Communication via Eye Blinks - Detection and Duration Analysis in Real Time. - Kristen Grauman; Margrit Betke; James Gips; Gary R. Bradski (CVPR (1), 2001)

A Bayesian Approach to Image-Based Visual Hull Reconstruction. - Kristen Grauman; Gregory Shakhnarovich; Trevor Darrell (CVPR (1), 2003)

Inferring 3D Structure with a Statistical Image-Based Shape Model. - Kristen Grauman; Gregory Shakhnarovich; Trevor Darrell (ICCV, 2003)

Communication via eye blinks and eyebrow raises: video-based human-computer interfaces. - Kristen Grauman; Margrit Betke; J. Lombardi; James Gips; Gary R. Bradski (Univers. Access Inf. Soc., 2003)

Fast Contour Matching Using Approximate Earth Mover's Distance. - Kristen Grauman; Trevor Darrell (CVPR (1), 2004)

Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes. - Kristen Grauman; Gregory Shakhnarovich; Trevor Darrell (ECCV Workshop SMVP, 2004)

A picture is worth a thousand keywords: image-based object search on a mobile platform. - Tom Yeh; Kristen Grauman; Konrad Tollmar; Trevor Darrell (CHI Extended Abstracts, 2005)

Efficient Image Matching with Distributions of Local Invariant Features. - Kristen Grauman; Trevor Darrell (CVPR (2), 2005)

Avoiding the "Streetlight Effect": Tracking by Exploring Likelihood Modes. - David Demirdjian; Leonid Taycher; Gregory Shakhnarovich; Kristen Grauman; Trevor Darrell (ICCV, 2005)

The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features. - Kristen Grauman; Trevor Darrell (ICCV, 2005)

Unsupervised Learning of Categories from Sets of Partially Matching Image Features. - Kristen Grauman; Trevor Darrell (CVPR (1), 2006)

Approximate Correspondences in High Dimensions. - Kristen Grauman; Trevor Darrell (NIPS, 2006)

Matching sets of features for efficient retrieval and recognition. - Kristen Grauman (2006)

The Pyramid Match: Efficient Learning with Partial Correspondences. - Kristen Grauman (AAAI, 2007)

Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences. - Kristen Grauman; Trevor Darrell (CVPR, 2007)

Active Learning with Gaussian Processes for Object Categorization. - Ashish Kapoor; Kristen Grauman; Raquel Urtasun; Trevor Darrell (ICCV, 2007)

The Pyramid Match Kernel: Efficient Learning with Sets of Features. - Kristen Grauman; Trevor Darrell (J. Mach. Learn. Res., 2007)

Foreground Focus: Finding Meaningful Features in Unlabeled Images. - Yong Jae Lee; Kristen Grauman (BMVC, 2008)

Fast image search for learned metrics. - Prateek Jain 002; Brian Kulis; Kristen Grauman (CVPR, 2008)

Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization. - Sudheendra Vijayanarasimhan; Kristen Grauman (CVPR, 2008)

Online Metric Learning and Fast Similarity Search. - Prateek Jain 002; Brian Kulis; Inderjit S. Dhillon; Kristen Grauman (NIPS, 2008)

Multi-Level Active Prediction of Useful Image Annotations for Recognition. - Sudheendra Vijayanarasimhan; Kristen Grauman (NIPS, 2008)

Watch, Listen & Learn: Co-training on Captioned Images and Videos. - Sonal Gupta; Joohyun Kim 002; Kristen Grauman; Raymond J. Mooney (ECML/PKDD (1), 2008)

Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates. - Jaechul Kim; Kristen Grauman (CVPR, 2009)

Shape discovery from unlabeled image collections. - Yong Jae Lee; Kristen Grauman (CVPR, 2009)

What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations. - Sudheendra Vijayanarasimhan; Kristen Grauman (CVPR, 2009)

Kernelized locality-sensitive hashing for scalable image search. - Brian Kulis; Kristen Grauman (ICCV, 2009)

Foreground Focus: Unsupervised Learning from Partially Matching Images. - Yong Jae Lee; Kristen Grauman (Int. J. Comput. Vis., 2009)

Fast Similarity Search for Learned Metrics. - Brian Kulis; Prateek Jain 002; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Accounting for the Relative Importance of Objects in Image Retrieval. - Sung Ju Hwang; Kristen Grauman (BMVC, 2010)

3D Facial similarity: Automatic assessment versus perceptual judgments. - Anush K. Moorthy; Anish Mittal; Sina Jahanbin; Kristen Grauman; Alan C. Bovik (BTAS, 2010)

Asymmetric region-to-image matching for comparing images with generic object categories. - Jaechul Kim; Kristen Grauman (CVPR, 2010)

Learning a hierarchy of discriminative space-time neighborhood features for human action recognition. - Adriana Kovashka; Kristen Grauman (CVPR, 2010)

Object-graphs for context-aware category discovery. - Yong Jae Lee; Kristen Grauman (CVPR, 2010)

Collect-cut: Segmentation with top-down cues discovered in multi-object images. - Yong Jae Lee; Kristen Grauman (CVPR, 2010)

Top-down pairwise potentials for piecing together multi-class segmentation puzzles. - Sudheendra Vijayanarasimhan; Kristen Grauman (CVPR Workshops, 2010)

Far-sighted active learning on a budget for image and video recognition. - Sudheendra Vijayanarasimhan; Prateek Jain 002; Kristen Grauman (CVPR, 2010)

Efficiently searching for similar images. - Kristen Grauman (Commun. ACM, 2010)

