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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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Books and Theses
- 2011
[b2]Kristen Grauman, Bastian Leibe
:
Visual Object Recognition. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00425-4- 2006
- [b1]Kristen Grauman:
Matching sets of features for efficient retrieval and recognition. Massachusetts Institute of Technology, Cambridge, MA, USA, 2006
Journal Articles
- 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) - 2022
- [j37]Yu-Chuan Su, Kristen Grauman:
Learning Spherical Convolution for $360^{\circ }$360∘ Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8371-8386 (2022) - 2021
- [j36]Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman:
An Exploration of Embodied Visual Exploration. Int. J. Comput. Vis. 129(5): 1616-1649 (2021) - [j35]Yu-Chuan Su, Kristen Grauman:
Learning Compressible 360$^{\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) - 2020
- [j33]Aron Yu, Kristen Grauman:
Densifying Supervision for Fine-Grained Visual Comparisons. Int. J. Comput. Vis. 128(10): 2704-2730 (2020) - 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) - 2018
- [j27]Chao-Yeh Chen, Kristen Grauman:
Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance. Int. J. Comput. Vis. 126(2-4): 292-313 (2018) - [j26]Danna Gurari, Kun He, Bo Xiong, Jianming Zhang, Mehrnoosh Sameki, Suyog Dutt Jain, Stan Sclaroff, Margrit Betke, Kristen Grauman:
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s). Int. J. Comput. Vis. 126(7): 714-730 (2018) - 2017
- [j25]Dinesh Jayaraman, Kristen Grauman:
Learning Image Representations Tied to Egomotion from Unlabeled Video. Int. J. Comput. Vis. 125(1-3): 136-161 (2017) - [j24]Antonino Furnari, Sebastiano Battiato, Kristen Grauman, Giovanni Maria Farinella:
Next-active-object prediction from egocentric videos. J. Vis. Commun. Image Represent. 49: 401-411 (2017) - [j23]Kristen Grauman, Erik G. Learned-Miller, Antonio Torralba, Andrew Zisserman:
Guest Editorial: Best of CVPR 2015. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 625-626 (2017) - [j22]Chao-Yeh Chen, Kristen Grauman:
Efficient Activity Detection in Untrimmed Video with Max-Subgraph Search. IEEE Trans. Pattern Anal. Mach. Intell. 39(5): 908-921 (2017) - 2016
- [j21]Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman:
Crowdsourcing in Computer Vision. Found. Trends Comput. Graph. Vis. 10(3): 177-243 (2016) - 2015
- [j20]Yong Jae Lee, Kristen Grauman:
Predicting Important Objects for Egocentric Video Summarization. Int. J. Comput. Vis. 114(1): 38-55 (2015) - [j19]Adriana Kovashka, Kristen Grauman:
Discovering Attribute Shades of Meaning with the Crowd. Int. J. Comput. Vis. 114(1): 56-73 (2015) - [j18]Adriana Kovashka, Devi Parikh, Kristen Grauman:
WhittleSearch: Interactive Image Search with Relative Attribute Feedback. Int. J. Comput. Vis. 115(2): 185-210 (2015) - [j17]Jaechul Kim, Kristen Grauman:
Boundary Preserving Dense Local Regions. IEEE Trans. Pattern Anal. Mach. Intell. 37(5): 931-943 (2015) - 2014
- [j16]Kristen Grauman, Serge J. Belongie:
Editorial: Special Issue on Active and Interactive Methods in Computer Vision. Int. J. Comput. Vis. 108(1-2): 1-2 (2014) - [j15]Sudheendra Vijayanarasimhan, Kristen Grauman:
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds. Int. J. Comput. Vis. 108(1-2): 97-114 (2014) - [j14]Boqing Gong, Kristen Grauman, Fei Sha:
Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition. Int. J. Comput. Vis. 109(1-2): 3-27 (2014) - [j13]Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman:
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 276-288 (2014) - 2012
- [j12]Sung Ju Hwang, Kristen Grauman:
Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search. Int. J. Comput. Vis. 100(2): 134-153 (2012) - [j11]Yong Jae Lee, Kristen Grauman:
Object-Graphs for Context-Aware Visual Category Discovery. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 346-358 (2012) - [j10]Brian Kulis, Kristen Grauman:
Kernelized Locality-Sensitive Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1092-1104 (2012) - [j9]Sung Ju Hwang, Kristen Grauman:
Reading between the Lines: Object Localization Using Implicit Cues from Image Tags. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1145-1158 (2012) - 2011
- [j8]Sudheendra Vijayanarasimhan, Kristen Grauman:
Cost-Sensitive Active Visual Category Learning. Int. J. Comput. Vis. 91(1): 24-44 (2011) - 2010
- [j7]Kristen Grauman:
Efficiently searching for similar images. Commun. ACM 53(6): 84-94 (2010) - [j6]Michael S. Ryoo, Kristen Grauman, Jake K. Aggarwal:
A task-driven intelligent workspace system to provide guidance feedback. Comput. Vis. Image Underst. 114(5): 520-534 (2010) - [j5]Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell:
Gaussian Processes for Object Categorization. Int. J. Comput. Vis. 88(2): 169-188 (2010) - 2009
- [j4]Yong Jae Lee, Kristen Grauman:
Foreground Focus: Unsupervised Learning from Partially Matching Images. Int. J. Comput. Vis. 85(2): 143-166 (2009) - [j3]Brian Kulis, Prateek Jain, Kristen Grauman:
Fast Similarity Search for Learned Metrics. IEEE Trans. Pattern Anal. Mach. Intell. 31(12): 2143-2157 (2009) - 2007
- [j2]Kristen Grauman, Trevor Darrell:
The Pyramid Match Kernel: Efficient Learning with Sets of Features. J. Mach. Learn. Res. 8: 725-760 (2007) - 2003
- [j1]Kristen Grauman, Margrit Betke, J. Lombardi, James Gips, Gary R. Bradski:
Communication via eye blinks and eyebrow raises: video-based human-computer interfaces. Univers. Access Inf. Soc. 2(4): 359-373 (2003)
Conference and Workshop Papers
- 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 - 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 - 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 - 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 - 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 - 2018
- [c127]Abigale J. Stangl, Esha Kothari, Suyog Dutt Jain, Tom Yeh, Kristen Grauman, Danna Gurari:
BrowseWithMe: An Online Clothes Shopping Assistant for People with Visual Impairments. ASSETS 2018: 107-118 - [c126]Dinesh Jayaraman, Kristen Grauman:
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks. CVPR 2018: 1238-1247 - [c125]Steven Chen, Kristen Grauman:
Compare and Contrast: Learning Prominent Visual Differences. CVPR 2018: 1267-1276 - [c124]Ruohan Gao, Rogério Schmidt Feris, Kristen Grauman:
Learning to Separate Object Sounds by Watching Unlabeled Video. CVPR Workshops 2018: 2496-2499 - [c123]Yu-Chuan Su, Kristen Grauman:
Learning Compressible 360deg Video Isomers. CVPR Workshops 2018: 2606-2609 - [c122]Danna Gurari, Qing Li, Abigale J. Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, Jeffrey P. Bigham:
VizWiz Grand Challenge: Answering Visual Questions From Blind People. CVPR 2018: 3608-3617 - [c121]Ruohan Gao, Bo Xiong, Kristen Grauman:
Im2Flow: Motion Hallucination From Static Images for Action Recognition. CVPR 2018: 5937-5947 - [c120]Wei-Lin Hsiao, Kristen Grauman:
Creating Capsule Wardrobes From Fashion Images. CVPR 2018: 7161-7170 - [c119]Yu-Chuan Su, Kristen Grauman:
Learning Compressible 360° Video Isomers. CVPR 2018: 7824-7833 - [c118]Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogério Schmidt Feris:
BlockDrop: Dynamic Inference Paths in Residual Networks. CVPR 2018: 8817-8826 - [c117]Bo Xiong, Kristen Grauman:
Snap Angle Prediction for 360 ∘ Panoramas. ECCV (5) 2018: 3-20 - [c116]Ruohan Gao, Rogério Schmidt Feris, Kristen Grauman:
Learning to Separate Object Sounds by Watching Unlabeled Video. ECCV (3) 2018: 36-54 - [c115]Dinesh Jayaraman, Ruohan Gao, Kristen Grauman:
ShapeCodes: Self-supervised Feature Learning by Lifting Views to Viewgrids. ECCV (16) 2018: 126-144 - [c114]Tushar Nagarajan, Kristen Grauman:
Attributes as Operators: Factorizing Unseen Attribute-Object Compositions. ECCV (1) 2018: 172-190 - [c113]Ke Zhang, Kristen Grauman, Fei Sha:
Retrospective Encoders for Video Summarization. ECCV (8) 2018: 391-408 - [c112]Santhosh K. Ramakrishnan, Kristen Grauman:
Sidekick Policy Learning for Active Visual Exploration. ECCV (12) 2018: 424-442 - [c111]Chun-Ju Yang, Kristen Grauman, Danna Gurari:
Visual Question Answer Diversity. HCOMP 2018: 184-192 - 2017
- [c110]Danna Gurari, Kristen Grauman:
CrowdVerge: Predicting If People Will Agree on the Answer to a Visual Question. CHI 2017: 3511-3522 - [c109]Yu-Chuan Su, Kristen Grauman:
Making 360° Video Watchable in 2D: Learning Videography for Click Free Viewing. CVPR 2017: 1368-1376 - [c108]Suyog Dutt Jain, Bo Xiong, Kristen Grauman:
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos. CVPR 2017: 2117-2126 - [c107]Hao Jiang, Kristen Grauman:
Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly. CVPR 2017: 3435-3443 - [c106]Hao Jiang, Kristen Grauman:
Seeing Invisible Poses: Estimating 3D Body Pose from Egocentric Video. CVPR 2017: 3501-3509 - [c105]Ziad Al-Halah, Rainer Stiefelhagen, Kristen Grauman:
Fashion Forward: Forecasting Visual Style in Fashion. ICCV 2017: 388-397 - [c104]Ruohan Gao, Kristen Grauman:
On-demand Learning for Deep Image Restoration. ICCV 2017: 1095-1104 - [c103]Wei-Lin Hsiao, Kristen Grauman:
Learning the Latent "Look": Unsupervised Discovery of a Style-Coherent Embedding from Fashion Images. ICCV 2017: 4213-4222 - [c102]Aron Yu, Kristen Grauman:
Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images. ICCV 2017: 5571-5580 - [c101]Yu-Chuan Su, Kristen Grauman:
Learning Spherical Convolution for Fast Features from 360° Imagery. NIPS 2017: 529-539 - [c100]Yu-Chuan Su, Dinesh Jayaraman, Kristen Grauman:
Pano2Vid: Automatic Cinematography for Watching 360° Videos. WICED@Eurographics 2017: 45 - 2016
- [c99]Yu-Chuan Su, Dinesh Jayaraman, Kristen Grauman:
Pano2Vid: Automatic Cinematography for Watching 360° Videos. ACCV (4) 2016: 154-171 - [c98]Ruohan Gao, Dinesh Jayaraman, Kristen Grauman:
Object-Centric Representation Learning from Unlabeled Videos. ACCV (5) 2016: 248-263 - [c97]Danna Gurari, Suyog Dutt Jain, Margrit Betke, Kristen Grauman:
Pull the Plug? Predicting If Computers or Humans Should Segment Images. CVPR 2016: 382-391 - [c96]Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman:
Summary Transfer: Exemplar-Based Subset Selection for Video Summarization. CVPR 2016: 1059-1067 - [c95]Suyog Dutt Jain, Kristen Grauman:
Active Image Segmentation Propagation. CVPR 2016: 2864-2873 - [c94]Dinesh Jayaraman, Kristen Grauman:
Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video. CVPR 2016: 3852-3861 - [c93]Yu-Chuan Su, Kristen Grauman:
Detecting Engagement in Egocentric Video. ECCV (5) 2016: 454-471 - [c92]Dinesh Jayaraman, Kristen Grauman:
Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion. ECCV (5) 2016: 489-505 - [c91]Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman:
Video Summarization with Long Short-Term Memory. ECCV (7) 2016: 766-782 - [c90]Yu-Chuan Su, Kristen Grauman:
Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video. ECCV (7) 2016: 783-800 - [c89]Suyog Dutt Jain, Kristen Grauman:
Click Carving: Segmenting Objects in Video with Point Clicks. HCOMP 2016: 89-98 - [c88]Bo Xiong, Kristen Grauman:
Text detection in stores using a repetition prior. WACV 2016: 1-9 - 2015
- [c87]Kristen Grauman:
Action and Attention in First-person Vision. BMVC 2015: 91.1 - [c86]Dinesh Jayaraman, Kristen Grauman:
Learning Image Representations Tied to Ego-Motion. ICCV 2015: 1413-1421 - [c85]Aron Yu, Kristen Grauman:
Just Noticeable Differences in Visual Attributes. ICCV 2015: 2416-2424 - [c84]Wei-Lun Chao, Boqing Gong, Kristen Grauman, Fei Sha:
Large-Margin Determinantal Point Processes. UAI 2015: 191-200 - 2014
- [c83]Suyog Dutt Jain, Kristen Grauman:
Which Image Pairs Will Cosegment Well? Predicting Partners for Cosegmentation. ACCV (3) 2014: 175-190 - [c82]Chao-Yeh Chen, Kristen Grauman:
Predicting the Location of "interactees" in Novel Human-Object Interactions. ACCV (1) 2014: 351-367 - [c81]Aron Yu, Kristen Grauman:
Fine-Grained Visual Comparisons with Local Learning. CVPR 2014: 192-199 - [c80]Chao-Yeh Chen, Kristen Grauman:
Inferring Analogous Attributes. CVPR 2014: 200-207 - [c79]Lucy Liang, Kristen Grauman:
Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes. CVPR 2014: 208-215 - [c78]Dinesh Jayaraman, Fei Sha, Kristen Grauman:
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share. CVPR 2014: 1629-1636 - [c77]Chao-Yeh Chen, Kristen Grauman:
Inferring Unseen Views of People. CVPR 2014: 2011-2018 - [c76]Bo Xiong, Kristen Grauman:
Detecting Snap Points in Egocentric Video with a Web Photo Prior. ECCV (5) 2014: 282-298 - [c75]Suyog Dutt Jain, Kristen Grauman:
Supervoxel-Consistent Foreground Propagation in Video. ECCV (4) 2014: 656-671 - [c74]Kristen Grauman, Robert E. Kraut:
Keynote Speakers. HCOMP 2014 - [c73]Aron Yu, Kristen Grauman:
Predicting Useful Neighborhoods for Lazy Local Learning. NIPS 2014: 1916-1924 - [c72]Boqing Gong, Wei-Lun Chao, Kristen Grauman, Fei Sha:
Diverse Sequential Subset Selection for Supervised Video Summarization. NIPS 2014: 2069-2077 - [c71]Dinesh Jayaraman, Kristen Grauman:
Zero-shot recognition with unreliable attributes. NIPS 2014: 3464-3472 - 2013
- [c70]Tomas McCandless, Kristen Grauman:
Object-Centric Spatio-Temporal Pyramids for Egocentric Activity Recognition. BMVC 2013 - [c69]Chao-Yeh Chen, Kristen Grauman:
Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots. CVPR 2013: 572-579 - [c68]Jaechul Kim, Ce Liu, Fei Sha, Kristen Grauman:
Deformable Spatial Pyramid Matching for Fast Dense Correspondences. CVPR 2013: 2307-2314 - [c67]Zheng Lu, Kristen Grauman:
Story-Driven Summarization for Egocentric Video. CVPR 2013: 2714-2721 - [c66]Adriana Kovashka, Kristen Grauman:
Attribute Pivots for Guiding Relevance Feedback in Image Search. ICCV 2013: 297-304 - [c65]Devi Parikh, Kristen Grauman:
Implied Feedback: Learning Nuances of User Behavior in Image Search. ICCV 2013: 745-752 - [c64]Suyog Dutt Jain, Kristen Grauman:
Predicting Sufficient Annotation Strength for Interactive Foreground Segmentation. ICCV 2013: 1313-1320 - [c63]Sunil Bandla, Kristen Grauman:
Active Learning of an Action Detector from Untrimmed Videos. ICCV 2013: 1833-1840 - [c62]Adriana Kovashka, Kristen Grauman:
Attribute Adaptation for Personalized Image Search. ICCV 2013: 3432-3439 - [c61]Boqing Gong, Kristen Grauman, Fei Sha:
Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation. ICML (1) 2013: 222-230 - [c60]Sung Ju Hwang, Kristen Grauman, Fei Sha:
Analogy-preserving Semantic Embedding for Visual Object Categorization. ICML (3) 2013: 639-647 - [c59]Boqing Gong, Kristen Grauman, Fei Sha:
Reshaping Visual Datasets for Domain Adaptation. NIPS 2013: 1286-1294 - [c58]Andy Luong, Michael Gerbush, Brent Waters, Kristen Grauman:
Reconstructing a fragmented face from a cryptographic identification protocol. WACV 2013: 238-245 - 2012
- [c57]Devi Parikh, Adriana Kovashka, Amar Parkash, Kristen Grauman:
Relative Attributes for Enhanced Human-Machine Communication. AAAI 2012: 2153-2159 - [c56]Chao-Yeh Chen, Kristen Grauman:
Efficient activity detection with max-subgraph search. CVPR 2012: 1274-1281 - [c55]Yong Jae Lee, Joydeep Ghosh, Kristen Grauman:
Discovering important people and objects for egocentric video summarization. CVPR 2012: 1346-1353 - [c54]Boqing Gong, Yuan Shi, Fei Sha, Kristen Grauman:
Geodesic flow kernel for unsupervised domain adaptation. CVPR 2012: 2066-2073 - [c53]Adriana Kovashka, Devi Parikh, Kristen Grauman:
WhittleSearch: Image search with relative attribute feedback. CVPR 2012: 2973-2980 - [c52]Kun Duan, Devi Parikh, David J. Crandall, Kristen Grauman:
Discovering localized attributes for fine-grained recognition. CVPR 2012: 3474-3481 - [c51]Jaechul Kim, Kristen Grauman:
Shape Sharing for Object Segmentation. ECCV (7) 2012: 444-458 - [c50]Sudheendra Vijayanarasimhan, Kristen Grauman:
Active Frame Selection for Label Propagation in Videos. ECCV (5) 2012: 496-509 - [c49]Sung Ju Hwang, Kristen Grauman, Fei Sha:
Semantic Kernel Forests from Multiple Taxonomies. NIPS 2012: 1727-1735 - 2011
- [c48]Yong Jae Lee, Kristen Grauman:
Face Discovery with Social Context. BMVC 2011: 1-11 - [c47]Sudheendra Vijayanarasimhan, Kristen Grauman:
Efficient region search for object detection. CVPR 2011: 1401-1408 - [c46]Sudheendra Vijayanarasimhan, Kristen Grauman:
Large-scale live active learning: Training object detectors with crawled data and crowds. CVPR 2011: 1449-1456 - [c45]Jaechul Kim, Kristen Grauman:
Boundary preserving dense local regions. CVPR 2011: 1553-1560 - [c44]Chao-Yeh Chen, Kristen Grauman:
Clues from the beaten path: Location estimation with bursty sequences of tourist photos. CVPR 2011: 1569-1576 - [c43]Devi Parikh, Kristen Grauman:
Interactively building a discriminative vocabulary of nameable attributes. CVPR 2011: 1681-1688 - [c42]Yong Jae Lee, Kristen Grauman:
Learning the easy things first: Self-paced visual category discovery. CVPR 2011: 1721-1728 - [c41]Sung Ju Hwang, Fei Sha, Kristen Grauman:
Sharing features between objects and their attributes. CVPR 2011: 1761-1768 - [c40]Devi Parikh, Kristen Grauman:
Relative attributes. ICCV 2011: 503-510 - [c39]Jeff Donahue, Kristen Grauman:
Annotator rationales for visual recognition. ICCV 2011: 1395-1402 - [c38]Adriana Kovashka, Sudheendra Vijayanarasimhan, Kristen Grauman:
Actively selecting annotations among objects and attributes. ICCV 2011: 1403-1410 - [c37]Yong Jae Lee, Jaechul Kim, Kristen Grauman:
Key-segments for video object segmentation. ICCV 2011: 1995-2002 - [c36]Zhuoliang Kang, Kristen Grauman, Fei Sha:
Learning with Whom to Share in Multi-task Feature Learning. ICML 2011: 521-528 - [c35]Sung Ju Hwang, Kristen Grauman, Fei Sha:
Learning a Tree of Metrics with Disjoint Visual Features. NIPS 2011: 621-629 - 2010
- [c34]Sung Ju Hwang, Kristen Grauman:
Accounting for the Relative Importance of Objects in Image Retrieval. BMVC 2010: 1-12 - [c33]Anush K. Moorthy, Anish Mittal, Sina Jahanbin, Kristen Grauman, Alan C. Bovik:
3D Facial similarity: Automatic assessment versus perceptual judgments. BTAS 2010: 1-7 - [c32]Yong Jae Lee, Kristen Grauman:
Object-graphs for context-aware category discovery. CVPR 2010: 1-8 - [c31]Sudheendra Vijayanarasimhan, Kristen Grauman:
Top-down pairwise potentials for piecing together multi-class segmentation puzzles. CVPR Workshops 2010: 25-32 - [c30]Adriana Kovashka, Kristen Grauman:
Learning a hierarchy of discriminative space-time neighborhood features for human action recognition. CVPR 2010: 2046-2053 - [c29]Jaechul Kim, Kristen Grauman:
Asymmetric region-to-image matching for comparing images with generic object categories. CVPR 2010: 2344-2351 - [c28]Sung Ju Hwang, Kristen Grauman:
Reading between the lines: Object localization using implicit cues from image tags. CVPR 2010: 2971-2978 - [c27]Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman:
Far-sighted active learning on a budget for image and video recognition. CVPR 2010: 3035-3042 - [c26]Yong Jae Lee, Kristen Grauman:
Collect-cut: Segmentation with top-down cues discovered in multi-object images. CVPR 2010: 3185-3192 - [c25]Prateek Jain, Sudheendra Vijayanarasimhan, Kristen Grauman:
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning. NIPS 2010: 928-936 - 2009
- [c24]Yong Jae Lee, Kristen Grauman:
Shape discovery from unlabeled image collections. CVPR 2009: 2254-2261 - [c23]Sudheendra Vijayanarasimhan, Kristen Grauman:
What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations. CVPR 2009: 2262-2269 - [c22]Jaechul Kim, Kristen Grauman:
Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates. CVPR 2009: 2921-2928 - [c21]Brian Kulis, Kristen Grauman:
Kernelized locality-sensitive hashing for scalable image search. ICCV 2009: 2130-2137 - 2008
- [c20]Yong Jae Lee, Kristen Grauman:
Foreground Focus: Finding Meaningful Features in Unlabeled Images. BMVC 2008: 1-10 - [c19]Prateek Jain, Brian Kulis, Kristen Grauman:
Fast image search for learned metrics. CVPR 2008 - [c18]Sudheendra Vijayanarasimhan, Kristen Grauman:
Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization. CVPR 2008 - [c17]Prateek Jain, Brian Kulis, Inderjit S. Dhillon, Kristen Grauman:
Online Metric Learning and Fast Similarity Search. NIPS 2008: 761-768 - [c16]Sudheendra Vijayanarasimhan, Kristen Grauman:
Multi-Level Active Prediction of Useful Image Annotations for Recognition. NIPS 2008: 1705-1712 - [c15]Sonal Gupta, Joohyun Kim, Kristen Grauman, Raymond J. Mooney:
Watch, Listen & Learn: Co-training on Captioned Images and Videos. ECML/PKDD (1) 2008: 457-472 - 2007
- [c14]Kristen Grauman:
The Pyramid Match: Efficient Learning with Partial Correspondences. AAAI 2007: 1632-1636 - [c13]Kristen Grauman, Trevor Darrell:
Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences. CVPR 2007 - [c12]Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell:
Active Learning with Gaussian Processes for Object Categorization. ICCV 2007: 1-8 - 2006
- [c11]Kristen Grauman, Trevor Darrell:
Unsupervised Learning of Categories from Sets of Partially Matching Image Features. CVPR (1) 2006: 19-25 - [c10]Kristen Grauman, Trevor Darrell:
Approximate Correspondences in High Dimensions. NIPS 2006: 505-512 - 2005
- [c9]Tom Yeh, Kristen Grauman, Konrad Tollmar, Trevor Darrell:
A picture is worth a thousand keywords: image-based object search on a mobile platform. CHI Extended Abstracts 2005: 2025-2028 - [c8]Kristen Grauman, Trevor Darrell:
Efficient Image Matching with Distributions of Local Invariant Features. CVPR (2) 2005: 627-634 - [c7]David Demirdjian, Leonid Taycher, Gregory Shakhnarovich, Kristen Grauman, Trevor Darrell:
Avoiding the "Streetlight Effect": Tracking by Exploring Likelihood Modes. ICCV 2005: 357-364 - [c6]Kristen Grauman, Trevor Darrell:
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features. ICCV 2005: 1458-1465 - 2004
- [c5]Kristen Grauman, Trevor Darrell:
Fast Contour Matching Using Approximate Earth Mover's Distance. CVPR (1) 2004: 220-227 - [c4]Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell:
Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes. ECCV Workshop SMVP 2004: 26-37 - 2003
- [c3]Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell:
A Bayesian Approach to Image-Based Visual Hull Reconstruction. CVPR (1) 2003: 187-194 - [c2]Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell:
Inferring 3D Structure with a Statistical Image-Based Shape Model. ICCV 2003: 641-648 - 2001
- [c1]Kristen Grauman, Margrit Betke, James Gips, Gary R. Bradski:
Communication via Eye Blinks - Detection and Duration Analysis in Real Time. CVPR (1) 2001: 1010-1017
Parts in Books or Collections
- 2017
- [p3]Boqing Gong, Kristen Grauman, Fei Sha:
Geodesic Flow Kernel and Landmarks: Kernel Methods for Unsupervised Domain Adaptation. Domain Adaptation in Computer Vision Applications 2017: 59-79 - 2015
- [p2]Bo Xiong, Kristen Grauman:
Intentional Photos from an Unintentional Photographer: Detecting Snap Points in Egocentric Video with a Web Photo Prior. Mobile Cloud Visual Media Computing 2015: 85-111 - 2013
