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

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

Implicit Probabilistic Models of Human Motion for Synthesis and Tracking. - Hedvig Sidenbladh; Michael J. Black; Leonid Sigal (ECCV (1), 2002)

Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation. - Leonid Sigal; Michael Isard; Benjamin H. Sigelman; Michael J. Black (NIPS, 2003)

3D Human Limb Detection using Space Carving and Multi-View Eigen Models. - Sidharth Bhatia; Leonid Sigal; Michael Isard; Michael J. Black (CVPR Workshops, 2004)

Gibbs Likelihoods for Bayesian Tracking. - Stefan Roth 001; Leonid Sigal; Michael J. Black (CVPR (1), 2004)

Tracking Loose-Limbed People. - Leonid Sigal; Sidharth Bhatia; Stefan Roth 001; Michael J. Black; Michael Isard (CVPR (1), 2004)

Tracking Complex Objects Using Graphical Object Models. - Leonid Sigal; Ying Zhu 006; Dorin Comaniciu; Michael J. Black (IWCM, 2004)

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

Predicting 3D People from 2D Pictures. - Leonid Sigal; Michael J. Black (AMDO, 2006)

Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation. - Leonid Sigal; Michael J. Black (CVPR (2), 2006)

4GHz+ low-latency fixed-point and binary floating-point execution units for the POWER6 processor. - Brian W. Curran; Bradley D. McCredie; Leonid Sigal; Eric M. Schwarz; Bruce M. Fleischer; Yuen H. Chan; D. Webber; Vaden Vaden; A. Goyal (ISSCC, 2006)

Detailed Human Shape and Pose from Images. - Alexandru O. Balan; Leonid Sigal; Michael J. Black; James E. Davis; Horst W. Haussecker (CVPR, 2007)

Shining a Light on Human Pose: On Shadows, Shading and the Estimation of Pose and Shape. - Alexandru O. Balan; Michael J. Black; Horst W. Haussecker; Leonid Sigal (ICCV, 2007)

Combined discriminative and generative articulated pose and non-rigid shape estimation. - Leonid Sigal; Alexandru O. Balan; Michael J. Black (NIPS, 2007)

Physical simulation for probabilistic motion tracking. - Marek Vondrak; Leonid Sigal; Odest Chadwicke Jenkins (CVPR, 2008)

"Continuous-state Graphical Models for Object Localization, Pose Estimation and Tracking". - Leonid Sigal (2008)

Estimating contact dynamics. - Marcus A. Brubaker; Leonid Sigal; David J. Fleet (ICCV, 2009)

Video-Based People Tracking. - Marcus A. Brubaker; Leonid Sigal; David J. Fleet (Handbook of Ambient Intelligence and Smart Environments, 2010)

Latent Gaussian Mixture Regression for Human Pose Estimation. - Yan Tian; Leonid Sigal; Hernán Badino; Fernando De la Torre; Yong Liu 027 (ACCV (3), 2010)

Dynamical binary latent variable models for 3D human pose tracking. - Graham W. Taylor; Leonid Sigal; David J. Fleet; Geoffrey E. Hinton (CVPR, 2010)

Guest Editorial: State of the Art in Image- and Video-Based Human Pose and Motion Estimation. - Leonid Sigal; Michael J. Black (Int. J. Comput. Vis., 2010)

HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion. - Leonid Sigal; Alexandru O. Balan; Michael J. Black (Int. J. Comput. Vis., 2010)

Stable spaces for real-time clothing. - Edilson de Aguiar; Leonid Sigal; Adrien Treuille; Jessica K. Hodgins (ACM Trans. Graph., 2010)

Benchmark Datasets for Pose Estimation and Tracking. - Mykhaylo Andriluka; Leonid Sigal; Michael J. Black (Visual Analysis of Humans, 2011)

Articulated Pose Estimation and Tracking: Introduction. - Leonid Sigal (Visual Analysis of Humans, 2011)

Inferring 3D body pose using variational semi-parametric regression. - Yan Tian; Yonghua Jia; Yuan Shi; Yong Liu 027; Hao Ji; Leonid Sigal (ICIP, 2011)

Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines. - Matthew D. Zeiler; Graham W. Taylor; Leonid Sigal; Iain A. Matthews; Rob Fergus (NIPS, 2011)

Motion capture from body-mounted cameras. - Takaaki Shiratori; Hyun Soo Park; Leonid Sigal; Yaser Sheikh; Jessica K. Hodgins (ACM Trans. Graph., 2011)

Human Context: Modeling Human-Human Interactions for Monocular 3D Pose Estimation. - Mykhaylo Andriluka; Leonid Sigal (AMDO, 2012)

Social roles in hierarchical models for human activity recognition. - Tian Lan 006; Leonid Sigal; Greg Mori (CVPR, 2012)

Destination Flow for Crowd Simulation. - Stefano Pellegrini; Jürgen Gall; Leonid Sigal; Luc Van Gool (ECCV Workshops (3), 2012)

