Segmentation by minimal description. - Trevor Darrell; Stan Sclaroff; Alex Pentland (ICCV, 1990)

Generalized implicit functions for computer graphics. - Stan Sclaroff; Alex Pentland (SIGGRAPH, 1991)

Closed-Form Solutions for Physically Based Shape Modeling and Recognition. - Alex Pentland; Stan Sclaroff (IEEE Trans. Pattern Anal. Mach. Intell., 1991)

A Unified Approach for Physical and Geometric Modeling for Graphics and Animation. - Irfan A. Essa; Stan Sclaroff; Alex Pentland (Comput. Graph. Forum, 1992)

A modal framework for correspondence and description. - Stan Sclaroff; Alex Pentland (ICCV, 1993)

Visually guided animation. - Alex Pentland; Trevor Darrell; Irfan A. Essa; Ali Azarbayejani; Stan Sclaroff (CA, 1994)

Object representation for object recognition. - Jean Ponce; Ruzena Bajcsy; Dimitris N. Metaxas; Thomas O. Binford; David A. Forsyth; Martial Hebert; Katsushi Ikeuchi; Avinash C. Kak; Linda G. Shapiro; Stan Sclaroff; Alex Pentland; George C. Stockman (CVPR, 1994)

Modal Representations. - Alex Pentland; Stan Sclaroff (Object Representation in Computer Vision, 1994)

Photobook: Tools for Content-Based Manipulation of Image Databases. - Alex Pentland; Rosalind W. Picard; Stan Sclaroff (Storage and Retrieval for Image and Video Databases (SPIE), 1994)

Modal Matching for Correspondence and Recognition. - Stan Sclaroff; Alex Pentland (IEEE Trans. Pattern Anal. Mach. Intell., 1995)

Photobook: Content-based manipulation of image databases. - Alex Pentland; Rosalind W. Picard; Stan Sclaroff (Int. J. Comput. Vis., 1996)

Deformable prototypes for encoding shape categories in image databases. - Stan Sclaroff (Pattern Recognit., 1997)

Active Voodoo Dolls: A Vision Based Input Device for Nonrigid Control. - John Isidoro; Stan Sclaroff (CA, 1998)

Head Tracking via Robust Registration in Texture Map Images. - Marco La Cascia; John Isidoro; Stan Sclaroff (CVPR, 1998)

Active Blobs. - Stan Sclaroff; John Isidoro (ICCV, 1998)

Characterization of Neuropathological Shape Deformations. - John Martin; Alex Pentland; Stan Sclaroff; Ron Kikinis (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Distance to Deformable Prototypes: Encoding Shape Categories for Efficient Search. - Stan Sclaroff (Image Databases and Multi-Media Search, 1998)

Fast, Reliable Head Tracking under Varying Illumination. - Marco La Cascia; Stan Sclaroff (CVPR, 1999)

Deformable Shape Detection and Description via Model-Based Region. - Lifeng Liu; Stan Sclaroff (CVPR, 1999)

3D Trajectory Recovery for Tracking Multiple Objects and Trajectory Guided Recognition of Actions. - Rómer Rosales; Stan Sclaroff (CVPR, 1999)

Automatic Deformable Shape Segmentation for Image Database Search Applications. - Lifeng Liu; Stan Sclaroff (VISUAL, 1999)

Unifying Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web. - Stan Sclaroff; Marco La Cascia; Saratendu Sethi; Leonid Taycher (Comput. Vis. Image Underst., 1999)

Recursive Estimation of Motion and Planar Structure. - Jonathan Alon; Stan Sclaroff (CVPR, 2000)

Inferring Body Pose without Tracking Body Parts. - Rómer Rosales; Stan Sclaroff (CVPR, 2000)

Estimation and Prediction of Evolving Color Distributions for Skin Segmentation under Varying Illumination. - Leonid Sigal; Stan Sclaroff; Vassilis Athitsos (CVPR, 2000)

Learning and Synthesizing Human Body Motion and Posture. - Rómer Rosales; Stan Sclaroff (FG, 2000)

Specialized Mappings and the Estimation of Human Body Pose from a Single Image. - Rómer Rosales; Stan Sclaroff (Workshop on Human Motion, 2000)

Fast, Reliable Head Tracking under Varying Illumination: An Approach Based on Registration of Texture-Mapped 3D Models. - Marco La Cascia; Stan Sclaroff; Vassilis Athitsos (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Estimating 3D Body Pose using Uncalibrated Cameras. - Rómer Rosales; Matheen Siddiqui; Jonathan Alon; Stan Sclaroff (CVPR (1), 2001)

Motion Mining: Discovering Spatio-Temporal Patterns in Databases of Human Motion. - George Kollios; Stan Sclaroff; Margrit Betke (DMKD, 2001)

Region Segmentation via Deformable Model-Guided Split and Merge. - Lifeng Liu; Stan Sclaroff (ICCV, 2001)

3D Hand Pose Reconstruction Using Specialized Mappings. - Rómer Rosales; Vassilis Athitsos; Leonid Sigal; Stan Sclaroff (ICCV, 2001)

Medical image segmentation and retrieval via deformable models. - Lifeng Liu; Stan Sclaroff (ICIP (3), 2001)

Shape-Guided Split and Merge of Image Regions. - Lifeng Liu; Stan Sclaroff (IWVF, 2001)