A task-driven intelligent workspace system to provide guidance feedback. - Michael S. Ryoo; Kristen Grauman; Jake K. Aggarwal (Comput. Vis. Image Underst., 2010)

Gaussian Processes for Object Categorization. - Ashish Kapoor; Kristen Grauman; Raquel Urtasun; Trevor Darrell (Int. J. Comput. Vis., 2010)

Face Discovery with Social Context. - Yong Jae Lee; Kristen Grauman (BMVC, 2011)

Clues from the beaten path: Location estimation with bursty sequences of tourist photos. - Chao-Yeh Chen; Kristen Grauman (CVPR, 2011)

Sharing features between objects and their attributes. - Sung Ju Hwang; Fei Sha; Kristen Grauman (CVPR, 2011)

Learning the easy things first: Self-paced visual category discovery. - Yong Jae Lee; Kristen Grauman (CVPR, 2011)

Interactively building a discriminative vocabulary of nameable attributes. - Devi Parikh; Kristen Grauman (CVPR, 2011)

Efficient region search for object detection. - Sudheendra Vijayanarasimhan; Kristen Grauman (CVPR, 2011)

Annotator rationales for visual recognition. - Jeff Donahue; Kristen Grauman (ICCV, 2011)

Actively selecting annotations among objects and attributes. - Adriana Kovashka; Sudheendra Vijayanarasimhan; Kristen Grauman (ICCV, 2011)

Key-segments for video object segmentation. - Yong Jae Lee; Jaechul Kim; Kristen Grauman (ICCV, 2011)

Relative attributes. - Devi Parikh; Kristen Grauman (ICCV, 2011)

Learning with Whom to Share in Multi-task Feature Learning. - Zhuoliang Kang; Kristen Grauman; Fei Sha (ICML, 2011)

Learning a Tree of Metrics with Disjoint Visual Features. - Sung Ju Hwang; Kristen Grauman; Fei Sha (NIPS, 2011)

Cost-Sensitive Active Visual Category Learning. - Sudheendra Vijayanarasimhan; Kristen Grauman (Int. J. Comput. Vis., 2011)

Visual Object Recognition - Kristen Grauman; Bastian Leibe (Morgan & Claypool Publishers, 2011)

Relative Attributes for Enhanced Human-Machine Communication. - Devi Parikh; Adriana Kovashka; Amar Parkash; Kristen Grauman (AAAI, 2012)

Efficient activity detection with max-subgraph search. - Chao-Yeh Chen; Kristen Grauman (CVPR, 2012)

Discovering localized attributes for fine-grained recognition. - Kun Duan; Devi Parikh; David J. Crandall; Kristen Grauman (CVPR, 2012)

Geodesic flow kernel for unsupervised domain adaptation. - Boqing Gong; Yuan Shi; Fei Sha; Kristen Grauman (CVPR, 2012)

WhittleSearch: Image search with relative attribute feedback. - Adriana Kovashka; Devi Parikh; Kristen Grauman (CVPR, 2012)

Discovering important people and objects for egocentric video summarization. - Yong Jae Lee; Joydeep Ghosh; Kristen Grauman (CVPR, 2012)

Shape Sharing for Object Segmentation. - Jaechul Kim; Kristen Grauman (ECCV (7), 2012)

Active Frame Selection for Label Propagation in Videos. - Sudheendra Vijayanarasimhan; Kristen Grauman (ECCV (5), 2012)

Semantic Kernel Forests from Multiple Taxonomies. - Sung Ju Hwang; Kristen Grauman; Fei Sha (NIPS, 2012)

Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search. - Sung Ju Hwang; Kristen Grauman (Int. J. Comput. Vis., 2012)

Reading between the Lines: Object Localization Using Implicit Cues from Image Tags. - Sung Ju Hwang; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Kernelized Locality-Sensitive Hashing. - Brian Kulis; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Object-Graphs for Context-Aware Visual Category Discovery. - Yong Jae Lee; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Object-Centric Spatio-Temporal Pyramids for Egocentric Activity Recognition. - Tomas McCandless; Kristen Grauman (BMVC, 2013)

Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots. - Chao-Yeh Chen; Kristen Grauman (CVPR, 2013)

Deformable Spatial Pyramid Matching for Fast Dense Correspondences. - Jaechul Kim; Ce Liu 001; Fei Sha; Kristen Grauman (CVPR, 2013)

Story-Driven Summarization for Egocentric Video. - Zheng Lu 002; Kristen Grauman (CVPR, 2013)

Active Learning of an Action Detector from Untrimmed Videos. - Sunil Bandla; Kristen Grauman (ICCV, 2013)

Predicting Sufficient Annotation Strength for Interactive Foreground Segmentation. - Suyog Dutt Jain; Kristen Grauman (ICCV, 2013)

Attribute Pivots for Guiding Relevance Feedback in Image Search. - Adriana Kovashka; Kristen Grauman (ICCV, 2013)

Attribute Adaptation for Personalized Image Search. - Adriana Kovashka; Kristen Grauman (ICCV, 2013)

Implied Feedback: Learning Nuances of User Behavior in Image Search. - Devi Parikh; Kristen Grauman (ICCV, 2013)

Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation. - Boqing Gong; Kristen Grauman; Fei Sha (ICML (1), 2013)

Analogy-preserving Semantic Embedding for Visual Object Categorization. - Sung Ju Hwang; Kristen Grauman; Fei Sha (ICML (3), 2013)

Reshaping Visual Datasets for Domain Adaptation. - Boqing Gong; Kristen Grauman; Fei Sha (NIPS, 2013)

