Michael J. Jones

58 papers A* 17A 5B 3Journal 25Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic AI-Empowered Dynamic Survey Framework. CoRR Furkan Mumcu, Lokman Bekit, Michael J. Jones, Anoop Cherian, Yasin Yilmaz
2026	J	`jnl`	Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection. Trans. Mach. Learn. Res. Furkan Mumcu, Michael J. Jones, Anoop Cherian, Yasin Yilmaz
2025	—	`conf`	ComplexVAD: Detecting Interaction Anomalies in Video. WACV (Workshops) Furkan Mumcu, Michael J. Jones, Yasin Yilmaz, Anoop Cherian
2025	J	`jnl`	ComplexVAD: Detecting Interaction Anomalies in Video. CoRR Furkan Mumcu, Michael J. Jones, Yasin Yilmaz, Anoop Cherian
2025	J	`jnl`	Improving Open-World Object Localization by Discovering Background. CoRR Ashish Singh, Michael J. Jones, Kuan-Chuan Peng, Anoop Cherian, Moitreya Chatterjee, Erik G. Learned-Miller
2025	J	`jnl`	LLM-Guided Agentic Object Detection for Open-World Understanding. CoRR Furkan Mumcu, Michael J. Jones, Anoop Cherian, Yasin Yilmaz
2025	J	`jnl`	Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection. CoRR Furkan Mumcu, Michael J. Jones, Anoop Cherian, Yasin Yilmaz
2025	J	`jnl`	Programmatic Video Prediction Using Large Language Models. CoRR Hao Tang, Kevin Ellis, Suhas Lohit, Michael J. Jones, Moitreya Chatterjee
2025	J	`jnl`	Towards Open-Vocabulary Multimodal 3D Object Detection with Attributes. CoRR Xinhao Xiang, Kuan-Chuan Peng, Suhas Lohit, Michael J. Jones, Jiawei Zhang
2025	A*	`conf`	UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing. CVPR Yung-Hsuan Lai, Janek Ebbers, Yu-Chiang Frank Wang, François G. Germain, Michael J. Jones, Moitreya Chatterjee
2025	J	`jnl`	UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing. CoRR Yung-Hsuan Lai, Janek Ebbers, Yu-Chiang Frank Wang, François G. Germain, Michael J. Jones, Moitreya Chatterjee
2024	J	`jnl`	Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection. CoRR Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel
2024	—	`conf`	Equivariant Spatio-temporal Self-supervision for LiDAR Object Detection. ECCV (26) Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel
2024	J	`jnl`	Multimodal 3D Object Detection on Unseen Domains. CoRR Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel
2024	A	`conf`	Pixel-Grounded Prototypical Part Networks. WACV Zachariah Carmichael, Suhas Lohit, Anoop Cherian, Michael J. Jones, Walter J. Scheirer
2024	—	`conf`	Tracklet-based Explainable Video Anomaly Localization. CVPR Workshops Ashish Singh, Michael J. Jones, Erik G. Learned-Miller
2023	A*	`conf`	EVAL: Explainable Video Anomaly Localization. CVPR Ashish Singh, Michael J. Jones, Erik G. Learned-Miller
2023	J	`jnl`	Pixel-Grounded Prototypical Part Networks. CoRR Zachariah Carmichael, Suhas Lohit, Anoop Cherian, Michael J. Jones, Walter J. Scheirer
2023	A*	`conf`	Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes. ICCV Fabien Delattre, David Dirnfeld, Phat Nguyen, Stephen Scarano, Michael J. Jones, Pedro Miraldo, Erik G. Learned-Miller
2023	J	`jnl`	Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes. CoRR Fabien Delattre, David Dirnfeld, Phat Nguyen, Stephen Scarano, Michael J. Jones, Pedro Miraldo, Erik G. Learned-Miller
2023	—	`conf`	Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection. ICCV (Workshops) Manish Sharma, Moitreya Chatterjee, Kuan-Chuan Peng, Suhas Lohit, Michael J. Jones
2022	J	`jnl`	A Survey of Single-Scene Video Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
2022	B	`conf`	An Empirical Analysis of Boosting Deep Networks. IJCNN Sai Saketh Rambhatla, Michael J. Jones, Rama Chellappa
2022	J	`jnl`	Cross-Modal Knowledge Transfer Without Task-Relevant Source Data. CoRR Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Amit K. Roy-Chowdhury
2022	J	`jnl`	EVAL: Explainable Video Anomaly Localization. CoRR Ashish Singh, Michael J. Jones, Erik G. Learned-Miller
2022	A*	`conf`	What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective. NeurIPS Huan Wang, Suhas Lohit, Michael J. Jones, Yun Fu
2020	J	`jnl`	A Survey of Single-Scene Video Anomaly Detection. CoRR Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
