A curated list of embodied vision resources.
Inspired by the awesome list thing and awesome-vln.
By Changan Chen ([email protected]), Department of Computer Science at the University of Texas at Austin, with help from Tushar Nagarajan, Santhosh Kumar Ramakrishnan and Yinfeng Yu. If you see papers missing from the list, please send me an email or a pull request (format see below).
When sending PRs, please put the new paper at the correct chronological position as the following format:
* **Paper Title** <br>
*Author(s)* <br>
Conference, Year. [[Paper]](link) [[Code]](link) [[Website]](link)
-
Cognitive Mapping and Planning for Visual Navigation
Saurabh Gupta, Varun Tolani, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik
CVPR, 2017. [Paper] -
Habitat: A Platform for Embodied AI Research
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra
ICCV, 2019. [Paper] [Code] [Website] -
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation
Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra
ICCV, 2019. [Paper] [Code] -
A Behavioral Approach to Visual Navigation with Graph Localization Networks
Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda, Fei Xia, Alvaro Soto, Marynel Vazquez, Silvio Savarese
RSS, 2019. [Paper] [Code] [Website] -
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra
ICLR, 2020. [Paper] [Code] [Website] -
Learning to Explore using Active Neural SLAM
Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov
ICLR, 2020. [Paper] [Code] [Website] -
Auxiliary Tasks Speed Up Learning PointGoal Navigation
Joel Ye, Dhruv Batra, Erik Wijmans, Abhishek Das
CoRL, 2020. [Paper] [Code] -
Occupancy Anticipation for Efficient Exploration and Navigation
Santhosh K. Ramakrishnan, Ziad Al-Halah, Kristen Grauman
ECCV, 2020. [Paper] [Code] [Website] -
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments
Steven D. Morad, Roberto Mecca, Rudra P.K. Poudel, Stephan Liwicki, Roberto Cipolla
ICRA, 2021. [Paper] -
Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation
Peter Karkus, Shaojun Cai, David Hsu
CVPR, 2021. [Paper] -
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation
Peter Karkus, Shaojun Cai, David Hsu
ICCV, 2021. [Paper] [Code] [Website] -
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, Aniruddha Kembhavi
ICCV, 2021. [Paper] [Code] [Website] -
Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal Navigation
Yimeng Li, Arnab Debnath, Gregory J. Stein, Jana Kosecka
CoRL, 2022. [Paper] [Code] [Website]
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Audio-Visual Embodied Navigation
Changan Chen*, Unnat Jain*, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip Robinson, Kristen Grauman
ECCV, 2020. [Paper] [Website] -
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation
Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum
ICRA, 2020. [Paper] [Website] -
Learning to Set Waypoints for Audio-Visual Navigation
Changan Chen, Sagnik Majumder, Ziad Al-Halah, Ruohan Gao, Santhosh K. Ramakrishnan, Kristen Grauman
ICLR, 2021. [Paper] [Website] -
Semantic Audio-Visual Navigation
Changan Chen, Ziad Al-Halah, Kristen Grauman
CVPR, 2021. [Paper] [Code] [Website] -
Move2Hear: Active Audio-Visual Source Separation
Sagnik Majumder, Ziad Al-Halah, and Kristen Grauman
ICCV, 2021. [Paper] [Website] -
Active Audio-Visual Separation of Dynamic Sound Sources
Sagnik Majumder, Ziad Al-Halah, and Kristen Grauman
ECCV, 2022. [Paper] [Website] -
Sound Adversarial Audio-Visual Navigation
Yinfeng Yu, Wenbing Huang, Fuchun Sun, Changan Chen, Yikai Wang, Xiaohong Liu
ICLR, 2022. [Paper] [Code] [Website] -
SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning
Changan Chen*, Carl Schissler*, Sanchit Garg*, Philip Kobernik, Alexander Clegg, Paul Calamia, Dhruv Batra, Philip W Robinson, Kristen Grauman
arXiv, 2022. [Paper] [Code] [Website] -
Pay Self-Attention to Audio-Visual Navigation
Yinfeng Yu, Lele Cao, Fuchun Sun, Xiaohong Liu, Liejun Wang
BMVC 2022. [Paper] [Website] -
Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation
-
Hongcheng Wang*, Yuxuan Wang*, Fangwei Zhong, Mingdong Wu, Jianwei Zhang, Yizhou Wang, Hao Dong*
IEEE RA-L, 2023. [Paper]
-
Cognitive Mapping and Planning for Visual Navigation
Saurabh Gupta, Varun Tolani, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik
CVPR, 2017. [Paper] -
Visual Semantic Navigation using Scene Priors
Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi
ICLR, 2019. [Paper] -
Visual Representations for Semantic Target Driven Navigation
Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecka, Ayzaan Wahid, James Davidson
ICRA, 2019. [Paper] [Code] -
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi
CVPR, 2019. [Paper] [Code] [Website] -
Bayesian Relational Memory for Semantic Visual Navigation
Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian
ICCV, 2019. [Paper] [Code] -
Situational Fusion of Visual Representation for Visual Navigation
William B. Shen, Danfei Xu, Yuke Zhu, Leonidas J. Guibas, Li Fei-Fei, Silvio Savarese
ICCV, 2019. [Paper] -
Simultaneous Mapping and Target Driven Navigation
Georgios Georgakis, Yimeng Li, Jana Kosecka
arXiv, 2019. [Paper] -
Object Goal Navigation using Goal-Oriented Semantic Exploration
Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta*, Ruslan Salakhutdinov*
NeurIPS, 2020. [Paper] [Website] -
Learning Object Relation Graph and Tentative Policy for Visual Navigation
Heming Du, Xin Yu, Liang Zheng
ECCV, 2020. [Paper] -
Semantic Visual Navigation by Watching YouTube Videos
Matthew Chang, Arjun Gupta, Saurabh Gupta
arXiv, 2020. [Paper] [Website] -
ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
Dhruv Batra, Aaron Gokaslan, Aniruddha Kembhavi, Oleksandr Maksymets, Roozbeh Mottaghi, Manolis Savva, Alexander Toshev, Erik Wijmans
arXiv, 2020. [Paper] -
MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation
Saim Wani*, Shivansh Patel*, Unnat Jain*, Angel X. Chang, Manolis Savva
NeurIPS, 2020. [Paper] [Code] [Website] -
Learning hierarchical relationships for object-goal navigation
Yiding Qiu, Anwesan Pal, Henrik I. Christensen
CoRL, 2020. [Paper] -
VTNet: Visual Transformer Network for Object Goal Navigation
Heming Du, Xin Yu, Liang Zheng
ICLR, 2021. [Paper] -
Visual Navigation With Spatial Attention
Yiding Qiu, Anwesan Pal, Henrik I. Christensen
CVPR, 2021. [Paper] -
Auxiliary Tasks and Exploration Enable ObjectGoal Navigation
Peter Karkus, Shaojun Cai, David Hsu
ICCV, 2021. [Paper] [Code] [Website] -
Hierarchical Object-to-Zone Graph for Object Navigation
Sixian Zhang, Xinhang Song, Yubing Bai, Weijie Li, Yakui Chu, Shuqiang Jiang
ICCV, 2021. [Paper] [Code] [Video] -
THDA: Treasure Hunt Data Augmentation for Semantic Navigation
Oleksandr Maksymets, Vincent Cartillier, Aaron Gokaslan, Erik Wijmans, Wojciech Galuba, Stefan Lee, Dhruv Batra
ICCV, 2021. [Paper] -
🏘️ ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Jordi Salvador, Kiana Ehsani, Winson Han, Eric Kolve, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
arXiv, 2022. [Paper] [Website] -
Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation
Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan
arXiv, 2022. [Paper] [Code]
-
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi
ICRA, 2017. [Paper] [Website] -
Semi-Parametric Topological Memory for Navigation
Nikolay Savinov*, Alexey Dosovitskiy*, Vladlen Koltun
ICLR, 2018. [Paper] [Code] [Website] -
Neural Topological SLAM for Visual Navigation
Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta
CVPR, 2020. [Paper] [Website] -
Learning View and Target Invariant Visual Servoing for Navigation
Yimeng Li, Jana Kosecka
ICRA, 2020. [Paper] [Code] [Website] -
Visual Graph Memory with Unsupervised Representation for Visual Navigation
Obin Kwon, Nuri Kim, Yunho Choi, Hwiyeon Yoo, Jeongho Park, Songhwai Oh
ICCV, 2021. [Paper] [Code] [Website] -
No RL, No Simulation: Learning to Navigate without Navigating
Meera Hahn, Devendra Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta
NeurIPS, 2021. [Paper] -
Topological Semantic Graph Memory for Image-Goal Navigation
Nuri Kim, Obin Kwon, Hwiyeon Yoo, Yunho Choi, Jeongho Park, Songhwai Oh
CoRL, 2022. [Paper] [Code] [Website] -
Last-Mile Embodied Visual Navigation
Justin Wasserman, Karmesh Yadav, Girish Chowdhary, Abhinav Gupta, Unnat Jain
CoRL, 2022. [Paper] [Code] [Website]
-
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments
Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian Reid, Stephen Gould, Anton van den Hengel
CVPR, 2018. [Paper] [Code] [Website] -
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation
Xin Wang, Wenhan Xiong, Hongmin Wang, William Yang Wang
ECCV, 2018. [Paper] -
Mapping Instructions to Actions in 3D Environmentswith Visual Goal Prediction
Dipendra Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi
EMNLP, 2018. [Paper] -
Speaker-Follower Models for Vision-and-Language Navigation
Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell
NeurIPS, 2018. [Paper] [Code] [Website] -
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang
CVPR, 2019. [Paper] -
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong
ICLR, 2019. [Paper] [Code] [Website] -
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation
Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira
CVPR, 2019. [Paper] [Code] [Website] -
TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, Yoav Artzi
CVPR, 2019. [Paper] [Code] -
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation
Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha Srinivasa
CVPR, 2019. [Paper] [Code] [Video] -
Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention
Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan
CVPR, 2019. [Paper] [Code] [Video] -
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning
Khanh Nguyen, Hal Daumé III
EMNLP, 2019. [Paper] [Code] [Video] -
Chasing Ghosts: Instruction Following as Bayesian State Tracking
Peter Anderson, Ayush Shrivastava, Devi Parikh, Dhruv Batra, Stefan Lee
NeurIPS, 2019. [Paper] [Code] [Video] -
Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters
Federico Landi, Lorenzo Baraldi, Massimiliano Corsini, Rita Cucchiara
BMVC, 2019. [Paper] [Code] -
Transferable Representation Learning in Vision-and-Language Navigation
Haoshuo Huang, Vihan Jain, Harsh Mehta, Alexander Ku, Gabriel Magalhaes, Jason Baldridge, Eugene Ie
ICCV, 2019. [Paper] -
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang
CVPR, 2020. [Paper] -
Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Tasks
Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang
CVPR, 2020. [Paper] -
Perceive, Transform, and Act: Multi-Modal Attention Networks for Vision-and-Language Navigation
Federico Landi, Lorenzo Baraldi, Marcella Cornia, Massimiliano Corsini, Rita Cucchiara
arXiv, 2019. [Paper] [Code] -
Just Ask: An Interactive Learning Framework for Vision and Language Navigation
Ta-Chung Chi, Mihail Eric, Seokhwan Kim, Minmin Shen, Dilek Hakkani-tur
AAAI, 2020. [Paper] -
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao
CVPR, 2020. [Paper] [Code] -
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation
Xin Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi
ECCV, 2020. [Paper] -
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling
Tsu-Jui Fu, Xin Wang, Matthew Peterson, Scott Grafton, Miguel Eckstein, William Yang Wang
ECCV, 2020. [Paper] -
Multi-View Learning for Vision-and-Language Navigation
Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith
arXiv, 2020. [Paper] -
Vision-Dialog Navigation by Exploring Cross-modal Memory
Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang
CVPR, 2020. [Paper] [Code] -
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation
Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
arXiv, 2020. [Paper] -
Sub-Instruction Aware Vision-and-Language Navigation
Yicong Hong, Cristian Rodriguez-Opazo, Qi Wu, Stephen Gould
arXiv, 2020. [Paper] -
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments
Jacob Krantz, Erik Wijmans, Arjun Majumdar, Dhruv Batra, Stefan Lee
ECCV, 2020. [Paper] [Code] [Website] -
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling
Tsu-Jui Fu, Xin Eric Wang, Matthew Peterson, Scott Grafton, Miguel Eckstein, William Yang Wang
ECCV, 2020. [Paper] [Code] [Website] -
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web
Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh, Dhruv Batra
ECCV, 2020. [Paper] -
Soft Expert Reward Learning for Vision-and-Language Navigation
Hu Wang, Qi Wu, Chunhua Shen
ECCV, 2020. [Paper] -
Active Visual Information Gathering for Vision-Language Navigation
Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang, Jianbing Shen
ECCV, 2020. [Paper] [Code] -
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation
Xin Eric Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi
ECCV, 2020. [Paper] -
Language and Visual Entity Relationship Graph for Agent Navigation
Yicong Hong, Cristian Rodriguez, Yuankai Qi, Qi Wu, Stephen Gould
NeurIPS, 2020. [Paper] [Code] -
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen
Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Javen Qinfeng Shi, Anton van den Hengel
NeurIPS, 2020. [Paper] -
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
NeurIPS, 2020. [Paper] -
Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning
Weixia Zhang, Chao Ma, Qi Wu, Xiaokang Yang
TCSVT, 2020. [Paper] -
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule
Shuhei Kurita, Kyunghyun Cho
ICLR, 2021. [Paper] -
Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation
Muhammad Zubair Irshad, Chih-Yao Ma, Zsolt Kira
ICRA, 2021. [Paper] [Code] [Website] [Video] -
VLN BERT: A Recurrent Vision-and-Language BERT for Navigation
Yicong Hong, Qi Wu, Yuankai Qi, Cristian Rodriguez-Opazo, Stephen Gould
CVPR, 2021. [Paper] [Code] -
Structured Scene Memory for Vision-Language Navigation
Hanqing Wang, Wenguan Wang, Wei Liang, Caiming Xiong, Jianbing Shen
CVPR, 2021. [Paper] [Code] -
Topological Planning With Transformers for Vision-and-Language Navigation
Kevin Chen, Junshen K. Chen, Jo Chuang, Marynel Vázquez, Silvio Savarese
CVPR, 2021. [Paper] -
SOON: Scenario Oriented Object Navigation With Graph-Based Exploration
Fengda Zhu, Xiwen Liang, Yi Zhu, Qizhi Yu, Xiaojun Chang, Xiaodan Liang
CVPR, 2021. [Paper] -
Room-and-Object Aware Knowledge Reasoning for Remote Embodied Referring Expression
Chen Gao, Jinyu Chen, Si Liu, Luting Wang, Qiong Zhang, Qi Wu
CVPR, 2021. [Paper] -
Scene-Intuitive Agent for Remote Embodied Visual Grounding
Xiangru Lin, Guanbin Li, Yizhou Yu
CVPR, 2021. [Paper] -
Neighbor-view Enhanced Model for Vision and Language Navigation
Dong An, Yuankai Qi, Yan Huang, Qi Wu, Liang Wang, Tieniu Tan
ACM MM, 2021. [Paper] [Code] -
The Road To Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation
Yuankai Qi, Zizheng Pan, Yicong Hong, Ming-Hsuan Yang, Anton van den Hengel, Qi Wu
ICCV, 2021. [Paper] [Code] -
Pathdreamer: A World Model for Indoor Navigation
Jing Yu Koh, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson
ICCV, 2021. [Paper] [Code] [Website] -
Episodic Transformer for Vision-and-Language Navigation
Alexander Pashevich, Cordelia Schmid, Chen Sun
ICCV, 2021. [Paper] [Code] [Website] -
Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation
Yi Zhu*, Yue Weng*, Fengda Zhu, Xiaodan Liang, , Qixiang Ye, Yutong Lu, Jianbin Jiao
ICCV, 2021. [Paper] -
Vision-Language Navigation with Random Environmental Mixup
Chong Liu*, Fengda Zhu*, Xiaojun Chang, Xiaodan Liang, Zongyuan Ge, Yi-Dong Shen
ICCV, 2021. [Paper] [Code] -
Waypoint Models for Instruction-guided Navigation in Continuous Environments
Jacob Krantz, Aaron Gokaslan, Dhruv Batra, Stefan Lee, Oleksandr Maksymets
ICCV, 2021. [Paper] [Code] [Website] -
Airbert: In-domain Pretraining for Vision-and-Language Navigation
Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen, Ivan Laptev, Cordelia Schmid
ICCV, 2021. [Paper] [Code] [Website] -
