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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2024
[c287]Zhipeng Bao
, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert:
Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models. SIGGRAPH (Conference Paper Track) 2024: 103- [i70]Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liang-Yan Gui, Yu-Xiong Wang:
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding. CoRR abs/2409.03757 (2024) - 2023
- [j63]Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, François Rameau, Dong-Geol Choi, Jean Oh, In So Kweon, Martial Hebert:
A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6766-6782 (2023) - [c286]Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Object Discovery from Motion-Guided Tokens. CVPR 2023: 22972-22981 - [c285]Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Multi-task View Synthesis with Neural Radiance Fields. ICCV 2023: 21481-21492 - [c284]Leonid Keselman, Martial Hebert:
Discovering Multiple Algorithm Configurations. ICRA 2023: 11264-11271 - [c283]Leonid Keselman, Katherine Shih, Martial Hebert, Aaron Steinfeld:
Optimizing Algorithms from Pairwise User Preferences. IROS 2023: 4161-4167 - [c282]Mingtong Zhang, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields. WACV 2023: 795-805 - [i69]Leonid Keselman, Martial Hebert:
Discovering Multiple Algorithm Configurations. CoRR abs/2303.07434 (2023) - [i68]Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Object Discovery from Motion-Guided Tokens. CoRR abs/2303.15555 (2023) - [i67]Nadine Chang, Francesco Ferroni, Michael J. Tarr, Martial Hebert, Deva Ramanan:
Thinking Like an Annotator: Generation of Dataset Labeling Instructions. CoRR abs/2306.14035 (2023) - [i66]Leonid Keselman, Katherine Shih, Martial Hebert, Aaron Steinfeld:
Optimizing Algorithms From Pairwise User Preferences. CoRR abs/2308.04571 (2023) - [i65]Leonid Keselman, Martial Hebert:
Flexible Techniques for Differentiable Rendering with 3D Gaussians. CoRR abs/2308.14737 (2023) - [i64]Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Multi-task View Synthesis with Neural Radiance Fields. CoRR abs/2309.17450 (2023) - [i63]Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert:
Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models. CoRR abs/2312.06712 (2023) - 2022
- [j62]Hae-Gon Jeon, Sunghoon Im, Jaesung Choe, Minjun Kang, Joon-Young Lee, Martial Hebert:
CMSNet: Deep Color and Monochrome Stereo. Int. J. Comput. Vis. 130(3): 652-668 (2022) - [j61]Kyungdon Joo, Pyojin Kim, Martial Hebert, In So Kweon, Hyoun Jin Kim:
Linear RGB-D SLAM for Structured Environments. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8403-8419 (2022) - [j60]Tiancheng Zhi, Bowei Chen, Ivaylo Boyadzhiev, Sing Bing Kang, Martial Hebert, Srinivasa G. Narasimhan:
Semantically supervised appearance decomposition for virtual staging from a single panorama. ACM Trans. Graph. 41(4): 83:1-83:15 (2022) - [c281]Brian Okorn, Chuer Pan, Martial Hebert, David Held:
Deep Projective Rotation Estimation through Relative Supervision. CoRL 2022: 1575-1585 - [c280]Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Discovering Objects that Can Move. CVPR 2022: 11779-11788 - [c279]Bowei Chen, Tiancheng Zhi, Martial Hebert, Srinivasa G. Narasimhan:
Learning Continuous Implicit Representation for Near-Periodic Patterns. ECCV (15) 2022: 529-546 - [c278]Leonid Keselman, Martial Hebert:
Approximate Differentiable Rendering with Algebraic Surfaces. ECCV (32) 2022: 596-614 - [c277]Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Generative Modeling for Multi-task Visual Learning. ICML 2022: 1537-1554 - [i62]Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Discovering Objects that Can Move. CoRR abs/2203.10159 (2022) - [i61]Tiancheng Zhi, Bowei Chen, Ivaylo Boyadzhiev, Sing Bing Kang, Martial Hebert, Srinivasa G. Narasimhan:
Semantically Supervised Appearance Decomposition for Virtual Staging from a Single Panorama. CoRR abs/2205.13150 (2022) - [i60]Mingtong Zhang, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields. CoRR abs/2206.04669 (2022) - [i59]Leonid Keselman, Martial Hebert:
Approximate Differentiable Rendering with Algebraic Surfaces. CoRR abs/2207.10606 (2022) - [i58]Bowei Chen, Tiancheng Zhi, Martial Hebert, Srinivasa G. Narasimhan:
Learning Continuous Implicit Representation for Near-Periodic Patterns. CoRR abs/2208.12278 (2022) - [i57]Brian Okorn, Chuer Pan, Martial Hebert, David Held:
Deep Projective Rotation Estimation through Relative Supervision. CoRR abs/2211.11182 (2022) - 2021
- [c276]Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Unlocking the Full Potential of Small Data With Diverse Supervision. CVPR Workshops 2021: 2642-2652 - [c275]Liangke Gui, Adrien Bardes, Ruslan Salakhutdinov, Alexander Hauptmann, Martial Hebert, Yu-Xiong Wang:
Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision. ICCV 2021: 8681-8691 - [c274]Zhipeng Bao, Yu-Xiong Wang, Martial Hebert:
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis. ICLR 2021 - [c273]Brian Okorn, Qiao Gu, Martial Hebert, David Held:
ZePHyR: Zero-shot Pose Hypothesis Rating. ICRA 2021: 14141-14148 - [i56]Brian Okorn, Qiao Gu, Martial Hebert, David Held:
ZePHyR: Zero-shot Pose Hypothesis Rating. CoRR abs/2104.13526 (2021) - [i55]Satyaki Chakraborty, Martial Hebert:
Learning to Track Object Position through Occlusion. CoRR abs/2106.10766 (2021) - [i54]Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Generative Modeling for Multi-task Visual Learning. CoRR abs/2106.13409 (2021) - 2020
- [j59]Yair Weiss, Vittorio Ferrari, Cristian Sminchisescu, Martial Hebert:
Special Issue: Advances in Architectures and Theories for Computer Vision. Int. J. Comput. Vis. 128(3): 573-574 (2020) - [c272]Xia Chen, Jianren Wang, David Held, Martial Hebert:
PanoNet3D: Combining Semantic and Geometric Understanding for LiDAR Point Cloud Detection. 3DV 2020: 753-761 - [c271]Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
Unsupervised Learning of Video Representations via Dense Trajectory Clustering. ECCV Workshops (2) 2020: 404-421 - [c270]Hae-Gon Jeon, Sunghoon Im, Jean Oh, Martial Hebert:
Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions. ICRA 2020: 7135-7141 - [c269]Brian Okorn, Mengyun Xu, Martial Hebert, David Held:
Learning Orientation Distributions for Object Pose Estimation. IROS 2020: 10580-10587 - [c268]Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao:
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments. IROS 2020: 11748-11754 - [c267]Kashyap Chitta, José M. Álvarez, Martial Hebert:
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions. WACV 2020: 2009-2018 - [i53]Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
Unsupervised Learning of Video Representations via Dense Trajectory Clustering. CoRR abs/2006.15731 (2020) - [i52]Brian Okorn, Mengyun Xu, Martial Hebert, David Held:
Learning Orientation Distributions for Object Pose Estimation. CoRR abs/2007.01418 (2020) - [i51]Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao:
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments. CoRR abs/2007.15724 (2020) - [i50]Xia Chen, Jianren Wang, Martial Hebert:
PanoNet: Real-time Panoptic Segmentation through Position-Sensitive Feature Embedding. CoRR abs/2008.00192 (2020) - [i49]Zhipeng Bao, Yu-Xiong Wang, Martial Hebert:
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis. CoRR abs/2008.06981 (2020) - [i48]Nadine Chang, Jayanth Koushik, Michael J. Tarr, Martial Hebert, Yu-Xiong Wang:
Alpha Net: Adaptation with Composition in Classifier Space. CoRR abs/2008.07073 (2020) - [i47]Vivek Roy, Yan Xu, Yu-Xiong Wang, Kris Kitani, Ruslan Salakhutdinov, Martial Hebert:
Few-Shot Learning with Intra-Class Knowledge Transfer. CoRR abs/2008.09892 (2020) - [i46]Zuxin Liu, Hongyi Zhou, Baiming Chen, Sicheng Zhong, Martial Hebert, Ding Zhao:
Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method. CoRR abs/2010.07968 (2020) - [i45]Xia Chen, Jianren Wang, David Held, Martial Hebert:
PanoNet3D: Combining Semantic and Geometric Understanding for LiDARPoint Cloud Detection. CoRR abs/2012.09418 (2020)
2010 – 2019
- 2019
- [c266]Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell:
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing. AAAI 2019: 3812-3821 - [c265]Leonid Keselman, Martial Hebert:
Direct Fitting of Gaussian Mixture Models. CRV 2019: 25-32 - [c264]Matthew Trager, Martial Hebert, Jean Ponce:
Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry. CVPR 2019: 225-233 - [c263]Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert:
Image Deformation Meta-Networks for One-Shot Learning. CVPR 2019: 8680-8689 - [c262]Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, Srinivasa G. Narasimhan:
Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds. CVPR 2019: 8699-8708 - [c261]Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
A Structured Model for Action Detection. CVPR 2019: 9975-9984 - [c260]Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Compositional Representations for Few-Shot Recognition. ICCV 2019: 6371-6380 - [c259]Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Meta-Learning to Detect Rare Objects. ICCV 2019: 9924-9933 - [c258]Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Dong-Geol Choi, Martial Hebert, In So Kweon:
DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios. IROS 2019: 187-194 - [c257]Kevin Christensen, Christoph Mertz, Padmanabhan Pillai, Martial Hebert, Mahadev Satyanarayanan:
Towards a Distraction-free Waze. HotMobile 2019: 15-20 - [i44]Leonid Keselman, Martial Hebert:
Direct Fitting of Gaussian Mixture Models. CoRR abs/1904.05537 (2019) - [i43]Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
A Study on Action Detection in the Wild. CoRR abs/1904.12993 (2019) - [i42]Tejas Khot, Shubham Agrawal, Shubham Tulsiani, Christoph Mertz, Simon Lucey, Martial Hebert:
Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency. CoRR abs/1905.02706 (2019) - [i41]Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert:
Image Deformation Meta-Networks for One-Shot Learning. CoRR abs/1905.11641 (2019) - [i40]Kevin Christensen, Martial Hebert:
Edge-Direct Visual Odometry. CoRR abs/1906.04838 (2019) - [i39]Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Growing a Brain: Fine-Tuning by Increasing Model Capacity. CoRR abs/1907.07844 (2019) - [i38]Kashyap Chitta, José M. Álvarez, Martial Hebert:
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions. CoRR abs/1907.11821 (2019) - [i37]Jean Oh, Martial Hebert, Hae-Gon Jeon, Xavier Perez-Sala, Chia Dai, Yeeho Song:
Explainable Semantic Mapping for First Responders. CoRR abs/1910.07093 (2019) - [i36]Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Generalizable Representations via Diverse Supervision. CoRR abs/1911.12911 (2019) - 2018
- [c256]Wentao Yuan, Tejas Khot, David Held, Christoph Mertz, Martial Hebert:
PCN: Point Completion Network. 3DV 2018: 728-737 - [c255]Ishan Misra, Ross B. Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten:
Learning by Asking Questions. CVPR 2018: 11-20 - [c254]Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, Srinivasa G. Narasimhan:
Deep Material-Aware Cross-Spectral Stereo Matching. CVPR 2018: 1916-1925 - [c253]Yu-Xiong Wang, Ross B. Girshick, Martial Hebert, Bharath Hariharan:
Low-Shot Learning From Imaginary Data. CVPR 2018: 7278-7286 - [e19]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11205, Springer 2018, ISBN 978-3-030-01245-8 [contents] - [e18]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11206, Springer 2018, ISBN 978-3-030-01215-1 [contents] - [e17]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11207, Springer 2018, ISBN 978-3-030-01218-2 [contents] - [e16]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11208, Springer 2018, ISBN 978-3-030-01224-3 [contents] - [e15]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part V. Lecture Notes in Computer Science 11209, Springer 2018, ISBN 978-3-030-01227-4 [contents] - [e14]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VI. Lecture Notes in Computer Science 11210, Springer 2018, ISBN 978-3-030-01230-4 [contents] - [e13]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VII. Lecture Notes in Computer Science 11211, Springer 2018, ISBN 978-3-030-01233-5 [contents] - [e12]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VIII. Lecture Notes in Computer Science 11212, Springer 2018, ISBN 978-3-030-01236-6 [contents] - [e11]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IX. Lecture Notes in Computer Science 11213, Springer 2018, ISBN 978-3-030-01239-7 [contents] - [e10]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part X. Lecture Notes in Computer Science 11214, Springer 2018, ISBN 978-3-030-01248-9 [contents] - [e9]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XI. Lecture Notes in Computer Science 11215, Springer 2018, ISBN 978-3-030-01251-9 [contents] - [e8]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XII. Lecture Notes in Computer Science 11216, Springer 2018, ISBN 978-3-030-01257-1 [contents] - [e7]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIII. Lecture Notes in Computer Science 11217, Springer 2018, ISBN 978-3-030-01260-1 [contents] - [e6]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIV. Lecture Notes in Computer Science 11218, Springer 2018, ISBN 978-3-030-01263-2 [contents] - [e5]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XV. Lecture Notes in Computer Science 11219, Springer 2018, ISBN 978-3-030-01266-3 [contents] - [e4]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XVI. Lecture Notes in Computer Science 11220, Springer 2018, ISBN 978-3-030-01269-4 [contents] - [i35]Yu-Xiong Wang, Ross B. Girshick, Martial Hebert, Bharath Hariharan:
Low-Shot Learning from Imaginary Data. CoRR abs/1801.05401 (2018) - [i34]Wentao Yuan, Tejas Khot, David Held, Christoph Mertz, Martial Hebert:
PCN: Point Completion Network. CoRR abs/1808.00671 (2018) - [i33]Kashyap Chitta, Jianwei Feng, Martial Hebert:
Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels. CoRR abs/1811.03542 (2018) - [i32]Wentao Yuan, David Held, Christoph Mertz, Martial Hebert:
Iterative Transformer Network for 3D Point Cloud. CoRR abs/1811.11209 (2018) - [i31]Yubo Zhang, Pavel Tokmakov, Cordelia Schmid, Martial Hebert:
A Structured Model For Action Detection. CoRR abs/1812.03544 (2018) - [i30]Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Compositional Representations for Few-Shot Recognition. CoRR abs/1812.09213 (2018) - 2017
- [j58]Katharina Mülling, Arun Venkatraman, Jean-Sebastien Valois, John Downey, Jeffrey M. Weiss, Shervin Javdani, Martial Hebert, Andrew B. Schwartz, Jennifer L. Collinger, J. Andrew Bagnell:
Autonomy infused teleoperation with application to brain computer interface controlled manipulation. Auton. Robots 41(6): 1401-1422 (2017) - [c252]Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell:
Gradient Boosting on Stochastic Data Streams. AISTATS 2017: 595-603 - [c251]Ishan Misra, Abhinav Gupta, Martial Hebert:
From Red Wine to Red Tomato: Composition with Context. CVPR 2017: 1160-1169 - [c250]Matthew Trager, Bernd Sturmfels, John F. Canny, Martial Hebert, Jean Ponce:
General Models for Rational Cameras and the Case of Two-Slit Projections. CVPR 2017: 2520-2528 - [c249]Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Growing a Brain: Fine-Tuning by Increasing Model Capacity. CVPR 2017: 3029-3038 - [c248]Debidatta Dwibedi, Ishan Misra, Martial Hebert:
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection. ICCV 2017: 1310-1319 - [c247]Jacob Walker, Kenneth Marino, Abhinav Gupta, Martial Hebert:
The Pose Knows: Video Forecasting by Generating Pose Futures. ICCV 2017: 3352-3361 - [c246]Liangke Gui, Yu-Xiong Wang, Martial Hebert:
Few-Shot Hash Learning for Image Retrieval. ICCV Workshops 2017: 1228-1237 - [c245]Dhruv Mauria Saxena, Vince Kurtz, Martial Hebert:
Learning robust failure response for autonomous vision based flight. ICRA 2017: 5824-5829 - [c244]Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, James Andrew Bagnell:
Predictive-State Decoders: Encoding the Future into Recurrent Networks. NIPS 2017: 1172-1183 - [c243]Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Learning to Model the Tail. NIPS 2017: 7029-7039 - [i29]Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell:
Gradient Boosting on Stochastic Data Streams. CoRR abs/1703.00377 (2017) - [i28]Jacob Walker, Kenneth Marino, Abhinav Gupta, Martial Hebert:
The Pose Knows: Video Forecasting by Generating Pose Futures. CoRR abs/1705.00053 (2017) - [i27]Debidatta Dwibedi, Ishan Misra, Martial Hebert:
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection. CoRR abs/1708.01642 (2017) - [i26]Hanzhang Hu, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert:
Anytime Neural Networks via Joint Optimization of Auxiliary Losses. CoRR abs/1708.06832 (2017) - [i25]Allison Del Giorno, J. Andrew Bagnell, Martial Hebert:
Ignoring Distractors in the Absence of Labels: Optimal Linear Projection to Remove False Positives During Anomaly Detection. CoRR abs/1709.04549 (2017) - [i24]Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell:
Predictive-State Decoders: Encoding the Future into Recurrent Networks. CoRR abs/1709.08520 (2017) - [i23]Hanzhang Hu, Debadeepta Dey, Allison Del Giorno, Martial Hebert, J. Andrew Bagnell:
Log-DenseNet: How to Sparsify a DenseNet. CoRR abs/1711.00002 (2017) - [i22]Ishan Misra, Ross B. Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten:
Learning by Asking Questions. CoRR abs/1712.01238 (2017) - 2016
- [j57]Matthew Trager, Jean Ponce, Martial Hebert:
Trinocular Geometry Revisited. Int. J. Comput. Vis. 120(2): 134-152 (2016) - [c242]Arun Venkatraman, Wen Sun, Martial Hebert, J. Andrew Bagnell, Byron Boots:
Online Instrumental Variable Regression with Applications to Online Linear System Identification. AAAI 2016: 2101-2107 - [c241]Yu-Xiong Wang, Martial Hebert:
Learning by Transferring from Unsupervised Universal Sources. AAAI 2016: 2187-2193 - [c240]Damien Teney, Martial Hebert:
Learning to Extract Motion from Videos in Convolutional Neural Networks. ACCV (5) 2016: 412-428 - [c239]Matthew Trager, Martial Hebert, Jean Ponce:
Consistency of Silhouettes and Their Duals. CVPR 2016: 3346-3354 - [c238]Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert:
Cross-Stitch Networks for Multi-task Learning. CVPR 2016: 3994-4003 - [c237]Allison Del Giorno, J. Andrew Bagnell, Martial Hebert:
A Discriminative Framework for Anomaly Detection in Large Videos. ECCV (5) 2016: 334-349 - [c236]Ishan Misra, C. Lawrence Zitnick, Martial Hebert:
Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification. ECCV (1) 2016: 527-544 - [c235]Yu-Xiong Wang, Martial Hebert:
Learning to Learn: Model Regression Networks for Easy Small Sample Learning. ECCV (6) 2016: 616-634 - [c234]Jacob Walker, Carl Doersch, Abhinav Gupta, Martial Hebert:
An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders. ECCV (7) 2016: 835-851 - [c233]Arun Venkatraman, Wen Sun, Martial Hebert, Byron Boots, J. Andrew Bagnell:
Inference Machines for Nonparametric Filter Learning. IJCAI 2016: 2074-2081 - [c232]Shreyansh Daftry, Sam Zeng, J. Andrew Bagnell, Martial Hebert:
Introspective perception: Learning to predict failures in vision systems. IROS 2016: 1743-1750 - [c231]Shreyansh Daftry, J. Andrew Bagnell, Martial Hebert:
Learning Transferable Policies for Monocular Reactive MAV Control. ISER 2016: 3-11 - [c230]Jean Oh, Thomas M. Howard, Matthew R. Walter, Daniel Barber, Menglong Zhu, Sangdon Park, Arne Suppé, Luis E. Navarro-Serment, Felix Duvallet, Abdeslam Boularias, Oscar J. Romero, Jerry Vinokurov, Terence Keegan, Robert M. Dean, Craig Lennon, Barry A. Bodt, Marshal Childers, Jianbo Shi, Kostas Daniilidis, Nicholas Roy, Christian Lebiere, Martial Hebert, Anthony Stentz:
Integrated Intelligence for Human-Robot Teams. ISER 2016: 309-322 - [c229]Arun Venkatraman, Roberto Capobianco, Lerrel Pinto, Martial Hebert, Daniele Nardi, J. Andrew Bagnell:
Improved Learning of Dynamics Models for Control. ISER 2016: 703-713 - [c228]Ankit Laddha, Mehmet Kemal Kocamaz, Luis E. Navarro-Serment, Martial Hebert:
Map-supervised road detection. Intelligent Vehicles Symposium 2016: 118-123 - [c227]Yu-Xiong Wang, Martial Hebert:
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs. NIPS 2016: 244-252 - [c226]Hanzhang Hu, Alexander Grubb, J. Andrew Bagnell, Martial Hebert:
Efficient Feature Group Sequencing for Anytime Linear Prediction. UAI 2016 - [c225]Rohit Girdhar, David F. Fouhey, Kris M. Kitani, Abhinav Gupta, Martial Hebert:
Cutting through the clutter: Task-relevant features for image matching. WACV 2016: 1-9 - [c224]Wajahat Hussain, Javier Civera, Luis Montano, Martial Hebert:
Dealing with small data and training blind spots in the Manhattan world. WACV 2016: 1-9 - [p4]Wolfram Burgard, Martial Hebert, Maren Bennewitz:
World Modeling. Springer Handbook of Robotics, 2nd Ed. 2016: 1135-1152 - [p3]Yong Jae Lee, Alexei A. Efros, Martial Hebert:
Discovering Mid-level Visual Connections in Space and Time. Large-Scale Visual Geo-Localization 2016: 21-40 - [i21]Damien Teney, Martial Hebert:
Learning to Extract Motion from Videos in Convolutional Neural Networks. CoRR abs/1601.07532 (2016) - [i20]Ishan Misra, C. Lawrence Zitnick, Martial Hebert:
Unsupervised Learning using Sequential Verification for Action Recognition. CoRR abs/1603.08561 (2016) - [i19]Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert:
Cross-stitch Networks for Multi-task Learning. CoRR abs/1604.03539 (2016) - [i18]Shreyansh Daftry, Sam Zeng, Arbaaz Khan, Debadeepta Dey, Narek Melik-Barkhudarov, J. Andrew Bagnell, Martial Hebert:
Robust Monocular Flight in Cluttered Outdoor Environments. CoRR abs/1604.04779 (2016) - [i17]Jacob Walker, Carl Doersch, Abhinav Gupta, Martial Hebert:
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders. CoRR abs/1606.07873 (2016) - [i16]Nady Boules, Khari Douglas, Stuart I. Feldman, Limor Fix, Gregory D. Hager, Brent Hailpern, Martial Hebert, Daniel P. Lopresti, Beth Mynatt, Christopher J. Rossbach, Helen V. Wright:
The Future of Computing Research: Industry-Academic Collaborations. CoRR abs/1606.09236 (2016) - [i15]Shreyansh Daftry, Sam Zeng, J. Andrew Bagnell, Martial Hebert:
Introspective Perception: Learning to Predict Failures in Vision Systems. CoRR abs/1607.08665 (2016) - [i14]Shreyansh Daftry, J. Andrew Bagnell, Martial Hebert:
Learning Transferable Policies for Monocular Reactive MAV Control. CoRR abs/1608.00627 (2016) - [i13]Allison Del Giorno, J. Andrew Bagnell, Martial Hebert:
A Discriminative Framework for Anomaly Detection in Large Videos. CoRR abs/1609.08938 (2016) - [i12]Matthew Trager, Bernd Sturmfels, John F. Canny, Martial Hebert, Jean Ponce:
General models for rational cameras and the case of two-slit projections. CoRR abs/1612.01160 (2016) - [i11]Xiaofang Wang, Kris M. Kitani, Martial Hebert:
Contextual Visual Similarity. CoRR abs/1612.02534 (2016) - 2015
- [j56]Scott Satkin, Maheen Rashid, Jason Lin, Martial Hebert:
3DNN: 3D Nearest Neighbor. Int. J. Comput. Vis. 111(1): 69-97 (2015) - [j55]Alvaro Collet, Bo Xiong, Corina Gurau, Martial Hebert, Siddhartha S. Srinivasa:
HerbDisc: Towards lifelong robotic object discovery. Int. J. Robotics Res. 34(1): 3-25 (2015) - [j54]Hongwen Kang, Martial Hebert, Alexei A. Efros, Takeo Kanade:
Data-Driven Objectness. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 189-195 (2015) - [c223]Jean H. Oh, Arne Suppé, Felix Duvallet, Abdeslam Boularias, Luis E. Navarro-Serment, Martial Hebert, Anthony Stentz, Jerry Vinokurov, Oscar J. Romero, Christian Lebiere, Robert M. Dean:
Toward Mobile Robots Reasoning Like Humans. AAAI 2015: 1371-1379 - [c222]Arun Venkatraman, Martial Hebert, J. Andrew Bagnell:
Improving Multi-Step Prediction of Learned Time Series Models. AAAI 2015: 3024-3030 - [c221]Yu-Xiong Wang, Martial Hebert:
Model recommendation: Generating object detectors from few samples. CVPR 2015: 1619-1628 - [c220]Jiyan Pan, Martial Hebert, Takeo Kanade:
Inferring 3D layout of building facades from a single image. CVPR 2015: 2918-2926 - [c219]Ishan Misra, Abhinav Shrivastava, Martial Hebert:
Watch and learn: Semi-supervised learning of object detectors from videos. CVPR 2015: 3593-3602 - [c218]Debadeepta Dey, Kumar Shaurya Shankar, Sam Zeng, Rupesh Mehta, M. Talha Agcayazi, Christopher Eriksen, Shreyansh Daftry, Martial Hebert, J. Andrew Bagnell:
Vision and Learning for Deliberative Monocular Cluttered Flight. FSR 2015: 391-409 - [c217]Matthew Trager, Martial Hebert, Jean Ponce:
The Joint Image Handbook. ICCV 2015: 909-917 - [c216]David F. Fouhey, Wajahat Hussain, Abhinav Gupta, Martial Hebert:
Single Image 3D without a Single 3D Image. ICCV 2015: 1053-1061 - [c215]Jacob Walker, Abhinav Gupta, Martial Hebert:
Dense Optical Flow Prediction from a Static Image. ICCV 2015: 2443-2451 - [c214]Debadeepta Dey, Varun Ramakrishna, Martial Hebert, J. Andrew Bagnell:
Predicting Multiple Structured Visual Interpretations. ICCV 2015: 2947-2955 - [c213]Christophe De Vleeschouwer, Antoine Legrand, Laurent Jacques, Martial Hebert:
Mitigating memory requirements for random trees/ferns. ICIP 2015: 227-231 - [c212]Nicholas Rhinehart, Jiaji Zhou, Martial Hebert, J. Andrew Bagnell:
Visual chunking: A list prediction framework for region-based object detection. ICRA 2015: 5448-5454 - [c211]Jean Oh, Luis E. Navarro-Serment, Arne Suppé, Anthony Stentz, Martial Hebert:
Inferring door locations from a teammate's trajectory in stealth human-robot team operations. IROS 2015: 5315-5320 - [c210]Katharina Mülling, Arun Venkatraman, Jean-Sebastien Valois, John Downey, Jeffrey M. Weiss, Shervin Javdani, Martial Hebert, Andrew B. Schwartz, Jennifer L. Collinger, J. Andrew Bagnell:
Autonomy Infused Teleoperation with Application to BCI Manipulation. Robotics: Science and Systems 2015 - [c209]Fanyi Xiao, Martial Hebert:
Efficient Model Evaluation with Bilinear Separation Model. WACV 2015: 789-796 - [i10]Katharina Mülling, Arun Venkatraman, Jean-Sebastien Valois, John Downey, Jeffrey M. Weiss, Shervin Javdani, Martial Hebert, Andrew B. Schwartz, Jennifer L. Collinger, J. Andrew Bagnell:
Autonomy Infused Teleoperation with Application to BCI Manipulation. CoRR abs/1503.05451 (2015) - [i9]Jacob Walker, Abhinav Gupta, Martial Hebert:
Dense Optical Flow Prediction from a Static Image. CoRR abs/1505.00295 (2015) - [i8]Ishan Misra, Abhinav Shrivastava, Martial Hebert:
Watch and Learn: Semi-Supervised Learning of Object Detectors from Videos. CoRR abs/1505.05769 (2015) - 2014
- [j53]Soonyong Park, Sung-Kee Park, Martial Hebert:
Fast and Scalable Approximate Spectral Matching for Higher Order Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 479-492 (2014) - [j52]Edward Hsiao, Martial Hebert:
Occlusion Reasoning for Object Detectionunder Arbitrary Viewpoint. IEEE Trans. Pattern Anal. Mach. Intell. 36(9): 1803-1815 (2014) - [c208]Maheen Rashid, Martial Hebert:
Detailed 3D Model Driven Single View Scene Understanding. 3DV 2014: 139-146 - [c207]Lu Hu, Jennifer H. Lingler, Julie Klinger, Laurel Person Mecca, Grace Campbell, Amanda Hunsaker, Sally Hostein, Bernardo R. Pires, Martial Hebert, Richard Schulz, Judith T. Matthews:
Usability of a Novel Wearable Camera System to Inform Tailored Intervention with Dementia Family Caregivers. AMIA 2014 - [c206]Jean Ponce, Martial Hebert:
Trinocular Geometry Revisited. CVPR 2014: 17-24 - [c205]Jacob Walker, Abhinav Gupta, Martial Hebert:
Patch to the Future: Unsupervised Visual Prediction. CVPR 2014: 3302-3309 - [c204]Peng Zhang, Jiuling Wang, Ali Farhadi, Martial Hebert, Devi Parikh:
Predicting Failures of Vision Systems. CVPR 2014: 3566-3573 - [c203]Varun Ramakrishna, Daniel Munoz, Martial Hebert, James Andrew Bagnell, Yaser Sheikh:
Pose Machines: Articulated Pose Estimation via Inference Machines. ECCV (2) 2014: 33-47 - [c202]Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Martial Hebert:
Self-explanatory Sparse Representation for Image Classification. ECCV (2) 2014: 600-616 - [c201]David Ford Fouhey, Abhinav Gupta, Martial Hebert:
Unfolding an Indoor Origami World. ECCV (6) 2014: 687-702 - [c200]Ekaterina H. Taralova, Fernando De la Torre, Martial Hebert:
Motion Words for Videos. ECCV (1) 2014: 725-740 - [c199]Jean Ponce, Martial Hebert:
On Image Contours of Projective Shapes. ECCV (4) 2014: 736-749 - [c198]Hugo Ponte, Max Queenan, Chaohui Gong, Christoph Mertz, Matthew J. Travers, Florian Enner, Martial Hebert, Howie Choset:
Visual sensing for developing autonomous behavior in snake robots. ICRA 2014: 2779-2784 - [c197]Aravindh Mahendran, Martial Hebert, Stephen F. Smith:
Exploiting domain constraints for exemplar based bus detection for traffic scheduling. ITSC 2014: 2936-2943 - [c196]Iljoo Baek, Taylor Stine, Denver Dash, Fanyi Xiao, Yaser Sheikh, Yair Movshovitz-Attias, Mei Chen, Martial Hebert, Takeo Kanade:
Physical querying with multi-modal sensing. WACV 2014: 183-190 - [c195]Ishan Misra, Abhinav Shrivastava, Martial Hebert:
Data-driven exemplar model selection. WACV 2014: 339-346 - [i7]Hanzhang Hu, Alexander Grubb, J. Andrew Bagnell, Martial Hebert:
Efficient Feature Group Sequencing for Anytime Linear Prediction. CoRR abs/1409.5495 (2014) - [i6]Nicholas Rhinehart, Jiaji Zhou, Martial Hebert, J. Andrew Bagnell:
Visual Chunking: A List Prediction Framework for Region-Based Object Detection. CoRR abs/1410.7376 (2014) - [i5]Debadeepta Dey, Kumar Shaurya Shankar, Sam Zeng, Rupesh Mehta, M. Talha Agcayazi, Christopher Eriksen, Shreyansh Daftry, Martial Hebert, J. Andrew Bagnell:
Vision and Learning for Deliberative Monocular Cluttered Flight. CoRR abs/1411.6326 (2014) - 2013
- [j51]U Kang, Martial Hebert, Soonyong Park:
Fast and scalable approximate spectral graph matching for correspondence problems. Inf. Sci. 220: 306-318 (2013) - [j50]Christoph Mertz, Luis E. Navarro-Serment, Robert A. MacLachlan, Paul E. Rybski, Aaron Steinfeld, Arne Suppé, Christopher Urmson, Nicolas Vandapel, Martial Hebert, Chuck Thorpe, David Duggins, Jay Gowdy:
Moving object detection with laser scanners. J. Field Robotics 30(1): 17-43 (2013) - [c194]Edward Hsiao, Martial Hebert:
Gradient Networks: Explicit Shape Matching Without Extracting Edges. AAAI 2013: 417-423 - [c193]Edward Hsiao, Martial Hebert:
Coherent Occlusion Reasoning for Instance Recognition. ACPR 2013: 1-5 - [c192]Jean Oh, Arne Suppé, Anthony Stentz, Martial Hebert:
Enhancing robot perception using human teammates. AAMAS 2013: 1147-1148 - [c191]Yong Jae Lee, Alexei A. Efros, Martial Hebert:
Style-Aware Mid-level Representation for Discovering Visual Connections in Space and Time. ICCV 2013: 1857-1864 - [c190]Scott Satkin, Martial Hebert:
3DNN: Viewpoint Invariant 3D Geometry Matching for Scene Understanding. ICCV 2013: 1873-1880 - [c189]David F. Fouhey, Abhinav Gupta, Martial Hebert:
Data-Driven 3D Primitives for Single Image Understanding. ICCV 2013: 3392-3399 - [c188]Ondrej Miksik, Daniel Munoz, J. Andrew Bagnell, Martial Hebert:
Efficient temporal consistency for streaming video scene analysis. ICRA 2013: 133-139 - [c187]Stéphane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert:
Learning monocular reactive UAV control in cluttered natural environments. ICRA 2013: 1765-1772 - [c186]Alvaro Collet, Bo Xiong, Corina Gurau, Martial Hebert, Siddhartha S. Srinivasa:
Exploiting domain knowledge for Object Discovery. ICRA 2013: 2118-2125 - [c185]Hanzhang Hu, Daniel Munoz, J. Andrew Bagnell, Martial Hebert:
Efficient 3-D scene analysis from streaming data. ICRA 2013: 2297-2304 - [c184]Pyry Matikainen, P. Michael Furlong, Rahul Sukthankar, Martial Hebert:
Multi-armed recommendation bandits for selecting state machine policies for robotic systems. ICRA 2013: 4545-4551 - [p2]Edward Hsiao, Martial Hebert:
Shape-Based Instance Detection Under Arbitrary Viewpoint. Shape Perception in Human and Computer Vision 2013: 485-495 - [i4]Alexander Grubb, Daniel Munoz, J. Andrew Bagnell, Martial Hebert:
SpeedMachines: Anytime Structured Prediction. CoRR abs/1312.0579 (2013) - 2012
- [j49]Marius Leordeanu, Rahul Sukthankar, Martial Hebert:
Unsupervised Learning for Graph Matching. Int. J. Comput. Vis. 96(1): 28-45 (2012) - [j48]Takeo Kanade, Martial Hebert:
First-Person Vision. Proc. IEEE 100(8): 2442-2453 (2012) - [c183]Unmesh Kurup, Christian Lebiere, Anthony Stentz, Martial Hebert:
Using Expectations to Drive Cognitive Behavior. AAAI 2012: 221-227 - [c182]Santosh Kumar Divvala, Alexei A. Efros, Martial Hebert:
Object Instance Sharing by Enhanced Bounding Box Correspondence. BMVC 2012: 1-11 - [c181]Scott Satkin, Jason Lin, Martial Hebert:
Data-Driven Scene Understanding from 3D Models. BMVC 2012: 1-11 - [c180]Pyry Matikainen, Rahul Sukthankar, Martial Hebert:
Model recommendation for action recognition. CVPR 2012: 2256-2263 - [c179]Edward Hsiao, Martial Hebert:
Occlusion reasoning for object detection under arbitrary viewpoint. CVPR 2012: 3146-3153 - [c178]Santosh Kumar Divvala, Alexei A. Efros, Martial Hebert:
How Important Are "Deformable Parts" in the Deformable Parts Model? ECCV Workshops (3) 2012: 31-40 - [c177]David F. Fouhey, Alvaro Collet, Martial Hebert, Siddhartha S. Srinivasa:
Object Recognition Robust to Imperfect Depth Data. ECCV Workshops (2) 2012: 83-92 - [c176]Yuichi Ito, Kris M. Kitani, James A. Bagnell, Martial Hebert:
Detecting Interesting Events Using Unsupervised Density Ratio Estimation. ECCV Workshops (3) 2012: 151-161 - [c175]Kris M. Kitani, Brian D. Ziebart, James Andrew Bagnell, Martial Hebert:
Activity Forecasting. ECCV (4) 2012: 201-214 - [c174]Pyry Matikainen, Rahul Sukthankar, Martial Hebert:
Classifier Ensemble Recommendation. ECCV Workshops (1) 2012: 209-218 - [c173]Daniel Munoz, James Andrew Bagnell, Martial Hebert:
Co-inference for Multi-modal Scene Analysis. ECCV (6) 2012: 668-681 - [c172]Hongwen Kang, Martial Hebert, Alexei A. Efros, Takeo Kanade:
Connecting Missing Links: Object Discovery from Sparse Observations Using 5 Million Product Images. ECCV (6) 2012: 794-807 - [c171]J. Andrew Bagnell, Felipe Cavalcanti, Lei Cui, Thomas Galluzzo, Martial Hebert, Moslem Kazemi, Matthew Klingensmith, Jacqueline Libby, Tian Yu Liu, Nancy S. Pollard, Mihail Pivtoraiko, Jean-Sebastien Valois, Ranqi Zhu:
An integrated system for autonomous robotics manipulation. IROS 2012: 2955-2962 - [c170]Jifu Zhou, Luis E. Navarro-Serment, Martial Hebert:
Detection of parking spots using 2D range data. ITSC 2012: 1280-1287 - [c169]Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell:
Contextual Sequence Prediction with Application to Control Library Optimization. Robotics: Science and Systems 2012 - [i3]Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell:
Predicting Contextual Sequences via Submodular Function Maximization. CoRR abs/1202.2112 (2012) - [i2]Santosh Kumar Divvala, Alexei A. Efros, Martial Hebert:
