Stan Sclaroff

288 papers A* 68A 12B 13C 1Misc 1Journal 112Unranked 65
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generalized prompt-driven zero-shot domain adaptive segmentation with feature rectification and semantic modulation.
Comput. Vis. Image Underst.
Jinyi Li, Longyu Yang, Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Xiaofeng Zhu, Ping Hu
2024 J jnl
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations.
IEEE Trans. Pattern Anal. Mach. Intell.
Ping Hu, Ximeng Sun, Stan Sclaroff, Kate Saenko
2024 J jnl
Video Frame Interpolation With Many-to-Many Splatting and Spatial Selective Refinement.
IEEE Trans. Pattern Anal. Mach. Intell.
Ping Hu, Simon Niklaus, Lu Zhang, Stan Sclaroff, Kate Saenko
2023 J jnl
ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction.
IEEE Trans. Biom. Behav. Identity Sci.
Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Tom Murray, John J. Magee, Kevin Delgado, Vitaly Ablavsky, Stan Sclaroff, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, Margrit Betke
2023 J jnl
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations.
CoRR
Ping Hu, Ximeng Sun, Stan Sclaroff, Kate Saenko
2023 J jnl
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing.
CoRR
Ariel N. Lee, Sarah Adel Bargal, Janavi Kasera, Stan Sclaroff, Kate Saenko, Nataniel Ruiz
2023 A* conf
Practical Disruption of Image Translation Deepfake Networks.
AAAI
Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Stan Sclaroff
2023 — conf
The 7th AI City Challenge.
CVPR Workshops
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa
2023 J jnl
The 7th AI City Challenge.
CoRR
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa
2023 J jnl
Video Frame Interpolation with Many-to-many Splatting and Spatial Selective Refinement.
CoRR
Ping Hu, Simon Niklaus, Lu Zhang, Stan Sclaroff, Kate Saenko
2022 — conf
A Broad Study of Pre-training for Domain Generalization and Adaptation.
ECCV (33)
Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko
2022 J jnl
A Broad Study of Pre-training for Domain Generalization and Adaptation.
CoRR
Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko
2022 — conf
A Unified Framework for Domain Adaptive Pose Estimation.
ECCV (33)
Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff
2022 J jnl
A Unified Framework for Domain Adaptive Pose Estimation.
CoRR
Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff
2022 J jnl
Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs.
Frontiers Comput. Sci.
Shoumik Sovan Majumdar, Shubhangi Jain, Isidora Chara Tourni, Arsenii Mustafin, Diala Lteif, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal
2022 A* conf
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing.
NeurIPS
Nataniel Ruiz, Sarah A. Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff
2022 J jnl
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing.
CoRR
Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff
2022 — ed.
Image Analysis and Processing - ICIAP 2022 - 21st International Conference, Lecce, Italy, May 23-27, 2022, Proceedings, Part I
ICIAP (1)
Stan Sclaroff, Cosimo Distante, Marco Leo, Giovanni Maria Farinella, Federico Tombari
2022 — ed.
Image Analysis and Processing - ICIAP 2022 - 21st International Conference, Lecce, Italy, May 23-27, 2022, Proceedings, Part II
ICIAP (2)
Stan Sclaroff, Cosimo Distante, Marco Leo, Giovanni Maria Farinella, Federico Tombari
2022 — ed.
Image Analysis and Processing - ICIAP 2022 - 21st International Conference, Lecce, Italy, May 23-27, 2022, Proceedings, Part III
ICIAP (3)
Stan Sclaroff, Cosimo Distante, Marco Leo, Giovanni Maria Farinella, Federico Tombari
2022 — ed.
Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Lecce, Italy, May 23-27, 2022, Revised Selected Papers, Part I
ICIAP Workshops (1)
Pier Luigi Mazzeo, Emanuele Frontoni, Stan Sclaroff, Cosimo Distante
2022 — ed.
Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Lecce, Italy, May 23-27, 2022, Revised Selected Papers, Part II
ICIAP Workshops (2)
Pier Luigi Mazzeo, Emanuele Frontoni, Stan Sclaroff, Cosimo Distante
2022 J jnl
Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation.
IEEE Trans. Image Process.
Ping Hu, Stan Sclaroff, Kate Saenko
2022 A* conf
Many-to-many Splatting for Efficient Video Frame Interpolation.
CVPR
Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko
2022 J jnl
Many-to-many Splatting for Efficient Video Frame Interpolation.
CoRR
Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko
2022 — conf
Multi-varied Cumulative Alignment for Domain Adaptation.
ICIAP (2)
Marc Oliu, Sarah Adel Bargal, Stan Sclaroff, Xavier Baró, Sergio Escalera
2022 J jnl
Revisiting Image-Language Networks for Open-Ended Phrase Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
2022 A* conf
Simulated Adversarial Testing of Face Recognition Models.
CVPR
Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff
2022 J jnl
Temporal Relevance Analysis for Video Action Models.
CoRR
Quanfu Fan, Donghyun Kim, Chun-Fu Chen, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal
2022 — conf
The 6th AI City Challenge.
CVPR Workshops
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa
2022 J jnl
The 6th AI City Challenge.
CoRR
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa
2021 A* conf
CDS: Cross-Domain Self-supervised Pre-training.
ICCV
Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
2021 J jnl
CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions.
CoRR
Qi Feng, Vitaly Ablavsky, Stan Sclaroff
2021 A conf
Distillation Multiple Choice Learning for Multimodal Action Recognition.
WACV
Nuno Cruz Garcia, Sarah Adel Bargal, Vitaly Ablavsky, Pietro Morerio, Vittorio Murino, Stan Sclaroff
2021 J jnl
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks.