No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation. - Makoto Yamada; Leonid Sigal; Michalis Raptis (ECCV (4), 2012)

Multi-linear Data-Driven Dynamic Hair Model with Efficient Hair-Body Collision Handling. - Peng Guan; Leonid Sigal; Valeria Reznitskaya; Jessica K. Hodgins (Symposium on Computer Animation, 2012)

High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso - Makoto Yamada; Wittawat Jitkrittum; Leonid Sigal; Masashi Sugiyama (CoRR, 2012)

Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information - Makoto Yamada; Leonid Sigal; Michalis Raptis; Masashi Sugiyama (CoRR, 2012)

Human attributes from 3D pose tracking. - Micha Livne; Leonid Sigal; Nikolaus F. Troje; David J. Fleet (Comput. Vis. Image Underst., 2012)

Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation. - Leonid Sigal; Michael Isard; Horst W. Haussecker; Michael J. Black (Int. J. Comput. Vis., 2012)

Shared Kernel Information Embedding for Discriminative Inference. - Roland Memisevic; Leonid Sigal; David J. Fleet (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Video-based 3D motion capture through biped control. - Marek Vondrak; Leonid Sigal; Jessica K. Hodgins; Odest Chadwicke Jenkins (ACM Trans. Graph., 2012)

Poselet Key-Framing: A Model for Human Activity Recognition. - Michalis Raptis; Leonid Sigal (CVPR, 2013)

From Subcategories to Visual Composites: A Multi-level Framework for Object Detection. - Tian Lan 006; Michalis Raptis; Leonid Sigal; Greg Mori (ICCV, 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)

Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization. - Nataliya Shapovalova; Michalis Raptis; Leonid Sigal; Greg Mori (NIPS, 2013)

Canonical locality preserving Latent Variable Model for discriminative pose inference. - Yan Tian; Leonid Sigal; Fernando De la Torre; Yonghua Jia (Image Vis. Comput., 2013)

Dynamical Simulation Priors for Human Motion Tracking. - Marek Vondrak; Leonid Sigal; Odest Chadwicke Jenkins (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Joint Summarization of Large-Scale Collections of Web Images and Videos for Storyline Reconstruction. - Gunhee Kim; Leonid Sigal; Eric P. Xing (CVPR, 2014)

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

Nonparametric Clustering with Distance Dependent Hierarchies. - Soumya Ghosh; Michalis Raptis; Leonid Sigal; Erik B. Sudderth (UAI, 2014)

Domain Adaptation for Structured Regression. - Makoto Yamada; Leonid Sigal; Yi Chang 001 (Int. J. Comput. Vis., 2014)

High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso. - Makoto Yamada; Wittawat Jitkrittum; Leonid Sigal; Eric P. Xing; Masashi Sugiyama (Neural Comput., 2014)

Covariate Shift Adaptation for Discriminative 3D Pose Estimation. - Makoto Yamada; Leonid Sigal; Michalis Raptis (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Human Pose Estimation. - Leonid Sigal (Computer Vision, A Reference Guide, 2014)

A Unified Semantic Embedding: Relating Taxonomies and Attributes. - Sung Ju Hwang; Leonid Sigal (AAAI Spring Symposia, 2015)

Ranking and retrieval of image sequences from multiple paragraph queries. - Gunhee Kim; Seungwhan Moon; Leonid Sigal (CVPR, 2015)

Joint photo stream and blog post summarization and exploration. - Gunhee Kim; Seungwhan Moon; Leonid Sigal (CVPR, 2015)

Expanding object detector's Horizon: Incremental learning framework for object detection in videos. - Alina Kuznetsova; Sung Ju Hwang; Bodo Rosenhahn; Leonid Sigal (CVPR, 2015)

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

Storyline Representation of Egocentric Videos with an Applications to Story-Based Search. - Bo Xiong; Gunhee Kim; Leonid Sigal (ICCV, 2015)

Learning from Synthetic Data Using a Stacked Multichannel Autoencoder. - Xi Zhang; Yanwei Fu 001; Shanshan Jiang; Leonid Sigal; Gady Agam (ICMLA, 2015)

Discovering Collective Narratives of Theme Parks from Large Collections of Visitors' Photo Streams. - Gunhee Kim; Leonid Sigal (KDD, 2015)

Family Member Identification from Photo Collections. - Qieyun Dai; Peter Carr 001; Leonid Sigal; Derek Hoiem (WACV, 2015)

Learning to Select and Order Vacation Photographs. - Fereshteh Sadeghi; J. Rafael Tena; Ali Farhadi; Leonid Sigal (WACV, 2015)

Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder. - Xi Zhang; Yanwei Fu 001; Andi Zang; Leonid Sigal; Gady Agam (CoRR, 2015)

Hierarchical Maximum-Margin Clustering. - Guang-Tong Zhou; Sung Ju Hwang; Mark Schmidt 001; Leonid Sigal; Greg Mori (CoRR, 2015)