Motion Mining. - Stan Sclaroff; George Kollios; Margrit Betke; Rómer Rosales (MDIC, 2001)

Learning Body Pose via Specialized Maps. - Rómer Rosales; Stan Sclaroff (NIPS, 2001)

Deformable Shape Detection and Description via Model-Based Region Grouping. - Stan Sclaroff; Lifeng Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Corrections to 'Deformable Shape Detection and Description via Model-Based Region Grouping'. - Stan Sclaroff; Lifeng Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Mix and Match Features in the ImageRover Search Engine. - Stan Sclaroff; Marco La Cascia; Saratendu Sethi; Leonid Taycher (Principles of Visual Information Retrieval, 2001)

Stochastic Mesh-Based Multiview Reconstruction. - John Isidoro; Stan Sclaroff (3DPVT, 2002)

Surface Reconstruction from Multiple Views using Rational B-Splines and Knot Insertion. - Matheen Siddiqui; Stan Sclaroff (3DPVT, 2002)

An Appearance-Based Framework for 3D Hand Shape Classification and Camera Viewpoint Estimation. - Vassilis Athitsos; Stan Sclaroff (FGR, 2002)

Algorithms for Inference in Specialized Maps for Recovering 3D Hand Pose. - Rómer Rosales; Stan Sclaroff (FGR, 2002)

Automatic Detection of Relevant Head Gestures in American Sign Language Communication. - Ugur Murat Erdem; Stan Sclaroff (ICPR (1), 2002)

Index trees for accelerating deformable template matching. - Lifeng Liu; Stan Sclaroff (Pattern Recognit. Lett., 2002)

Discovering Clusters in Motion Time-Series Data. - Jonathan Alon; Stan Sclaroff; George Kollios; Vladimir Pavlovic 001 (CVPR (1), 2003)

Estimating 3D Hand Pose from a Cluttered Image. - Vassilis Athitsos; Stan Sclaroff (CVPR (2), 2003)

Database Indexing Methods for 3D Hand Pose Estimation. - Vassilis Athitsos; Stan Sclaroff (Gesture Workshop, 2003)

Stochastic Refinement of the Visual Hull to Satisfy Photometric and Silhouette Consistency Constraints. - John Isidoro; Stan Sclaroff (ICCV, 2003)

Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter. - Jing Zhong; Stan Sclaroff (ICCV, 2003)

A framework for heading-guided recognition of human activity. - Rómer Rosales; Stan Sclaroff (Comput. Vis. Image Underst., 2003)

Active blobs: region-based, deformable appearance models. - Stan Sclaroff; John Isidoro (Comput. Vis. Image Underst., 2003)

BoostMap: A Method for Efficient Approximate Similarity Rankings. - Vassilis Athitsos; Jonathan Alon; Stan Sclaroff; George Kollios (CVPR (2), 2004)

Extraction and Clustering of Motion Trajectories in Video. - Dan Buzan; Stan Sclaroff; George Kollios (ICPR (2), 2004)

Fully automatic, real-time detection of facial gestures from generic video. - Marco La Cascia; Lorenzo Valenti; Stan Sclaroff (MMSP, 2004)

Deformable model-guided region split and merge of image regions. - Lifeng Liu; Stan Sclaroff (Image Vis. Comput., 2004)

Skin Color-Based Video Segmentation under Time-Varying Illumination. - Leonid Sigal; Stan Sclaroff; Vassilis Athitsos (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Look there! Predicting where to look for motion in an active camera network. - Ugur Murat Erdem; Stan Sclaroff (AVSS, 2005)

View registration using interesting segments of planar trajectories. - Walter Nunziati; Jonathan Alon; Stan Sclaroff; Alberto Del Bimbo (AVSS, 2005)

An Invariant Representation for Matching Trajectories Across Uncalibrated Video Streams. - Walter Nunziati; Stan Sclaroff; Alberto Del Bimbo (CIVR, 2005)

Efficient Nearest Neighbor Classification Using a Cascade of Approximate Similarity Measures. - Vassilis Athitsos; Jonathan Alon; Stan Sclaroff (CVPR (1), 2005)

Boosting nearest neighbor classifiers for multiclass recognition. - Vassilis Athitsos; Stan Sclaroff (CVPR Workshops, 2005)

Articulated Pose Estimation in a Learned Smooth Space of Feasible Solutions. - Tai-Peng Tian; Rui Li 053; Stan Sclaroff (CVPR Workshops, 2005)

Face Identification by a Cascade of Rejection Classifiers. - Quan Yuan; Ashwin Thangali; Stan Sclaroff (CVPR Workshops, 2005)

Accurate and Efficient Gesture Spotting via Pruning and Subgesture Reasoning. - Jonathan Alon; Vassilis Athitsos; Stan Sclaroff (ICCV-HCI, 2005)

Online and Offline Character Recognition Using Alignment to Prototypes. - Jonathan Alon; Vassilis Athitsos; Stan Sclaroff (ICDAR, 2005)

Tracking, Analysis, and Recognition of Human Gestures in Video. - Stan Sclaroff; Margrit Betke; George Kollios; Jonathan Alon; Vassilis Athitsos; Rui Li 053; John J. Magee; Tai-Peng Tian (ICDAR, 2005)

