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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
- 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 L. 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) - [i109]Santhosh Kumar Ramakrishnan, Ziad Al-Halah, Kristen Grauman:
NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory. CoRR abs/2301.00746 (2023) - [i108]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) - [i107]Shuhan Tan, Tushar Nagarajan, Kristen Grauman:
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding. CoRR abs/2301.02217 (2023) - [i106]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) - [i105]Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman:
HierVL: Learning Hierarchical Video-Language Embeddings. CoRR abs/2301.02311 (2023) - [i104]Hao Tang, Kevin Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang:
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. CoRR abs/2301.03213 (2023) - [i103]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 L. 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) - [i102]Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi:
Novel-View Acoustic Synthesis. CoRR abs/2301.08730 (2023) - [i101]Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani:
Egocentric Video Task Translation @ Ego4D Challenge 2022. CoRR abs/2302.01891 (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 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) - [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:
Ego-Topo: Environment Affordances From Egocentric Video. CVPR 2020: 160-169 - [c149]Evonne Ng, Donglai Xiang, Hanbyul Joo, Kristen Grauman:
You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions. CVPR 2020: 9887-9897 - [c148]Ziad Al-Halah, Kristen Grauman:
From Paris to Berlin: Discovering Fashion Style Influences Around the World. CVPR 2020: 10133-10142 - [c147]Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani:
Listen to Look: Action Recognition by Previewing Audio. CVPR 2020: 10454-10464 - [c146]Wei-Lin Hsiao, Kristen Grauman:
ViBE: Dressing for Diverse Body Shapes. CVPR 2020: 11056-11066 - [c145]Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram:
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CVPR 2020: 11067-11075 - [c144]Changan Chen, Unnat Jain, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip W. Robinson, Kristen Grauman:
SoundSpaces: Audio-Visual Navigation in 3D Environments. ECCV (6) 2020: 17-36 - [c143]Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing:
Proposal-Based Video Completion. ECCV (27) 2020: 38-54 - [c142]Santhosh K. Ramakrishnan, Ziad Al-Halah, Kristen Grauman:
Occupancy Anticipation for Efficient Exploration and Navigation. ECCV (5) 2020: 400-418 - [c141]Ruohan Gao, Changan Chen, Ziad Al-Halah, Carl Schissler, Kristen Grauman:
VisualEchoes: Spatial Image Representation Learning Through Echolocation. ECCV (9) 2020: 658-676 - [c140]Tushar Nagarajan, Kristen Grauman:
Learning Affordance Landscapes for Interaction Exploration in 3D Environments. NeurIPS 2020 - [c139]Kristen Grauman:
Computer Vision for Fashion: From Individual Recommendations to World-wide Trends. WSDM 2020: 3 - [i76]Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman:
An Exploration of Embodied Visual Exploration. CoRR abs/2001.02192 (2020) - [i75]Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram:
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CoRR abs/2001.03152 (2020) - [i74]Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman:
EGO-TOPO: Environment Affordances from Egocentric Video. CoRR abs/2001.04583 (2020) - [i73]Fanyi Xiao, Yong Jae Lee, Kristen Grauman, Jitendra Malik, Christoph Feichtenhofer:
Audiovisual SlowFast Networks for Video Recognition. CoRR abs/2001.08740 (2020) - [i72]Ziad Al-Halah, Kristen Grauman:
From Paris to Berlin: Discovering Fashion Style Influences Around the World. CoRR abs/2004.01316 (2020) - [i71]Ruohan Gao, Changan Chen, Ziad Al-Halah, Carl Schissler, Kristen Grauman:
VisualEchoes: Spatial Image Representation Learning through Echolocation. CoRR abs/2005.01616 (2020) - [i70]Nicole D. Payntar, Wei-Lin Hsiao, R. Alan Covey, Kristen Grauman:
Learning Patterns of Tourist Movement and Photography from Geotagged Photos at Archaeological Heritage Sites in Cuzco, Peru. CoRR abs/2006.16424 (2020) - [i69]Tushar Nagarajan, Kristen Grauman:
Learning Affordance Landscapes forInteraction Exploration in 3D Environments. CoRR abs/2008.09241 (2020) - [i68]Santhosh K. Ramakrishnan, Ziad Al-Halah, Kristen Grauman:
Occupancy Anticipation for Efficient Exploration and Navigation. CoRR abs/2008.09285 (2020) - [i67]Changan Chen, Sagnik Majumder, Ziad Al-Halah, Ruohan Gao, Santhosh Kumar Ramakrishnan, Kristen Grauman:
