Michael J. Jones

According to our database, Michael J. Jones authored at least 41 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Pixel-Grounded Prototypical Part Networks.

Zachariah Carmichael, Suhas Lohit, Anoop Cherian, Michael J. Jones, Walter J. Scheirer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection.

Manish Sharma, Moitreya Chatterjee, Kuan-Chuan Peng, Suhas Lohit, Michael Jones

CoRR, 2023

Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes.

Fabien Delattre, David Dirnfeld, Phat Nguyen, Stephen Scarano, Michael J. Jones, Pedro Miraldo, Erik G. Learned-Miller

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EVAL: Explainable Video Anomaly Localization.

Ashish Singh, Michael J. Jones, Erik G. Learned-Miller

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Survey of Single-Scene Video Anomaly Detection.

Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Model Compression Using Optimal Transport.

Suhas Lohit, Michael Jones

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

An Empirical Analysis of Boosting Deep Networks.

Sai Saketh Rambhatla, Michael J. Jones, Rama Chellappa

Proceedings of the International Joint Conference on Neural Networks, 2022

Cross-Modal Knowledge Transfer Without Task-Relevant Source Data.

Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael Jones, Amit K. Roy-Chowdhury

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Perceptual metric learning for video anomaly detection.

Bharathkumar Ramachandra, Michael Jones, Ranga Raju Vatsavai

Mach. Vis. Appl., 2021

To Boost or not to Boost: On the Limits of Boosted Neural Networks.

Sai Saketh Rambhatla, Michael Jones, Rama Chellappa

CoRR, 2021

2020

Multi-head Knowledge Distillation for Model Compression.

Huan Wang, Suhas Lohit, Michael Jones, Yun Fu

CoRR, 2020

Knowledge Distillation Thrives on Data Augmentation.

Huan Wang, Suhas Lohit, Michael Jones, Yun Fu

CoRR, 2020

Learning a distance function with a Siamese network to localize anomalies in videos.

Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Street Scene: A new dataset and evaluation protocol for video anomaly detection.

Bharathkumar Ramachandra, Michael J. Jones

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood.

Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Body Part Alignment and Temporal Attention Pooling for Video-Based Person Re-Identification.

Sai Saketh Rambhatla, Michael Jones

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2016

Exemplar learning for extremely efficient anomaly detection in real-valued time series.

Michael Jones, Daniel Nikovski, Makoto Imamura, Takahisa Hirata

Data Min. Knowl. Discov., 2016

A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection.

Bharat Singh, Tim K. Marks, Michael J. Jones, Oncel Tuzel, Ming Shao

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

An improved deep learning architecture for person re-identification.

Ejaz Ahmed, Michael J. Jones, Tim K. Marks

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Improving Person Tracking Using an Inexpensive Thermal Infrared Sensor.

Suren Kumar, Tim K. Marks, Michael J. Jones

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Predicting link travel times from floating car data.

Michael Jones, Yanfeng Geng, Daniel Nikovski, Takahisa Hirata

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2011

Fully automatic pose-invariant face recognition via 3D pose normalization.

Akshay Asthana, Tim K. Marks, Michael J. Jones, Kinh H. Tieu, M. V. Rohith

Proceedings of the IEEE International Conference on Computer Vision, 2011

Pose Normalization via Learned 2D Warping for Fully Automatic Face Recognition.

Akshay Asthana, Michael J. Jones, Tim K. Marks, Kinh H. Tieu, Roland Goecke

Proceedings of the British Machine Vision Conference, 2011

2010

Morphable Reflectance Fields for enhancing face recognition.

Ritwik Kumar, Michael J. Jones, Tim K. Marks

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008

Iris Extraction Based on Intensity Gradient and Texture Difference.

Guodong Guo, Michael J. Jones

Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008

Pedestrian detection using boosted features over many frames.

Michael J. Jones, Daniel Snow

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2005

Detecting Pedestrians Using Patterns of Motion and Appearance.

Paul A. Viola, Michael J. Jones, Daniel Snow

Int. J. Comput. Vis., 2005

2004

Robust Real-Time Face Detection.

Paul A. Viola, Michael J. Jones

Int. J. Comput. Vis., 2004

2002

Statistical Color Models with Application to Skin Detection.

Michael J. Jones, James M. Rehg

Int. J. Comput. Vis., 2002

2001

Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade.

Paul A. Viola, Michael J. Jones

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Rapid Object Detection using a Boosted Cascade of Simple Features.

Paul A. Viola, Michael J. Jones

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

1999

A Cluster-based Statistical Model for Object Detection.

Thomas D. Rikert, Michael J. Jones, Paul A. Viola

Proceedings of the International Conference on Computer Vision, 1999

1998

Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes.

Michael J. Jones, Tomaso A. Poggio

Int. J. Comput. Vis., 1998

Multidimensional Morphable Models.

Michael J. Jones, Tomaso A. Poggio

Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Gaze Estimation Using Morphable Models.

Thomas D. Rikert, Michael J. Jones

Proceedings of the 3rd International Conference on Face & Gesture Recognition (FG '98), 1998

Hierarchical Morphable Models.

Michael J. Jones, Tomaso A. Poggio

Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

1997

Multidimensional morphable models: a framework for representing and matching object classes.

Michael J. Jones

PhD thesis, 1997

A bootstrapping algorithm for learning linear models of object classes.

Thomas Vetter, Michael J. Jones, Tomaso A. Poggio

Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1995

Regularization Theory and Neural Networks Architectures.

Federico Girosi, Michael J. Jones, Tomaso A. Poggio

Neural Comput., 1995

Model-Based Matching of Line Drawings by Linear Combinations of Prototypes.

Michael J. Jones, Tomaso A. Poggio

Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995