Reconstructing a fragmented face from a cryptographic identification protocol. - Andy Luong; Michael Gerbush; Brent Waters; Kristen Grauman (WACV, 2013)

Learning Binary Hash Codes for Large-Scale Image Search. - Kristen Grauman; Rob Fergus (Machine Learning for Computer Vision, 2013)

Predicting the Location of "interactees" in Novel Human-Object Interactions. - Chao-Yeh Chen; Kristen Grauman (ACCV (1), 2014)

Which Image Pairs Will Cosegment Well? Predicting Partners for Cosegmentation. - Suyog Dutt Jain; Kristen Grauman (ACCV (3), 2014)

Inferring Analogous Attributes. - Chao-Yeh Chen; Kristen Grauman (CVPR, 2014)

Inferring Unseen Views of People. - Chao-Yeh Chen; Kristen Grauman (CVPR, 2014)

Decorrelating Semantic Visual Attributes by Resisting the Urge to Share. - Dinesh Jayaraman; Fei Sha; Kristen Grauman (CVPR, 2014)

Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes. - Lucy Liang; Kristen Grauman (CVPR, 2014)

Fine-Grained Visual Comparisons with Local Learning. - Aron Yu; Kristen Grauman (CVPR, 2014)

Supervoxel-Consistent Foreground Propagation in Video. - Suyog Dutt Jain; Kristen Grauman (ECCV (4), 2014)

Detecting Snap Points in Egocentric Video with a Web Photo Prior. - Bo Xiong; Kristen Grauman (ECCV (5), 2014)

Keynote Speakers. - Kristen Grauman; Robert E. Kraut (HCOMP, 2014)

Diverse Sequential Subset Selection for Supervised Video Summarization. - Boqing Gong; Wei-Lun Chao; Kristen Grauman; Fei Sha (NIPS, 2014)

Zero-shot recognition with unreliable attributes. - Dinesh Jayaraman; Kristen Grauman (NIPS, 2014)

Predicting Useful Neighborhoods for Lazy Local Learning. - Aron Yu; Kristen Grauman (NIPS, 2014)

Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition. - Boqing Gong; Kristen Grauman; Fei Sha (Int. J. Comput. Vis., 2014)

Editorial: Special Issue on Active and Interactive Methods in Computer Vision. - Kristen Grauman; Serge J. Belongie (Int. J. Comput. Vis., 2014)

Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds. - Sudheendra Vijayanarasimhan; Kristen Grauman (Int. J. Comput. Vis., 2014)

Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning. - Sudheendra Vijayanarasimhan; Prateek Jain 002; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Intentional Photos from an Unintentional Photographer: Detecting Snap Points in Egocentric Video with a Web Photo Prior. - Bo Xiong; Kristen Grauman (Mobile Cloud Visual Media Computing, 2015)

Action and Attention in First-person Vision. - Kristen Grauman (BMVC, 2015)

Learning Image Representations Tied to Ego-Motion. - Dinesh Jayaraman; Kristen Grauman (ICCV, 2015)

Just Noticeable Differences in Visual Attributes. - Aron Yu; Kristen Grauman (ICCV, 2015)

Large-Margin Determinantal Point Processes. - Wei-Lun Chao; Boqing Gong; Kristen Grauman; Fei Sha (UAI, 2015)

Learning image representations equivariant to ego-motion. - Dinesh Jayaraman; Kristen Grauman (CoRR, 2015)

Discovering Attribute Shades of Meaning with the Crowd. - Adriana Kovashka; Kristen Grauman (Int. J. Comput. Vis., 2015)

WhittleSearch: Interactive Image Search with Relative Attribute Feedback. - Adriana Kovashka; Devi Parikh; Kristen Grauman (Int. J. Comput. Vis., 2015)

Predicting Important Objects for Egocentric Video Summarization. - Yong Jae Lee; Kristen Grauman (Int. J. Comput. Vis., 2015)

Boundary Preserving Dense Local Regions. - Jaechul Kim; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Object-Centric Representation Learning from Unlabeled Videos. - Ruohan Gao; Dinesh Jayaraman; Kristen Grauman (ACCV (5), 2016)

Pull the Plug? Predicting If Computers or Humans Should Segment Images. - Danna Gurari; Suyog Dutt Jain; Margrit Betke; Kristen Grauman (CVPR, 2016)

Active Image Segmentation Propagation. - Suyog Dutt Jain; Kristen Grauman (CVPR, 2016)

Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video. - Dinesh Jayaraman; Kristen Grauman (CVPR, 2016)

Summary Transfer: Exemplar-Based Subset Selection for Video Summarization. - Ke Zhang 028; Wei-Lun Chao; Fei Sha; Kristen Grauman (CVPR, 2016)

Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion. - Dinesh Jayaraman; Kristen Grauman (ECCV (5), 2016)

Detecting Engagement in Egocentric Video. - Yu-Chuan Su; Kristen Grauman (ECCV (5), 2016)

Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video. - Yu-Chuan Su; Kristen Grauman (ECCV (7), 2016)

Video Summarization with Long Short-Term Memory. - Ke Zhang 028; Wei-Lun Chao; Fei Sha; Kristen Grauman (ECCV (7), 2016)

Click Carving: Segmenting Objects in Video with Point Clicks. - Suyog Dutt Jain; Kristen Grauman (HCOMP, 2016)

Text detection in stores using a repetition prior. - Bo Xiong; Kristen Grauman (WACV, 2016)

Video Analysis for Body-worn Cameras in Law Enforcement. - Jason J. Corso; Alexandre Alahi; Kristen Grauman; Gregory D. Hager; Louis-Philippe Morency; Harpreet S. Sawhney; Yaser Sheikh (CoRR, 2016)

