Stan Sclaroff

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 119

Top Venues

CoRR

CVPR

ICCV

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Ping Hu, Ximeng Sun, Stan Sclaroff, Kate Saenko
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Ping Hu, Simon Niklaus, Lu Zhang, Stan Sclaroff, Kate Saenko
Video Frame Interpolation With Many-to-Many Splatting and Spatial Selective Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
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
The 7th AI City Challenge. CVPR Workshops (2023)
Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Stan Sclaroff
Practical Disruption of Image Translation Deepfake Networks. AAAI (2023)
Ariel N. Lee, Sarah Adel Bargal, Janavi Kasera, Stan Sclaroff, Kate Saenko, Nataniel Ruiz
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing. CoRR (2023)
Ping Hu, Ximeng Sun, Stan Sclaroff, Kate Saenko
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations. CoRR (2023)
Ping Hu, Simon Niklaus, Lu Zhang, Stan Sclaroff, Kate Saenko
Video Frame Interpolation with Many-to-many Splatting and Spatial Selective Refinement. CoRR (2023)
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
The 7th AI City Challenge. CoRR (2023)
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
ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction. IEEE Trans. Biom. Behav. Identity Sci. 5 (3) (2023)
Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff
A Unified Framework for Domain Adaptive Pose Estimation. ECCV (33) (2022)
Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. CoRR (2022)
Nataniel Ruiz, Sarah A. Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. NeurIPS (2022)
Ping Hu, Stan Sclaroff, Kate Saenko
Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation. IEEE Trans. Image Process. 31 (2022)
Marc Oliu, Sarah Adel Bargal, Stan Sclaroff, Xavier Baró, Sergio Escalera
Multi-varied Cumulative Alignment for Domain Adaptation. ICIAP (2) (2022)
Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff
A Unified Framework for Domain Adaptive Pose Estimation. CoRR (2022)
Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko
A Broad Study of Pre-training for Domain Generalization and Adaptation. ECCV (33) (2022)
Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
Revisiting Image-Language Networks for Open-Ended Phrase Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (4) (2022)
Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko
Many-to-many Splatting for Efficient Video Frame Interpolation. CVPR (2022)
Shoumik Sovan Majumdar, Shubhangi Jain, Isidora Chara Tourni, Arsenii Mustafin, Diala Lteif, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal
Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs. Frontiers Comput. Sci. 4 (2022)
Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko
A Broad Study of Pre-training for Domain Generalization and Adaptation. CoRR (2022)
Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko
Many-to-many Splatting for Efficient Video Frame Interpolation. CoRR (2022)
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
The 6th AI City Challenge. CVPR Workshops (2022)
Quanfu Fan, Donghyun Kim, Chun-Fu Chen, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal
Temporal Relevance Analysis for Video Action Models. CoRR (2022)
Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff
Simulated Adversarial Testing of Face Recognition Models. CVPR (2022)
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
The 6th AI City Challenge. CoRR (2022)
Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff
Real-Time Semantic Segmentation With Fast Attention. IEEE Robotics Autom. Lett. 6 (1) (2021)
Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko
Explainable Deep Classification Models for Domain Generalization. CVPR Workshops (2021)
Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker
Learning Cross-modal Contrastive Features for Video Domain Adaptation. CoRR (2021)
Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gérard G. Medioni
MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention. ICCVW (2021)
Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff
Simulated Adversarial Testing of Face Recognition Models. CoRR (2021)
Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker
Learning Cross-Modal Contrastive Features for Video Domain Adaptation. ICCV (2021)