Audio-Visual Waypoints for Navigation. CoRR abs/2008.09622 (2020) - [i66]Priyanka Mandikal, Kristen Grauman:
Dexterous Robotic Grasping with Object-Centric Visual Affordances. CoRR abs/2009.01439 (2020) - [i65]Ziad Al-Halah, Kristen Grauman:
Modeling Fashion Influence from Photos. CoRR abs/2011.09663 (2020) - [i64]Utkarsh Mall, Kavita Bala, Tamara Berg, Kristen Grauman:
Discovering Underground Maps from Fashion. CoRR abs/2012.02897 (2020) - [i63]Changan Chen, Ziad Al-Halah, Kristen Grauman:
Semantic Audio-Visual Navigation. CoRR abs/2012.11583 (2020) - [i62]Senthil Purushwalkam, Sebastia Vicenc Amengual Gari, Vamsi Krishna Ithapu, Carl Schissler, Philip W. Robinson, Abhinav Gupta, Kristen Grauman:
Audio-Visual Floorplan Reconstruction. CoRR abs/2012.15470 (2020)
2010 – 2019
- 2019
- [j32]Danna Gurari, Yinan Zhao, Suyog Dutt Jain, Margrit Betke, Kristen Grauman:
Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch. Int. J. Comput. Vis. 127(9): 1198-1216 (2019) - [j31]Suyog Dutt Jain, Kristen Grauman:
Click Carving: Interactive Object Segmentation in Images and Videos with Point Clicks. Int. J. Comput. Vis. 127(9): 1321-1344 (2019) - [j30]Dinesh Jayaraman, Kristen Grauman:
End-to-End Policy Learning for Active Visual Categorization. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1601-1614 (2019) - [j29]Bo Xiong, Suyog Dutt Jain, Kristen Grauman:
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2677-2692 (2019) - [j28]Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman:
Emergence of exploratory look-around behaviors through active observation completion. Sci. Robotics 4(30) (2019) - [c138]Ruohan Gao, Kristen Grauman:
2.5D Visual Sound. CVPR 2019 - [c137]Ruohan Gao, Kristen Grauman:
2.5D Visual Sound. CVPR Workshops 2019 - [c136]Yu-Chuan Su, Kristen Grauman:
Kernel Transformer Networks for Compact Spherical Convolution. CVPR Workshops 2019: 11-15 - [c135]Aron Yu, Kristen Grauman:
Thinking Outside the Pool: Active Training Image Creation for Relative Attributes. CVPR 2019: 708-718 - [c134]Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman:
Less Is More: Learning Highlight Detection From Video Duration. CVPR 2019: 1258-1267 - [c133]Zhenpei Yang, Jeffrey Z. Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman, Qixing Huang:
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion. CVPR 2019: 4531-4540 - [c132]Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning Through Adaptive Fine-Tuning. CVPR 2019: 4805-4814 - [c131]Yu-Chuan Su, Kristen Grauman:
Kernel Transformer Networks for Compact Spherical Convolution. CVPR 2019: 9442-9451 - [c130]Ruohan Gao, Kristen Grauman:
Co-Separating Sounds of Visual Objects. ICCV 2019: 3878-3887 - [c129]Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman:
Fashion++: Minimal Edits for Outfit Improvement. ICCV 2019: 5046-5055 - [c128]Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman:
Grounded Human-Object Interaction Hotspots From Video. ICCV 2019: 8687-8696 - [i61]Zhenpei Yang, Jeffrey Z. Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman, Qixing Huang:
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion. CoRR abs/1901.00063 (2019) - [i60]Aron Yu, Kristen Grauman:
Thinking Outside the Pool: Active Training Image Creation for Relative Attributes. CoRR abs/1901.02551 (2019) - [i59]Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman:
Less is More: Learning Highlight Detection from Video Duration. CoRR abs/1903.00859 (2019) - [i58]Antonino Furnari, Sebastiano Battiato, Kristen Grauman, Giovanni Maria Farinella:
Next-Active-Object prediction from Egocentric Videos. CoRR abs/1904.05250 (2019) - [i57]Ruohan Gao, Kristen Grauman:
Co-Separating Sounds of Visual Objects. CoRR abs/1904.07750 (2019) - [i56]Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman:
Fashion++: Minimal Edits for Outfit Improvement. CoRR abs/1904.09261 (2019) - [i55]Evonne Ng, Donglai Xiang, Hanbyul Joo, Kristen Grauman:
You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions. CoRR abs/1904.09882 (2019) - [i54]Danna Gurari, Yinan Zhao, Suyog Dutt Jain, Margrit Betke, Kristen Grauman:
Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch. CoRR abs/1905.00060 (2019) - [i53]Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman:
Grounded Human-Object Interaction Hotspots from Video (Extended Abstract). CoRR abs/1906.01963 (2019) - [i52]Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman:
Emergence of Exploratory Look-Around Behaviors through Active Observation Completion. CoRR abs/1906.11407 (2019) - [i51]Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani:
Listen to Look: Action Recognition by Previewing Audio. CoRR abs/1912.04487 (2019) - [i50]