From One-Trick Ponies to All-Rounders: On-Demand Learning for Image Restoration. - Ruohan Gao; Kristen Grauman (CoRR, 2016)

Visual Question: Predicting If a Crowd Will Agree on the Answer. - Danna Gurari; Kristen Grauman (CoRR, 2016)

Dense Supervision for Visual Comparisons via Synthetic Images. - Aron Yu; Kristen Grauman (CoRR, 2016)

Crowdsourcing in Computer Vision. - Adriana Kovashka; Olga Russakovsky; Li Fei-Fei 001; Kristen Grauman (Found. Trends Comput. Graph. Vis., 2016)

CrowdVerge: Predicting If People Will Agree on the Answer to a Visual Question. - Danna Gurari; Kristen Grauman (CHI, 2017)

FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos. - Suyog Dutt Jain; Bo Xiong; Kristen Grauman (CVPR, 2017)

Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly. - Hao Jiang 007; Kristen Grauman (CVPR, 2017)

Seeing Invisible Poses: Estimating 3D Body Pose from Egocentric Video. - Hao Jiang 007; Kristen Grauman (CVPR, 2017)

Making 360° Video Watchable in 2D: Learning Videography for Click Free Viewing. - Yu-Chuan Su; Kristen Grauman (CVPR, 2017)

Fashion Forward: Forecasting Visual Style in Fashion. - Ziad Al-Halah; Rainer Stiefelhagen; Kristen Grauman (ICCV, 2017)

On-demand Learning for Deep Image Restoration. - Ruohan Gao; Kristen Grauman (ICCV, 2017)

Learning the Latent "Look": Unsupervised Discovery of a Style-Coherent Embedding from Fashion Images. - Wei-Lin Hsiao; Kristen Grauman (ICCV, 2017)

Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images. - Aron Yu; Kristen Grauman (ICCV, 2017)

Learning Spherical Convolution for Fast Features from 360° Imagery. - Yu-Chuan Su; Kristen Grauman (NIPS, 2017)

Pano2Vid: Automatic Cinematography for Watching 360° Videos. - Yu-Chuan Su; Dinesh Jayaraman; Kristen Grauman (WICED@Eurographics, 2017)

Pixel Objectness. - Suyog Dutt Jain; Bo Xiong; Kristen Grauman (CoRR, 2017)

FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos. - Suyog Dutt Jain; Bo Xiong; Kristen Grauman (CoRR, 2017)

Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery. - Yu-Chuan Su; Kristen Grauman (CoRR, 2017)

Unsupervised learning through one-shot image-based shape reconstruction. - Dinesh Jayaraman; Ruohan Gao; Kristen Grauman (CoRR, 2017)

Learning to look around. - Dinesh Jayaraman; Kristen Grauman (CoRR, 2017)

Learning Image Representations Tied to Egomotion from Unlabeled Video. - Dinesh Jayaraman; Kristen Grauman (Int. J. Comput. Vis., 2017)

Next-active-object prediction from egocentric videos. - Antonino Furnari; Sebastiano Battiato; Kristen Grauman; Giovanni Maria Farinella (J. Vis. Commun. Image Represent., 2017)

Efficient Activity Detection in Untrimmed Video with Max-Subgraph Search. - Chao-Yeh Chen; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Guest Editorial: Best of CVPR 2015. - Kristen Grauman; Erik G. Learned-Miller; Antonio Torralba 001; Andrew Zisserman (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Geodesic Flow Kernel and Landmarks: Kernel Methods for Unsupervised Domain Adaptation. - Boqing Gong; Kristen Grauman; Fei Sha (Domain Adaptation in Computer Vision Applications, 2017)

BrowseWithMe: An Online Clothes Shopping Assistant for People with Visual Impairments. - Abigale J. Stangl; Esha Kothari; Suyog Dutt Jain; Tom Yeh; Kristen Grauman; Danna Gurari (ASSETS, 2018)

Compare and Contrast: Learning Prominent Visual Differences. - Steven Chen; Kristen Grauman (CVPR, 2018)

Learning to Separate Object Sounds by Watching Unlabeled Video. - Ruohan Gao; Rogério Schmidt Feris; Kristen Grauman (CVPR Workshops, 2018)

Im2Flow: Motion Hallucination From Static Images for Action Recognition. - Ruohan Gao; Bo Xiong; Kristen Grauman (CVPR, 2018)

VizWiz Grand Challenge: Answering Visual Questions From Blind People. - Danna Gurari; Qing Li 003; Abigale J. Stangl; Anhong Guo; Chi Lin 001; Kristen Grauman; Jiebo Luo 001; Jeffrey P. Bigham (CVPR, 2018)

Creating Capsule Wardrobes From Fashion Images. - Wei-Lin Hsiao; Kristen Grauman (CVPR, 2018)

Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks. - Dinesh Jayaraman; Kristen Grauman (CVPR, 2018)

Learning Compressible 360° Video Isomers. - Yu-Chuan Su; Kristen Grauman (CVPR, 2018)

Learning Compressible 360deg Video Isomers. - Yu-Chuan Su; Kristen Grauman (CVPR Workshops, 2018)

BlockDrop: Dynamic Inference Paths in Residual Networks. - Zuxuan Wu; Tushar Nagarajan; Abhishek Kumar 001; Steven Rennie; Larry S. Davis; Kristen Grauman; Rogério Schmidt Feris (CVPR, 2018)