Discovering Frequent Arrangements of Temporal Intervals. - Panagiotis Papapetrou; George Kollios; Stan Sclaroff; Dimitrios Gunopulos (ICDM, 2005)

Simultaneous Localization and Recognition of Dynamic Hand Gestures. - Jonathan Alon; Vassilis Athitsos; Quan Yuan; Stan Sclaroff (WACV/MOTION, 2005)

Periodic Motion Detection and Estimation via Space-Time Sampling. - Ashwin Thangali; Stan Sclaroff (WACV/MOTION, 2005)

Handsignals Recognition From Video Using 3D Motion Capture Data. - Tai-Peng Tian; Stan Sclaroff (WACV/MOTION, 2005)

Automatic 2D Hand Tracking in Video Sequences. - Quan Yuan; Stan Sclaroff; Vassilis Athitsos (WACV/MOTION, 2005)

Detecting Instances of Shape Classes That Exhibit Variable Structure. - Vassilis Athitsos; Jingbin Wang; Stan Sclaroff; Margrit Betke (ECCV (1), 2006)

Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers. - Rui Li 053; Ming-Hsuan Yang 001; Stan Sclaroff; Tai-Peng Tian (ECCV (2), 2006)

Automated camera layout to satisfy task-specific and floor plan-specific coverage requirements. - Ugur Murat Erdem; Stan Sclaroff (Comput. Vis. Image Underst., 2006)

Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation. - Rómer Rosales; Stan Sclaroff (Int. J. Comput. Vis., 2006)

Parameter Sensitive Detectors. - Quan Yuan; Ashwin Thangali; Vitaly Ablavsky; Stan Sclaroff (CVPR, 2007)

ClassMap: Efficient Multiclass Recognition via Embeddings. - Vassilis Athitsos; Alexandra Stefan; Quan Yuan; Stan Sclaroff (ICCV, 2007)

Simultaneous Learning of Nonlinear Manifold and Dynamical Models for High-dimensional Time Series. - Rui Li 053; Tai-Peng Tian; Stan Sclaroff (ICCV, 2007)

Query-sensitive embeddings. - Vassilis Athitsos; Marios Hadjieleftheriou; George Kollios; Stan Sclaroff (ACM Trans. Database Syst., 2007)

Layered graphical models for tracking partially-occluded objects. - Vitaly Ablavsky; Ashwin Thangali; Stan Sclaroff (CVPR, 2008)

The American Sign Language Lexicon Video Dataset. - Vassilis Athitsos; Carol Neidle; Stan Sclaroff; Joan P. Nash; Alexandra Stefan; Quan Yuan; Ashwin Thangali (CVPR Workshops, 2008)

Multiplicative kernels: Object detection, segmentation and pose estimation. - Quan Yuan; Ashwin Thangali; Vitaly Ablavsky; Stan Sclaroff (CVPR, 2008)

Tracking with Dynamic Hidden-State Shape Models. - Zheng Wu 003; Margrit Betke; Jingbin Wang; Vassilis Athitsos; Stan Sclaroff (ECCV (1), 2008)

Benchmark Databases for Video-Based Automatic Sign Language Recognition. - Philippe Dreuw; Carol Neidle; Vassilis Athitsos; Stan Sclaroff; Hermann Ney (LREC, 2008)

Translation and scale-invariant gesture recognition in complex scenes. - Alexandra Stefan; Vassilis Athitsos; Jonathan Alon; Stan Sclaroff (PETRA, 2008)

Multi-scale 3D scene flow from binocular stereo sequences. - Rui Li 053; Stan Sclaroff (Comput. Vis. Image Underst., 2008)

BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval. - Vassilis Athitsos; Jonathan Alon; Stan Sclaroff; George Kollios (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Detecting Objects of Variable Shape Structure With Hidden State Shape Models. - Jingbin Wang; Vassilis Athitsos; Stan Sclaroff; Margrit Betke (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Reducing JointBoost-based multiclass classification to proximity search. - Alexandra Stefan; Vassilis Athitsos; Quan Yuan; Stan Sclaroff (CVPR, 2009)

An alignment based similarity measure for hand detection in cluttered sign language video. - Ashwin Thangali; Stan Sclaroff (CVPR Workshops, 2009)

Learning actions from the Web. - Nazli Ikizler-Cinbis; Ramazan Gokberk Cinbis; Stan Sclaroff (ICCV, 2009)

Is a detector only good for detection? - Quan Yuan; Stan Sclaroff (ICCV, 2009)

Object Matching in Distributed Video Surveillance Systems by LDA-Based Appearance Descriptors. - Liliana Lo Presti; Stan Sclaroff; Marco La Cascia (ICIAP, 2009)

Mining frequent arrangements of temporal intervals. - Panagiotis Papapetrou; George Kollios; Stan Sclaroff; Dimitrios Gunopulos (Knowl. Inf. Syst., 2009)

A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation. - Jonathan Alon; Vassilis Athitsos; Quan Yuan; Stan Sclaroff (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Sign Language Spotting with a Threshold Model Based on Conditional Random Fields. - Hee-Deok Yang; Stan Sclaroff; Seong-Whan Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Fast globally optimal 2D human detection with loopy graph models. - Tai-Peng Tian; Stan Sclaroff (CVPR, 2010)

