Portrait of Martial Hebert
Dean and University Professor of Robotics, School of Computer Science
Home Department: RI
Office: 6105 Gates and Hillman Centers
Phone: (412) 268-5704
Personal Homepage
Lab: Navlab
Mailing Address
  • Efficient techniques for object/category recognition
  • Use of contextual information, in particular 3-D geometry from images, for scene analysis
  • Symbolic knowledge for scene interpretation and reconstruction
  • Motion analysis for feature extraction and event detection in video clips
  • Efficient tools for the analysis of dynamic 3-D point clouds (“3-D signal processing”)
  • Perception for autonomous systems
  • Detection, tracking, and prediction in dynamic environments

Research Topics

Displaying 388 Publications

2022
Generative Modeling for Multi-task Visual Learning
Zhipeng Bao, Martial Hebert, and Yu-Xiong Wang
Conference Paper, Proceedings of (ICML) International Conference on Machine Learning, July, 2022
Discovering Objects that Can Move
Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, and Martial Hebert
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, June, 2022
2020
PanoNet3D: Combining Semantic and Geometric Understanding for LiDAR Point Cloud Detection
Xia Chen, Jianren Wang, David Held, and Martial Hebert
Conference Paper, Proceedings of International Conference on 3D Vision (3DV '20), pp. 753 - 761, November, 2020
Learning Orientation Distributions for Object Pose Estimation
Brian Okorn, Mengyun Xu, Martial Hebert, and David Held
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 10580 - 10587, October, 2020
Unsupervised learning of video representations via dense trajectory clustering
Pavel Tokmakov, Martial Hebert, and Cordelia Schmid
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 404 - 421, August, 2020
Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions
Hae-Gon Jeon, Sunghoon Im, Jean Oh, and Martial Hebert
Conference Paper, Proceedings of (ICRA) International Conference on Robotics and Automation, pp. 7135 - 7141, May, 2020
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions
Kashyap Chitta, Jose M. Alvarez, and Martial Hebert
Conference Paper, Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV '20), pp. 2009 - 2018, March, 2020
2019
Explainable Semantic Mapping for First Responders
J. Oh, M. Hebert, H.-G. Jeon, X. Perez, C. Dai, and Y. Song
Workshop Paper, NeurIPS '19 Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop, December, 2019
DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios
Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Dong-Geol Choi, Martial Hebert, and In So Kweon
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 187 - 194, November, 2019
Learning compositional representations for few-shot recognition
Pavel Tokmakov, Yuxiong Wang, and Martial Hebert
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 6371 - 6380, October, 2019

current phd students

Portrait of Zhipeng Bao
Zhipeng Bao

current masters students

Portrait of Anurag Bagchi
Anurag Bagchi

current affiliates

Portrait of Anurag Ghosh
Anurag Ghosh
Portrait of Christoph Mertz
Christoph Mertz
Portrait of Tiancheng Zhi
Tiancheng Zhi

past phd students

past masters students