ShapeCodes: Self-supervised Feature Learning by Lifting Views to Viewgrids. - Dinesh Jayaraman; Ruohan Gao; Kristen Grauman (ECCV (16), 2018)

Attributes as Operators: Factorizing Unseen Attribute-Object Compositions. - Tushar Nagarajan; Kristen Grauman (ECCV (1), 2018)

Sidekick Policy Learning for Active Visual Exploration. - Santhosh K. Ramakrishnan; Kristen Grauman (ECCV (12), 2018)

Snap Angle Prediction for 360 ∘ Panoramas. - Bo Xiong; Kristen Grauman (ECCV (5), 2018)

Retrospective Encoders for Video Summarization. - Ke Zhang 028; Kristen Grauman; Fei Sha (ECCV (8), 2018)

Visual Question Answer Diversity. - Chun-Ju Yang; Kristen Grauman; Danna Gurari (HCOMP, 2018)

Attributes as Operators. - Tushar Nagarajan; Kristen Grauman (CoRR, 2018)

Snap Angle Prediction for 360° Panorama. - Bo Xiong; Kristen Grauman (CoRR, 2018)

Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance. - Chao-Yeh Chen; Kristen Grauman (Int. J. Comput. Vis., 2018)

Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s). - Danna Gurari; Kun He 003; Bo Xiong; Jianming Zhang 001; Mehrnoosh Sameki; Suyog Dutt Jain; Stan Sclaroff; Margrit Betke; Kristen Grauman (Int. J. Comput. Vis., 2018)

2.5D Visual Sound. - Ruohan Gao; Kristen Grauman (CVPR, 2019)

SpotTune: Transfer Learning Through Adaptive Fine-Tuning. - Yunhui Guo; Honghui Shi; Abhishek Kumar 001; Kristen Grauman; Tajana Rosing; Rogério Schmidt Feris (CVPR, 2019)

Kernel Transformer Networks for Compact Spherical Convolution. - Yu-Chuan Su; Kristen Grauman (CVPR Workshops, 2019)

Less Is More: Learning Highlight Detection From Video Duration. - Bo Xiong; Yannis Kalantidis; Deepti Ghadiyaram; Kristen Grauman (CVPR, 2019)

Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion. - Zhenpei Yang; Jeffrey Z. Pan; Linjie Luo; Xiaowei Zhou 001; Kristen Grauman; Qixing Huang (CVPR, 2019)

Thinking Outside the Pool: Active Training Image Creation for Relative Attributes. - Aron Yu; Kristen Grauman (CVPR, 2019)

Co-Separating Sounds of Visual Objects. - Ruohan Gao; Kristen Grauman (ICCV, 2019)

Fashion++: Minimal Edits for Outfit Improvement. - Wei-Lin Hsiao; Isay Katsman; Chao-Yuan Wu; Devi Parikh; Kristen Grauman (ICCV, 2019)

Grounded Human-Object Interaction Hotspots From Video. - Tushar Nagarajan; Christoph Feichtenhofer; Kristen Grauman (ICCV, 2019)

Grounded Human-Object Interaction Hotspots from Video (Extended Abstract). - Tushar Nagarajan; Christoph Feichtenhofer; Kristen Grauman (CoRR, 2019)

Dressing for Diverse Body Shapes. - Wei-Lin Hsiao; Kristen Grauman (CoRR, 2019)

Audio-Visual Embodied Navigation. - Changan Chen; Unnat Jain; Carl Schissler; Sebastià Vicenc Amengual Garí; Ziad Al-Halah; Vamsi Krishna Ithapu; Philip W. Robinson; Kristen Grauman (CoRR, 2019)

Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch. - Danna Gurari; Yinan Zhao; Suyog Dutt Jain; Margrit Betke; Kristen Grauman (Int. J. Comput. Vis., 2019)

Click Carving: Interactive Object Segmentation in Images and Videos with Point Clicks. - Suyog Dutt Jain; Kristen Grauman (Int. J. Comput. Vis., 2019)

End-to-End Policy Learning for Active Visual Categorization. - Dinesh Jayaraman; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos. - Bo Xiong; Suyog Dutt Jain; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Emergence of exploratory look-around behaviors through active observation completion. - Santhosh K. Ramakrishnan; Dinesh Jayaraman; Kristen Grauman (Sci. Robotics, 2019)

From Paris to Berlin: Discovering Fashion Style Influences Around the World. - Ziad Al-Halah; Kristen Grauman (CVPR, 2020)

Listen to Look: Action Recognition by Previewing Audio. - Ruohan Gao; Tae-Hyun Oh; Kristen Grauman; Lorenzo Torresani (CVPR, 2020)

ViBE: Dressing for Diverse Body Shapes. - Wei-Lin Hsiao; Kristen Grauman (CVPR, 2020)

Ego-Topo: Environment Affordances From Egocentric Video. - Tushar Nagarajan; Yanghao Li; Christoph Feichtenhofer; Kristen Grauman (CVPR, 2020)

You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions. - Evonne Ng; Donglai Xiang; Hanbyul Joo; Kristen Grauman (CVPR, 2020)

Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. - Krishna Kumar Singh; Dhruv Mahajan 001; Kristen Grauman; Yong Jae Lee; Matt Feiszli; Deepti Ghadiyaram (CVPR, 2020)

SoundSpaces: Audio-Visual Navigation in 3D Environments. - Changan Chen; Unnat Jain; Carl Schissler; Sebastià Vicenc Amengual Garí; Ziad Al-Halah; Vamsi Krishna Ithapu; Philip W. Robinson; Kristen Grauman (ECCV (6), 2020)