Object, Scene and Actions: Combining Multiple Features for Human Action Recognition. - Nazli Ikizler-Cinbis; Stan Sclaroff (ECCV (1), 2010)

Fast Multi-aspect 2D Human Detection. - Tai-Peng Tian; Stan Sclaroff (ECCV (3), 2010)

Object Recognition and Localization Via Spatial Instance Embedding. - Nazli Ikizler-Cinbis; Stan Sclaroff (ICPR, 2010)

3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers. - Rui Li 053; Tai-Peng Tian; Stan Sclaroff; Ming-Hsuan Yang 001 (Int. J. Comput. Vis., 2010)

Matching Trajectories between Video Sequences by Exploiting a Sparse Projective Invariant Representation. - Walter Nunziati; Stan Sclaroff; Alberto Del Bimbo (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Exploiting phonological constraints for handshape inference in ASL video. - Ashwin Thangali; Joan P. Nash; Stan Sclaroff; Carol Neidle (CVPR, 2011)

Learning parameterized histogram kernels on the simplex manifold for image and action classification. - Vitaly Ablavsky; Stan Sclaroff (ICCV, 2011)

Real-time structure and motion recovery from two views of a multiplanar scene. - Javier-Flavio Vigueras Gomez; Stan Sclaroff (ICCV Workshops, 2011)

Layered Graphical Models for Tracking Partially Occluded Objects. - Vitaly Ablavsky; Stan Sclaroff (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Learning a Family of Detectors via Multiplicative Kernels. - Quan Yuan; Ashwin Thangali; Vitaly Ablavsky; Stan Sclaroff (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Online Multi-person Tracking by Tracker Hierarchy. - Jianming Zhang 001; Liliana Lo Presti; Stan Sclaroff (AVSS, 2012)

People in Motion: Pose, Action and Communication. - Stan Sclaroff (BMVC, 2012)

Scale resilient, rotation invariant articulated object matching. - Hao Jiang 007; Tai-Peng Tian; Kun He 003; Stan Sclaroff (CVPR, 2012)

Coupling detection and data association for multiple object tracking. - Zheng Wu 003; Ashwin Thangali; Stan Sclaroff; Margrit Betke (CVPR, 2012)

Contextual Object Detection Using Set-Based Classification. - Ramazan Gokberk Cinbis; Stan Sclaroff (ECCV (6), 2012)

Unsupervised Learning of Discriminative Relative Visual Attributes. - Shugao Ma; Stan Sclaroff; Nazli Ikizler-Cinbis (ECCV Workshops (3), 2012)

Detecting Reduplication in Videos of American Sign Language. - Zoya Gavrilov; Stan Sclaroff; Carol Neidle; Sven J. Dickinson (LREC, 2012)

Divide, Conquer and Coordinate: Globally Coordinated Switching Linear Dynamical System. - Rui Li 053; Tai-Peng Tian; Stan Sclaroff (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Web-Based Classifiers for Human Action Recognition. - Nazli Ikizler-Cinbis; Stan Sclaroff (IEEE Trans. Multim., 2012)

Path Modeling and Retrieval in Distributed Video Surveillance Databases. - Liliana Lo Presti; Stan Sclaroff; Marco La Cascia (IEEE Trans. Multim., 2012)

Event prediction in a hybrid camera network. - Ugur Murat Erdem; Stan Sclaroff (ACM Trans. Sens. Networks, 2012)

Decoding Children's Social Behavior. - James M. Rehg; Gregory D. Abowd; Agata Rozga; Mario Romero; Mark A. Clements; Stan Sclaroff; Irfan A. Essa; Opal Y. Ousley; Yin Li 003; Chanho Kim; Hrishikesh Rao 001; Jonathan C. Kim; et al. (CVPR, 2013)

Randomized Ensemble Tracking. - Qinxun Bai; Zheng Wu 003; Stan Sclaroff; Margrit Betke; Camille Monnier (ICCV, 2013)

Action Recognition and Localization by Hierarchical Space-Time Segments. - Shugao Ma; Jianming Zhang 001; Nazli Ikizler-Cinbis; Stan Sclaroff (ICCV, 2013)

Saliency Detection: A Boolean Map Approach. - Jianming Zhang 001; Stan Sclaroff (ICCV, 2013)

Joint Alignment and Modeling of Correlated Behavior Streams. - Liliana Lo Presti; Stan Sclaroff; Agata Rozga (ICCV Workshops, 2013)

ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary. - Sergio Escalera; Jordi Gonzàlez 001; Xavier Baró; Miguel Reyes; Isabelle Guyon; Vassilis Athitsos; Hugo Jair Escalante; Leonid Sigal; Antonis A. Argyros; Cristian Sminchisescu; Richard Bowden; Stan Sclaroff (ICMI, 2013)

Fast vision-based scene modeling for augmented reality in unprepared man-made environments. - Javier-Flavio Vigueras Gomez; Stan Sclaroff (J. Ambient Intell. Smart Environ., 2013)

Gesture Modeling by Hanklet-Based Hidden Markov Model. - Liliana Lo Presti; Marco La Cascia; Stan Sclaroff; Octavia I. Camps (ACCV (3), 2014)

Contextual Rescoring for Human Pose Estimation. - Antonio Hernández-Vela; Sergio Escalera; Stan Sclaroff (BMVC, 2014)