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
The 5th AI City Challenge. CVPR Workshops (2021)
Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. CoRR (2021)
Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
CDS: Cross-Domain Self-supervised Pre-training. ICCV (2021)
Andrea Zunino, Sarah Adel Bargal, Pietro Morerio, Jianming Zhang, Stan Sclaroff, Vittorio Murino
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks. Int. J. Comput. Vis. 129 (4) (2021)
Nuno Cruz Garcia, Sarah Adel Bargal, Vitaly Ablavsky, Pietro Morerio, Vittorio Murino, Stan Sclaroff
Distillation Multiple Choice Learning for Multimodal Action Recognition. WACV (2021)
Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Thomas J. Murray, John J. Magee, Jacob Whitehill, Vitaly Ablavsky, Ivon Arroyo, Beverly Park Woolf, Stan Sclaroff, Margrit Betke
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. FG (2021)
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
The 5th AI City Challenge. CoRR (2021)
Qi Feng, Vitaly Ablavsky, Stan Sclaroff
CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions. CoRR (2021)
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. ICCV (2021)
Donghyun Kim, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer
Self-supervised Visual Attribute Learning for Fashion Compatibility. ICCVW (2021)
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers. CVPR (2021)
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks. CoRR (2020)
Ping Hu, Fabian Caba Heilbron, Oliver Wang, Zhe L. Lin, Stan Sclaroff, Federico Perazzi
Temporally Distributed Networks for Fast Video Semantic Segmentation. CoRR (2020)
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems. CoRR (2020)
Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff
DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation. WACV (2020)
Ping Hu, Stan Sclaroff, Kate Saenko
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation. NeurIPS (2020)
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko
Universal Domain Adaptation through Self Supervision. CoRR (2020)
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff
Real-time Visual Object Tracking with Natural Language Description. WACV (2020)
Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gérard G. Medioni
Multi-Task Learning from Videos via Efficient Inter-Frame Attention. CoRR (2020)
Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
MULE: Multimodal Universal Language Embedding. AAAI (2020)
Huijuan Xu, Lizhi Yang, Stan Sclaroff, Kate Saenko, Trevor Darrell
Spatio-Temporal Action Detection with Multi-Object Interaction. CoRR (2020)
Ping Hu, Fabian Caba, Oliver Wang, Zhe Lin, Stan Sclaroff, Federico Perazzi
Temporally Distributed Networks for Fast Video Semantic Segmentation. CVPR (2020)
Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff
Multi-way Encoding for Robustness. WACV (2020)
Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff
Real-time Semantic Segmentation with Fast Attention. CoRR (2020)
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Vittorio Murino, Stan Sclaroff, Kate Saenko
Beyond the Visual Analysis of Deep Model Saliency. xxAI@ICML (2020)
Nataniel Ruiz, Mona Jalal, Vitaly Ablavsky, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly Park Woolf, Stan Sclaroff, Margrit Betke
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. CoRR (2020)
Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
Self-supervised Visual Attribute Learning for Fashion Compatibility. CoRR (2020)
Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko
Explainable Deep Classification Models for Domain Generalization. CoRR (2020)
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko
Universal Domain Adaptation through Self Supervision. NeurIPS (2020)
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems. ECCV Workshops (4) (2020)
Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels. CoRR (2020)
Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff
Multi-way Encoding for Robustness. CoRR (2019)
Fatih Çakir, Kun He, Sarah Adel Bargal, Stan Sclaroff
Hashing with Mutual Information. IEEE Trans. Pattern Anal. Mach. Intell. 41 (10) (2019)
Fatih Çakir, Kun He, Xide Xia, Brian Kulis, Stan Sclaroff
Deep Metric Learning to Rank. CVPR (2019)
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff
Tell Me What to Track. CoRR (2019)
Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations. ICCV (2019)