2020	J	`jnl`	LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood. CoRR Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael J. Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng
2020	A	`conf`	Learning a distance function with a Siamese network to localize anomalies in videos. WACV Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
2020	J	`jnl`	Learning a distance function with a Siamese network to localize anomalies in videos. CoRR Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
2020	A	`conf`	Street Scene: A new dataset and evaluation protocol for video anomaly detection. WACV Bharathkumar Ramachandra, Michael J. Jones
2019	J	`jnl`	Street Scene: A new dataset and evaluation protocol for video anomaly detection. CoRR Bharathkumar Ramachandra, Michael J. Jones
2016	A*	`conf`	A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection. CVPR Bharat Singh, Tim K. Marks, Michael J. Jones, Oncel Tuzel, Ming Shao
2015	A*	`conf`	An improved deep learning architecture for person re-identification. CVPR Ejaz Ahmed, Michael J. Jones, Tim K. Marks
2015	A*	`conf`	Real-time 3D head pose and facial landmark estimation from depth images using triangular surface patch features. CVPR Chavdar Papazov, Tim K. Marks, Michael J. Jones
2014	—	`conf`	Improving Person Tracking Using an Inexpensive Thermal Infrared Sensor. CVPR Workshops Suren Kumar, Tim K. Marks, Michael J. Jones
2011	A*	`conf`	Fully automatic pose-invariant face recognition via 3D pose normalization. ICCV Akshay Asthana, Tim K. Marks, Michael J. Jones, Kinh H. Tieu, M. V. Rohith
2011	A	`conf`	Pose Normalization via Learned 2D Warping for Fully Automatic Face Recognition. BMVC Akshay Asthana, Michael J. Jones, Tim K. Marks, Kinh H. Tieu, Roland Goecke
2010	A*	`conf`	Morphable Reflectance Fields for enhancing face recognition. CVPR Ritwik Kumar, Michael J. Jones, Tim K. Marks
2008	A	`conf`	Iris Extraction Based on Intensity Gradient and Texture Difference. WACV Guodong Guo, Michael J. Jones
2008	B	`conf`	Pedestrian detection using boosted features over many frames. ICPR Michael J. Jones, Daniel Snow
2005	J	`jnl`	Detecting Pedestrians Using Patterns of Motion and Appearance. Int. J. Comput. Vis. Paul A. Viola, Michael J. Jones, Daniel Snow
2004	J	`jnl`	Robust Real-Time Face Detection. Int. J. Comput. Vis. Paul A. Viola, Michael J. Jones
2003	A*	`conf`	Detecting Pedestrians Using Patterns of Motion and Appearance. ICCV Paul A. Viola, Michael J. Jones, Daniel Snow
2002	J	`jnl`	Statistical Color Models with Application to Skin Detection. Int. J. Comput. Vis. Michael J. Jones, James M. Rehg
2001	—	`conf`	Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade. NIPS Paul A. Viola, Michael J. Jones
2001	—	`conf`	Rapid Object Detection using a Boosted Cascade of Simple Features. CVPR (1) Paul A. Viola, Michael J. Jones
2001	A*	`conf`	Robust Real-Time Face Detection. ICCV Paul A. Viola, Michael J. Jones
1999	A*	`conf`	A Cluster-based Statistical Model for Object Detection. ICCV Thomas D. Rikert, Michael J. Jones, Paul A. Viola
1999	A*	`conf`	Statistical Color Models with Application to Skin Detection. CVPR Michael J. Jones, James M. Rehg
1998	B	`conf`	Gaze Estimation Using Morphable Models. FG Thomas D. Rikert, Michael J. Jones
1998	A*	`conf`	Hierarchical Morphable Models. CVPR Michael J. Jones, Tomaso A. Poggio
1998	A*	`conf`	Multidimensional Morphable Models. ICCV Michael J. Jones, Tomaso A. Poggio
1998	J	`jnl`	Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes. Int. J. Comput. Vis. Michael J. Jones, Tomaso A. Poggio
1997	A*	`conf`	A bootstrapping algorithm for learning linear models of object classes. CVPR Thomas Vetter, Michael J. Jones, Tomaso A. Poggio
1997	—	`—`	Multidimensional morphable models: a framework for representing and matching object classes. Michael J. Jones
1995	A*	`conf`	Model-Based Matching of Line Drawings by Linear Combinations of Prototypes. ICCV Michael J. Jones, Tomaso A. Poggio
1995	J	`jnl`	Regularization Theory and Neural Networks Architectures. Neural Comput. Federico Girosi, Michael J. Jones, Tomaso A. Poggio