Adaptive Structured Pooling for Action Recognition. - Svebor Karaman; Lorenzo Seidenari; Shugao Ma; Alberto Del Bimbo; Stan Sclaroff (BMVC, 2014)

Parameterizing Object Detectors in the Continuous Pose Space. - Kun He 003; Leonid Sigal; Stan Sclaroff (ECCV (4), 2014)

MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization. - Jianming Zhang 001; Shugao Ma; Stan Sclaroff (ECCV (6), 2014)

A Bayesian Framework for Online Classifier Ensemble. - Qinxun Bai; Henry Lam; Stan Sclaroff (ICML, 2014)

Supervised hashing with error correcting codes. - Fatih Çakir; Stan Sclaroff (ACM Multimedia, 2014)

3D pose estimation of bats in the wild. - Mikhail Breslav; Nathan W. Fuller; Stan Sclaroff; Margrit Betke (WACV, 2014)

Visual Word Selection without Re-Coding and Re-Pooling. - Fatih Çakir; Stan Sclaroff (CoRR, 2014)

Best of Automatic Face and Gesture Recognition 2013. - Qiang Ji; Stan Sclaroff; Lijun Yin 001 (Image Vis. Comput., 2014)

Space-time tree ensemble for action recognition. - Shugao Ma; Leonid Sigal; Stan Sclaroff (CVPR, 2015)

A random forest approach to segmenting and classifying gestures. - Ajjen Joshi; Camille Monnier; Margrit Betke; Stan Sclaroff (FG, 2015)

Adaptive Hashing for Fast Similarity Search. - Fatih Çakir; Stan Sclaroff (ICCV, 2015)

Minimum Barrier Salient Object Detection at 80 FPS. - Jianming Zhang 001; Stan Sclaroff; Zhe Lin 001; Xiaohui Shen; Brian L. Price; Radomír Mech (ICCV, 2015)

Online supervised hashing. - Fatih Çakir; Stan Sclaroff (ICIP, 2015)

Image-based Ear Biometric Smartphone App for Patient Identification in Field Settings. - Sarah Adel Bargal; Alexander Welles; Cliff R. Chan; Samuel Howes; Stan Sclaroff; Elizabeth Ragan; Courtney Johnson; Christopher J. Gill (VISAPP (3), 2015)

A Bayesian Approach for Online Classifier Ensemble. - Qinxun Bai; Henry Lam; Stan Sclaroff (CoRR, 2015)

A Differential Geometric Approach to Classification. - Qinxun Bai; Steven Rosenberg; Stan Sclaroff (CoRR, 2015)

Online Supervised Hashing for Ever-Growing Datasets. - Fatih Çakir; Sarah Adel Bargal; Stan Sclaroff (CoRR, 2015)

Generalized Majorization-Minimization. - Sobhan Naderi Parizi; Kun He 003; Stan Sclaroff; Pedro F. Felzenszwalb (CoRR, 2015)

Hankelet-based dynamical systems modeling for 3D action recognition. - Liliana Lo Presti; Marco La Cascia; Stan Sclaroff; Octavia I. Camps (Image Vis. Comput., 2015)

Scale and Rotation Invariant Matching Using Linearly Augmented Trees. - Hao Jiang 007; Tai-Peng Tian; Stan Sclaroff (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Learning Activity Progression in LSTMs for Activity Detection and Early Detection. - Shugao Ma; Leonid Sigal; Stan Sclaroff (CVPR, 2016)

Unconstrained Salient Object Detection via Proposal Subset Optimization. - Jianming Zhang 001; Stan Sclaroff; Zhe Lin 001; Xiaohui Shen; Brian L. Price; Radomír Mech (CVPR, 2016)

Top-Down Neural Attention by Excitation Backprop. - Jianming Zhang 001; Zhe Lin 001; Jonathan Brandt; Xiaohui Shen; Stan Sclaroff (ECCV (4), 2016)

Differential Geometric Regularization for Supervised Learning of Classifiers. - Qinxun Bai; Steven Rosenberg; Zheng Wu 003; Stan Sclaroff (ICML, 2016)

Discovering useful parts for pose estimation in sparsely annotated datasets. - Mikhail Breslav; Tyson L. Hedrick; Stan Sclaroff; Margrit Betke (WACV, 2016)

Poselet-Based Contextual Rescoring for Human Pose Estimation via Pictorial Structures. - Antonio Hernández-Vela; Stan Sclaroff; Sergio Escalera (Int. J. Comput. Vis., 2016)

Exploiting Surroundedness for Saliency Detection: A Boolean Map Approach. - Jianming Zhang 001; Stan Sclaroff (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks. - Ajjen Joshi; Soumya Ghosh; Margrit Betke; Stan Sclaroff; Hanspeter Pfister (CVPR, 2017)

The Boolean Map Distance: Theory and Efficient Computation. - Filip Malmberg; Robin Strand; Jianming Zhang 001; Stan Sclaroff (DGCI, 2017)

MIHash: Online Hashing with Mutual Information. - Fatih Çakir; Kun He 003; Sarah Adel Bargal; Stan Sclaroff (ICCV, 2017)

Automating Image Analysis by Annotating Landmarks with Deep Neural Networks. - Mikhail Breslav; Tyson L. Hedrick; Stan Sclaroff; Margrit Betke (CoRR, 2017)