Int. J. Comput. Vis.
Andrea Zunino, Sarah Adel Bargal, Pietro Morerio, Jianming Zhang, Stan Sclaroff, Vittorio Murino
2021 — conf
Explainable Deep Classification Models for Domain Generalization.
CVPR Workshops
Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko
2021 J jnl
Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions.
IEEE Trans. Pattern Anal. Mach. Intell.
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
2021 A* conf
Learning Cross-Modal Contrastive Features for Video Domain Adaptation.
ICCV
Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker
2021 J jnl
Learning Cross-modal Contrastive Features for Video Domain Adaptation.
CoRR
Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker
2021 B conf
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System.
FG
Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Thomas J. Murray, John J. Magee, Jacob Whitehill, Vitaly Ablavsky, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke
2021 — conf
MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention.
ICCVW
Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gérard G. Medioni
2021 — ed.
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part I
ICPR Workshops (1)
Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani
2021 — ed.
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part II
ICPR Workshops (2)
Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani
2021 — ed.
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part III
ICPR Workshops (3)
Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani
2021 — ed.
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part IV
ICPR Workshops (4)
Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani
2021 — ed.
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part V
ICPR Workshops (5)
Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani
2021 — ed.
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part VI
ICPR Workshops (6)
Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani
2021 — ed.
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part VII
ICPR Workshops (7)
Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani
2021 — ed.
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part VIII
ICPR Workshops (8)
Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani
2021 J jnl
Real-Time Semantic Segmentation With Fast Attention.
IEEE Robotics Autom. Lett.
Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff
2021 — conf
Self-supervised Visual Attribute Learning for Fashion Compatibility.
ICCVW
Donghyun Kim, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer
2021 A* conf
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers.
CVPR
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff
2021 J jnl
Simulated Adversarial Testing of Face Recognition Models.
CoRR
Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff
2021 — conf
The 5th AI City Challenge.
CVPR Workshops
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. López, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff
2021 J jnl
The 5th AI City Challenge.
CoRR
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff
2021 A* conf
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density.
ICCV
Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
2021 J jnl
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density.
CoRR
Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
2020 — conf
Beyond the Visual Analysis of Deep Model Saliency.
xxAI@ICML
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Vittorio Murino, Stan Sclaroff, Kate Saenko
2020 J jnl
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels.
CoRR
Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
2020 A conf
DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation.
WACV
Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff
2020 — conf
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems.
ECCV Workshops (4)
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff
2020 J jnl
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems.
CoRR
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff
2020 J jnl
Explainable Deep Classification Models for Domain Generalization.
CoRR
Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko
2020 J jnl
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System.
CoRR
Nataniel Ruiz, Mona Jalal, Vitaly Ablavsky, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke
2020 A* conf
MULE: Multimodal Universal Language Embedding.
AAAI
Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2020 J jnl
Multi-Task Learning from Videos via Efficient Inter-Frame Attention.
CoRR
Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gérard G. Medioni
2020 A conf
Multi-way Encoding for Robustness.
WACV
Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff
2020 J jnl
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks.
CoRR
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff
2020 J jnl
Real-time Semantic Segmentation with Fast Attention.
CoRR
Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff
2020 A conf
Real-time Visual Object Tracking with Natural Language Description.
WACV
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff
2020 J jnl
Self-supervised Visual Attribute Learning for Fashion Compatibility.
CoRR
Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2020 J jnl
Spatio-Temporal Action Detection with Multi-Object Interaction.
CoRR
Huijuan Xu, Lizhi Yang, Stan Sclaroff, Kate Saenko, Trevor Darrell
2020 A* conf
Temporally Distributed Networks for Fast Video Semantic Segmentation.
CVPR
Ping Hu, Fabian Caba, Oliver Wang, Zhe Lin, Stan Sclaroff, Federico Perazzi
2020 J jnl
Temporally Distributed Networks for Fast Video Semantic Segmentation.
CoRR
Ping Hu, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Stan Sclaroff, Federico Perazzi
2020 A* conf
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation.
NeurIPS
Ping Hu, Stan Sclaroff, Kate Saenko
2020 A* conf
Universal Domain Adaptation through Self Supervision.
NeurIPS
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko
2020 J jnl
Universal Domain Adaptation through Self Supervision.
CoRR
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko
2019 B conf
Affect-driven Learning Outcomes Prediction in Intelligent Tutoring Systems.
FG
Ajjen Joshi, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke
2019 — conf
Are CNN Predictions based on Reasonable Evidence?
CVPR Workshops
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
2019 A* conf
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations.
ICCV
Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky
2019 J jnl
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition.
CoRR
Nuno C. Garcia, Sarah Adel Bargal, Vitaly Ablavsky, Pietro Morerio, Vittorio Murino, Stan Sclaroff
2019 A* conf
Deep Metric Learning to Rank.
CVPR
Fatih Çakir, Kun He, Xide Xia, Brian Kulis, Stan Sclaroff
2019 A* conf
Generalized Majorization-Minimization.
ICML
Sobhan Naderi Parizi, Kun He, Reza Aghajani, Stan Sclaroff, Pedro F. Felzenszwalb
2019 A conf
Guided Zoom: Questioning Network Evidence for Fine-grained Classification.
BMVC
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
2019 J jnl
Hashing with Mutual Information.
IEEE Trans. Pattern Anal. Mach. Intell.
Fatih Çakir, Kun He, Sarah Adel Bargal, Stan Sclaroff
2019 A* conf
Language Features Matter: Effective Language Representations for Vision-Language Tasks.
ICCV
Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2019 J jnl
Language Features Matter: Effective Language Representations for Vision-Language Tasks.
