Bernd Heisele

Microsoft (United States) — United States

Computer Science · Physical Sciences

23h-index3.1kcitations47works0.02yr avg
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Research Topics

Face and Expression Recognition(24), Advanced Image and Video Retrieval Techniques(17), Image Retrieval and Classification Techniques(13), Video Surveillance and Tracking Methods(12), Face recognition and analysis(11)

Publications47 total

Monocular localization in urban environments using road markings
2017· 62 cited
Intent-aware long-term prediction of pedestrian motion
2016· 149 cited
Dynamic attention priors: a new and efficient concept for improving object detection
Neurocomputing·2016· 1 citedOpen Access
Partially occluded object detection by finding the visible features and parts
2015· 6 cited
Robust visual pedestrian detection by tight coupling to tracking
2014· 3 citedOpen Access
Real-time pedestrian detection and pose classification on a GPU
2013· 15 cited
Object Recognition with 3D Models
2009· 7 cited
Local shape features for object recognition
Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition·2008· 4 cited
Multimodal Face and Speaker Identification for Mobile Devices
Signals and communication technology·2007· 10 cited
A Component-based Framework for Face Detection and Identification
International Journal of Computer Vision·2006· 220 cited
CONTRIBUTORS
Elsevier eBooks·2006
Components for Object Detection and Identification
Lecture notes in computer science·2006· 10 cited
Recognizing Expressions in a New Database Containing Played and Natural Expressions
2006· 8 cited
Feature reduction and hierarchy of classifiers for fast object detection in video images
2005· 46 cited
Component-Based Face Recognition with 3D Morphable Models
2005· 268 cited
Hierarchical Classification and Feature Reduction for Fast Face Detection
WORLD SCIENTIFIC eBooks·2005· 6 cited
Using component features for face recognition
2004· 39 cited
Components for face recognition
2004· 45 cited
Expectation maximization of prefrontal-superior temporal network by indicator component-based approach
Neurocomputing·2004
Component based recognition of objects in an office environment
DSpace@MIT (Massachusetts Institute of Technology)·2003· 7 citedOpen Access
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Frequent Co-authors

Tomaso Poggio(16), T. Serre(8), Purdy Ho(4), Volker Blanz(4), Massimiliano Pontil(4), Walter Ritter(4), Jennifer Huang(3), Eugene Weinstein(3), Sam Prentice(2), Alper Ayvacı(2), Chikahito Nakajima(2), Thomas Vetter(2), Sayan Mukherjee(2), Takamasa Koshizen(2), Yuri Ivanov(2), Timothy J. Hazen(2), Alex Park(2), Alexander Gepperth(2), M. Ortíz(2), Christian Morgenstern(2)