Model-Based Matching of Line Drawings by Linear Combinations of Prototypes. - Michael J. Jones 001; Tomaso A. Poggio (ICCV, 1995)

Regularization Theory and Neural Networks Architectures. - Federico Girosi; Michael J. Jones 001; Tomaso A. Poggio (Neural Comput., 1995)

A bootstrapping algorithm for learning linear models of object classes. - Thomas Vetter; Michael J. Jones 001; Tomaso A. Poggio (CVPR, 1997)

Multidimensional morphable models: a framework for representing and matching object classes. - Michael J. Jones 001 (1997)

Hierarchical Morphable Models. - Michael J. Jones 001; Tomaso A. Poggio (CVPR, 1998)

Gaze Estimation Using Morphable Models. - Thomas D. Rikert; Michael J. Jones 001 (FG, 1998)

Multidimensional Morphable Models. - Michael J. Jones 001; Tomaso A. Poggio (ICCV, 1998)

Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes. - Michael J. Jones 001; Tomaso A. Poggio (Int. J. Comput. Vis., 1998)

A Cluster-based Statistical Model for Object Detection. - Thomas D. Rikert; Michael J. Jones 001; Paul A. Viola (ICCV, 1999)

Rapid Object Detection using a Boosted Cascade of Simple Features. - Paul A. Viola; Michael J. Jones 001 (CVPR (1), 2001)

Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade. - Paul A. Viola; Michael J. Jones 001 (NIPS, 2001)

Statistical Color Models with Application to Skin Detection. - Michael J. Jones 001; James M. Rehg (Int. J. Comput. Vis., 2002)

Robust Real-Time Face Detection. - Paul A. Viola; Michael J. Jones 001 (Int. J. Comput. Vis., 2004)

Detecting Pedestrians Using Patterns of Motion and Appearance. - Paul A. Viola; Michael J. Jones 001; Daniel Snow (Int. J. Comput. Vis., 2005)

Pedestrian detection using boosted features over many frames. - Michael J. Jones 001; Daniel Snow (ICPR, 2008)

Iris Extraction Based on Intensity Gradient and Texture Difference. - Guodong Guo; Michael J. Jones 001 (WACV, 2008)

Morphable Reflectance Fields for enhancing face recognition. - Ritwik Kumar; Michael J. Jones 001; Tim K. Marks (CVPR, 2010)

Pose Normalization via Learned 2D Warping for Fully Automatic Face Recognition. - Akshay Asthana; Michael J. Jones 001; Tim K. Marks; Kinh H. Tieu; Roland Goecke (BMVC, 2011)

Fully automatic pose-invariant face recognition via 3D pose normalization. - Akshay Asthana; Tim K. Marks; Michael J. Jones 001; Kinh H. Tieu; M. V. Rohith (ICCV, 2011)

Predicting link travel times from floating car data. - Michael Jones 002; Yanfeng Geng; Daniel Nikovski; Takahisa Hirata (ITSC, 2013)

Improving Person Tracking Using an Inexpensive Thermal Infrared Sensor. - Suren Kumar; Tim K. Marks; Michael J. Jones 001 (CVPR Workshops, 2014)

An improved deep learning architecture for person re-identification. - Ejaz Ahmed 002; Michael J. Jones 001; Tim K. Marks (CVPR, 2015)

Real-time 3D head pose and facial landmark estimation from depth images using triangular surface patch features. - Chavdar Papazov; Tim K. Marks; Michael J. Jones 001 (CVPR, 2015)

A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection. - Bharat Singh; Tim K. Marks; Michael J. Jones 001; Oncel Tuzel; Ming Shao (CVPR, 2016)

Exemplar learning for extremely efficient anomaly detection in real-valued time series. - Michael Jones 002; Daniel Nikovski; Makoto Imamura; Takahisa Hirata (Data Min. Knowl. Discov., 2016)

Body Part Alignment and Temporal Attention Pooling for Video-Based Person Re-Identification. - Sai Saketh Rambhatla; Michael Jones 002 (BMVC, 2019)

LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood. - Abhinav Kumar 004; Tim K. Marks; Wenxuan Mou; Ye Wang 001; Michael Jones 002; Anoop Cherian; Toshiaki Koike-Akino; Xiaoming Liu 002; Chen Feng 002 (CVPR, 2020)

Street Scene: A new dataset and evaluation protocol for video anomaly detection. - Bharathkumar Ramachandra; Michael J. Jones 001 (WACV, 2020)

Learning a distance function with a Siamese network to localize anomalies in videos. - Bharathkumar Ramachandra; Michael J. Jones 001; Ranga Raju Vatsavai (WACV, 2020)

Knowledge Distillation Thrives on Data Augmentation. - Huan Wang 014; Suhas Lohit; Michael Jones 002; Yun Fu 001 (CoRR, 2020)