CoRR
Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2019 J jnl
MULE: Multimodal Universal Language Embedding.
CoRR
Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2019 J jnl
Multi-way Encoding for Robustness.
CoRR
Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff
2019 A* conf
Multilevel Language and Vision Integration for Text-to-Clip Retrieval.
AAAI
Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko
2019 J jnl
Robust Visual Object Tracking with Natural Language Region Proposal Network.
CoRR
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff
2019 A* conf
Semi-Supervised Domain Adaptation via Minimax Entropy.
ICCV
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko
2019 J jnl
Semi-supervised Domain Adaptation via Minimax Entropy.
CoRR
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko
2019 J jnl
Tell Me What to Track.
CoRR
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff
2019 — book
Visual Saliency: From Pixel-Level to Object-Level Analysis
Jianming Zhang, Filip Malmberg, Stan Sclaroff
2019 J jnl
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition.
CoRR
Ping Hu, Ximeng Sun, Kate Saenko, Stan Sclaroff
2018 B conf
Context-Sensitive Prediction of Facial Expressivity Using Multimodal Hierarchical Bayesian Neural Networks.
FG
Ajjen Joshi, Soumya Ghosh, Sarah Gunnery, Linda Tickle-Degnen, Stan Sclaroff, Margrit Betke
2018 A* conf
Excitation Backprop for RNNs.
CVPR
Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff
2018 J jnl
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks.
CoRR
Andrea Zunino, Sarah Adel Bargal, Pietro Morerio, Jianming Zhang, Stan Sclaroff, Vittorio Murino
2018 J jnl
Guided Zoom: Questioning Network Evidence for Fine-grained Classification.
CoRR
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
2018 A* conf
Hashing as Tie-Aware Learning to Rank.
CVPR
Kun He, Fatih Çakir, Sarah Adel Bargal, Stan Sclaroff
2018 — conf
Hashing with Binary Matrix Pursuit.
ECCV (5)
Fatih Çakir, Kun He, Stan Sclaroff
2018 J jnl
Hashing with Binary Matrix Pursuit.
CoRR
Fatih Çakir, Kun He, Stan Sclaroff
2018 J jnl
Hashing with Mutual Information.
CoRR
Fatih Çakir, Kun He, Sarah Adel Bargal, Stan Sclaroff
2018 J jnl
Learning Where to Fixate on Foveated Images.
CoRR
Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky
2018 A* conf
Local Descriptors Optimized for Average Precision.
CVPR
Kun He, Yan Lu, Stan Sclaroff
2018 J jnl
Local Descriptors Optimized for Average Precision.
CoRR
Kun He, Yan Lu, Stan Sclaroff
2018 J jnl
Open-vocabulary Phrase Detection.
CoRR
Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
2018 J jnl
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s).
Int. J. Comput. Vis.
Danna Gurari, Kun He, Bo Xiong, Jianming Zhang, Mehrnoosh Sameki, Suyog Dutt Jain, Stan Sclaroff, Margrit Betke, Kristen Grauman
2018 J jnl
Space-Time Tree Ensemble for Action Recognition and Localization.
Int. J. Comput. Vis.
Shugao Ma, Jianming Zhang, Stan Sclaroff, Nazli Ikizler-Cinbis, Leonid Sigal
2018 J jnl
Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning.
CoRR
Huijuan Xu, Kun He, Leonid Sigal, Stan Sclaroff, Kate Saenko
2018 J jnl
Top-Down Neural Attention by Excitation Backprop.
Int. J. Comput. Vis.
Jianming Zhang, Sarah Adel Bargal, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Stan Sclaroff
2017 J jnl
Automating Image Analysis by Annotating Landmarks with Deep Neural Networks.
CoRR
Mikhail Breslav, Tyson L. Hedrick, Stan Sclaroff, Margrit Betke
2017 J jnl
Comparing random forest approaches to segmenting and classifying gestures.
Image Vis. Comput.
Ajjen Joshi, Camille Monnier, Margrit Betke, Stan Sclaroff
2017 J jnl
Do less and achieve more: Training CNNs for action recognition utilizing action images from the Web.
Pattern Recognit.
Shugao Ma, Sarah Adel Bargal, Jianming Zhang, Leonid Sigal, Stan Sclaroff
2017 J jnl
Excitation Backprop for RNNs.
CoRR
Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff
2017 J jnl
Hashing as Tie-Aware Learning to Rank.
CoRR
Kun He, Fatih Çakir, Sarah A. Bargal, Stan Sclaroff
2017 A* conf
MIHash: Online Hashing with Mutual Information.
ICCV
Fatih Çakir, Kun He, Sarah Adel Bargal, Stan Sclaroff
2017 J jnl
MIHash: Online Hashing with Mutual Information.
CoRR
Fatih Çakir, Kun He, Sarah Adel Bargal, Stan Sclaroff
2017 J jnl
Online supervised hashing.
Comput. Vis. Image Underst.
Fatih Çakir, Sarah Adel Bargal, Stan Sclaroff
2017 A* conf
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks.
CVPR
Ajjen Joshi, Soumya Ghosh, Margrit Betke, Stan Sclaroff, Hanspeter Pfister
2017 J jnl
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s).
CoRR
Danna Gurari, Kun He, Bo Xiong, Jianming Zhang, Mehrnoosh Sameki, Suyog Dutt Jain, Stan Sclaroff, Margrit Betke, Kristen Grauman
2017 J jnl
Salient Object Subitizing.
Int. J. Comput. Vis.
Jianming Zhang, Shugao Ma, Mehrnoosh Sameki, Stan Sclaroff, Margrit Betke, Zhe Lin, Xiaohui Shen, Brian L. Price, Radomír Mech
2017 — conf
The Boolean Map Distance: Theory and Efficient Computation.
