Michael J. Jones

Orcid: 0000-0001-5215-2346

Affiliations:
  • Mitsubishi Electric Research Labs (MERL), Cambridge, MA, USA


According to our database1, Michael J. Jones authored at least 46 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multimodal 3D Object Detection on Unseen Domains.
CoRR, 2024

Pixel-Grounded Prototypical Part Networks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Equivariant Spatio-temporal Self-supervision for LiDAR Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

Tracklet-based Explainable Video Anomaly Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection.
CoRR, 2023

Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EVAL: Explainable Video Anomaly Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Survey of Single-Scene Video Anomaly Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Converse: A Tree-Based Modular Task-Oriented Dialogue System.
CoRR, 2022

Model Compression Using Optimal Transport.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

An Empirical Analysis of Boosting Deep Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

Cross-Modal Knowledge Transfer Without Task-Relevant Source Data.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Perceptual metric learning for video anomaly detection.
Mach. Vis. Appl., 2021

Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution.
CoRR, 2021

To Boost or not to Boost: On the Limits of Boosted Neural Networks.
CoRR, 2021

2020
Multi-head Knowledge Distillation for Model Compression.
CoRR, 2020

Knowledge Distillation Thrives on Data Augmentation.
CoRR, 2020

Learning a distance function with a Siamese network to localize anomalies in videos.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Street Scene: A new dataset and evaluation protocol for video anomaly detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood.
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.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2016
Exemplar learning for extremely efficient anomaly detection in real-valued time series.
Data Min. Knowl. Discov., 2016

A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

An improved deep learning architecture for person re-identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Improving Person Tracking Using an Inexpensive Thermal Infrared Sensor.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Predicting link travel times from floating car data.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2011
Fully automatic pose-invariant face recognition via 3D pose normalization.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Pose Normalization via Learned 2D Warping for Fully Automatic Face Recognition.
Proceedings of the British Machine Vision Conference, 2011

2010
Morphable Reflectance Fields for enhancing face recognition.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008
Iris Extraction Based on Intensity Gradient and Texture Difference.
Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008

Pedestrian detection using boosted features over many frames.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2005
Detecting Pedestrians Using Patterns of Motion and Appearance.
Int. J. Comput. Vis., 2005

2004
Robust Real-Time Face Detection.
Int. J. Comput. Vis., 2004

2002
Statistical Color Models with Application to Skin Detection.
Int. J. Comput. Vis., 2002

2001
Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade.
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.
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.
Proceedings of the International Conference on Computer Vision, 1999

1998
Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes.
Int. J. Comput. Vis., 1998

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

Gaze Estimation Using Morphable Models.
Proceedings of the 3rd International Conference on Face & Gesture Recognition (FG '98), 1998

Hierarchical Morphable Models.
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.
PhD thesis, 1997

A bootstrapping algorithm for learning linear models of object classes.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1995
Regularization Theory and Neural Networks Architectures.
Neural Comput., 1995

Model-Based Matching of Line Drawings by Linear Combinations of Prototypes.
Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995


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