Multi-head Knowledge Distillation for Model Compression. - Huan Wang 014; Suhas Lohit; Michael Jones 002; Yun Fu 001 (CoRR, 2020)

To Boost or not to Boost: On the Limits of Boosted Neural Networks. - Sai Saketh Rambhatla; Michael Jones 002; Rama Chellappa (CoRR, 2021)

Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution. - Wenpeng Yin 001; Shelby Heinecke; Jia Li 015; Nitish Shirish Keskar; Michael Jones 002; Shouzhong Shi; Stanislav Georgiev; Kurt Milich; Joseph Esposito; Caiming Xiong (CoRR, 2021)

Perceptual metric learning for video anomaly detection. - Bharathkumar Ramachandra; Michael Jones 002; Ranga Raju Vatsavai (Mach. Vis. Appl., 2021)

Cross-Modal Knowledge Transfer Without Task-Relevant Source Data. - Sk Miraj Ahmed; Suhas Lohit; Kuan-Chuan Peng; Michael Jones 002; Amit K. Roy-Chowdhury (ECCV (34), 2022)

An Empirical Analysis of Boosting Deep Networks. - Sai Saketh Rambhatla; Michael J. Jones 001; Rama Chellappa (IJCNN, 2022)

What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective. - Huan Wang 014; Suhas Lohit; Michael J. Jones 001; Yun Fu 001 (NeurIPS, 2022)

Model Compression Using Optimal Transport. - Suhas Lohit; Michael Jones 002 (WACV, 2022)

Converse: A Tree-Based Modular Task-Oriented Dialogue System. - Tian Xie; Xinyi Yang 002; Angela S. Lin; Feihong Wu; Kazuma Hashimoto; Jin Qu; Young Mo Kang; Wenpeng Yin 001; Huan Wang 014; Semih Yavuz; Gang Wu; Michael Jones 002; et al. (CoRR, 2022)

A Survey of Single-Scene Video Anomaly Detection. - Bharathkumar Ramachandra; Michael J. Jones 001; Ranga Raju Vatsavai (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

EVAL: Explainable Video Anomaly Localization. - Ashish Singh; Michael J. Jones 001; Erik G. Learned-Miller (CVPR, 2023)

Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes. - Fabien Delattre; David Dirnfeld; Phat Nguyen; Stephen Scarano; Michael J. Jones 001; Pedro Miraldo; Erik G. Learned-Miller (ICCV, 2023)

Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection. - Manish Sharma; Moitreya Chatterjee; Kuan-Chuan Peng; Suhas Lohit; Michael J. Jones 001 (ICCV (Workshops), 2023)

Tracklet-based Explainable Video Anomaly Localization. - Ashish Singh; Michael J. Jones 001; Erik G. Learned-Miller (CVPR Workshops, 2024)

Equivariant Spatio-temporal Self-supervision for LiDAR Object Detection. - Deepti Hegde; Suhas Lohit; Kuan-Chuan Peng; Michael J. Jones 001; Vishal M. Patel (ECCV (26), 2024)

Pixel-Grounded Prototypical Part Networks. - Zachariah Carmichael; Suhas Lohit; Anoop Cherian; Michael J. Jones 001; Walter J. Scheirer (WACV, 2024)

LUVLi Pre-trained Model. - Abhinav Kumar 004; Tim K. Marks; Xenxuan Mou; Ye Wang 001; Michael J. Jones 001; Anoop Cherian; Toshiaki Koike-Akino; Xiaoming Liu 002; Chen Feng 002 (Zenodo, 2024)

Multimodal 3D Object Detection on Unseen Domains. - Deepti Hegde; Suhas Lohit; Kuan-Chuan Peng; Michael Jones 002; Vishal Patel 001 (CVPR Workshops, 2025)

UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing. - Yung-Hsuan Lai; Janek Ebbers; Yu-Chiang Frank Wang; François G. Germain; Michael J. Jones 001; Moitreya Chatterjee (CVPR, 2025)

Improving Open-World Object Localization by Discovering Background. - Ashish Singh; Michael Jones 002; Kuan-Chuan Peng; Anoop Cherian; Moitreya Chatterjee; Erik G. Learned-Miller (CVPR Workshops, 2025)

ComplexVAD: Detecting Interaction Anomalies in Video. - Furkan Mumcu; Michael J. Jones 001; Yasin Yilmaz; Anoop Cherian (WACV (Workshops), 2025)

Programmatic Video Prediction Using Large Language Models. - Hao Tang; Kevin Ellis; Suhas Lohit; Michael J. Jones 001; Moitreya Chatterjee (CoRR, 2025)

LLM-Guided Agentic Object Detection for Open-World Understanding. - Furkan Mumcu; Michael J. Jones 001; Anoop Cherian; Yasin Yilmaz (CoRR, 2025)