DGCI
Filip Malmberg, Robin Strand, Jianming Zhang, Stan Sclaroff
2016 A* conf
Differential Geometric Regularization for Supervised Learning of Classifiers.
ICML
Qinxun Bai, Steven Rosenberg, Zheng Wu, Stan Sclaroff
2016 J jnl
Discovering Useful Parts for Pose Estimation in Sparsely Annotated Datasets.
CoRR
Mikhail Breslav, Tyson L. Hedrick, Stan Sclaroff, Margrit Betke
2016 A conf
Discovering useful parts for pose estimation in sparsely annotated datasets.
WACV
Mikhail Breslav, Tyson L. Hedrick, Stan Sclaroff, Margrit Betke
2016 J jnl
Exploiting Surroundedness for Saliency Detection: A Boolean Map Approach.
IEEE Trans. Pattern Anal. Mach. Intell.
Jianming Zhang, Stan Sclaroff
2016 A* conf
Learning Activity Progression in LSTMs for Activity Detection and Early Detection.
CVPR
Shugao Ma, Leonid Sigal, Stan Sclaroff
2016 J jnl
Poselet-Based Contextual Rescoring for Human Pose Estimation via Pictorial Structures.
Int. J. Comput. Vis.
Antonio Hernández-Vela, Stan Sclaroff, Sergio Escalera
2016 J jnl
Salient Object Subitizing.
CoRR
Jianming Zhang, Shugao Ma, Mehrnoosh Sameki, Stan Sclaroff, Margrit Betke, Zhe Lin, Xiaohui Shen, Brian L. Price, Radomír Mech
2016 — conf
Top-Down Neural Attention by Excitation Backprop.
ECCV (4)
Jianming Zhang, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Stan Sclaroff
2016 J jnl
Top-down Neural Attention by Excitation Backprop.
CoRR
Jianming Zhang, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Stan Sclaroff
2016 A* conf
Unconstrained Salient Object Detection via Proposal Subset Optimization.
CVPR
Jianming Zhang, Stan Sclaroff, Zhe Lin, Xiaohui Shen, Brian L. Price, Radomír Mech
2015 J jnl
A Bayesian Approach for Online Classifier Ensemble.
CoRR
Qinxun Bai, Henry Lam, Stan Sclaroff
2015 J jnl
A Differential Geometric Approach to Classification.
CoRR
Qinxun Bai, Steven Rosenberg, Stan Sclaroff
2015 B conf
A random forest approach to segmenting and classifying gestures.
FG
Ajjen Joshi, Camille Monnier, Margrit Betke, Stan Sclaroff
2015 A* conf
Adaptive Hashing for Fast Similarity Search.
ICCV
Fatih Çakir, Stan Sclaroff
2015 J jnl
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web.
CoRR
Shugao Ma, Sarah Adel Bargal, Jianming Zhang, Leonid Sigal, Stan Sclaroff
2015 J jnl
Generalized Majorization-Minimization.
CoRR
Sobhan Naderi Parizi, Kun He, Stan Sclaroff, Pedro F. Felzenszwalb
2015 J jnl
Hankelet-based dynamical systems modeling for 3D action recognition.
Image Vis. Comput.
Liliana Lo Presti, Marco La Cascia, Stan Sclaroff, Octavia I. Camps
2015 — conf
Image-based Ear Biometric Smartphone App for Patient Identification in Field Settings.
VISAPP (3)
Sarah Adel Bargal, Alexander Welles, Cliff R. Chan, Samuel Howes, Stan Sclaroff, Elizabeth Ragan, Courtney Johnson, Christopher J. Gill
2015 A* conf
Minimum Barrier Salient Object Detection at 80 FPS.
ICCV
Jianming Zhang, Stan Sclaroff, Zhe Lin, Xiaohui Shen, Brian L. Price, Radomír Mech
2015 J jnl
Online Supervised Hashing for Ever-Growing Datasets.
CoRR
Fatih Çakir, Sarah Adel Bargal, Stan Sclaroff
2015 B conf
Online supervised hashing.
ICIP
Fatih Çakir, Stan Sclaroff
2015 A* conf
Salient Object Subitizing.
CVPR
Jianming Zhang, Shugao Ma, Mehrnoosh Sameki, Stan Sclaroff, Margrit Betke, Zhe Lin, Xiaohui Shen, Brian L. Price, Radomír Mech
2015 J jnl
Scale and Rotation Invariant Matching Using Linearly Augmented Trees.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Jiang, Tai-Peng Tian, Stan Sclaroff
2015 A* conf
Space-time tree ensemble for action recognition.
CVPR
Shugao Ma, Leonid Sigal, Stan Sclaroff
2014 A conf
3D pose estimation of bats in the wild.
WACV
Mikhail Breslav, Nathan W. Fuller, Stan Sclaroff, Margrit Betke
2014 A* conf
A Bayesian Framework for Online Classifier Ensemble.
ICML
Qinxun Bai, Henry Lam, Stan Sclaroff
2014 A conf
Adaptive Structured Pooling for Action Recognition.
BMVC
Svebor Karaman, Lorenzo Seidenari, Shugao Ma, Alberto Del Bimbo, Stan Sclaroff
2014 J jnl
Best of Automatic Face and Gesture Recognition 2013.
Image Vis. Comput.
Qiang Ji, Stan Sclaroff, Lijun Yin
2014 A conf
Contextual Rescoring for Human Pose Estimation.
BMVC
Antonio Hernández-Vela, Sergio Escalera, Stan Sclaroff
2014 — conf
Gesture Modeling by Hanklet-Based Hidden Markov Model.
