Kristen Grauman:
SpotEM: Efficient Video Search for Episodic Memory. ICML 2023: 28618-28636 - [c182]Xixi Hu, Senthil Purushwalkam, David Harwath, Kristen Grauman:
Learning to Map Efficiently by Active Echolocation. IROS 2023: 1505-1510 - [c181]Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman:
Video-Mined Task Graphs for Keystep Recognition in Instructional Videos. NeurIPS 2023 - [c180]Hanwen Jiang, Santhosh Kumar Ramakrishnan, Kristen Grauman:
Single-Stage Visual Query Localization in Egocentric Videos. NeurIPS 2023 - [c179]Tushar Nagarajan, Santhosh Kumar Ramakrishnan, Ruta Desai, James Hillis, Kristen Grauman:
EgoEnv: Human-centric environment representations from egocentric video. NeurIPS 2023 - [c178]Arjun Somayazulu, Changan Chen, Kristen Grauman:
Self-Supervised Visual Acoustic Matching. NeurIPS 2023 - [c177]Shuhan Tan, Tushar Nagarajan, Kristen Grauman:
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding. NeurIPS 2023 - [c176]Hao Tang, Kevin J. Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang:
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. NeurIPS 2023 - [c175]Zihui Xue, Kristen Grauman:
Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment. NeurIPS 2023 - [i117]Santhosh Kumar Ramakrishnan, Ziad Al-Halah, Kristen Grauman:
NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory. CoRR abs/2301.00746 (2023) - [i116]Sagnik Majumder, Hao Jiang, Pierre Moulon, Ethan Henderson, Paul Calamia, Kristen Grauman, Vamsi Krishna Ithapu:
Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations. CoRR abs/2301.02184 (2023) - [i115]Shuhan Tan, Tushar Nagarajan, Kristen Grauman:
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding. CoRR abs/2301.02217 (2023) - [i114]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) - [i113]Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman:
HierVL: Learning Hierarchical Video-Language Embeddings. CoRR abs/2301.02311 (2023) - [i112]Hao Tang, Kevin J. Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang:
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. CoRR abs/2301.03213 (2023) - [i111]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - [i110]Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi:
Novel-View Acoustic Synthesis. CoRR abs/2301.08730 (2023) - [i109]Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani:
Egocentric Video Task Translation @ Ego4D Challenge 2022. CoRR abs/2302.01891 (2023) - [i108]Zihui Xue, Kristen Grauman:
Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment. CoRR abs/2306.05526 (2023) - [i107]Hanwen Jiang, Santhosh Kumar Ramakrishnan, Kristen Grauman:
Single-Stage Visual Query Localization in Egocentric Videos. CoRR abs/2306.09324 (2023) - [i106]Santhosh Kumar Ramakrishnan, Ziad Al-Halah, Kristen Grauman:
SpotEM: Efficient Video Search for Episodic Memory. CoRR abs/2306.15850 (2023) - [i105]Sagnik Majumder, Ziad Al-Halah, Kristen Grauman:
Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos. CoRR abs/2307.04760 (2023) - [i104]Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman:
Video-Mined Task Graphs for Keystep Recognition in Instructional Videos. CoRR abs/2307.08763 (2023) - [i103]Arjun Somayazulu, Changan Chen, Kristen Grauman:
Self-Supervised Visual Acoustic Matching. CoRR abs/2307.15064 (2023) - [i102]Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, et al.:
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CoRR abs/2311.18259 (2023) - [i101]Zihui Xue, Kumar Ashutosh, Kristen Grauman:
Learning Object State Changes in Videos: An Open-World Perspective. CoRR abs/2312.11782 (2023) - 2022
- [j37]Yu-Chuan Su, Kristen Grauman:
Learning Spherical Convolution for $360^{\circ }$360∘ Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8371-8386 (2022) - [c174]Ziad Al-Halah, Santhosh K. Ramakrishnan, Kristen Grauman:
Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation. CVPR 2022: 17010-17020 - [c173]Changan Chen, Ruohan Gao, Paul Calamia, Kristen Grauman:
Visual Acoustic Matching. CVPR 2022: 18836-18846 - [c172]Santhosh Kumar Ramakrishnan, Devendra Singh Chaplot, Ziad Al-Halah, Jitendra Malik, Kristen Grauman:
PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. CVPR 2022: 18868-18878 - [c171]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 - [c170]Sagnik Majumder, Kristen Grauman:
Active Audio-Visual Separation of Dynamic Sound Sources. ECCV (39) 2022: 551-569 - [c169]Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li:
Egocentric Activity Recognition and Localization on a 3D Map. ECCV (13) 2022: 621-638 - [c168]Santhosh Kumar Ramakrishnan, Tushar Nagarajan, Ziad Al-Halah, Kristen Grauman:
Environment Predictive Coding for Visual Navigation. ICLR 2022 - [c167]Changan Chen, Carl Schissler, Sanchit Garg, Philip Kobernik, Alexander Clegg, Paul Calamia, Dhruv Batra, Philip W. Robinson, Kristen Grauman:
SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning. NeurIPS 2022 - [c166]Sagnik Majumder, Changan Chen, Ziad Al-Halah, Kristen Grauman:
Few-Shot Audio-Visual Learning of Environment Acoustics. NeurIPS 2022 - [c165]Utkarsh Mall, Kavita Bala, Tamara Berg, Kristen Grauman:
Discovering Underground Maps from Fashion. WACV 2022: 497-506 - [i100]Santhosh Kumar Ramakrishnan, Devendra Singh Chaplot, Ziad Al-Halah, Jitendra Malik, Kristen Grauman:
PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. CoRR abs/2201.10029 (2022) - [i99]Priyanka Mandikal, Kristen Grauman:
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video. CoRR abs/2202.00164 (2022) - [i98]Sagnik Majumder, Ziad Al-Halah, Kristen Grauman:
Active Audio-Visual Separation of Dynamic Sound Sources. CoRR abs/2202.00850 (2022) - [i97]Ziad Al-Halah, Santhosh K. Ramakrishnan, Kristen Grauman:
Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation. CoRR abs/2202.02440 (2022) - [i96]Changan Chen, Ruohan Gao, Paul Calamia, Kristen Grauman:
Visual Acoustic Matching. CoRR abs/2202.06875 (2022) - [i95]Sagnik Majumder, Changan Chen, Ziad Al-Halah, Kristen Grauman:
Few-Shot Audio-Visual Learning of Environment Acoustics. CoRR abs/2206.04006 (2022) - [i94]Changan Chen, Carl Schissler, Sanchit Garg, Philip Kobernik, Alexander Clegg, Paul Calamia, Dhruv Batra, Philip W. Robinson, Kristen Grauman:
SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning. CoRR abs/2206.08312 (2022) - [i93]Tushar Nagarajan, Santhosh Kumar Ramakrishnan, Ruta Desai, James Hillis, Kristen Grauman:
Egocentric scene context for human-centric environment understanding from video. CoRR abs/2207.11365 (2022) - [i92]Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu:
Retrospectives on the Embodied AI Workshop. CoRR abs/2210.06849 (2022) - [i91]Hanwen Jiang, Zhenyu Jiang, Kristen Grauman, Yuke Zhu:
Few-View Object Reconstruction with Unknown Categories and Camera Poses. CoRR abs/2212.04492 (2022) - [i90]Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani:
Egocentric Video Task Translation. CoRR abs/2212.06301 (2022) - 2021
- [j36]Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman:
An Exploration of Embodied Visual Exploration. Int. J. Comput. Vis. 129(5): 1616-1649 (2021) - [j35]Yu-Chuan Su, Kristen Grauman:
Learning Compressible 360$^{\circ }$∘ Video Isomers. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2697-2709 (2021) - [j34]Ziad Al-Halah, Kristen Grauman:
Modeling Fashion Influence From Photos. IEEE Trans. Multim. 23: 4143-4157 (2021) - [c164]Rishabh Garg, Ruohan Gao, Kristen Grauman:
Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video. BMVC 2021: 1 - [c163]Priyanka Mandikal, Kristen Grauman:
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video. CoRL 2021: 651-661 - [c162]Yanghao Li, Tushar Nagarajan, Bo Xiong, Kristen Grauman:
Ego-Exo: Transferring Visual Representations From Third-Person to First-Person Videos. CVPR 2021: 6943-6953 - [c161]Hui Wu, Yupeng Gao, Xiaoxiao Guo, Ziad Al-Halah, Steven Rennie, Kristen Grauman, Rogério Feris:
Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback. CVPR 2021: 11307-11317 - [c160]Ruohan Gao, Kristen Grauman:
VisualVoice: Audio-Visual Speech Separation With Cross-Modal Consistency. CVPR 2021: 15495-15505 - [c159]Changan Chen, Ziad Al-Halah, Kristen Grauman:
Semantic Audio-Visual Navigation. CVPR 2021: 15516-15525 - [c158]Sagnik Majumder, Ziad Al-Halah, Kristen Grauman:
Move2Hear: Active Audio-Visual Source Separation. ICCV 2021: 275-285 - [c157]Wei-Lin Hsiao, Kristen Grauman:
From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images. ICCV 2021: 1046-1055 - [c156]Senthil Purushwalkam, Sebastia Vicenc Amengual Gari, Vamsi Krishna Ithapu, Carl Schissler, Philip W. Robinson, Abhinav Gupta, Kristen Grauman:
Audio-Visual Floorplan Reconstruction. ICCV 2021: 1163-1172 - [c155]Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer:
Multiview Pseudo-Labeling for Semi-supervised Learning from Video. ICCV 2021: 7189-7199 - [c154]Rohit Girdhar, Kristen Grauman:
Anticipative Video Transformer. ICCV 2021: 13485-13495 - [c153]Changan Chen, Sagnik Majumder, Ziad Al-Halah, Ruohan Gao, Santhosh Kumar Ramakrishnan, Kristen Grauman:
Learning to Set Waypoints for Audio-Visual Navigation. ICLR 2021 - [c152]Priyanka Mandikal, Kristen Grauman:
Learning Dexterous Grasping with Object-Centric Visual Affordances. ICRA 2021: 6169-6176 - [c151]Tushar Nagarajan, Kristen Grauman:
Shaping embodied agent behavior with activity-context priors from egocentric video. NeurIPS 2021: 29794-29805 - [i89]Ruohan Gao, Kristen Grauman:
VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency. CoRR abs/2101.03149 (2021) - [i88]Wei-Lin Hsiao, Kristen Grauman:
From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images. CoRR abs/2102.01690 (2021) - [i87]Santhosh K. Ramakrishnan, Tushar Nagarajan, Ziad Al-Halah, Kristen Grauman:
Environment Predictive Coding for Embodied Agents. CoRR abs/2102.02337 (2021) - [i86]Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer:
Multiview Pseudo-Labeling for Semi-supervised Learning from Video. CoRR abs/2104.00682 (2021) - [i85]Yanghao Li, Tushar Nagarajan, Bo Xiong, Kristen Grauman:
Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos. CoRR abs/2104.07905 (2021) - [i84]Sagnik Majumder, Ziad Al-Halah, Kristen Grauman:
Move2Hear: Active Audio-Visual Source Separation. CoRR abs/2105.07142 (2021) - [i83]Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li:
Egocentric Activity Recognition and Localization on a 3D Map. CoRR abs/2105.09544 (2021) - [i82]Rohit Girdhar, Kristen Grauman:
Anticipative Video Transformer. CoRR abs/2106.02036 (2021) - [i81]Changan Chen, Wei Sun, David Harwath, Kristen Grauman:
Learning Audio-Visual Dereverberation. CoRR abs/2106.07732 (2021) - [i80]Sukjin Han, Eric H. Schulman, Kristen Grauman, Santhosh Ramakrishnan:
Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts. CoRR abs/2107.02739 (2021) - [i79]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 Arbeláez, 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) - [i78]Tushar Nagarajan, Kristen Grauman:
Shaping embodied agent behavior with activity-context priors from egocentric video. CoRR abs/2110.07692 (2021) - [i77]Rishabh Garg, Ruohan Gao, Kristen Grauman:
Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video. CoRR abs/2111.10882 (2021) - 2020
- [j33]Aron Yu, Kristen Grauman:
Densifying Supervision for Fine-Grained Visual Comparisons. Int. J. Comput. Vis. 128(10): 2704-2730 (2020) - [c150]Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman:<