The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Pattern recognition, Machine learning and Object detection. Image segmentation, Cognitive neuroscience of visual object recognition, Feature extraction, Image and Contextual image classification are among the areas of Artificial intelligence where the researcher is concentrating his efforts. He combines subjects such as Robot, Robotics and Representation with his study of Computer vision.
While the research belongs to areas of Pattern recognition, Martial Hebert spends his time largely on the problem of Solid modeling, intersecting his research to questions surrounding Point cloud. His Machine learning study deals with Inference intersecting with Graphical model. His research in Object detection intersects with topics in Orientation, Tracking and Viola–Jones object detection framework.
Artificial intelligence, Computer vision, Pattern recognition, Machine learning and Object are his primary areas of study. Cognitive neuroscience of visual object recognition, Robot, Mobile robot, Object detection and Segmentation are the subjects of his Artificial intelligence studies. Martial Hebert has researched Mobile robot in several fields, including Real-time computing and Motion planning.
His work investigates the relationship between Computer vision and topics such as Representation that intersect with problems in Task. Martial Hebert has included themes like Contextual image classification and Image in his Pattern recognition study. His biological study spans a wide range of topics, including Classifier, Training set and Inference.
His main research concerns Artificial intelligence, Machine learning, Computer vision, Object and Pattern recognition. Artificial intelligence is closely attributed to Task in his study. His research in Machine learning tackles topics such as Training set which are related to areas like Discriminative model.
Computer vision is closely attributed to Visual odometry in his research. His Object detection study in the realm of Object connects with subjects such as Process. Many of his studies involve connections with topics such as Feature and Pattern recognition.
Martial Hebert mostly deals with Artificial intelligence, Machine learning, Computer vision, Benchmark and Object. His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Pattern recognition. His work on Anomaly detection, Discriminative model and Discriminative learning as part of general Pattern recognition study is frequently connected to Density estimation and Simple, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Machine learning study incorporates themes from Structure and Representation. His Computer vision study integrates concerns from other disciplines, such as Classifier and One-shot learning. His Benchmark research is multidisciplinary, incorporating elements of Normalization and Hallucinating.
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Using spin images for efficient object recognition in cluttered 3D scenes
A.E. Johnson;M. Hebert.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1999)
Autonomous driving in urban environments: Boss and the Urban Challenge
Chris Urmson;Joshua Anhalt;Drew Bagnell;Christopher Baker.
Journal of Field Robotics (2008)
Putting Objects in Perspective
D. Hoiem;A.A. Efros;M. Hebert.
computer vision and pattern recognition (2006)
Vision and navigation for the Carnegie-Mellon Navlab
C. Thorpe;M.H. Hebert;T. Kanade;S.A. Shafer.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1988)
A spectral technique for correspondence problems using pairwise constraints
M. Leordeanu;M. Hebert.
international conference on computer vision (2005)
The representation, recognition, and locating of 3-d objects
O D Faugeras;M Hebert.
The International Journal of Robotics Research (1986)
Toward Objective Evaluation of Image Segmentation Algorithms
R. Unnikrishnan;C. Pantofaru;M. Hebert.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)
Geometric context from a single image
D. Hoiem;A.A. Efros;M. Hebert.
international conference on computer vision (2005)
Recovering Surface Layout from an Image
Derek Hoiem;Alexei A. Efros;Martial Hebert.
International Journal of Computer Vision (2007)
Automatic photo pop-up
Derek Hoiem;Alexei A. Efros;Martial Hebert.
international conference on computer graphics and interactive techniques (2005)
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