Cross-Domain Matching with Squared-Loss Mutual Information. - Makoto Yamada; Leonid Sigal; Michalis Raptis; Machiko Toyoda; Yi Chang 001; Masashi Sugiyama (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

A perceptual control space for garment simulation. - Leonid Sigal; Moshe Mahler; Spencer Diaz; Kyna McIntosh; Elizabeth J. Carter; Timothy Richards; Jessica K. Hodgins (ACM Trans. Graph., 2015)

Knowledge Transfer with Interactive Learning of Semantic Relationships. - Jonghyun Choi; Sung Ju Hwang; Leonid Sigal; Larry S. Davis (AAAI, 2016)

Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach. - Alina Kuznetsova; Sung Ju Hwang; Bodo Rosenhahn; Leonid Sigal (AAAI, 2016)

Learning to Generate Posters of Scientific Papers. - Yuting Qiang; Yanwei Fu 001; Yanwen Guo 001; Zhi-Hua Zhou; Leonid Sigal (AAAI, 2016)

Real-time Physics-based Motion Capture with Sparse Sensors. - Sheldon Andrews; Ivan Huerta Casado; Taku Komura; Leonid Sigal; Kenny Mitchell (CVMP, 2016)

Semi-supervised Vocabulary-Informed Learning. - Yanwei Fu 001; Leonid Sigal (CVPR, 2016)

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

Harnessing Object and Scene Semantics for Large-Scale Video Understanding. - Zuxuan Wu; Yanwei Fu 001; Yu-Gang Jiang 001; Leonid Sigal (CVPR, 2016)

Video Emotion Recognition with Transferred Deep Feature Encodings. - Baohan Xu; Yanwei Fu 001; Yu-Gang Jiang 001; Boyang Li 001; Leonid Sigal (ICMR, 2016)

Learning Language-Visual Embedding for Movie Understanding with Natural-Language. - Atousa Torabi; Niket Tandon; Leonid Sigal (CoRR, 2016)

Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures. - Fanyi Xiao; Leonid Sigal; Yong Jae Lee (CVPR, 2017)

Non-parametric Structured Output Networks. - Andreas M. Lehrmann; Leonid Sigal (NIPS, 2017)

Visual Reference Resolution using Attention Memory for Visual Dialog. - Paul Hongsuck Seo; Andreas M. Lehrmann; Bohyung Han; Leonid Sigal (NIPS, 2017)

Learn How to Choose: Independent Detectors Versus Composite Visual Phrases. - Guy Rosenthal; Ariel Shamir; Leonid Sigal (WACV, 2017)

Semi-Latent GAN: Learning to generate and modify facial images from attributes. - Weidong Yin; Yanwei Fu 001; Leonid Sigal; Xiangyang Xue 001 (CoRR, 2017)

Action Classification and Highlighting in Videos. - Atousa Torabi; Leonid Sigal (CoRR, 2017)

Recent Advances in Zero-shot Recognition. - Yanwei Fu 001; Tao Xiang 002; Yu-Gang Jiang 001; Xiangyang Xue 001; Leonid Sigal; Shaogang Gong (CoRR, 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)

Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture. - Micha Livne; Leonid Sigal; Marcus A. Brubaker; David J. Fleet (CRV, 2018)

A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH). - Pelin Dogan; Boyang Li 001; Leonid Sigal; Markus H. Gross (CVPR, 2018)

Show Me a Story: Towards Coherent Neural Story Illustration. - Hareesh Ravi; Lezi Wang; Carlos Muñiz 001; Leonid Sigal; Dimitris N. Metaxas; Mubbasir Kapadia (CVPR, 2018)

Probabilistic Video Generation Using Holistic Attribute Control. - Jiawei He 001; Andreas M. Lehrmann; Joseph Marino; Greg Mori; Leonid Sigal (ECCV (5), 2018)

Modular Generative Adversarial Networks. - Bo Zhao 032; Bo Chang 002; Zequn Jie; Leonid Sigal (ECCV (14), 2018)

Middle-Out Decoding. - Shikib Mehri; Leonid Sigal (NeurIPS, 2018)

Story Albums: Creating Fictional Stories From Personal Photograph Sets. - Oz Radiano; Yonatan Graber; Moshe Mahler; Leonid Sigal; Arik Shamir (Comput. Graph. Forum, 2018)

LSTM stack-based Neural Multi-sequence Alignment TeCHnique (NeuMATCH). - Pelin Dogan; Boyang Li 001; Leonid Sigal; Markus H. Gross (CoRR, 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)

Semantic Feature Augmentation in Few-shot Learning. - Zitian Chen; Yanwei Fu 001; Yinda Zhang 001; Yu-Gang Jiang 001; Xiangyang Xue 001; Leonid Sigal (CoRR, 2018)

Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos. - Lili Meng; Bo Zhao 032; Bo Chang 002; Gao Huang 001; Frederick Tung; Leonid Sigal (CoRR, 2018)

Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective. - Hanze Dong; Yanwei Fu 001; Leonid Sigal; Sung Ju Hwang; Yu-Gang Jiang 001; Xiangyang Xue 001 (CoRR, 2018)

Towards Traversing the Continuous Spectrum of Image Retrieval. - Ziad Al-Halah; Andreas M. Lehrmann; Leonid Sigal (CoRR, 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)

Recent Advances in Zero-Shot Recognition: Toward Data-Efficient Understanding of Visual Content. - Yanwei Fu 001; Tao Xiang 002; Yu-Gang Jiang 001; Xiangyang Xue 001; Leonid Sigal; Shaogang Gong (IEEE Signal Process. Mag., 2018)

Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization. - Baohan Xu; Yanwei Fu 001; Yu-Gang Jiang 001; Boyang Li 001; Leonid Sigal (IEEE Trans. Affect. Comput., 2018)

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)

Spatio-temporal Relational Reasoning for Video Question Answering. - Gursimran Singh; Leonid Sigal; James J. Little (BMVC, 2019)

DwNet: Dense warp-based network for pose-guided human video generation. - Polina Zablotskaia; Aliaksandr Siarohin; Bo Zhao; Leonid Sigal (BMVC, 2019)

Neural Sequential Phrase Grounding (SeqGROUND). - Pelin Dogan; Leonid Sigal; Markus H. Gross (CVPR, 2019)

A Variational Auto-Encoder Model for Stochastic Point Processes. - Nazanin Mehrasa; Akash Abdu Jyothi; Thibaut Durand; Jiawei He 001; Leonid Sigal; Greg Mori (CVPR, 2019)

Image Generation From Layout. - Bo Zhao; Lili Meng; Weidong Yin; Leonid Sigal (CVPR, 2019)

G3raphGround: Graph-Based Language Grounding. - Mohit Bajaj; Lanjun Wang; Leonid Sigal (ICCV, 2019)

LayoutVAE: Stochastic Scene Layout Generation From a Label Set. - Akash Abdu Jyothi; Thibaut Durand; Jiawei He 001; Leonid Sigal; Greg Mori (ICCV, 2019)

AttentionRNN: A Structured Spatial Attention Mechanism. - Siddhesh Khandelwal; Leonid Sigal (ICCV, 2019)

Watch, Listen and Tell: Multi-Modal Weakly Supervised Dense Event Captioning. - Tanzila Rahman; Bicheng Xu; Leonid Sigal (ICCV, 2019)

Mixture-Kernel Graph Attention Network for Situation Recognition. - Mohammed Suhail; Leonid Sigal (ICCV, 2019)

Interpretable Spatio-Temporal Attention for Video Action Recognition. - Lili Meng; Bo Zhao 032; Bo Chang 002; Gao Huang 001; Wei Sun; Frederick Tung; Leonid Sigal (ICCV Workshops, 2019)

Weakly-Supervised Spatial Context Networks. - Zuxuan Wu; Larry Davis 001; Leonid Sigal (WACV, 2019)

Joint Event Detection and Description in Continuous Video Streams. - Huijuan Xu 001; Boyang Li 001; Vasili Ramanishka; Leonid Sigal; Kate Saenko (WACV Workshops, 2019)

OptiBox: Breaking the Limits of Proposals for Visual Grounding. - Zicong Fan; Si Yi Meng; Leonid Sigal; James J. Little (CoRR, 2019)

Zero-Shot Generation of Human-Object Interaction Videos. - Megha Nawhal; Mengyao Zhai; Andreas M. Lehrmann; Leonid Sigal (CoRR, 2019)

Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models. - Yuting Qiang; Yanwei Fu 001; Xiao Yu; Yanwen Guo 001; Zhi-Hua Zhou; Leonid Sigal (J. Comput. Sci. Technol., 2019)

Multi-Level Semantic Feature Augmentation for One-Shot Learning. - Zitian Chen; Yanwei Fu 001; Yinda Zhang 001; Yu-Gang Jiang 001; Xiangyang Xue 001; Leonid Sigal (IEEE Trans. Image Process., 2019)

Attribute-Guided Image Generation from Layout. - Ke Ma; Bo Zhao; Leonid Sigal (BMVC, 2020)

Improved Few-Shot Visual Classification. - Peyman Bateni; Raghav Goyal; Vaden Masrani; Frank Wood; Leonid Sigal (CVPR, 2020)

Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction. - Yuan Yao; Nico Schertler; Enrique Rosales; Helge Rhodin; Leonid Sigal; Alla Sheffer (CVPR, 2020)

Generating Videos of Zero-Shot Compositions of Actions and Objects. - Megha Nawhal; Mengyao Zhai; Andreas M. Lehrmann; Leonid Sigal; Greg Mori (ECCV (12), 2020)

