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Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method

Oct 15, 2020
Zuxin Liu, Hongyi Zhou, Baiming Chen, Sicheng Zhong, Martial Hebert, Ding Zhao

* 9 pages, 6 figures 

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Few-Shot Learning with Intra-Class Knowledge Transfer

Aug 22, 2020
Vivek Roy, Yan Xu, Yu-Xiong Wang, Kris Kitani, Ruslan Salakhutdinov, Martial Hebert


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Alpha Net: Adaptation with Composition in Classifier Space

Aug 17, 2020
Nadine Chang, Jayanth Koushik, Michael J. Tarr, Martial Hebert, Yu-Xiong Wang

* Under review 

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Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis

Aug 16, 2020
Zhipeng Bao, Yu-Xiong Wang, Martial Hebert


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PanoNet: Real-time Panoptic Segmentation through Position-Sensitive Feature Embedding

Aug 01, 2020
Xia Chen, Jianren Wang, Martial Hebert


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MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments

Jul 30, 2020
Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao

* 6 pages, accepted at the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020) 

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Learning Orientation Distributions for Object Pose Estimation

Jul 02, 2020
Brian Okorn, Mengyun Xu, Martial Hebert, David Held


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Unsupervised Learning of Video Representations via Dense Trajectory Clustering

Jun 28, 2020
Pavel Tokmakov, Martial Hebert, Cordelia Schmid


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Learning Generalizable Representations via Diverse Supervision

Nov 29, 2019
Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert


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Explainable Semantic Mapping for First Responders

Oct 15, 2019
Jean Oh, Martial Hebert, Hae-Gon Jeon, Xavier Perez, Chia Dai, Yeeho Song

* Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop at NeurIPS 2019 

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Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions

Jul 27, 2019
Kashyap Chitta, Jose M. Alvarez, Martial Hebert


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Growing a Brain: Fine-Tuning by Increasing Model Capacity

Jul 18, 2019
Yu-Xiong Wang, Deva Ramanan, Martial Hebert

* CVPR 

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Edge-Direct Visual Odometry

Jun 11, 2019
Kevin Christensen, Martial Hebert


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Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency

Jun 06, 2019
Tejas Khot, Shubham Agrawal, Shubham Tulsiani, Christoph Mertz, Simon Lucey, Martial Hebert


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Image Deformation Meta-Networks for One-Shot Learning

May 28, 2019
Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert

* Oral at CVPR2019 

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A Study on Action Detection in the Wild

Apr 29, 2019
Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid


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Direct Fitting of Gaussian Mixture Models

Apr 11, 2019
Leonid Keselman, Martial Hebert

* Accepted to CRV 2019. 8 pages 

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Learning Compositional Representations for Few-Shot Recognition

Dec 21, 2018
Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert


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A Structured Model For Action Detection

Dec 09, 2018
Yubo Zhang, Pavel Tokmakov, Cordelia Schmid, Martial Hebert


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Iterative Transformer Network for 3D Point Cloud

Nov 27, 2018
Wentao Yuan, David Held, Christoph Mertz, Martial Hebert


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Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels

Nov 08, 2018
Kashyap Chitta, Jianwei Feng, Martial Hebert


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PCN: Point Completion Network

Aug 05, 2018
Wentao Yuan, Tejas Khot, David Held, Christoph Mertz, Martial Hebert

* Accepted to 3DV 2018 as an oral presentation. Code and data are available at https://www.cs.cmu.edu/~wyuan1/pcn/ 

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Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing

May 25, 2018
Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell


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Low-Shot Learning from Imaginary Data

Apr 03, 2018
Yu-Xiong Wang, Ross Girshick, Martial Hebert, Bharath Hariharan

* CVPR 2018 camera-ready version 

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Learning by Asking Questions

Dec 04, 2017
Ishan Misra, Ross Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten


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Log-DenseNet: How to Sparsify a DenseNet

Oct 30, 2017
Hanzhang Hu, Debadeepta Dey, Allison Del Giorno, Martial Hebert, J. Andrew Bagnell


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Predictive-State Decoders: Encoding the Future into Recurrent Networks

Sep 25, 2017
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell

* NIPS 2017 

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Ignoring Distractors in the Absence of Labels: Optimal Linear Projection to Remove False Positives During Anomaly Detection

Sep 13, 2017
Allison Del Giorno, J. Andrew Bagnell, Martial Hebert

* 13 pages, 6 figures 

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Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection

Aug 04, 2017
Debidatta Dwibedi, Ishan Misra, Martial Hebert

* To appear in ICCV 2017 

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