ACCV (3)
Liliana Lo Presti, Marco La Cascia, Stan Sclaroff, Octavia I. Camps
2014 — conf
MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization.
ECCV (6)
Jianming Zhang, Shugao Ma, Stan Sclaroff
2014 — conf
Parameterizing Object Detectors in the Continuous Pose Space.
ECCV (4)
Kun He, Leonid Sigal, Stan Sclaroff
2014 A* conf
Supervised hashing with error correcting codes.
ACM Multimedia
Fatih Çakir, Stan Sclaroff
2014 J jnl
Visual Word Selection without Re-Coding and Re-Pooling.
CoRR
Fatih Çakir, Stan Sclaroff
2013 A* conf
Action Recognition and Localization by Hierarchical Space-Time Segments.
ICCV
Shugao Ma, Jianming Zhang, Nazli Ikizler-Cinbis, Stan Sclaroff
2013 B conf
ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary.
ICMI
Sergio Escalera, Jordi Gonzàlez, Xavier Baró, Miguel Reyes, Isabelle Guyon, Vassilis Athitsos, Hugo Jair Escalante, Leonid Sigal, Antonis A. Argyros, Cristian Sminchisescu, Richard Bowden, Stan Sclaroff
2013 A* conf
Decoding Children's Social Behavior.
CVPR
James M. Rehg, Gregory D. Abowd, Agata Rozga, Mario Romero, Mark A. Clements, Stan Sclaroff, Irfan A. Essa, Opal Y. Ousley, Yin Li, Chanho Kim, Hrishikesh Rao, Jonathan C. Kim, Liliana Lo Presti, Jianming Zhang, Denis Lantsman, Jonathan Bidwell, Zhefan Ye
2013 J jnl
Fast vision-based scene modeling for augmented reality in unprepared man-made environments.
J. Ambient Intell. Smart Environ.
Javier-Flavio Vigueras Gomez, Stan Sclaroff
2013 — conf
Joint Alignment and Modeling of Correlated Behavior Streams.
ICCV Workshops
Liliana Lo Presti, Stan Sclaroff, Agata Rozga
2013 A* conf
Randomized Ensemble Tracking.
ICCV
Qinxun Bai, Zheng Wu, Stan Sclaroff, Margrit Betke, Camille Monnier
2013 A* conf
Saliency Detection: A Boolean Map Approach.
ICCV
Jianming Zhang, Stan Sclaroff
2012 — conf
Contextual Object Detection Using Set-Based Classification.
ECCV (6)
Ramazan Gokberk Cinbis, Stan Sclaroff
2012 A* conf
Coupling detection and data association for multiple object tracking.
CVPR
Zheng Wu, Ashwin Thangali, Stan Sclaroff, Margrit Betke
2012 B conf
Detecting Reduplication in Videos of American Sign Language.
LREC
Zoya Gavrilov, Stan Sclaroff, Carol Neidle, Sven J. Dickinson
2012 J jnl
Divide, Conquer and Coordinate: Globally Coordinated Switching Linear Dynamical System.
IEEE Trans. Pattern Anal. Mach. Intell.
Rui Li, Tai-Peng Tian, Stan Sclaroff
2012 J jnl
Event prediction in a hybrid camera network.
ACM Trans. Sens. Networks
Ugur Murat Erdem, Stan Sclaroff
2012 B conf
Online Multi-person Tracking by Tracker Hierarchy.
AVSS
Jianming Zhang, Liliana Lo Presti, Stan Sclaroff
2012 J jnl
Path Modeling and Retrieval in Distributed Video Surveillance Databases.
IEEE Trans. Multim.
Liliana Lo Presti, Stan Sclaroff, Marco La Cascia
2012 A conf
People in Motion: Pose, Action and Communication.
BMVC
Stan Sclaroff
2012 A* conf
Scale resilient, rotation invariant articulated object matching.
CVPR
Hao Jiang, Tai-Peng Tian, Kun He, Stan Sclaroff
2012 — conf
Unsupervised Learning of Discriminative Relative Visual Attributes.
ECCV Workshops (3)
Shugao Ma, Stan Sclaroff, Nazli Ikizler-Cinbis
2012 J jnl
Web-Based Classifiers for Human Action Recognition.
IEEE Trans. Multim.
Nazli Ikizler-Cinbis, Stan Sclaroff
2011 A* conf
Exploiting phonological constraints for handshape inference in ASL video.
CVPR
Ashwin Thangali, Joan P. Nash, Stan Sclaroff, Carol Neidle
2011 J jnl
Layered Graphical Models for Tracking Partially Occluded Objects.
IEEE Trans. Pattern Anal. Mach. Intell.
Vitaly Ablavsky, Stan Sclaroff
2011 J jnl
Learning a Family of Detectors via Multiplicative Kernels.
IEEE Trans. Pattern Anal. Mach. Intell.
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan Sclaroff
2011 A* conf
Learning parameterized histogram kernels on the simplex manifold for image and action classification.
ICCV
Vitaly Ablavsky, Stan Sclaroff
2011 — conf
Real-time structure and motion recovery from two views of a multiplanar scene.
ICCV Workshops
Javier-Flavio Vigueras Gomez, Stan Sclaroff
2011 A* conf
Scale and rotation invariant matching using linearly augmented trees.
CVPR
Hao Jiang, Tai-Peng Tian, Stan Sclaroff
2010 J jnl
3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers.
Int. J. Comput. Vis.
Rui Li, Tai-Peng Tian, Stan Sclaroff, Ming-Hsuan Yang
2010 — conf
Fast Multi-aspect 2D Human Detection.
ECCV (3)
Tai-Peng Tian, Stan Sclaroff
2010 A* conf
Fast globally optimal 2D human detection with loopy graph models.
