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ORCIDKristen Grauman
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- affiliation: University of Texas at Austin, USA
- award (2013): Presidential Early Career Award for Scientists and Engineers
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2020 – today
- 2021
[i79]Ruohan Gao, Kristen Grauman:
VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency. CoRR abs/2101.03149 (2021)- [i78]Wei-Lin Hsiao, Kristen Grauman:
From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images. CoRR abs/2102.01690 (2021) - [i77]Santhosh K. Ramakrishnan, Tushar Nagarajan, Ziad Al-Halah, Kristen Grauman:
Environment Predictive Coding for Embodied Agents. CoRR abs/2102.02337 (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 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 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]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 Robinson, Kristen Grauman:
Audio-Visual Embodied Navigation. CoRR abs/1912.11474 (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) - [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 - [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] - [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
- [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) - [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 - [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 - [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
- [j21]Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman:
Crowdsourcing in Computer Vision. Found. Trends Comput. Graph. Vis. 10(3): 177-243 (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 - [i24]