Online supervised hashing. - Fatih Çakir; Sarah Adel Bargal; Stan Sclaroff (Comput. Vis. Image Underst., 2017)

Salient Object Subitizing. - Jianming Zhang 001; Shugao Ma; Mehrnoosh Sameki; Stan Sclaroff; Margrit Betke; Zhe Lin 001; Xiaohui Shen; Brian L. Price; Radomír Mech (Int. J. Comput. Vis., 2017)

Comparing random forest approaches to segmenting and classifying gestures. - Ajjen Joshi; Camille Monnier; Margrit Betke; Stan Sclaroff (Image Vis. Comput., 2017)

Do less and achieve more: Training CNNs for action recognition utilizing action images from the Web. - Shugao Ma; Sarah Adel Bargal; Jianming Zhang 001; Leonid Sigal; Stan Sclaroff (Pattern Recognit., 2017)

Hashing as Tie-Aware Learning to Rank. - Kun He 003; Fatih Çakir; Sarah Adel Bargal; Stan Sclaroff (CVPR, 2018)

Local Descriptors Optimized for Average Precision. - Kun He 003; Yan Lu; Stan Sclaroff (CVPR, 2018)

Excitation Backprop for RNNs. - Sarah Adel Bargal; Andrea Zunino; Donghyun Kim 006; Jianming Zhang 001; Vittorio Murino; Stan Sclaroff (CVPR, 2018)

Hashing with Binary Matrix Pursuit. - Fatih Çakir; Kun He 003; Stan Sclaroff (ECCV (5), 2018)

Context-Sensitive Prediction of Facial Expressivity Using Multimodal Hierarchical Bayesian Neural Networks. - Ajjen Joshi; Soumya Ghosh; Sarah Gunnery; Linda Tickle-Degnen; Stan Sclaroff; Margrit Betke (FG, 2018)

Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning. - Huijuan Xu 001; Kun He 003; Leonid Sigal; Stan Sclaroff; Kate Saenko (CoRR, 2018)

Learning Where to Fixate on Foveated Images. - Hanxiao Wang 001; Venkatesh Saligrama; Stan Sclaroff; Vitaly Ablavsky (CoRR, 2018)

Open-vocabulary Phrase Detection. - Bryan A. Plummer; Kevin J. Shih; Yichen Li; Ke Xu; Svetlana Lazebnik; Stan Sclaroff; Kate Saenko (CoRR, 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)

Space-Time Tree Ensemble for Action Recognition and Localization. - Shugao Ma; Jianming Zhang 001; Stan Sclaroff; Nazli Ikizler-Cinbis; Leonid Sigal (Int. J. Comput. Vis., 2018)

Top-Down Neural Attention by Excitation Backprop. - Jianming Zhang 001; Sarah Adel Bargal; Zhe Lin 001; Jonathan Brandt; Xiaohui Shen; Stan Sclaroff (Int. J. Comput. Vis., 2018)

Visual Saliency: From Pixel-Level to Object-Level Analysis - Jianming Zhang 001; Filip Malmberg; Stan Sclaroff (Springer, 2019)

Multilevel Language and Vision Integration for Text-to-Clip Retrieval. - Huijuan Xu 001; Kun He 003; Bryan A. Plummer; Leonid Sigal; Stan Sclaroff; Kate Saenko (AAAI, 2019)

Guided Zoom: Questioning Network Evidence for Fine-grained Classification. - Sarah Adel Bargal; Andrea Zunino; Vitali Petsiuk; Jianming Zhang 001; Kate Saenko; Vittorio Murino; Stan Sclaroff (BMVC, 2019)

Are CNN Predictions based on Reasonable Evidence? - Sarah Adel Bargal; Andrea Zunino; Vitali Petsiuk; Jianming Zhang 001; Kate Saenko; Vittorio Murino; Stan Sclaroff (CVPR Workshops, 2019)

Deep Metric Learning to Rank. - Fatih Çakir; Kun He 003; Xide Xia; Brian Kulis; Stan Sclaroff (CVPR, 2019)

Affect-driven Learning Outcomes Prediction in Intelligent Tutoring Systems. - Ajjen Joshi; Danielle Allessio; John J. Magee; Jacob Whitehill; Ivon Arroyo; Beverly P. Woolf; Stan Sclaroff; Margrit Betke (FG, 2019)

Language Features Matter: Effective Language Representations for Vision-Language Tasks. - Andrea Burns; Reuben Tan; Kate Saenko; Stan Sclaroff; Bryan A. Plummer (ICCV, 2019)

Semi-Supervised Domain Adaptation via Minimax Entropy. - Kuniaki Saito; Donghyun Kim 006; Stan Sclaroff; Trevor Darrell; Kate Saenko (ICCV, 2019)

Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations. - Hanxiao Wang 001; Venkatesh Saligrama; Stan Sclaroff; Vitaly Ablavsky (ICCV, 2019)

Generalized Majorization-Minimization. - Sobhan Naderi Parizi; Kun He 003; Reza Aghajani; Stan Sclaroff; Pedro F. Felzenszwalb (ICML, 2019)

Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition. - Ping Hu 001; Ximeng Sun; Kate Saenko; Stan Sclaroff (CoRR, 2019)

Tell Me What to Track. - Qi Feng 004; Vitaly Ablavsky; Qinxun Bai; Guorong Li; Stan Sclaroff (CoRR, 2019)