CVPR
Tai-Peng Tian, Stan Sclaroff
2010 J jnl
Matching Trajectories between Video Sequences by Exploiting a Sparse Projective Invariant Representation.
IEEE Trans. Pattern Anal. Mach. Intell.
Walter Nunziati, Stan Sclaroff, Alberto Del Bimbo
2010 B conf
Object Recognition and Localization Via Spatial Instance Embedding.
ICPR
Nazli Ikizler-Cinbis, Stan Sclaroff
2010 — conf
Object, Scene and Actions: Combining Multiple Features for Human Action Recognition.
ECCV (1)
Nazli Ikizler-Cinbis, Stan Sclaroff
2009 J jnl
A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Jonathan Alon, Vassilis Athitsos, Quan Yuan, Stan Sclaroff
2009 — conf
An alignment based similarity measure for hand detection in cluttered sign language video.
CVPR Workshops
Ashwin Thangali, Stan Sclaroff
2009 A* conf
Is a detector only good for detection?
ICCV
Quan Yuan, Stan Sclaroff
2009 A* conf
Learning actions from the Web.
ICCV
Nazli Ikizler-Cinbis, Ramazan Gokberk Cinbis, Stan Sclaroff
2009 J jnl
Mining frequent arrangements of temporal intervals.
Knowl. Inf. Syst.
Panagiotis Papapetrou, George Kollios, Stan Sclaroff, Dimitrios Gunopulos
2009 Misc conf
Object Matching in Distributed Video Surveillance Systems by LDA-Based Appearance Descriptors.
ICIAP
Liliana Lo Presti, Stan Sclaroff, Marco La Cascia
2009 A* conf
Reducing JointBoost-based multiclass classification to proximity search.
CVPR
Alexandra Stefan, Vassilis Athitsos, Quan Yuan, Stan Sclaroff
2009 J jnl
Sign Language Spotting with a Threshold Model Based on Conditional Random Fields.
IEEE Trans. Pattern Anal. Mach. Intell.
Hee-Deok Yang, Stan Sclaroff, Seong-Whan Lee
2008 B conf
Benchmark Databases for Video-Based Automatic Sign Language Recognition.
LREC
Philippe Dreuw, Carol Neidle, Vassilis Athitsos, Stan Sclaroff, Hermann Ney
2008 J jnl
BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell.
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, George Kollios
2008 J jnl
Detecting Objects of Variable Shape Structure With Hidden State Shape Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingbin Wang, Vassilis Athitsos, Stan Sclaroff, Margrit Betke
2008 A* conf
Layered graphical models for tracking partially-occluded objects.
CVPR
Vitaly Ablavsky, Ashwin Thangali, Stan Sclaroff
2008 J jnl
Multi-scale 3D scene flow from binocular stereo sequences.
Comput. Vis. Image Underst.
Rui Li, Stan Sclaroff
2008 A* conf
Multiplicative kernels: Object detection, segmentation and pose estimation.
CVPR
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan Sclaroff
2008 — conf
The American Sign Language Lexicon Video Dataset.
CVPR Workshops
Vassilis Athitsos, Carol Neidle, Stan Sclaroff, Joan P. Nash, Alexandra Stefan, Quan Yuan, Ashwin Thangali
2008 — conf
Tracking with Dynamic Hidden-State Shape Models.
ECCV (1)
Zheng Wu, Margrit Betke, Jingbin Wang, Vassilis Athitsos, Stan Sclaroff
2008 — conf
Translation and scale-invariant gesture recognition in complex scenes.
PETRA
Alexandra Stefan, Vassilis Athitsos, Jonathan Alon, Stan Sclaroff
2007 A* conf
ClassMap: Efficient Multiclass Recognition via Embeddings.
ICCV
Vassilis Athitsos, Alexandra Stefan, Quan Yuan, Stan Sclaroff
2007 A* conf
Parameter Sensitive Detectors.
CVPR
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan Sclaroff
2007 J jnl
Query-sensitive embeddings.
ACM Trans. Database Syst.
Vassilis Athitsos, Marios Hadjieleftheriou, George Kollios, Stan Sclaroff
2007 A* conf
Simultaneous Learning of Nonlinear Manifold and Dynamical Models for High-dimensional Time Series.
ICCV
Rui Li, Tai-Peng Tian, Stan Sclaroff
2006 J jnl
Automated camera layout to satisfy task-specific and floor plan-specific coverage requirements.
Comput. Vis. Image Underst.
Ugur Murat Erdem, Stan Sclaroff
2006 J jnl
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation.
Int. J. Comput. Vis.
Rómer Rosales, Stan Sclaroff
2006 — conf
Detecting Instances of Shape Classes That Exhibit Variable Structure.
ECCV (1)
Vassilis Athitsos, Jingbin Wang, Stan Sclaroff, Margrit Betke
2006 — conf
Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers.
ECCV (2)
Rui Li, Ming-Hsuan Yang, Stan Sclaroff, Tai-Peng Tian
2005 — conf
Accurate and Efficient Gesture Spotting via Pruning and Subgesture Reasoning.
ICCV-HCI
Jonathan Alon, Vassilis Athitsos, Stan Sclaroff
2005 — conf
An Invariant Representation for Matching Trajectories Across Uncalibrated Video Streams.
CIVR
Walter Nunziati, Stan Sclaroff, Alberto Del Bimbo
2005 — conf
Articulated Pose Estimation in a Learned Smooth Space of Feasible Solutions.
CVPR Workshops
Tai-Peng Tian, Rui Li, Stan Sclaroff
2005 — conf
Automatic 2D Hand Tracking in Video Sequences.