VisualEchoes: Spatial Image Representation Learning Through Echolocation. - Ruohan Gao; Changan Chen; Ziad Al-Halah; Carl Schissler; Kristen Grauman (ECCV (9), 2020)

Proposal-Based Video Completion. - Yuan-Ting Hu; Heng Wang; Nicolas Ballas; Kristen Grauman; Alexander G. Schwing (ECCV (27), 2020)

Occupancy Anticipation for Efficient Exploration and Navigation. - Santhosh K. Ramakrishnan; Ziad Al-Halah; Kristen Grauman (ECCV (5), 2020)

Learning Affordance Landscapes for Interaction Exploration in 3D Environments. - Tushar Nagarajan; Kristen Grauman (NeurIPS, 2020)

Computer Vision for Fashion: From Individual Recommendations to World-wide Trends. - Kristen Grauman (WSDM, 2020)

Audiovisual SlowFast Networks for Video Recognition. - Fanyi Xiao; Yong Jae Lee; Kristen Grauman; Jitendra Malik; Christoph Feichtenhofer (CoRR, 2020)

Learning Patterns of Tourist Movement and Photography from Geotagged Photos at Archaeological Heritage Sites in Cuzco, Peru. - Nicole D. Payntar; Wei-Lin Hsiao; R. Alan Covey; Kristen Grauman (CoRR, 2020)

Learning Affordance Landscapes forInteraction Exploration in 3D Environments. - Tushar Nagarajan; Kristen Grauman (CoRR, 2020)

Audio-Visual Waypoints for Navigation. - Changan Chen; Sagnik Majumder; Ziad Al-Halah; Ruohan Gao; Santhosh Kumar Ramakrishnan; Kristen Grauman (CoRR, 2020)

Dexterous Robotic Grasping with Object-Centric Visual Affordances. - Priyanka Mandikal; Kristen Grauman (CoRR, 2020)

Densifying Supervision for Fine-Grained Visual Comparisons. - Aron Yu; Kristen Grauman (Int. J. Comput. Vis., 2020)

Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video. - Rishabh Garg; Ruohan Gao; Kristen Grauman (BMVC, 2021)

DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video. - Priyanka Mandikal; Kristen Grauman (CoRL, 2021)

Semantic Audio-Visual Navigation. - Changan Chen; Ziad Al-Halah; Kristen Grauman (CVPR, 2021)

VisualVoice: Audio-Visual Speech Separation With Cross-Modal Consistency. - Ruohan Gao; Kristen Grauman (CVPR, 2021)

Ego-Exo: Transferring Visual Representations From Third-Person to First-Person Videos. - Yanghao Li; Tushar Nagarajan; Bo Xiong; Kristen Grauman (CVPR, 2021)

Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback. - Hui Wu 009; Yupeng Gao; Xiaoxiao Guo; Ziad Al-Halah; Steven Rennie; Kristen Grauman; Rogério Feris (CVPR, 2021)

Anticipative Video Transformer. - Rohit Girdhar; Kristen Grauman (ICCV, 2021)

From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images. - Wei-Lin Hsiao; Kristen Grauman (ICCV, 2021)

Move2Hear: Active Audio-Visual Source Separation. - Sagnik Majumder; Ziad Al-Halah; Kristen Grauman (ICCV, 2021)

Audio-Visual Floorplan Reconstruction. - Senthil Purushwalkam; Sebastià Vicenc Amengual Garí; Vamsi Krishna Ithapu; Carl Schissler; Philip W. Robinson; Abhinav Gupta 001; Kristen Grauman (ICCV, 2021)

Multiview Pseudo-Labeling for Semi-supervised Learning from Video. - Bo Xiong; Haoqi Fan 001; Kristen Grauman; Christoph Feichtenhofer (ICCV, 2021)

Learning to Set Waypoints for Audio-Visual Navigation. - Changan Chen; Sagnik Majumder; Ziad Al-Halah; Ruohan Gao; Santhosh Kumar Ramakrishnan; Kristen Grauman (ICLR, 2021)

Learning Dexterous Grasping with Object-Centric Visual Affordances. - Priyanka Mandikal; Kristen Grauman (ICRA, 2021)

Shaping embodied agent behavior with activity-context priors from egocentric video. - Tushar Nagarajan; Kristen Grauman (NeurIPS, 2021)

Environment Predictive Coding for Embodied Agents. - Santhosh K. Ramakrishnan; Tushar Nagarajan; Ziad Al-Halah; Kristen Grauman (CoRR, 2021)

Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts. - Sukjin Han; Eric H. Schulman; Kristen Grauman; Santhosh Ramakrishnan (CoRR, 2021)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video. - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (CoRR, 2021)

An Exploration of Embodied Visual Exploration. - Santhosh K. Ramakrishnan; Dinesh Jayaraman; Kristen Grauman (Int. J. Comput. Vis., 2021)

Learning Compressible 360$^{ circ }$∘ Video Isomers. - Yu-Chuan Su; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Modeling Fashion Influence From Photos. - Ziad Al-Halah; Kristen Grauman (IEEE Trans. Multim., 2021)

Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation. - Ziad Al-Halah; Santhosh K. Ramakrishnan; Kristen Grauman (CVPR, 2022)

Visual Acoustic Matching. - Changan Chen; Ruohan Gao; Paul Calamia; Kristen Grauman (CVPR, 2022)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video. - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (CVPR, 2022)

PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. - Santhosh Kumar Ramakrishnan; Devendra Singh Chaplot; Ziad Al-Halah; Jitendra Malik; Kristen Grauman (CVPR, 2022)