Variational Hyper RNN for Sequence Modeling. - Ruizhi Deng; Yanshuai Cao; Bo Chang 002; Leonid Sigal; Greg Mori; Marcus A. Brubaker (CoRR, 2020)

Consistent Multiple Sequence Decoding. - Bicheng Xu; Leonid Sigal (CoRR, 2020)

Weakly-supervised Any-shot Object Detection. - Siddhesh Khandelwal; Raghav Goyal; Leonid Sigal (CoRR, 2020)

Unsupervised Video Decomposition using Spatio-temporal Iterative Inference. - Polina Zablotskaia; Edoardo A. Dominici; Leonid Sigal; Andreas M. Lehrmann (CoRR, 2020)

Person-in-Context Synthesiswith Compositional Structural Space. - Weidong Yin; Ziwei Liu 002; Leonid Sigal (CoRR, 2020)

Layout2image: Image Generation from Layout. - Bo Zhao 032; Weidong Yin; Lili Meng; Leonid Sigal (Int. J. Comput. Vis., 2020)

Vocabulary-Informed Zero-Shot and Open-Set Learning. - Yanwei Fu 001; Xiaomei Wang; Hanze Dong; Yu-Gang Jiang 001; Meng Wang 001; Xiangyang Xue 001; Leonid Sigal (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

DeepCT: A novel deep complex-valued network with learnable transform for video saliency prediction. - Lai Jiang; Mai Xu; Shanyi Zhang; Leonid Sigal (Pattern Recognit., 2020)

Predicting Personality from Book Preferences with User-Generated Content Labels. - Ng Annalyn; Maarten W. Bos; Leonid Sigal; Boyang Li 001 (IEEE Trans. Affect. Comput., 2020)

PolyFit: perception-aligned vectorization of raster clip-art via intermediate polygonal fitting. - Edoardo Alberto Dominici; Nico Schertler; Jonathan Griffin; Shayan Hoshyari; Leonid Sigal; Alla Sheffer (ACM Trans. Graph., 2020)

A Simple Baseline for Weakly-Supervised Human-centric Relation Detection. - Raghav Goyal; Leonid Sigal (BMVC, 2021)

Saliency-Guided Image Translation. - Lai Jiang; Mai Xu; Xiaofei Wang 004; Leonid Sigal (CVPR, 2021)

UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation. - Siddhesh Khandelwal; Raghav Goyal; Leonid Sigal (CVPR, 2021)

An Improved Attention for Visual Question Answering. - Tanzila Rahman; Shih-Han Chou; Leonid Sigal; Giuseppe Carenini (CVPR Workshops, 2021)

Energy-Based Learning for Scene Graph Generation. - Mohammed Suhail; Abhay Mittal; Behjat Siddiquie; Chris Broaddus; Jayan Eledath; Gérard G. Medioni; Leonid Sigal (CVPR, 2021)

Segmentation-grounded Scene Graph Generation. - Siddhesh Khandelwal; Mohammed Suhail; Leonid Sigal (ICCV, 2021)

Weakly-Supervised Audio-Visual Sound Source Detection and Separation. - Tanzila Rahman; Leonid Sigal (ICME, 2021)

Referring Transformer: A One-step Approach to Multi-task Visual Grounding. - Muchen Li; Leonid Sigal (NeurIPS, 2021)

TriBERT: Human-centric Audio-visual Representation Learning. - Tanzila Rahman; Mengyu Yang; Leonid Sigal (NeurIPS, 2021)

PROVIDE: a probabilistic framework for unsupervised video decomposition. - Polina Zablotskaia; Edoardo A. Dominici; Leonid Sigal; Andreas M. Lehrmann (UAI, 2021)

Person-in-Context Synthesis with Compositional Structural Space. - Weidong Yin; Ziwei Liu 002; Leonid Sigal (WACV, 2021)

TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation. - Tanzila Rahman; Mengyu Yang; Leonid Sigal (CoRR, 2021)

DeepVS2.0: A Saliency-Structured Deep Learning Method for Predicting Dynamic Visual Attention. - Lai Jiang; Mai Xu; Zulin Wang; Leonid Sigal (Int. J. Comput. Vis., 2021)

Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment. - Jing Wang 112; Jiahong Chen; Jianzhe Lin; Leonid Sigal; Clarence W. de Silva (Pattern Recognit., 2021)

Guest Editorial Introduction to the Special Issue on Large-Scale Visual Sensor Networks: Architectures and Applications. - Paolo Spagnolo; Hamid Aghajan 001; George Bebis; Shaogang Gong; Amy Loutfi; Leonid Sigal; Wei-Shi Zheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Semi-supervised Grounding Alignment for Multi-modal Feature Learning. - Shih-Han Chou; Zicong Fan; James J. Little; Leonid Sigal (CRV, 2022)

Light Field Neural Rendering. - Mohammed Suhail; Carlos Esteves; Leonid Sigal; Ameesh Makadia (CVPR, 2022)

