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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- [i72]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) - [i71]Anurag Bagchi, Zhipeng Bao, Yu-Xiong Wang, Pavel Tokmakov, Martial Hebert:
ReferEverything: Towards Segmenting Everything We Can Speak of in Videos. CoRR abs/2410.23287 (2024) - [i70]Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao, Martial Hebert, Yu-Xiong Wang:
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models. CoRR abs/2411.05005 (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]