Robust Visual Object Tracking with Natural Language Region Proposal Network. - Qi Feng 004; Vitaly Ablavsky; Qinxun Bai; Stan Sclaroff (CoRR, 2019)

DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition. - Nuno C. Garcia; Sarah Adel Bargal; Vitaly Ablavsky; Pietro Morerio; Vittorio Murino; Stan Sclaroff (CoRR, 2019)

Hashing with Mutual Information. - Fatih Çakir; Kun He 003; Sarah Adel Bargal; Stan Sclaroff (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

MULE: Multimodal Universal Language Embedding. - Donghyun Kim 006; Kuniaki Saito; Kate Saenko; Stan Sclaroff; Bryan A. Plummer (AAAI, 2020)

Temporally Distributed Networks for Fast Video Semantic Segmentation. - Ping Hu 001; Fabian Caba; Oliver Wang; Zhe Lin 001; Stan Sclaroff; Federico Perazzi (CVPR, 2020)

Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems. - Nataniel Ruiz; Sarah Adel Bargal; Stan Sclaroff (ECCV Workshops (4), 2020)

Beyond the Visual Analysis of Deep Model Saliency. - Sarah Adel Bargal; Andrea Zunino; Vitali Petsiuk; Jianming Zhang 001; Vittorio Murino; Stan Sclaroff; Kate Saenko (xxAI@ICML, 2020)

Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation. - Ping Hu 001; Stan Sclaroff; Kate Saenko (NeurIPS, 2020)

Universal Domain Adaptation through Self Supervision. - Kuniaki Saito; Donghyun Kim 006; Stan Sclaroff; Kate Saenko (NeurIPS, 2020)

Real-time Visual Object Tracking with Natural Language Description. - Qi Feng 004; Vitaly Ablavsky; Qinxun Bai; Guorong Li; Stan Sclaroff (WACV, 2020)

DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation. - Ping Hu 001; Jun Liu 036; Gang Wang 012; Vitaly Ablavsky; Kate Saenko; Stan Sclaroff (WACV, 2020)

Multi-way Encoding for Robustness. - Donghyun Kim 006; Sarah Adel Bargal; Jianming Zhang 001; Stan Sclaroff (WACV, 2020)

Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. - Nataniel Ruiz; Mona Jalal; Vitaly Ablavsky; Danielle Allessio; John J. Magee; Jacob Whitehill; Ivon Arroyo; Beverly P. Woolf; Stan Sclaroff; Margrit Betke (CoRR, 2020)

Multi-Task Learning from Videos via Efficient Inter-Frame Attention. - Donghyun Kim 006; Tian Lan; Chuhang Zou; Ning Xu; Bryan A. Plummer; Stan Sclaroff; Jayan Eledath; Gérard G. Medioni (CoRR, 2020)

Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels. - Donghyun Kim 006; Kuniaki Saito; Tae-Hyun Oh; Bryan A. Plummer; Stan Sclaroff; Kate Saenko (CoRR, 2020)

Spatio-Temporal Action Detection with Multi-Object Interaction. - Huijuan Xu 001; Lizhi Yang; Stan Sclaroff; Kate Saenko; Trevor Darrell (CoRR, 2020)

Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks. - Nataniel Ruiz; Sarah Adel Bargal; Stan Sclaroff (CoRR, 2020)

Self-supervised Visual Attribute Learning for Fashion Compatibility. - Donghyun Kim 006; Kuniaki Saito; Kate Saenko; Stan Sclaroff; Bryan A. Plummer (CoRR, 2020)

Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers. - Qi Feng 004; Vitaly Ablavsky; Qinxun Bai; Stan Sclaroff (CVPR, 2021)

The 5th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Xiaodong Yang 001; Yue Yao; Liang Zheng 001; Pranamesh Chakraborty; Christian E. López; Anuj Sharma; Qi Feng 004; et al. (CVPR Workshops, 2021)

Explainable Deep Classification Models for Domain Generalization. - Andrea Zunino; Sarah Adel Bargal; Riccardo Volpi; Mehrnoosh Sameki; Jianming Zhang 001; Stan Sclaroff; Vittorio Murino; Kate Saenko (CVPR Workshops, 2021)

Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. - Nataniel Ruiz; Hao Yu 014; Danielle Allessio; Mona Jalal; Ajjen Joshi; Thomas J. Murray 001; John J. Magee; Jacob Whitehill; Vitaly Ablavsky; Ivon Arroyo; Beverly P. Woolf; Stan Sclaroff; et al. (FG, 2021)

CDS: Cross-Domain Self-supervised Pre-training. - Donghyun Kim 006; Kuniaki Saito; Tae-Hyun Oh; Bryan A. Plummer; Stan Sclaroff; Kate Saenko (ICCV, 2021)

Learning Cross-Modal Contrastive Features for Video Domain Adaptation. - Donghyun Kim 006; Yi-Hsuan Tsai; Bingbing Zhuang; Xiang Yu 002; Stan Sclaroff; Kate Saenko; Manmohan Chandraker (ICCV, 2021)

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. - Kuniaki Saito; Donghyun Kim 006; Piotr Teterwak; Stan Sclaroff; Trevor Darrell; Kate Saenko (ICCV, 2021)

MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention. - Donghyun Kim 006; Tian Lan; Chuhang Zou; Ning Xu; Bryan A. Plummer; Stan Sclaroff; Jayan Eledath; Gérard G. Medioni (ICCVW, 2021)

Self-supervised Visual Attribute Learning for Fashion Compatibility. - Donghyun Kim 006; Kuniaki Saito; Samarth Mishra; Stan Sclaroff; Kate Saenko; Bryan A. Plummer (ICCVW, 2021)

Distillation Multiple Choice Learning for Multimodal Action Recognition. - Nuno Cruz Garcia; Sarah Adel Bargal; Vitaly Ablavsky; Pietro Morerio; Vittorio Murino; Stan Sclaroff (WACV, 2021)

CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions. - Qi Feng 004; Vitaly Ablavsky; Stan Sclaroff (CoRR, 2021)

The 5th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Xiaodong Yang 001; Yue Yao; Liang Zheng 001; Pranamesh Chakraborty; Anuj Sharma; Qi Feng 004; Vitaly Ablavsky; et al. (CoRR, 2021)

Excitation Dropout: Encouraging Plasticity in Deep Neural Networks. - Andrea Zunino; Sarah Adel Bargal; Pietro Morerio; Jianming Zhang 001; Stan Sclaroff; Vittorio Murino (Int. J. Comput. Vis., 2021)

Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions. - Sarah Adel Bargal; Andrea Zunino; Vitali Petsiuk; Jianming Zhang 001; Kate Saenko; Vittorio Murino; Stan Sclaroff (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Real-Time Semantic Segmentation With Fast Attention. - Ping Hu 001; Federico Perazzi; Fabian Caba Heilbron; Oliver Wang; Zhe Lin 001; Kate Saenko; Stan Sclaroff (IEEE Robotics Autom. Lett., 2021)

Many-to-many Splatting for Efficient Video Frame Interpolation. - Ping Hu 001; Simon Niklaus; Stan Sclaroff; Kate Saenko (CVPR, 2022)

The 6th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Archana Venkatachalapathy; Anuj Sharma; Qi Feng 004; Vitaly Ablavsky; et al. (CVPR Workshops, 2022)

Simulated Adversarial Testing of Face Recognition Models. - Nataniel Ruiz; Adam Kortylewski; Weichao Qiu; Cihang Xie; Sarah Adel Bargal; Alan L. Yuille; Stan Sclaroff (CVPR, 2022)

A Unified Framework for Domain Adaptive Pose Estimation. - Donghyun Kim 006; Kaihong Wang; Kate Saenko; Margrit Betke; Stan Sclaroff (ECCV (33), 2022)

A Broad Study of Pre-training for Domain Generalization and Adaptation. - Donghyun Kim 006; Kaihong Wang; Stan Sclaroff; Kate Saenko (ECCV (33), 2022)

Multi-varied Cumulative Alignment for Domain Adaptation. - Marc Oliu; Sarah Adel Bargal; Stan Sclaroff; Xavier Baró; Sergio Escalera (ICIAP (2), 2022)

Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. - Nataniel Ruiz; Sarah A. Bargal; Cihang Xie; Kate Saenko; Stan Sclaroff (NeurIPS, 2022)

Temporal Relevance Analysis for Video Action Models. - Quanfu Fan; Donghyun Kim 006; Chun-Fu Chen 001; Stan Sclaroff; Kate Saenko; Sarah Adel Bargal (CoRR, 2022)

Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs. - Shoumik Sovan Majumdar; Shubhangi Jain; Isidora Chara Tourni; Arsenii Mustafin; Diala Lteif; Stan Sclaroff; Kate Saenko; Sarah Adel Bargal (Frontiers Comput. Sci., 2022)

Revisiting Image-Language Networks for Open-Ended Phrase Detection. - Bryan A. Plummer; Kevin J. Shih; Yichen Li; Ke Xu; Svetlana Lazebnik; Stan Sclaroff; Kate Saenko (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation. - Ping Hu 001; Stan Sclaroff; Kate Saenko (IEEE Trans. Image Process., 2022)

Practical Disruption of Image Translation Deepfake Networks. - Nataniel Ruiz; Sarah Adel Bargal; Cihang Xie; Stan Sclaroff (AAAI, 2023)

The 7th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Meenakshi S. Arya; Anuj Sharma; Qi Feng 004; Vitaly Ablavsky; et al. (CVPR Workshops, 2023)

Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing. - Ariel N. Lee; Sarah Adel Bargal; Janavi Kasera; Stan Sclaroff; Kate Saenko; Nataniel Ruiz (CoRR, 2023)

ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction. - Nataniel Ruiz; Hao Yu 014; Danielle Allessio; Mona Jalal; Ajjen Joshi; Tom Murray 001; John J. Magee; Kevin Delgado; Vitaly Ablavsky; Stan Sclaroff; Ivon Arroyo; Beverly P. Woolf; et al. (IEEE Trans. Biom. Behav. Identity Sci., 2023)

Video Frame Interpolation With Many-to-Many Splatting and Spatial Selective Refinement. - Ping Hu 001; Simon Niklaus; Lu Zhang 053; Stan Sclaroff; Kate Saenko (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations. - Ping Hu 001; Ximeng Sun; Stan Sclaroff; Kate Saenko (IEEE Trans. Pattern Anal. Mach. Intell., 2024)