Layered Controllable Video Generation. - Jiahui Huang; Yuhe Jin; Kwang Moo Yi; Leonid Sigal (ECCV (16), 2022)

Generalizable Patch-Based Neural Rendering. - Mohammed Suhail; Carlos Esteves; Leonid Sigal; Ameesh Makadia (ECCV (32), 2022)

Iterative Scene Graph Generation. - Siddhesh Khandelwal; Leonid Sigal (NeurIPS, 2022)

Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning. - Peyman Bateni; Jarred Barber; Raghav Goyal; Vaden Masrani; Jan-Willem van de Meent; Leonid Sigal; Frank Wood (CoRR, 2022)

Self-supervision through Random Segments with Autoregressive Coding (RandSAC). - Tianyu Hua; Yonglong Tian; Sucheng Ren; Hang Zhao; Leonid Sigal (CoRR, 2022)

Real-Time Monitoring of User Stress, Heart Rate and Heart Rate Variability on Mobile Devices. - Peyman Bateni; Leonid Sigal (CoRR, 2022)

GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models. - Muchen Li; Jeffrey Yunfan Liu; Leonid Sigal; Renjie Liao (CoRR, 2022)

Semantically Enhanced Global Reasoning for Semantic Segmentation. - Mir Rayat Imtiaz Hossain; Leonid Sigal; James J. Little (CoRR, 2022)

Learning the Compositional Domains for Generalized Zero-shot Learning. - Hanze Dong; Yanwei Fu 001; Sung Ju Hwang; Leonid Sigal; Xiangyang Xue 001 (Comput. Vis. Image Underst., 2022)

Weakly-supervised Spatially Grounded Concept Learner for Few-Shot Learning. - Gaurav Bhatt; Deepayan Das; Leonid Sigal; Vineeth N. Balasubramanian (BMVC, 2023)

DINN360: Deformable Invertible Neural Network for Latitude-aware 360° Image Rescaling. - Yichen Guo; Mai Xu; Lai Jiang; Leonid Sigal; Yunjin Chen (CVPR, 2023)

Make-A-Story: Visual Memory Conditioned Consistent Story Generation. - Tanzila Rahman; Hsin-Ying Lee 001; Jian Ren 005; Sergey Tulyakov; Shweta Mahajan; Leonid Sigal (CVPR, 2023)

Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video. - Mohammed Suhail; Erika Lu; Zhengqi Li; Noah Snavely; Leonid Sigal; Forrester Cole (CVPR, 2023)

Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching. - Junpeng Jing; Jiankun Li; Pengfei Xiong; Jiangyu Liu; Shuaicheng Liu; Yichen Guo; Xin Deng 002; Mai Xu; Lai Jiang; Leonid Sigal (ICCV, 2023)

Self-supervision through Random Segments with Autoregressive Coding (RandSAC). - Tianyu Hua; Yonglong Tian; Sucheng Ren; Michalis Raptis; Hang Zhao; Leonid Sigal (ICLR, 2023)

Optimizing DNN based quality assessment metric for image compression: A novel rate control method. - Qiuyue Fang; Tao Xu; Lai Jiang; Shengxi Li; Mai Xu; Yunjin Chen; Leonid Sigal (ICME, 2023)

Mitigating the Effect of Incidental Correlations on Part-based Learning. - Gaurav Bhatt; Deepayan Das; Leonid Sigal; Vineeth N. Balasubramanian (NeurIPS, 2023)

VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge. - Sahithya Ravi; Aditya Chinchure; Leonid Sigal; Renjie Liao; Vered Shwartz (WACV, 2023)

Frustratingly Simple but Effective Zero-shot Detection and Segmentation: Analysis and a Strong Baseline. - Siddhesh Khandelwal; Anirudth Nambirajan; Behjat Siddiquie; Jayan Eledath; Leonid Sigal (CoRR, 2023)

MINOTAUR: Multi-task Video Grounding From Multimodal Queries. - Raghav Goyal; Effrosyni Mavroudi; Xitong Yang; Sainbayar Sukhbaatar; Leonid Sigal; Matt Feiszli; Lorenzo Torresani; Du Tran (CoRR, 2023)

INVE: Interactive Neural Video Editing. - Jiahui Huang; Leonid Sigal; Kwang Moo Yi; Oliver Wang; Joon-Young Lee (CoRR, 2023)

Plug-and-Play, Dense-Label-Free Extraction of Open-Vocabulary Semantic Segmentation from Vision-Language Models. - Jiayun Luo; Siddhesh Khandelwal; Leonid Sigal; Boyang Li 001 (CoRR, 2023)

M3T: Multi-Scale Memory Matching for Video Object Segmentation and Tracking. - Raghav Goyal; Wan-Cyuan Fan; Mennatullah Siam; Leonid Sigal (CoRR, 2023)