WACV/MOTION
Quan Yuan, Stan Sclaroff, Vassilis Athitsos
2005 — conf
Boosting nearest neighbor classifiers for multiclass recognition.
CVPR Workshops
Vassilis Athitsos, Stan Sclaroff
2005 A* conf
Discovering Frequent Arrangements of Temporal Intervals.
ICDM
Panagiotis Papapetrou, George Kollios, Stan Sclaroff, Dimitrios Gunopulos
2005 — conf
Efficient Nearest Neighbor Classification Using a Cascade of Approximate Similarity Measures.
CVPR (1)
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff
2005 — conf
Face Identification by a Cascade of Rejection Classifiers.
CVPR Workshops
Quan Yuan, Ashwin Thangali, Stan Sclaroff
2005 — conf
Handsignals Recognition From Video Using 3D Motion Capture Data.
WACV/MOTION
Tai-Peng Tian, Stan Sclaroff
2005 B conf
Look there! Predicting where to look for motion in an active camera network.
AVSS
Ugur Murat Erdem, Stan Sclaroff
2005 — conf
Multi-Scale 3D Scene Flow from Binocular Stereo Sequences.
WACV/MOTION
Rui Li, Stan Sclaroff
2005 A conf
Online and Offline Character Recognition Using Alignment to Prototypes.
ICDAR
Jonathan Alon, Vassilis Athitsos, Stan Sclaroff
2005 — conf
Periodic Motion Detection and Estimation via Space-Time Sampling.
WACV/MOTION
Ashwin Thangali, Stan Sclaroff
2005 — conf
Query-Sensitive Embeddings.
SIGMOD Conference
Vassilis Athitsos, Marios Hadjieleftheriou, George Kollios, Stan Sclaroff
2005 — conf
Simultaneous Localization and Recognition of Dynamic Hand Gestures.
WACV/MOTION
Jonathan Alon, Vassilis Athitsos, Quan Yuan, Stan Sclaroff
2005 A conf
Tracking, Analysis, and Recognition of Human Gestures in Video.
ICDAR
Stan Sclaroff, Margrit Betke, George Kollios, Jonathan Alon, Vassilis Athitsos, Rui Li, John J. Magee, Tai-Peng Tian
2005 B conf
View registration using interesting segments of planar trajectories.
AVSS
Walter Nunziati, Jonathan Alon, Stan Sclaroff, Alberto Del Bimbo
2004 — conf
BoostMap: A Method for Efficient Approximate Similarity Rankings.
CVPR (2)
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, George Kollios
2004 J jnl
Deformable model-guided region split and merge of image regions.
Image Vis. Comput.
Lifeng Liu, Stan Sclaroff
2004 — conf
Extraction and Clustering of Motion Trajectories in Video.
ICPR (2)
Dan Buzan, Stan Sclaroff, George Kollios
2004 C conf
Fully automatic, real-time detection of facial gestures from generic video.
MMSP
Marco La Cascia, Lorenzo Valenti, Stan Sclaroff
2004 J jnl
Skin Color-Based Video Segmentation under Time-Varying Illumination.
IEEE Trans. Pattern Anal. Mach. Intell.
Leonid Sigal, Stan Sclaroff, Vassilis Athitsos
2003 J jnl
A framework for heading-guided recognition of human activity.
Comput. Vis. Image Underst.
Rómer Rosales, Stan Sclaroff
2003 J jnl
Active blobs: region-based, deformable appearance models.
Comput. Vis. Image Underst.
Stan Sclaroff, John Isidoro
2003 — conf
Database Indexing Methods for 3D Hand Pose Estimation.
Gesture Workshop
Vassilis Athitsos, Stan Sclaroff
2003 — conf
Discovering Clusters in Motion Time-Series Data.
CVPR (1)
Jonathan Alon, Stan Sclaroff, George Kollios, Vladimir Pavlovic
2003 — conf
Estimating 3D Hand Pose from a Cluttered Image.
CVPR (2)
Vassilis Athitsos, Stan Sclaroff
2003 A* conf
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter.
ICCV
Jing Zhong, Stan Sclaroff
2003 A* conf
Stochastic Refinement of the Visual Hull to Satisfy Photometric and Silhouette Consistency Constraints.
ICCV
John Isidoro, Stan Sclaroff
2002 — conf
Algorithms for Inference in Specialized Maps for Recovering 3D Hand Pose.
FGR
Rómer Rosales, Stan Sclaroff
2002 — conf
An Appearance-Based Framework for 3D Hand Shape Classification and Camera Viewpoint Estimation.
FGR
Vassilis Athitsos, Stan Sclaroff
2002 — conf
Automatic Detection of Relevant Head Gestures in American Sign Language Communication.
ICPR (1)
Ugur Murat Erdem, Stan Sclaroff
2002 J jnl
Index trees for accelerating deformable template matching.
Pattern Recognit. Lett.
Lifeng Liu, Stan Sclaroff
2002 — conf
Stochastic Mesh-Based Multiview Reconstruction.
3DPVT
John Isidoro, Stan Sclaroff
2002 — conf
Surface Reconstruction from Multiple Views using Rational B-Splines and Knot Insertion.
3DPVT
Matheen Siddiqui, Stan Sclaroff
2001 A* conf
3D Hand Pose Reconstruction Using Specialized Mappings.
ICCV
Rómer Rosales, Vassilis Athitsos, Leonid Sigal, Stan Sclaroff
2001 J jnl
Corrections to 'Deformable Shape Detection and Description via Model-Based Region Grouping'.
IEEE Trans. Pattern Anal. Mach. Intell.
Stan Sclaroff, Lifeng Liu
2001 J jnl
Deformable Shape Detection and Description via Model-Based Region Grouping.