Egocentric Activity Recognition and Localization on a 3D Map. - Miao Liu 007; Lingni Ma; Kiran K. Somasundaram; Yin Li 003; Kristen Grauman; James M. Rehg; Chao Li (ECCV (13), 2022)

Active Audio-Visual Separation of Dynamic Sound Sources. - Sagnik Majumder; Kristen Grauman (ECCV (39), 2022)

Environment Predictive Coding for Visual Navigation. - Santhosh Kumar Ramakrishnan; Tushar Nagarajan; Ziad Al-Halah; Kristen Grauman (ICLR, 2022)

SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning. - Changan Chen; Carl Schissler; Sanchit Garg; Philip Kobernik; Alexander Clegg; Paul Calamia; Dhruv Batra; Philip W. Robinson; Kristen Grauman (NeurIPS, 2022)

Few-Shot Audio-Visual Learning of Environment Acoustics. - Sagnik Majumder; Changan Chen; Ziad Al-Halah; Kristen Grauman (NeurIPS, 2022)

Discovering Underground Maps from Fashion. - Utkarsh Mall; Kavita Bala; Tamara Berg; Kristen Grauman (WACV, 2022)

Active Audio-Visual Separation of Dynamic Sound Sources. - Sagnik Majumder; Ziad Al-Halah; Kristen Grauman (CoRR, 2022)

Egocentric scene context for human-centric environment understanding from video. - Tushar Nagarajan; Santhosh Kumar Ramakrishnan; Ruta Desai; James Hillis; Kristen Grauman (CoRR, 2022)

Retrospectives on the Embodied AI Workshop. - 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 001; Anthony G. Francis; et al. (CoRR, 2022)

Learning Spherical Convolution for $360^{ circ }$360∘ Recognition. - Yu-Chuan Su; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

HierVL: Learning Hierarchical Video-Language Embeddings. - Kumar Ashutosh; Rohit Girdhar; Lorenzo Torresani; Kristen Grauman (CVPR, 2023)

Novel-View Acoustic Synthesis. - Changan Chen; Alexander Richard; Roman Shapovalov; Vamsi Krishna Ithapu; Natalia Neverova; Kristen Grauman; Andrea Vedaldi (CVPR, 2023)

Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations. - Sagnik Majumder; Hao Jiang 007; Pierre Moulon; Ethan Henderson; Paul Calamia; Kristen Grauman; Vamsi Krishna Ithapu (CVPR, 2023)

NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory. - Santhosh Kumar Ramakrishnan; Ziad Al-Halah; Kristen Grauman (CVPR, 2023)

Egocentric Video Task Translation. - Zihui Xue; Yale Song; Kristen Grauman; Lorenzo Torresani (CVPR, 2023)

Learning Audio-Visual Dereverberation. - Changan Chen; Wei Sun; David Harwath; Kristen Grauman (ICASSP, 2023)

SpotEM: Efficient Video Search for Episodic Memory. - Santhosh Kumar Ramakrishnan; Ziad Al-Halah; Kristen Grauman (ICML, 2023)

Learning to Map Efficiently by Active Echolocation. - Xixi Hu 001; Senthil Purushwalkam; David Harwath; Kristen Grauman (IROS, 2023)

Video-Mined Task Graphs for Keystep Recognition in Instructional Videos. - Kumar Ashutosh; Santhosh Kumar Ramakrishnan; Triantafyllos Afouras; Kristen Grauman (NeurIPS, 2023)

Single-Stage Visual Query Localization in Egocentric Videos. - Hanwen Jiang; Santhosh Kumar Ramakrishnan; Kristen Grauman (NeurIPS, 2023)

EgoEnv: Human-centric environment representations from egocentric video. - Tushar Nagarajan; Santhosh Kumar Ramakrishnan; Ruta Desai; James Hillis; Kristen Grauman (NeurIPS, 2023)

Self-Supervised Visual Acoustic Matching. - Arjun Somayazulu; Changan Chen; Kristen Grauman (NeurIPS, 2023)

EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding. - Shuhan Tan; Tushar Nagarajan; Kristen Grauman (NeurIPS, 2023)

EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. - Hao Tang; Kevin J. Liang; Kristen Grauman; Matt Feiszli; Weiyao Wang 001 (NeurIPS, 2023)

Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment. - Zihui Xue; Kristen Grauman (NeurIPS, 2023)

What You Say Is What You Show: Visual Narration Detection in Instructional Videos. - Kumar Ashutosh; Rohit Girdhar; Lorenzo Torresani; Kristen Grauman (CoRR, 2023)

Egocentric Video Task Translation @ Ego4D Challenge 2022. - Zihui Xue; Yale Song; Kristen Grauman; Lorenzo Torresani (CoRR, 2023)

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. - Kristen Grauman; Andrew Westbury; Lorenzo Torresani; Kris Kitani; Jitendra Malik; Triantafyllos Afouras; Kumar Ashutosh; Vijay Baiyya; Siddhant Bansal; Bikram Boote; Eugene Byrne; Zachary Chavis; et al. (CoRR, 2023)

A domain-agnostic approach for characterization of lifelong learning systems. - 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; et al. (Neural Networks, 2023)

Editorial: Special Section on Egocentric Perception. - Antonino Furnari; David J. Crandall; Dima Damen; Kristen Grauman; Giovanni Maria Farinella (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Visually-Guided Audio Spatialization in Video with Geometry-Aware Multi-task Learning. - Rishabh Garg; Ruohan Gao; Kristen Grauman (Int. J. Comput. Vis., 2023)