GraphPNAS: Learning Probabilistic Graph Generators for Neural Architecture Search. - Muchen Li; Jeffrey Yunfan Liu; Leonid Sigal; Renjie Liao (Trans. Mach. Learn. Res., 2023)

Subpixel Deblurring of Anti-Aliased Raster Clip-Art. - Jinfan Yang; Nicholas Vining; S. Kheradmand; Nathan Carr 001; Leonid Sigal; Alla Sheffer (Comput. Graph. Forum, 2023)

Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach. - Mir Rayat Imtiaz Hossain; Mennatullah Siam; Leonid Sigal; James J. Little (CVPR, 2024)

Emergent Open-Vocabulary Semantic Segmentation from Off-the-Shelf Vision-Language Models. - Jiayun Luo; Siddhesh Khandelwal; Leonid Sigal; Boyang Li 001 (CVPR, 2024)

Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models. - Shweta Mahajan; Tanzila Rahman; Kwang Moo Yi; Leonid Sigal (CVPR, 2024)

Preventing Catastrophic Forgetting Through Memory Networks in Continuous Detection. - Gaurav Bhatt; James Ross; Leonid Sigal (ECCV (84), 2024)

TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models. - Aditya Chinchure; Pushkar Shukla; Gaurav Bhatt; Kiri Salij; Kartik Hosanagar; Leonid Sigal; Matthew Turk 001 (ECCV (79), 2024)

The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. - Matej Kristan; Jirí Matas; Pavel Tokmakov; Michael Felsberg; Luka Cehovin Zajc; Alan Lukezic; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; Hyung Jin Chang; Gustavo Fernández; Minasadat Attari; et al. (ECCV Workshops (7), 2024)

Saliency Prediction of Sports Videos: A Large-Scale Database and a Self-Adaptive Approach. - Minglang Qiao; Mai Xu; Shijie Wen; Lai Jiang; Shengxi Li; Tao Xu; Yunjin Chen; Leonid Sigal (ICASSP, 2024)

Extending Video Masked Autoencoders to 128 frames. - Nitesh Bharadwaj Gundavarapu; Luke Friedman; Raghav Goyal; Chaitra Hegde; Eirikur Agustsson; Sagar Waghmare; Mikhail Sirotenko; Ming-Hsuan Yang 001; Tobias Weyand; Boqing Gong; Leonid Sigal (NeurIPS, 2024)

Framework-agnostic Semantically-aware Global Reasoning for Segmentation. - Mir Rayat Imtiaz Hossain; Leonid Sigal; James J. Little (WACV, 2024)

Self-Supervised Relation Alignment for Scene Graph Generation. - Bicheng Xu; Renjie Liao; Leonid Sigal (WACV, 2024)

Joint Generative Modeling of Scene Graphs and Images via Diffusion Models. - Bicheng Xu; Qi Yan; Renjie Liao; Lele Wang 001; Leonid Sigal (CoRR, 2024)

Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews). - Shih-Han Chou; Matthew Kowal; Yasmin Niknam; Diana Moyano; Shayaan Mehdi; Richard Pito; Cheng Zhang; Ian Knopke; Sedef Akinli Koçak; Leonid Sigal; Yalda Mohsenzadeh (CoRR, 2024)

Visual Concept-driven Image Generation with Text-to-Image Diffusion Model. - Tanzila Rahman; Shweta Mahajan; Hsin-Ying Lee 001; Jian Ren 005; Sergey Tulyakov; Leonid Sigal (CoRR, 2024)

Representing Animatable Avatar via Factorized Neural Fields. - Chunjin Song; Zhijie Wu; Bastian Wandt; Leonid Sigal; Helge Rhodin (CoRR, 2024)

On Pre-training of Multimodal Language Models Customized for Chart Understanding. - Wan-Cyuan Fan; Yen-Chun Chen 001; Mengchen Liu; Lu Yuan; Leonid Sigal (CoRR, 2024)

Response Wide Shut: Surprising Observations in Basic Vision Language Model Capabilities. - Shivam Chandhok; Wan-Cyuan Fan; Leonid Sigal (CoRR, 2024)

MM-R3: On (In-)Consistency of Multi-modal Large Language Models (MLLMs). - Shih-Han Chou; Shivam Chandhok; James J. Little; Leonid Sigal (CoRR, 2024)

Four-Plane Factorized Video Autoencoders. - Mohammed Suhail; Carlos Esteves; Leonid Sigal; Ameesh Makadia (CoRR, 2024)

Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Losses. - Jiayun Luo; Mir Rayat Imtiaz Hossain; Boyang Li 001; Leonid Sigal (CoRR, 2024)

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images. - Yasamin Medghalchi; Moein Heidari; Clayton Allard; Leonid Sigal; Ilker Hacihaliloglu (CoRR, 2024)

MMFactory: A Universal Solution Search Engine for Vision-Language Tasks. - Wan-Cyuan Fan; Tanzila Rahman; Leonid Sigal (CoRR, 2024)