How important are Deformable Parts in the Deformable Parts Model? CoRR abs/1206.3714 (2012) - [i1]Stéphane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert:
Learning Monocular Reactive UAV Control in Cluttered Natural Environments. CoRR abs/1211.1690 (2012) - 2011
- [j47]Derek Hoiem, Alexei A. Efros, Martial Hebert:
Recovering Occlusion Boundaries from an Image. Int. J. Comput. Vis. 91(3): 328-346 (2011) - [c168]Abhinav Gupta, Scott Satkin, Alexei A. Efros, Martial Hebert:
From 3D scene geometry to human workspace. CVPR 2011: 1961-1968 - [c167]Stéphane Ross, Daniel Munoz, Martial Hebert, J. Andrew Bagnell:
Learning message-passing inference machines for structured prediction. CVPR 2011: 2737-2744 - [c166]Pyry Matikainen, Padmanabhan Pillai, Lily B. Mummert, Rahul Sukthankar, Martial Hebert:
Prop-free pointing detection in dynamic cluttered environments. FG 2011: 374-381 - [c165]Hongwen Kang, Martial Hebert, Takeo Kanade:
Discovering object instances from scenes of Daily Living. ICCV 2011: 762-769 - [c164]Pyry Matikainen, Rahul Sukthankar, Martial Hebert:
Feature seeding for action recognition. ICCV 2011: 1716-1723 - [c163]Ekaterina H. Taralova, Fernando De la Torre, Martial Hebert:
Source constrained clustering. ICCV 2011: 1927-1934 - [c162]Xuehan Xiong, Daniel Munoz, J. Andrew Bagnell, Martial Hebert:
3-D scene analysis via sequenced predictions over points and regions. ICRA 2011: 2609-2616 - [c161]Alvaro Collet, Siddhartha S. Srinivasa, Martial Hebert:
Structure discovery in multi-modal data: A region-based approach. ICRA 2011: 5695-5702 - [c160]Hongwen Kang, Martial Hebert, Takeo Kanade:
Image matching with distinctive visual vocabulary. WACV 2011: 402-409 - 2010
- [j46]Ranjith Unnikrishnan, Jean-François Lalonde, Nicolas Vandapel, Martial Hebert:
Scale Selection for Geometric Fitting in Noisy Point Clouds. Int. J. Comput. Geom. Appl. 20(5): 543-575 (2010) - [j45]Yan Ke, Rahul Sukthankar, Martial Hebert:
Volumetric Features for Video Event Detection. Int. J. Comput. Vis. 88(3): 339-362 (2010) - [j44]Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, Martial Hebert:
Space-carving Kernels for Accurate Rough Terrain Estimation. Int. J. Robotics Res. 29(8): 981-996 (2010) - [j43]Luis E. Navarro-Serment, Christoph Mertz, Martial Hebert:
Pedestrian Detection and Tracking Using Three-dimensional LADAR Data. Int. J. Robotics Res. 29(12): 1516-1528 (2010) - [c159]Martial Hebert:
Representations for object and action recognition. BMVC 2010 - [c158]Edward Hsiao, Alvaro Collet, Martial Hebert:
Making specific features less discriminative to improve point-based 3D object recognition. CVPR 2010: 2653-2660 - [c157]Daniel Munoz, J. Andrew Bagnell, Martial Hebert:
Stacked Hierarchical Labeling. ECCV (6) 2010: 57-70 - [c156]Abhinav Gupta, Alexei A. Efros, Martial Hebert:
Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics. ECCV (4) 2010: 482-496 - [c155]Pyry Matikainen, Martial Hebert, Rahul Sukthankar:
Representing Pairwise Spatial and Temporal Relations for Action Recognition. ECCV (1) 2010: 508-521 - [c154]Scott Satkin, Martial Hebert:
Modeling the Temporal Extent of Actions. ECCV (1) 2010: 536-548 - [c153]Alexander Sorokin, Dmitry Berenson, Siddhartha S. Srinivasa, Martial Hebert:
People helping robots helping people: Crowdsourcing for grasping novel objects. IROS 2010: 2117-2122 - [c152]David C. Lee, Abhinav Gupta, Martial Hebert, Takeo Kanade:
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces. NIPS 2010: 1288-1296
2000 – 2009
- 2009
- [j42]Andrew N. Stein, Martial Hebert:
Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning. Int. J. Comput. Vis. 82(3): 325-357 (2009) - [j41]Andrew N. Stein, Martial Hebert:
Local detection of occlusion boundaries in video. Image Vis. Comput. 27(5): 514-522 (2009) - [c151]Ekaterina H. Spriggs, Fernando De la Torre, Martial Hebert:
Temporal segmentation and activity classification from first-person sensing. CVPR Workshops 2009: 17-24 - [c150]Hongwen Kang, Alexei A. Efros, Martial Hebert, Takeo Kanade:
Image matching in large scale indoor environment. CVPR Workshops 2009: 33-40 - [c149]Tetsuaki Suzuki, Martial Hebert:
Estimating object region from local contour configuration. CVPR Workshops 2009: 69-76 - [c148]Marius Leordeanu, Martial Hebert:
Unsupervised learning for graph matching. CVPR 2009: 864-871 - [c147]Daniel Munoz, James A. Bagnell, Nicolas Vandapel, Martial Hebert:
Contextual classification with functional Max-Margin Markov Networks. CVPR 2009: 975-982 - [c146]Santosh Kumar Divvala, Derek Hoiem, James Hays, Alexei A. Efros, Martial Hebert:
An empirical study of context in object detection. CVPR 2009: 1271-1278 - [c145]David C. Lee, Martial Hebert, Takeo Kanade:
Geometric reasoning for single image structure recovery. CVPR 2009: 2136-2143 - [c144]Chris Urmson, Joshua Anhalt, Drew Bagnell, Christopher R. Baker, Robert Bittner, M. N. Clark, John M. Dolan, Dave Duggins, Tugrul Galatali, Christopher Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas M. Howard, Sascha Kolski, Alonzo Kelly, Maxim Likhachev, Matthew McNaughton, Nick Miller, Kevin M. Peterson, Brian Pilnick, Raj Rajkumar, Paul E. Rybski, Bryan Salesky, Young-Woo Seo, Sanjiv Singh, Jarrod M. Snider, Anthony Stentz, William Whittaker, Ziv Wolkowicki, Jason Ziglar, Hong Bae, Thomas Brown, Daniel Demitrish, Bakhtiar Litkouhi, Jim Nickolaou, Varsha Sadekar, Wende Zhang, Joshua Struble, Michael Taylor, Michael Darms, Dave Ferguson:
Autonomous Driving in Urban Environments: Boss and the Urban Challenge. The DARPA Urban Challenge 2009: 1-59 - [c143]Luis E. Navarro-Serment, Christoph Mertz, Martial Hebert:
Pedestrian Detection and Tracking Using Three-Dimensional LADAR Data. FSR 2009: 103-112 - [c142]Pyry Matikainen, Martial Hebert, Rahul Sukthankar:
Trajectons: Action recognition through the motion analysis of tracked features. ICCV Workshops 2009: 514-521 - [c141]Hongwen Kang, Alexei A. Efros, Martial Hebert, Takeo Kanade:
Image composition for object pop-out. ICCV Workshops 2009: 681-688 - [c140]Daniel Munoz, Nicolas Vandapel, Martial Hebert:
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields. ICRA 2009: 2009-2016 - [c139]Brian D. Ziebart, Nathan D. Ratliff, Garratt Gallagher, Christoph Mertz, Kevin M. Peterson, James A. Bagnell, Martial Hebert, Anind K. Dey, Siddhartha S. Srinivasa:
Planning-based prediction for pedestrians. IROS 2009: 3931-3936 - [c138]Marius Leordeanu, Martial Hebert, Rahul Sukthankar:
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference. NIPS 2009: 1114-1122 - [c137]Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, Martial Hebert:
Accurate rough terrain estimation with space-carving kernels. Robotics: Science and Systems 2009 - [c136]Nathan D. Ratliff, Brian D. Ziebart, Kevin M. Peterson, J. Andrew Bagnell, Martial Hebert, Anind K. Dey, Siddhartha S. Srinivasa:
Inverse Optimal Heuristic Control for Imitation Learning. AISTATS 2009: 424-431 - 2008
- [j40]Derek Hoiem, Alexei A. Efros, Martial Hebert:
Putting Objects in Perspective. Int. J. Comput. Vis. 80(1): 3-15 (2008) - [j39]Chris Urmson, Joshua Anhalt, Drew Bagnell, Christopher R. Baker, Robert Bittner, M. N. Clark, John M. Dolan, Dave Duggins, Tugrul Galatali, Christopher Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas M. Howard, Sascha Kolski, Alonzo Kelly, Maxim Likhachev, Matthew McNaughton, Nick Miller, Kevin M. Peterson, Brian Pilnick, Raj Rajkumar, Paul E. Rybski, Bryan Salesky, Young-Woo Seo, Sanjiv Singh, Jarrod M. Snider, Anthony Stentz, William Whittaker, Ziv Wolkowicki, Jason Ziglar, Hong Bae, Thomas Brown, Daniel Demitrish, Bakhtiar Litkouhi, Jim Nickolaou, Varsha Sadekar, Wende Zhang, Joshua Struble, Michael Taylor, Michael Darms, Dave Ferguson:
Autonomous driving in urban environments: Boss and the Urban Challenge. J. Field Robotics 25(8): 425-466 (2008) - [c135]Pyry Matikainen, Rahul Sukthankar, Martial Hebert, Yan Ke:
Fast Motion Consistency through Matrix Quantization. BMVC 2008: 1-10 - [c134]Santosh Kumar Divvala, Alexei A. Efros, Martial Hebert:
Can similar scenes help surface layout estimation? CVPR Workshops 2008: 1-8 - [c133]Derek Hoiem, Alexei A. Efros, Martial Hebert:
Closing the loop in scene interpretation. CVPR 2008 - [c132]Gunhee Kim, Christos Faloutsos, Martial Hebert:
Unsupervised modeling of object categories using link analysis techniques. CVPR 2008 - [c131]Marius Leordeanu, Martial Hebert:
Smoothing-based Optimization. CVPR 2008 - [c130]Andrew N. Stein, Thomas S. Stepleton, Martial Hebert:
Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection. CVPR 2008 - [c129]Ranjith Unnikrishnan, Martial Hebert:
Multi-scale interest regions from unorganized point clouds. CVPR Workshops 2008: 1-8 - [c128]Julien Mairal, Marius Leordeanu, Francis R. Bach, Martial Hebert, Jean Ponce:
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation. ECCV (3) 2008: 43-56 - [c127]Caroline Pantofaru, Cordelia Schmid, Martial Hebert:
Object Recognition by Integrating Multiple Image Segmentations. ECCV (3) 2008: 481-494 - [c126]Gunhee Kim, Christos Faloutsos, Martial Hebert:
Unsupervised modeling and recognition of object categories with combination of visual contents and geometric similarity links. Multimedia Information Retrieval 2008: 419-426 - [c125]Gunhee Kim, Daniel F. Huber, Martial Hebert:
Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data. WACV 2008: 1-8 - [p1]Wolfram Burgard, Martial Hebert:
World Modeling. Springer Handbook of Robotics 2008: 853-869 - 2007
- [j38]Hulya Yalcin, Robert T. Collins, Martial Hebert:
Background estimation under rapid gain change in thermal imagery. Comput. Vis. Image Underst. 106(2-3): 148-161 (2007) - [j37]Gregory D. Hager, Martial Hebert, Seth Hutchinson:
Editorial: Special Issue on Vision and Robotics, Parts I and II. Int. J. Comput. Vis. 74(3): 217-218 (2007) - [j36]Derek Hoiem, Alexei A. Efros, Martial Hebert:
Recovering Surface Layout from an Image. Int. J. Comput. Vis. 75(1): 151-172 (2007) - [j35]Gregory D. Hager, Martial Hebert, Seth Hutchinson:
Editorial: Special Issue on Vision and Robotics, Parts I and II. Int. J. Robotics Res. 26(7): 639-640 (2007) - [j34]Jean-François Lalonde, Nicolas Vandapel, Martial Hebert:
Data Structures for Efficient Dynamic Processing in 3-D. Int. J. Robotics Res. 26(8): 777-796 (2007) - [j33]Chieh-Chih Wang, Charles E. Thorpe, Sebastian Thrun, Martial Hebert, Hugh F. Durrant-Whyte:
Simultaneous Localization, Mapping and Moving Object Tracking. Int. J. Robotics Res. 26(9): 889-916 (2007) - [j32]Bart C. Nabbe, Martial Hebert:
Extending the Path-Planning Horizon. Int. J. Robotics Res. 26(10): 997-1024 (2007) - [j31]Ranjith Unnikrishnan, Caroline Pantofaru, Martial Hebert:
Toward Objective Evaluation of Image Segmentation Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 29(6): 929-944 (2007) - [c124]Caroline Pantofaru, Martial Hebert:
A Framework for Learning to Recognize and Segment Object Classes using Weakly Supervised Training Data. BMVC 2007: 1-10 - [c123]Andrew N. Stein, Martial Hebert:
Combining Local Appearance and Motion Cues for Occlusion Boundary Detection. BMVC 2007: 1-10 - [c122]Ranjith Unnikrishnan, Martial Hebert:
Denoising Manifold and Non-Manifold Point Clouds. BMVC 2007: 1-10 - [c121]Yan Ke, Rahul Sukthankar, Martial Hebert:
Spatio-temporal Shape and Flow Correlation for Action Recognition. CVPR 2007 - [c120]Marius Leordeanu, Martial Hebert, Rahul Sukthankar:
Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features. CVPR 2007 - [c119]Derek Hoiem, Andrew N. Stein, Alexei A. Efros, Martial Hebert:
Recovering Occlusion Boundaries from a Single Image. ICCV 2007: 1-8 - [c118]Yan Ke, Rahul Sukthankar, Martial Hebert:
Event Detection in Crowded Videos. ICCV 2007: 1-8 - [c117]Andrew N. Stein, Derek Hoiem, Martial Hebert:
Learning to Find Object Boundaries Using Motion Cues. ICCV 2007: 1-8 - [c116]Nicholas Heckman, Jean-François Lalonde, Nicolas Vandapel, Martial Hebert:
Potential negative obstacle detection by occlusion labeling. IROS 2007: 2168-2173 - 2006
- [j30]Sanjiv Kumar, Martial Hebert:
Discriminative Random Fields. Int. J. Comput. Vis. 68(2): 179-201 (2006) - [j29]Nicolas Vandapel, Raghavendra Donamukkala, Martial Hebert:
Unmanned Ground Vehicle Navigation Using Aerial Ladar Data. Int. J. Robotics Res. 25(1): 31-51 (2006) - [j28]Jean-François Lalonde, Nicolas Vandapel, Daniel F. Huber, Martial Hebert:
Natural terrain classification using three-dimensional ladar data for ground robot mobility. J. Field Robotics 23(10): 839-861 (2006) - [j27]Bogdan Matei, Ying Shan, Harpreet S. Sawhney, Yi Tan, Rakesh Kumar, Daniel F. Huber, Martial Hebert:
Rapid Object Indexing Using Locality Sensitive Hashing and Joint 3D-Signature Space Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 28(7): 1111-1126 (2006) - [c115]Ranjith Unnikrishnan, Jean-François Lalonde, Nicolas Vandapel, Martial Hebert:
Scale Selection for the Analysis of Point-Sampled Curves. 3DPVT 2006: 1026-1033 - [c114]Andrew N. Stein, Martial Hebert:
Local Detection of Occlusion Boundaries in Video. BMVC 2006: 407-416 - [c113]Ranjith Unnikrishnan, Martial Hebert:
Extracting Scale and Illuminant Invariant Regions through Color. BMVC 2006: 499-508 - [c112]Jean Ponce, Tamara L. Berg, Mark Everingham, David A. Forsyth, Martial Hebert, Svetlana Lazebnik, Marcin Marszalek, Cordelia Schmid, Bryan C. Russell, Antonio Torralba, Christopher K. I. Williams, Jianguo Zhang, Andrew Zisserman:
Dataset Issues in Object Recognition. Toward Category-Level Object Recognition 2006: 29-48 - [c111]Andrew N. Stein, Martial Hebert:
Using Spatio-Temporal Patches for Simultaneous Estimation of Edge Strength, Orientation, and Motion. CVPR Workshops 2006: 19 - [c110]Caroline Pantofaru, Gyuri Dorkó, Cordelia Schmid, Martial Hebert:
Combining Regions and Patches for Object Class Localization. CVPR Workshops 2006: 23 - [c109]Derek Hoiem, Alexei A. Efros, Martial Hebert:
Putting Objects in Perspective. CVPR (2) 2006: 2137-2144 - [c108]Marius Leordeanu, Martial Hebert:
Efficient MAP approximation for dense energy functions. ICML 2006: 545-552 - [c107]Bart C. Nabbe, Derek Hoiem, Alexei A. Efros, Martial Hebert:
Opportunistic Use of Vision to Push Back the Path-Planning Horizon. IROS 2006: 2388-2393 - [e3]Jean Ponce, Martial Hebert, Cordelia Schmid, Andrew Zisserman:
Toward Category-Level Object Recognition. Lecture Notes in Computer Science 4170, Springer 2006, ISBN 3-540-68794-7 [contents] - 2005
- [j26]Derek Hoiem, Alexei A. Efros, Martial Hebert:
Automatic photo pop-up. ACM Trans. Graph. 24(3): 577-584 (2005) - [c106]Raghavendra Donamukkala, Daniel F. Huber, Anuj Kapuria, Martial Hebert:
Automatic Class Selection and Prototyping for 3-D Object Classification. 3DIM 2005: 64-71 - [c105]Jean-François Lalonde, Ranjith Unnikrishnan, Nicolas Vandapel, Martial Hebert:
Scale Selection for Classification of Point-Sampled 3-D Surfaces. 3DIM 2005: 285-292 - [c104]Hulya Yalcin, Robert T. Collins, Martial Hebert:
Background Estimation under Rapid Gain Change in Thermal Imagery. CVPR Workshops 2005: 12 - [c103]Ranjith Unnikrishnan, Caroline Pantofaru, Martial Hebert:
A Measure for Objective Evaluation of Image Segmentation Algorithms. CVPR Workshops 2005: 34 - [c102]Hulya Yalcin, Martial Hebert, Robert T. Collins, Michael J. Black:
A Flow-Based Approach to Vehicle Detection and Background Mosaicking in Airborne Video. CVPR (2) 2005: 1202 - [c101]Sanjiv Kumar, Jonas August, Martial Hebert:
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study. EMMCVPR 2005: 153-168 - [c100]Yan Ke, Rahul Sukthankar, Martial Hebert:
Efficient Visual Event Detection Using Volumetric Features. ICCV 2005: 166-173 - [c99]Derek Hoiem, Alexei A. Efros, Martial Hebert:
Geometric Context from a Single Image. ICCV 2005: 654-661 - [c98]Sanjiv Kumar, Martial Hebert:
A Hierarchical Field Framework for Unified Context-Based Classification. ICCV 2005: 1284-1291 - [c97]Marius Leordeanu, Martial Hebert:
A Spectral Technique for Correspondence Problems Using Pairwise Constraints. ICCV 2005: 1482-1489 - [c96]John Tuley, Nicolas Vandapel, Martial Hebert:
Analysis and Removal of Artifacts in 3-D LADAR Data. ICRA 2005: 2203-2210 - [c95]Cristian Dima, Martial Hebert:
Active Learning For Outdoor Obstacle Detection. Robotics: Science and Systems 2005: 9-16 - [c94]Jean-François Lalonde, Nicolas Vandapel, Martial Hebert:
Data Structure for Efficient Processing in 3-D. Robotics: Science and Systems 2005: 365-372 - [c93]Chuck Rosenberg, Martial Hebert, Henry Schneiderman:
Semi-Supervised Self-Training of Object Detection Models. WACV/MOTION 2005: 29-36 - [c92]Andrew N. Stein, Martial Hebert:
Incorporating Background Invariance into Feature-Based Object Recognition. WACV/MOTION 2005: 37-44 - [c91]Ranjith Unnikrishnan, Martial Hebert:
Measures of Similarity. WACV/MOTION 2005: 394 - 2004
- [j25]Owen T. Carmichael, Martial Hebert:
Shape-Based Recognition of Wiry Objects. IEEE Trans. Pattern Anal. Mach. Intell. 26(12): 1537-1552 (2004) - [c90]Owen T. Carmichael, Martial Hebert:
A Hybrid Object-Level/Pixel-Level Framework For Shape-based Recognition. BMVC 2004: 1-10 - [c89]Daniel F. Huber, Anuj Kapuria, Raghavendra Donamukkala, Martial Hebert:
Parts-Based 3D Object Classification. CVPR (2) 2004: 82-89 - [c88]Ying Shan, Bogdan Matei, Harpreet S. Sawhney, Rakesh Kumar, Daniel F. Huber, Martial Hebert:
Linear Model Hashing and Batch RANSAC for Rapid and Accurate Object Recognition. CVPR (2) 2004: 121-128 - [c87]Cristian Dima, Martial Hebert, Anthony Stentz:
Enabling Learning from Large Datasets: Applying Active Learning to Mobile Robotics. ICRA 2004: 108-114 - [c86]Cristian Dima, Nicolas Vandapel, Martial Hebert:
Classifier Fusion for Outdoor Obstacle Detection. ICRA 2004: 665-671 - [c85]Nicolas Vandapel, Daniel F. Huber, Anuj Kapuria, Martial Hebert:
Natural Terrain Classification using 3-D Ladar Data. ICRA 2004: 5117-5122 - [c84]Nicolas Vandapel, Martial Hebert:
Finding organized structures in 3-D ladar data. IROS 2004: 786-791 - [c83]Bart C. Nabbe, Sanjiv Kumar, Martial Hebert:
Path planning with hallucinated worlds. IROS 2004: 3123-3130 - 2003
- [j24]Sanjiv Kumar, Alexander C. Loui, Martial Hebert:
An observation-constrained generative approach for probabilistic classification of image regions. Image Vis. Comput. 21(1): 87-97 (2003) - [j23]Daniel F. Huber, Martial Hebert:
Fully automatic registration of multiple 3D data sets. Image Vis. Comput. 21(7): 637-650 (2003) - [c82]Cristian Dima, Nicolas Vandapel, Martial Hebert:
Sensor and Classifier Fusion for Outdoor Obstacle Detection: an Application of Data Fusion To Autonomous Off-Road Navigation. AIPR 2003: 255-262 - [c81]Sanjiv Kumar, Martial Hebert:
Man-Made Structure Detection in Natural Images using a Causal Multiscale Random Field. CVPR (1) 2003: 119-126 - [c80]Shyjan Mahamud, Martial Hebert:
The Optimal Distance Measure for Object Detection. CVPR (1) 2003: 248-258 - [c79]Owen T. Carmichael, Martial Hebert:
Shape-based Recognition Of Wiry Objects. CVPR (2) 2003: 401-408 - [c78]Daniel F. Huber, Martial Hebert:
3D Modeling Using a Statistical Sensor Model and Stochastic Search. CVPR (1) 2003: 858-866 - [c77]Nicolas Vandapel, Raghavendra Donamukkala, Martial Hebert:
Experimental Results in Using Aerial LADAR Data for Mobile Robot Navigation. FSR 2003: 103-112 - [c76]Shyjan Mahamud, Martial Hebert:
Minimum Risk Distance Measure for Object Recognition. ICCV 2003: 242-248 - [c75]Sanjiv Kumar, Martial Hebert:
Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification. ICCV 2003: 1150-1159 - [c74]Nobuhiro Okada, Martial Hebert:
Fast 3D tracking of non-rigid objects. ICRA 2003: 3497-3503 - [c73]Nicolas Vandapel, Raghavendra Donamukkala, Martial Hebert:
Quality assessment of traversability maps from aerial LIDAR data for an unmanned ground vehicle. IROS 2003: 305-310 - [c72]Bart C. Nabbe, Martial Hebert:
Where and when to look: how to extend the myopic planning horizon. IROS 2003: 920-927 - [c71]Caroline Pantofaru, Ranjith Unnikrishnan, Martial Hebert:
Toward generating labeled maps from color and range data for robot navigation. IROS 2003: 1314-1321 - [c70]Ranjith Unnikrishnan, Martial Hebert:
Robust extraction of multiple structures from non-uniformly sampled data. IROS 2003: 1322-1329 - [c69]Sanjiv Kumar, Martial Hebert:
Discriminative Fields for Modeling Spatial Dependencies in Natural Images. NIPS 2003: 1531-1538 - 2002
- [j22]Barry Brumitt, Anthony Stentz, Martial Hebert:
Autonomous Driving with Concurrent Goals and Multiple Vehicles: Experiments and Mobility Components. Auton. Robots 12(2): 135-156 (2002) - [j21]Larry H. Matthies, Yalin Xiong, Robert W. Hogg, David Zhu, Arturo L. Rankin, Brett Kennedy, Martial Hebert, Robert A. MacLachlan, Chi Won, Tom Frost, Gaurav S. Sukhatme, Michael C. McHenry, Steve B. Goldberg:
A portable, autonomous, urban reconnaissance robot. Robotics Auton. Syst. 40(2-3): 163-172 (2002) - [c68]Owen T. Carmichael, Martial Hebert:
Object Recognition by a Cascade of Edge Probes. BMVC 2002: 1-10 - [c67]Charles R. Rosenberg, Martial Hebert:
Training Object Detection Models with Weakly Labeled Data. BMVC 2002: 1-10 - [c66]Svetlana Lazebnik, Amit Sethi, Cordelia Schmid, David J. Kriegman, Jean Ponce, Martial Hebert:
On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes. ECCV (3) 2002: 651-665 - [c65]Shyjan Mahamud, Martial Hebert, John D. Lafferty:
Combining Simple Discriminators for Object Discrimination. ECCV (3) 2002: 776-790 - [c64]Peng Chang, Martial Hebert:
Robust Tracking and Structure from Motion with Sample Based Uncertainty Representation. ICRA 2002: 3030-3037 - [c63]Bart C. Nabbe, Martial Hebert:
Toward Practical Cooperative Stereo for Robotic Colonies. ICRA 2002: 3328-3335 - [c62]Nicolas Vandapel, Martial Hebert:
3D Rover Localization in Airborne Ladar Data. ISER 2002: 156-167 - 2001
- [j20]Barry Brumitt, Anthony Stentz, Martial Hebert:
Autonomous Driving with Concurrent Goals and Multiple Vehicles: Mission Planning and Architecture. Auton. Robots 11(2): 103-115 (2001) - [c61]Shyjan Mahamud, Martial Hebert, Jianbo Shi:
Object Recognition using Boosted Discriminants. CVPR (1) 2001: 551- - [c60]Shyjan Mahamud, Martial Hebert, Yasuhiro Omori, Jean Ponce:
Provably-Convergent Iterative Methods for Projective Structure from Motion. CVPR (1) 2001: 1018-1025 - [c59]Charles R. Rosenberg, Martial Hebert, Sebastian Thrun:
Color Constancy Using KL-Divergence. ICCV 2001: 239-246 - 2000
- [j19]Peng Chang, Martial Hebert:
First results in omni-directional visual servoing. Adv. Robotics 14(3): 205-220 (2000) - [c58]Shyjan Mahamud, Martial Hebert:
Iterative Projective Reconstruction from Multiple Views. CVPR 2000: 2430-2437 - [c57]Martial Hebert:
Active and Passive Range Sensing for Robotics. ICRA 2000: 102-110 - [c56]Daniel F. Huber, Owen T. Carmichael, Martial Hebert:
3-D Map Reconstruction from Range Data. ICRA 2000: 891-897 - [c55]Matthew C. Deans, Martial Hebert:
Invariant Filtering for Simultaneous Localization and Mapping. ICRA 2000: 1042-1047 - [c54]Matthew C. Deans, Martial Hebert:
Experimental Comparison of Techniques for Localization and Mapping Using a Bearing-Only Sensor. ISER 2000: 395-404 - [c53]Scott M. Thayer, M. Bernardine Dias, Bart C. Nabbe, Bruce L. Digney, Martial Hebert, Anthony Stentz:
Distributed robotic mapping of extreme environments. Mobile Robots / Telemanipulator and Telepresence Technologies 2000: 84-95
1990 – 1999
- 1999
- [j18]Eric Krotkov, Martial Hebert, Lars Henriksen, Paul Levin, Mark W. Maimone, Reid G. Simmons, James P. Teza:
Evolution of a Prototype Lunar Rover: Addition of Laser-Based Hazard Detection, and Results from Field Trials in Lunar Analog Terrain. Auton. Robots 7(2): 119-130 (1999) - [j17]Andrew E. Johnson, Martial Hebert:
Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 21(5): 433-449 (1999) - [c52]Dongmei Zhang, Martial Hebert:
Experimental Analysis of Harmonic Shape Images. 3DIM 1999: 209-219 - [c51]Owen T. Carmichael, Daniel F. Huber, Martial Hebert:
Large Data Sets and Confusing Scenes in 3-D Surface Matching and Recognition. 3DIM 1999: 358-367 - [c50]Dongmei Zhang, Martial Hebert:
Harmonic Maps and Their Applications in Surface Matching. CVPR 1999: 2524-2530 - [c49]Dongmei Zhang, Martial Hebert:
Harmonic Shape Images: A Representation for 3D Free-Form Surfaces Based on Energy Minimization. EMMCVPR 1999: 30-43 - [c48]Theodore Blackmon, Laurent Ngyuen, Charles F. Neveu, Daryl Rasmussen, Eric Zbinden, Mark W. Maimone, Larry H. Matthies, Scott M. Thayer, James P. Teza, Vince Broz, James Osborn, Martial Hebert, Jerry Steele, Geb W. Thomas:
Virtual reality mapping system for Chernobyl accident site assessment. Human Vision and Electronic Imaging 1999: 338-347 - [c47]Shyjan Mahamud, Martial Hebert:
Efficient Recovery of Low-Dimensional Structure from High-Dimensional Data. ICCV 1999: 592-599 - [c46]Owen T. Carmichael, Martial Hebert:
3-D Cueing: A Data Filter for Object Recognition. ICRA 1999: 944-950 - [c45]Daniel F. Huber, Martial Hebert:
A new approach to 3-D terrain mapping. IROS 1999: 1121-1127 - [c44]Martial Hebert, Rob MacLachlan, Peng Chang:
Experiments with driving modes for urban robots. Mobile Robots 1999: 140-149 - 1998
- [j16]Andrew E. Johnson, Martial Hebert:
Control of Polygonal Mesh Resolution for 3-D Computer Vision. Graph. Model. Image Process. 60(4): 261-285 (1998) - [j15]Andrew E. Johnson, Martial Hebert:
Surface matching for object recognition in complex three-dimensional scenes. Image Vis. Comput. 16(9-10): 635-651 (1998) - [j14]Kazunori Higuchi, Martial Hebert, Katsushi Ikeuchi:
Building 3D models from unregistered multiple range images. Syst. Comput. Jpn. 29(6): 82-90 (1998) - [c43]Andrew E. Johnson, Martial Hebert:
Efficient Multiple Model Recognition in Cluttered 3-D Scenes. CVPR 1998: 671-677 - [c42]John A. Hancock, Dirk Langer, Martial Hebert, Ryan Sullivan, Darin Ingimarson, Eric Hoffmann, Markus Mettenleiter, Christoph Fröhlich:
Active Laser Radar for High Performance Measurements. ICRA 1998: 1465-1470 - [c41]Barry Brumitt, Martial Hebert:
Experiments in Autonomous Driving with Concurrent Goals and Multiple Vehicles. ICRA 1998: 1895-1902 - [c40]Owen T. Carmichael, Martial Hebert:
Unconstrained registration of large 3D point sets for complex model building. IROS 1998: 360-367 - [c39]John A. Hancock, Martial Hebert, Chuck Thorpe:
Laser intensity-based obstacle detection. IROS 1998: 1541-1546 - [c38]Peng Chang, Martial Hebert:
Omni-directional visual servoing for human-robot interaction. IROS 1998: 1801-1807 - 1997
- [j13]Heung-Yeung Shum, Martial Hebert, Katsushi Ikeuchi, Raj Reddy:
An Integral Approach to Free-Form Object Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 19(12): 1366-1370 (1997) - [c37]Andrew E. Johnson, Martial Hebert:
Surface Registration by Matching Oriented Points. 3DIM 1997: 121-129 - [c36]Andrew E. Johnson, Regis Hoffman, Jim Osborn, Martial Hebert:
A System for Semi-Automatic Modeling of Complex Environments. 3DIM 1997: 213-220 - [c35]Andrew E. Johnson, Martial Hebert:
Recognizing Objects by Matching Oriented Points. CVPR 1997: 684-689 - [c34]Dongmei Zhang, Martial Hebert:
Multi-Scale Classification of 3-D Objects. CVPR 1997: 864-869 - 1996
- [j12]Andrew E. Johnson, Martial Hebert:
Seafloor map generation for autonomous underwater vehicle navigation. Auton. Robots 3(2-3): 145-168 (1996) - [c33]Heung-Yeung Shum, Martial Hebert, Katsushi Ikeuchi:
On 3D Shape Similarity. CVPR 1996: 526-531 - [c32]Martial Hebert, Robert C. Bolles, Larry H. Matthies, Benny M. Gothard, Mark Rosenblum:
Mobility Components for Unmanned Ground Vehicles. Intelligent Robots 1996: 55-76 - [c31]Jean Ponce, Martial Hebert, Andrew Zisserman:
Report on the 1996 International Workshop on Object Representation in Computer Vision. Object Representation in Computer Vision 1996: 1-8 - [c30]Heung-Yeung Shum, Martial Hebert, Katsushi Ikeuchi:
On 3D Shape Synthesis. Object Representation in Computer Vision 1996: 131-148 - [e2]Jean Ponce, Andrew Zisserman, Martial Hebert:
Object Representation in Computer Vision II, ECCV '96 International Workshop, Cambridge. UK, April 13-14, 1996, Proceedings. Lecture Notes in Computer Science 1144, Springer 1996, ISBN 3-540-61750-7 [contents] - 1995
- [j11]Anthony Stentz, Martial Hebert:
A complete navigation system for goal acquisition in unknown environments. Auton. Robots 2(2): 127-145 (1995) - [j10]Eric Krotkov, Martial Hebert, Reid G. Simmons:
Stereo perception and dead reckoning for a prototype lunar rover. Auton. Robots 2(4): 313-331 (1995) - [j9]Ken Higuchi, Martial Hebert, Katsushi Ikeuchi:
Building 3-D Models from Unregistered Range Images. CVGIP Graph. Model. Image Process. 57(4): 315-333 (1995) - [j8]Martial Hebert, Katsushi Ikeuchi, Herve Delingette:
A Spherical Representation for Recognition of Free-Form Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 17(7): 681-690 (1995) - [c29]Luc Robert, Michel Buffa, Martial Hebert:
Weakly-Calibrated Stereo Perception for Rover Navigation. ICCV 1995: 46-51 - [c28]Heung-Yeung Shum, Martial Hebert, Katsushi Ikeuchi, Raj Reddy:
An Integral Approach to Free-Formed Object Modeling. ICCV 1995: 870-875 - [c27]Eric Krotkov, Martial Hebert:
Mapping and Positioning for a Prototype Lunar Rover. ICRA 1995: 2913-2919 - [c26]Andrew E. Johnson, Patrick Leger, Regis Hoffman, Martial Hebert, James Osborn:
3-D object modeling and recognition for telerobotic manipulation. IROS (1) 1995: 103-110 - [c25]Anthony Stentz, Martial Hebert:
A complete navigation system for goal acquisition in unknown environments. IROS (1) 1995: 425-432 - [c24]Reid G. Simmons, Eric Krotkov, Lonnie Chrisman, Fábio Gagliardi Cozman, Richard Goodwin, Martial Hebert, Lalitesh Katragadda, Sven Koenig, Gita Krishnaswamy, Yoshikazu Shinoda, William Whittaker, Paul R. Klarer:
Experience with rover navigation for lunar-like terrains. IROS (1) 1995: 441-446 - [e1]Martial Hebert, Jean Ponce, Terrance E. Boult, Ari D. Gross:
Object Representation in Computer Vision, International NSF-ARPA Workshop, New York City, NY, USA, December 5-7, 1994, Proceedings. Lecture Notes in Computer Science 994, Springer 1995, ISBN 3-540-60477-4 [contents] - 1994
- [j7]Dirk Langer, Julio Rosenblatt, Martial Hebert:
A behavior-based system for off-road navigation. IEEE Trans. Robotics Autom. 10(6): 776-783 (1994) - [c23]Jean Ponce, Ruzena Bajcsy, Dimitris N. Metaxas, Thomas O. Binford, David A. Forsyth, Martial Hebert, Katsushi Ikeuchi, Avinash C. Kak, Linda G. Shapiro, Stan Sclaroff, Alex Pentland, George C. Stockman:
Object representation for object recognition. CVPR 1994: 147-152 - [c22]Luc Robert, Martial Hebert:
Deriving Orientation Cues from Stereo Images. ECCV (1) 1994: 377-388 - [c21]Dirk Langer, Julio Rosenblatt, Martial Hebert:
An Integrated System for Autonomous Off-Road Navigation. ICRA 1994: 414-419 - [c20]David A. Simon, Martial Hebert, Takeo Kanade:
Real-Thme 3-D Pose Estimation Using a High-Speed Range Sensor. ICRA 1994: 2235-2241 - [c19]Ken Higuchi, Martial Hebert, Katsushi Ikeuchi:
Building 3-D Models from Unregistered Range Images. ICRA 1994: 2248-2253 - [c18]Martial Hebert:
Pixel-Based Range Processing for Autonomous Driving. ICRA 1994: 3362-3367 - [c17]Martial Hebert, Jean Ponce, Terrance E. Boult, Ari D. Gross:
Report on the 1995 Workshop on 3-D Object Representations in Computer Vision. Object Representation in Computer Vision 1994: 1-18 - [c16]Katsushi Ikeuchi, Martial Hebert:
Spherical Representations: for EGI to SAI. Object Representation in Computer Vision 1994: 327-345 - 1993
- [c15]Herve Delingette, Martial Hebert, Katsushi Ikeuchi:
A spherical representation for the recognition of curved objects. ICCV 1993: 103-112 - 1992
- [j6]Herve Delingette, Martial Hebert, Katsushi Ikeuchi:
Shape representation and image segmentation using deformable surfaces. Image Vis. Comput. 10(3): 132-144 (1992) - [j5]Martial Hebert, Eric Krotkov:
3D measurements from imaging laser radars: how good are they? Image Vis. Comput. 10(3): 170-178 (1992) - [c14]Martial Hebert:
3-D landmark recognition from range images. CVPR 1992: 360-365 - [c13]Katsushi Ikeuchi, Martial Hebert:
Task Oriented Vision. IROS 1992: 2187-2194 - 1991
- [j4]Charles E. Thorpe, Martial Hebert, Takeo Kanade, Steven A. Shafer:
Toward autonomous driving: the CMU Navlab. Part I - Perception. IEEE Expert 6(4): 31-42 (1991) - [j3]Charles E. Thorpe, Martial Hebert, Takeo Kanade, Steven A. Shafer:
Toward autonomous driving: the CMU Navlab. Part II - Architecture and Systems. IEEE Expert 6(4): 44-52 (1991) - [c12]Hervé Delingette, Martial Hebert, Katsushi Ikeuchi:
Shape representation and image segmentation using deformable surfaces. CVPR 1991: 467-472 - [c11]C. Francois, Katsushi Ikeuchi, Martial Hebert:
A three-finger gripper for manipulation in unstructured environments. ICRA 1991: 2261-2266 - [c10]Dirk Langer, Martial Hebert:
Building qualitative elevation maps from side scan sonar data for autonomous underwater navigation. ICRA 1991: 2478-2483 - [c9]Hervé Delingette, Martial Hebert, Katsushi Ikeuchi:
Trajectory generation with curvature constraint based on energy minimization. IROS 1991: 206-211 - [c8]Martial Hebert, Eric Krotkov:
3-D measurements from imaging laser radars: how good are they? IROS 1991: 359-364
1980 – 1989
- 1989
- [j2]John Bares, Martial Hebert, Takeo Kanade, Eric Krotkov, Tom M. Mitchell, Reid G. Simmons, William Whittaker:
Ambler: An Autonomous Rover for Planetary Exploration. Computer 22(6): 18-26 (1989) - [c7]Martial Hebert, Claude Caillas, Eric Krotkov, In-So Kweon, Takeo Kanade:
Terrain mapping for a roving planetary explorer. ICRA 1989: 997-1002 - [c6]Martial Hebert:
Building and navigating maps of road scenes using an active sensor. ICRA 1989: 1136-1142 - [c5]Claude Caillas, Martial Hebert, Eric Krotkov, In-So Kweon, Takeo Kanade:
Methods for Identifying Footfall Positions for a Legged Robot. IROS 1989: 244-250 - 1987
- [c4]William L. Whittaker, George Turkiyyah, Martial Hebert:
An architecture and two cases in range-based modeling and planning. ICRA 1987: 1991-1997 - 1986
- [c3]Takeo Kanade, Charles E. Thorpe, Steven A. Shafer, Martial Hebert:
Carnegie Mellon Navlab Vision System. IAS 1986: 681-693 - [c2]Martial Hebert:
Outdoor scene analysis using range data. ICRA 1986: 1426-1432 - 1984
- [j1]Olivier D. Faugeras, Martial Hebert, Philippe Mussi, Jean-Daniel Boissonnat:
Polyhedral approximation of 3-D objects without holes. Comput. Vis. Graph. Image Process. 25(2): 169-183 (1984) - 1983
- [c1]Olivier D. Faugeras, Martial Hebert:
A 3-D Recognition and Positioning Algorithm Using Geometrical Matching Between Primitive Surfaces. IJCAI 1983: 996-1002
Coauthor Index
[c266] [j58] [c252] [c244] [i29] [i26] [i25] [i24] [i23] [c242] [c237] [c233] [c232] [c231] [c229] [c226] [i18] [i15] [i14] [i13] [c222] [c218] [c214] [c212] [c210] [i10] [c203] [i7] [i6] [i5] [c188] [c187] [c185] [i4] [c176] [c175] [c173] [c171] [c169] [i3] [i1] [c167] [c162] [j44] [c157] [c147] [c144] [c139] [c137] [c136] [j39]
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