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
Are CNN Predictions based on Reasonable Evidence? CVPR Workshops (2019)
Ajjen Joshi, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly Park Woolf, Stan Sclaroff, Margrit Betke
Affect-driven Learning Outcomes Prediction in Intelligent Tutoring Systems. FG (2019)
Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko
Multilevel Language and Vision Integration for Text-to-Clip Retrieval. AAAI (2019)
Nuno C. Garcia, Sarah Adel Bargal, Vitaly Ablavsky, Pietro Morerio, Vittorio Murino, Stan Sclaroff
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition. CoRR (2019)
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
Guided Zoom: Questioning Network Evidence for Fine-grained Classification. BMVC (2019)
Sobhan Naderi Parizi, Kun He, Reza Aghajani, Stan Sclaroff, Pedro F. Felzenszwalb
Generalized Majorization-Minimization. ICML (2019)
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko
Semi-supervised Domain Adaptation via Minimax Entropy. CoRR (2019)
Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
Language Features Matter: Effective Language Representations for Vision-Language Tasks. CoRR (2019)
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff
Robust Visual Object Tracking with Natural Language Region Proposal Network. CoRR (2019)
Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
Language Features Matter: Effective Language Representations for Vision-Language Tasks. ICCV (2019)
Ping Hu, Ximeng Sun, Kate Saenko, Stan Sclaroff
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition. CoRR (2019)
Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
MULE: Multimodal Universal Language Embedding. CoRR (2019)
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko
Semi-Supervised Domain Adaptation via Minimax Entropy. ICCV (2019)
Fatih Çakir, Kun He, Sarah Adel Bargal, Stan Sclaroff
Hashing with Mutual Information. CoRR (2018)
Huijuan Xu, Kun He, Leonid Sigal, Stan Sclaroff, Kate Saenko
Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning. CoRR (2018)
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
Guided Zoom: Questioning Network Evidence for Fine-grained Classification. CoRR (2018)
Danna Gurari, Kun He, Bo Xiong, Jianming Zhang, Mehrnoosh Sameki, Suyog Dutt Jain, Stan Sclaroff, Margrit Betke, Kristen Grauman
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s). Int. J. Comput. Vis. 126 (7) (2018)
Kun He, Yan Lu, Stan Sclaroff
Local Descriptors Optimized for Average Precision. CoRR (2018)
Fatih Çakir, Kun He, Stan Sclaroff
Hashing with Binary Matrix Pursuit. CoRR (2018)
Andrea Zunino, Sarah Adel Bargal, Pietro Morerio, Jianming Zhang, Stan Sclaroff, Vittorio Murino
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks. CoRR (2018)
Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff
Excitation Backprop for RNNs. CVPR (2018)
Kun He, Fatih Çakir, Sarah Adel Bargal, Stan Sclaroff
Hashing as Tie-Aware Learning to Rank. CVPR (2018)
Kun He, Yan Lu, Stan Sclaroff
Local Descriptors Optimized for Average Precision. CVPR (2018)
Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
Open-vocabulary Phrase Detection. CoRR (2018)
Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky
Learning Where to Fixate on Foveated Images. CoRR (2018)
Shugao Ma, Jianming Zhang, Stan Sclaroff, Nazli Ikizler-Cinbis, Leonid Sigal
Space-Time Tree Ensemble for Action Recognition and Localization. Int. J. Comput. Vis. 126 (2-4) (2018)
Fatih Çakir, Kun He, Stan Sclaroff
Hashing with Binary Matrix Pursuit. ECCV (5) (2018)
Jianming Zhang, Sarah Adel Bargal, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Stan Sclaroff
Top-Down Neural Attention by Excitation Backprop. Int. J. Comput. Vis. 126 (10) (2018)
Ajjen Joshi, Soumya Ghosh, Sarah Gunnery, Linda Tickle-Degnen, Stan Sclaroff, Margrit Betke
Context-Sensitive Prediction of Facial Expressivity Using Multimodal Hierarchical Bayesian Neural Networks. FG (2018)
Filip Malmberg, Robin Strand, Jianming Zhang, Stan Sclaroff
The Boolean Map Distance: Theory and Efficient Computation. DGCI (2017)
Fatih Çakir, Kun He, Sarah Adel Bargal, Stan Sclaroff
MIHash: Online Hashing with Mutual Information. CoRR (2017)
Ajjen Joshi, Soumya Ghosh, Margrit Betke, Stan Sclaroff, Hanspeter Pfister
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks. CVPR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stan Sclaroff