Implicit and explicit commonsense for multi-sentence video captioning. - Shih-Han Chou; James J. Little; Leonid Sigal (Comput. Vis. Image Underst., 2024)

What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context. - Jing Wang 112; Wonho Bae; Jiahong Chen; Kuangen Zhang; Leonid Sigal; Clarence W. de Silva (Trans. Mach. Learn. Res., 2024)

Training feedforward neural nets in Hopfield-energy-based configuration: A two-step approach. - Jing Wang 112; Jiahong Chen; Kuangen Zhang; Leonid Sigal (Pattern Recognit., 2024)

HyperSOR: Context-Aware Graph Hypernetwork for Salient Object Ranking. - Minglang Qiao; Mai Xu; Lai Jiang; Peng Lei; Shijie Wen; Yunjin Chen; Leonid Sigal (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Proposal With Alignment: A Bi-Directional Transformer for 360° Video Viewport Proposal. - Yichen Guo; Mai Xu; Lai Jiang; Xin Deng 002; Jing Zhou; Gaoxing Chen; Leonid Sigal (IEEE Trans. Circuits Syst. Video Technol., 2024)

Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities. - Shivam Chandhok; Wan-Cyuan Fan; Vered Shwartz; Vineeth N. Balasubramanian; Leonid Sigal (ACL (1), 2025)

MM-R³: On (In-)Consistency of Vision-Language Models (VLMs). - Shih-Han Chou; Shivam Chandhok; Jim Little 001; Leonid Sigal (ACL (Findings), 2025)

Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events. - Aditya Chinchure; Sahithya Ravi; Raymond T. Ng; Vered Shwartz; Boyang Li; Leonid Sigal (CVPR, 2025)

LatentHOI: On the Generalizable Hand Object Motion Generation with Latent Hand Diffusion. - Muchen Li; Sammy Christen; Chengde Wan; Yujun Cai; Renjie Liao; Leonid Sigal; Shugao Ma (CVPR, 2025)

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attack on Breast Ultrasound Images. - Yasamin Medghalchi; Moein Heidari; Clayton Allard; Leonid Sigal; Ilker Hacihaliloglu (CVPR, 2025)

Locality Sensitive Avatars From Video. - Chunjin Song; Zhijie Wu; Shih-Yang Su; Bastian Wandt; Leonid Sigal; Helge Rhodin (ICLR, 2025)

TAM-VT: Transformation-Aware Multi-Scale Video Transformer for Segmentation and Tracking. - Raghav Goyal; Wan-Cyuan Fan; Mennatullah Siam; Leonid Sigal (WACV, 2025)

Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models. - Bicheng Xu; Qi Yan; Renjie Liao; Lele Wang 001; Leonid Sigal (Trans. Mach. Learn. Res., 2025)

Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation. - Sadegh Mahdavi; Muchen Li; Kaiwen Liu; Christos Thrampoulidis; Leonid Sigal; Renjie Liao (CoRR, 2025)

BiasConnect: Investigating Bias Interactions in Text-to-Image Models. - Pushkar Shukla; Aditya Chinchure; Emily Diana; Alexander Tolbert; Kartik Hosanagar; Vineeth N. Balasubramanian; Leonid Sigal; Matthew A. Turk (CoRR, 2025)

The Power of One: A Single Example is All it Takes for Segmentation in VLMs. - Mir Rayat Imtiaz Hossain; Mennatullah Siam; Leonid Sigal; James J. Little (CoRR, 2025)

ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes. - Amartya Mukherjee; Ruizhi Deng; He Zhao; Yuzhen Mao; Leonid Sigal; Frederick Tung (CoRR, 2025)

Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks. - Yixin Cheng; Hongcheng Guo; Yangming Li; Leonid Sigal (CoRR, 2025)

Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models. - Pushkar Shukla; Aditya Chinchure; Emily Diana; Alexander Tolbert; Kartik Hosanagar; Vineeth N. Balasubramanian; Leonid Sigal; Matthew Turk 001 (CoRR, 2025)

Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection. - Shivam Chandhok; Qian Yang; Oscar Mañas; Kanishk Jain; Leonid Sigal; Aishwarya Agrawal (CoRR, 2025)

Test-Time Consistency in Vision Language Models. - Shih-Han Chou; Shivam Chandhok; James J. Little; Leonid Sigal (CoRR, 2025)

In-Depth and In-Breadth: Pre-training Multimodal Language Models Customized for Comprehensive Chart Understanding. - Wan-Cyuan Fan; Yen-Chun Chen 001; Mengchen Liu; Alexander Jacobson; Lu Yuan; Leonid Sigal (CoRR, 2025)

RewardRank: Optimizing True Learning-to-Rank Utility. - Gaurav Bhatt; Kiran Koshy Thekumparampil; Tanmay Gangwani; Tesi Xiao; Leonid Sigal (CoRR, 2025)