Few-View Object Reconstruction with Unknown Categories and Camera Poses. - Hanwen Jiang; Zhenyu Jiang 002; Kristen Grauman; Yuke Zhu (3DV, 2024)

Detours for Navigating Instructional Videos. - Kumar Ashutosh; Zihui Xue; Tushar Nagarajan; Kristen Grauman (CVPR, 2024)

SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos. - Changan Chen; Kumar Ashutosh; Rohit Girdhar; David Harwath; Kristen Grauman (CVPR, 2024)

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. - Kristen Grauman; Andrew Westbury; Lorenzo Torresani; Kris Kitani; Jitendra Malik; Triantafyllos Afouras; Kumar Ashutosh; Vijay Baiyya; Siddhant Bansal; Bikram Boote; Eugene Byrne; Zachary Chavis; et al. (CVPR, 2024)

Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos. - Sagnik Majumder; Ziad Al-Halah; Kristen Grauman (CVPR, 2024)

Learning Object State Changes in Videos: An Open-World Perspective. - Zihui Xue; Kumar Ashutosh; Kristen Grauman (CVPR, 2024)

Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos. - Changan Chen; Puyuan Peng; Ami Baid; Zihui Xue; Wei-Ning Hsu; David Harwath; Kristen Grauman (ECCV (70), 2024)

4DIFF: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation. - Feng Cheng; Mi Luo; Huiyu Wang; Alex Dimakis; Lorenzo Torresani; Gedas Bertasius; Kristen Grauman (ECCV (24), 2024)

Put Myself in Your Shoes: Lifting the Egocentric Perspective from Exocentric Videos. - Mi Luo; Zihui Xue; Alex Dimakis; Kristen Grauman (ECCV (38), 2024)

Sim2Real Transfer for Audio-Visual Navigation with Frequency-Adaptive Acoustic Field Prediction. - Changan Chen; Jordi Ramos; Anshul Tomar; Kristen Grauman (IROS, 2024)

ActiveRIR: Active Audio-Visual Exploration for Acoustic Environment Modeling. - Arjun Somayazulu; Sagnik Majumder; Changan Chen; Kristen Grauman (IROS, 2024)

HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness. - Zihui Xue; Romy Luo; Changan Chen; Kristen Grauman (NeurIPS, 2024)

Institute for Foundations of Machine Learning (IFML): Advancing AI systems that will transform our world. - Adam R. Klivans; Alexandros G. Dimakis; Kristen Grauman; Jonathan I. Tamir; Daniel Jesus Diaz; Karen Davidson (AI Mag., 2024)

HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness. - Zihui Xue; Mi Luo; Changan Chen; Kristen Grauman (CoRR, 2024)

Human Action Anticipation: A Survey. - Bolin Lai; Sam Toyer; Tushar Nagarajan; Rohit Girdhar; Shengxin Zha; James M. Rehg; Kris Kitani; Kristen Grauman; Ruta Desai; Miao Liu 007 (CoRR, 2024)

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Videos. - Sagnik Majumder; Tushar Nagarajan; Ziad Al-Halah; Reina Pradhan; Kristen Grauman (CoRR, 2024)

Switch-a-View: Few-Shot View Selection Learned from Edited Videos. - Sagnik Majumder; Tushar Nagarajan; Ziad Al-Halah; Kristen Grauman (CoRR, 2024)

ExpertAF: Expert Actionable Feedback from Video. - Kumar Ashutosh; Tushar Nagarajan; Georgios Pavlakos; Kris Kitani; Kristen Grauman (CVPR, 2025)

FIction: 4D Future Interaction Prediction from Video. - Kumar Ashutosh; Georgios Pavlakos; Kristen Grauman (CVPR, 2025)

Viewpoint Rosetta Stone: Unlocking Unpaired Ego-Exo Videos for View-invariant Representation Learning. - Mi Luo; Zihui Xue; Alex Dimakis; Kristen Grauman (CVPR, 2025)

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos. - Sagnik Majumder; Tushar Nagarajan; Ziad Al-Halah; Reina Pradhan; Kristen Grauman (CVPR, 2025)

Progress-Aware Video Frame Captioning. - Zihui Xue; Joungbin An; Xitong Yang; Kristen Grauman (CVPR, 2025)

SPOC: Spatially-Progressing Object State Change Segmentation in Video. - Priyanka Mandikal; Tushar Nagarajan; Alex Stoken; Zihui Xue; Kristen Grauman (CoRR, 2025)

Stitch-a-Recipe: Video Demonstration from Multistep Descriptions. - Chi Hsuan Wu; Kumar Ashutosh; Kristen Grauman (CoRR, 2025)

Learning Activity View-invariance Under Extreme Viewpoint Changes via Curriculum Knowledge Distillation. - Arjun Somayazulu; Efi Mavroudi; Changan Chen; Lorenzo Torresani; Kristen Grauman (CoRR, 2025)

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding. - Jang Hyun Cho; Andrea Madotto; Effrosyni Mavroudi; Triantafyllos Afouras; Tushar Nagarajan; Muhammad Maaz 001; Yale Song; Tengyu Ma 005; Shuming Hu; Suyog Dutt Jain; Miguel Martin; Huiyu Wang; et al. (CoRR, 2025)

Vid2Coach: Transforming How-To Videos into Task Assistants. - Mina Huh; Zihui Xue; Ujjaini Das; Kumar Ashutosh; Kristen Grauman; Amy Pavel (CoRR, 2025)

Seeing the Arrow of Time in Large Multimodal Models. - Zihui Xue; Mi Luo; Kristen Grauman (CoRR, 2025)