- [p1]Kristen Grauman, Rob Fergus:
Learning Binary Hash Codes for Large-Scale Image Search. Machine Learning for Computer Vision 2013: 49-87
Editorship
- 2018
- [e1]Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett:
Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada. 2018 [contents]
Informal and Other Publications
- 2024
- [i119]Kumar Ashutosh, Zihui Xue, Tushar Nagarajan, Kristen Grauman:
Detours for Navigating Instructional Videos. CoRR abs/2401.01823 (2024) - [i118]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) - 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
- [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
- [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
- [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) - 2019
- [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]Wei-Lin Hsiao, Kristen Grauman:
Dressing for Diverse Body Shapes. CoRR abs/1912.06697 (2019) - [i49]Changan Chen, Unnat Jain, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip W. Robinson, Kristen Grauman:
Audio-Visual Embodied Navigation. CoRR abs/1912.11474 (2019) - 2018
- [i48]Danna Gurari, Qing Li, Abigale J. Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, Jeffrey P. Bigham:
VizWiz Grand Challenge: Answering Visual Questions from Blind People. CoRR abs/1802.08218 (2018) - [i47]Tushar Nagarajan, Kristen Grauman:
Attributes as Operators. CoRR abs/1803.09851 (2018) - [i46]Steven Chen, Kristen Grauman:
Compare and Contrast: Learning Prominent Visual Differences. CoRR abs/1804.00112 (2018) - [i45]Bo Xiong, Kristen Grauman:
Snap Angle Prediction for 360° Panorama. CoRR abs/1804.00126 (2018) - [i44]Ruohan Gao, Rogério Schmidt Feris, Kristen Grauman:
Learning to Separate Object Sounds by Watching Unlabeled Video. CoRR abs/1804.01665 (2018) - [i43]Santhosh K. Ramakrishnan, Kristen Grauman:
Sidekick Policy Learning for Active Visual Exploration. CoRR abs/1807.11010 (2018) - [i42]Bo Xiong, Suyog Dutt Jain, Kristen Grauman:
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos. CoRR abs/1808.04702 (2018) - [i41]Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning through Adaptive Fine-tuning. CoRR abs/1811.08737 (2018) - [i40]Yu-Chuan Su, Kristen Grauman:
Kernel Transformer Networks for Compact Spherical Convolution. CoRR abs/1812.03115 (2018) - [i39]Ruohan Gao, Kristen Grauman:
2.5D Visual Sound. CoRR abs/1812.04204 (2018) - [i38]Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman:
Grounded Human-Object Interaction Hotspots from Video. CoRR abs/1812.04558 (2018) - 2017
- [i37]Suyog Dutt Jain, Bo Xiong, Kristen Grauman:
Pixel Objectness. CoRR abs/1701.05349 (2017) - [i36]Suyog Dutt Jain, Bo Xiong, Kristen Grauman:
FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos. CoRR abs/1701.05384 (2017) - [i35]Yu-Chuan Su, Kristen Grauman:
Making 360° Video Watchable in 2D: Learning Videography for Click Free Viewing. CoRR abs/1703.00495 (2017) - [i34]Danna Gurari, Kun He, Bo Xiong, Jianming Zhang, Mehrnoosh Sameki, Suyog Dutt Jain, Stan Sclaroff, Margrit Betke, Kristen Grauman:
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s). CoRR abs/1705.00366 (2017) - [i33]Ziad Al-Halah, Rainer Stiefelhagen, Kristen Grauman:
Fashion Forward: Forecasting Visual Style in Fashion. CoRR abs/1705.06394 (2017) - [i32]Wei-Lin Hsiao, Kristen Grauman:
Learning the Latent "Look": Unsupervised Discovery of a Style-Coherent Embedding from Fashion Images. CoRR abs/1707.03376 (2017) - [i31]Yu-Chuan Su, Kristen Grauman:
Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery. CoRR abs/1708.00919 (2017) - [i30]Dinesh Jayaraman, Ruohan Gao, Kristen Grauman:
Unsupervised learning through one-shot image-based shape reconstruction. CoRR abs/1709.00505 (2017) - [i29]Dinesh Jayaraman, Kristen Grauman:
Learning to look around. CoRR abs/1709.00507 (2017) - [i28]Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogério Schmidt Feris:
BlockDrop: Dynamic Inference Paths in Residual Networks. CoRR abs/1711.08393 (2017) - [i27]Wei-Lin Hsiao, Kristen Grauman:
Creating Capsule Wardrobes from Fashion Images. CoRR abs/1712.02662 (2017) - [i26]Yu-Chuan Su, Kristen Grauman:
Learning Compressible 360° Video Isomers. CoRR abs/1712.04083 (2017) - [i25]Ruohan Gao, Bo Xiong, Kristen Grauman:
Im2Flow: Motion Hallucination from Static Images for Action Recognition. CoRR abs/1712.04109 (2017) - 2016
- [i24]Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman:
Summary Transfer: Exemplar-based Subset Selection for Video Summarization. CoRR abs/1603.03369 (2016) - [i23]Hao Jiang, Kristen Grauman:
Seeing Invisible Poses: Estimating 3D Body Pose from Egocentric Video. CoRR abs/1603.07763 (2016) - [i22]Yu-Chuan Su, Kristen Grauman:
Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video. CoRR abs/1604.00427 (2016) - [i21]Yu-Chuan Su, Kristen Grauman:
Detecting Engagement in Egocentric Video. CoRR abs/1604.00906 (2016) - [i20]Jason J. Corso, Alexandre Alahi, Kristen Grauman, Gregory D. Hager, Louis-Philippe Morency, Harpreet S. Sawhney, Yaser Sheikh:
Video Analysis for Body-worn Cameras in Law Enforcement. CoRR abs/1604.03130 (2016) - [i19]Hao Jiang, Kristen Grauman:
Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly. CoRR abs/1604.03880 (2016) - [i18]Chao-Yeh Chen, Kristen Grauman:
Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance. CoRR abs/1604.04842 (2016) - [i17]Dinesh Jayaraman, Kristen Grauman:
Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion. CoRR abs/1605.00164 (2016) - [i16]Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman:
Video Summarization with Long Short-term Memory. CoRR abs/1605.08110 (2016) - [i15]Suyog Dutt Jain, Kristen Grauman:
Click Carving: Segmenting Objects in Video with Point Clicks. CoRR abs/1607.01115 (2016) - [i14]Chao-Yeh Chen, Kristen Grauman:
Efficient Activity Detection in Untrimmed Video with Max-Subgraph Search. CoRR abs/1607.02815 (2016) - [i13]Danna Gurari, Kristen Grauman:
Visual Question: Predicting If a Crowd Will Agree on the Answer. CoRR abs/1608.08188 (2016) - [i12]Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman:
Crowdsourcing in Computer Vision. CoRR abs/1611.02145 (2016) - [i11]Ruohan Gao, Dinesh Jayaraman, Kristen Grauman:
Object-Centric Representation Learning from Unlabeled Videos. CoRR abs/1612.00500 (2016) - [i10]Ruohan Gao, Kristen Grauman:
From One-Trick Ponies to All-Rounders: On-Demand Learning for Image Restoration. CoRR abs/1612.01380 (2016) - [i9]Yu-Chuan Su, Dinesh Jayaraman, Kristen Grauman:
Pano2Vid: Automatic Cinematography for Watching 360° Videos. CoRR abs/1612.02335 (2016) - [i8]Aron Yu, Kristen Grauman:
Dense Supervision for Visual Comparisons via Synthetic Images. CoRR abs/1612.06341 (2016) - 2015
- [i7]Dinesh Jayaraman, Kristen Grauman:
Learning image representations equivariant to ego-motion. CoRR abs/1505.02206 (2015) - [i6]Adriana Kovashka, Kristen Grauman:
Discovering Attribute Shades of Meaning with the Crowd. CoRR abs/1505.04117 (2015) - [i5]Adriana Kovashka, Devi Parikh, Kristen Grauman:
WhittleSearch: Interactive Image Search with Relative Attribute Feedback. CoRR abs/1505.04141 (2015) - [i4]Yong Jae Lee, Kristen Grauman:
Predicting Important Objects for Egocentric Video Summarization. CoRR abs/1505.04803 (2015) - [i3]Dinesh Jayaraman, Kristen Grauman:
Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video. CoRR abs/1506.04714 (2015) - 2014
- [i2]Dinesh Jayaraman, Kristen Grauman:
Zero Shot Recognition with Unreliable Attributes. CoRR abs/1409.4327 (2014) - [i1]Boqing Gong, Wei-Lun Chao, Kristen Grauman, Fei Sha:
Large-Margin Determinantal Point Processes. CoRR abs/1411.1537 (2014)
Coauthor Index
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