IEEE Trans. Pattern Anal. Mach. Intell.
Stan Sclaroff, Lifeng Liu
2001 — conf
Estimating 3D Body Pose using Uncalibrated Cameras.
CVPR (1)
Rómer Rosales, Matheen Siddiqui, Jonathan Alon, Stan Sclaroff
2001 — conf
Learning Body Pose via Specialized Maps.
NIPS
Rómer Rosales, Stan Sclaroff
2001 — conf
Medical image segmentation and retrieval via deformable models.
ICIP (3)
Lifeng Liu, Stan Sclaroff
2001 — ch.
Mix and Match Features in the ImageRover Search Engine.
Principles of Visual Information Retrieval
Stan Sclaroff, Marco La Cascia, Saratendu Sethi, Leonid Taycher
2001 — conf
Motion Mining.
MDIC
Stan Sclaroff, George Kollios, Margrit Betke, Rómer Rosales
2001 — conf
Motion Mining: Discovering Spatio-Temporal Patterns in Databases of Human Motion.
DMKD
George Kollios, Stan Sclaroff, Margrit Betke
2001 A* conf
Region Segmentation via Deformable Model-Guided Split and Merge.
ICCV
Lifeng Liu, Stan Sclaroff
2001 — conf
Shape-Guided Split and Merge of Image Regions.
IWVF
Lifeng Liu, Stan Sclaroff
2000 A* conf
Estimation and Prediction of Evolving Color Distributions for Skin Segmentation under Varying Illumination.
CVPR
Leonid Sigal, Stan Sclaroff, Vassilis Athitsos
2000 J jnl
Fast, Reliable Head Tracking under Varying Illumination: An Approach Based on Registration of Texture-Mapped 3D Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Marco La Cascia, Stan Sclaroff, Vassilis Athitsos
2000 A* conf
Inferring Body Pose without Tracking Body Parts.
CVPR
Rómer Rosales, Stan Sclaroff
2000 B conf
Learning and Synthesizing Human Body Motion and Posture.
FG
Rómer Rosales, Stan Sclaroff
2000 A* conf
Recursive Estimation of Motion and Planar Structure.
CVPR
Jonathan Alon, Stan Sclaroff
2000 — conf
Specialized Mappings and the Estimation of Human Body Pose from a Single Image.
Workshop on Human Motion
Rómer Rosales, Stan Sclaroff
1999 A* conf
3D Trajectory Recovery for Tracking Multiple Objects and Trajectory Guided Recognition of Actions.
CVPR
Rómer Rosales, Stan Sclaroff
1999 — conf
Automatic Deformable Shape Segmentation for Image Database Search Applications.
VISUAL
Lifeng Liu, Stan Sclaroff
1999 A* conf
Deformable Shape Detection and Description via Model-Based Region.
CVPR
Lifeng Liu, Stan Sclaroff
1999 A* conf
Fast, Reliable Head Tracking under Varying Illumination.
CVPR
Marco La Cascia, Stan Sclaroff
1999 J jnl
Unifying Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web.
Comput. Vis. Image Underst.
Stan Sclaroff, Marco La Cascia, Saratendu Sethi, Leonid Taycher
1998 A* conf
Active Blobs.
ICCV
Stan Sclaroff, John Isidoro
1998 — conf
Active Voodoo Dolls: A Vision Based Input Device for Nonrigid Control.
CA
John Isidoro, Stan Sclaroff
1998 J jnl
Characterization of Neuropathological Shape Deformations.
IEEE Trans. Pattern Anal. Mach. Intell.
John Martin, Alex Pentland, Stan Sclaroff, Ron Kikinis
1998 — ch.
Distance to Deformable Prototypes: Encoding Shape Categories for Efficient Search.
Image Databases and Multi-Media Search
Stan Sclaroff
1998 A* conf
Head Tracking via Robust Registration in Texture Map Images.
CVPR
Marco La Cascia, John Isidoro, Stan Sclaroff
1997 J jnl
Deformable prototypes for encoding shape categories in image databases.
Pattern Recognit.
Stan Sclaroff
1996 J jnl
Photobook: Content-based manipulation of image databases.
Int. J. Comput. Vis.
Alex Pentland, Rosalind W. Picard, Stan Sclaroff
1995 J jnl
Modal Matching for Correspondence and Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Stan Sclaroff, Alex Pentland
1994 — conf
Modal Representations.
Object Representation in Computer Vision
Alex Pentland, Stan Sclaroff
1994 A* conf
Object representation for object recognition.
CVPR
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
1994 — conf
Photobook: Tools for Content-Based Manipulation of Image Databases.
Storage and Retrieval for Image and Video Databases (SPIE)
Alex Pentland, Rosalind W. Picard, Stan Sclaroff
1994 — conf
Visually guided animation.
CA
Alex Pentland, Trevor Darrell, Irfan A. Essa, Ali Azarbayejani, Stan Sclaroff
1993 A* conf
A modal framework for correspondence and description.
ICCV
Stan Sclaroff, Alex Pentland
1992 J jnl
A Unified Approach for Physical and Geometric Modeling for Graphics and Animation.
Comput. Graph. Forum
Irfan A. Essa, Stan Sclaroff, Alex Pentland
1991 J jnl
Closed-Form Solutions for Physically Based Shape Modeling and Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Alex Pentland, Stan Sclaroff
1991 A* conf
Closed-form solutions for physically-based shape modeling and recognition.
CVPR
Stan Sclaroff, Alex Pentland
1991 A* conf
Generalized implicit functions for computer graphics.
SIGGRAPH
Stan Sclaroff, Alex Pentland
1990 A* conf
Segmentation by minimal description.
ICCV
Trevor Darrell, Stan Sclaroff, Alex Pentland