Curriculum Learning for Vision-and-Language Navigation
Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng
NeurIPS, 2021. [Paper] [Code] -
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation
Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal, Stefan Lee, Dhruv Batra
NeurIPS, 2021. [Paper] -
History Aware Multimodal Transformer for Vision-and-Language Navigation
Shizhe Chen, Pierre-Louis Guhur, Cordelia Schmid, Ivan Laptev
NeurIPS, 2021. [Paper] [Website] [Code] -
SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments
Muhammad Zubair Irshad, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar
ICPR, 2022. [Paper] [Website] [Video]
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Two Body Problem: Collaborative Visual Task Completion
Unnat Jain*, Luca Weihs*, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander Schwing, Aniruddha Kembhavi
CVPR, 2019. [Paper] [Website] -
A Cordial Sync: Going Beyond Marginal Policies For Multi-Agent Embodied Tasks
Unnat Jain*, Luca Weihs*, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander Schwing
ECCV, 2020. [Paper] [Code] [Website] -
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents
Shivansh Patel*, Saim Wani*, Unnat Jain*, Alexander G. Schwing, Svetlana Lazebnik, Manolis Savva, Angel X. Chang
ICCV, 2021. [Paper] -
GRIDTOPIX: Training Embodied Agents with Minimal Supervision
Shivansh Patel*, Saim Wani*, Unnat Jain*, Alexander G. Schwing, Svetlana Lazebnik, Manolis Savva, Angel X. Chang
ICCV, 2021. [Paper] [Website] -
Sound Adversarial Audio-Visual Navigation
Yinfeng Yu, Wenbing Huang, Fuchun Sun, Changan Chen, Yikai Wang, Xiaohong Liu
ICLR, 2022. [Paper] [Code] [Website] -
Proactive Multi-Camera Collaboration for 3D Human Pose Estimation
Hai Ci, Mickel Liu, Xuehai Pan, Fangwei Zhong, Yizhou Wang
ICLR, 2023. [Paper] [Website]
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End-to-end Active Object Tracking via Reinforcement Learning
Wenhan Luo*, Peng Sun*, Fangwei Zhong, Wei Liu, Tong Zhang, Yizhou Wang
ICML, 2018. [Paper] [Website] -
End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning
Wenhan Luo*, Peng Sun*, Fangwei Zhong*, Wei Liu, Tong Zhang, Yizhou Wang
IEEE TPAMI, 2019. [Paper] [Website] -
AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking
Fangwei Zhong, Wenhan Luo, Peng Sun, Tingyun Yan, Yizhou Wang
ICLR, 2019. [Paper] [Code] -
AD-VAT+: An Asymmetric Dueling Mechanism for Learning and Understanding Visual Active Tracking
Fangwei Zhong, Wenhan Luo, Peng Sun, Tingyun Yan, Yizhou Wang
IEEE TPAMI, 2019. [Paper] [Code] -
Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
Jing Li*, Jing Xu*, Fangwei Zhong*, Xiangyu Kong, Yu Qiao, Yizhou Wang
AAAI, 2020. [Paper] [Code] -
Towards Distraction-Robust Active Visual Tracking
Fangwei Zhong, Wenhan Luo, Peng Sun, Tingyun Yan, Yizhou Wang
ICML, 2021. [Paper] [Code] [Website] -
Anti-Distractor Active Object Tracking in 3D Environments
Mao Xi, Yun Zhou, Zheng Chen, Wengang Zhou, Houqiang Li
IEEE TCSVT, 2022. [Paper] -
Enhancing continuous control of mobile robots for end-to-end visual active tracking
A Devo, A Dionigi, G Costante
RAS, 2021. [Paper] -
E-VAT: An Asymmetric End-to-End Approach to Visual Active Exploration and Tracking
Alberto Dionigi, Alessandro Devo, Leonardo Guiducci, Gabriele Costante
IEEE RA-L, 2022. [Paper] -
RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking
Fangwei Zhong*, Xiao Bi*, Yudi Zhang, Wei Zhang, Yizhou Wang
AAAI, 2023. [Paper] [Website]
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Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell
ICML, 2017. [Paper] [Code] [Website] -
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks
Dinesh Jayaraman, Kristen Grauman
CVPR, 2018. [Paper] -
Sidekick Policy Learning for Active Visual Exploration
Santhosh K. Ramakrishnan, Kristen Grauman
ECCV, 2018. [Paper] [Code] [Website] -
Learning Exploration Policies for Navigation
Tao Chen, Saurabh Gupta, Abhinav Gupta
ICLR, 2019. [Paper] [Code] [Website] -
Episodic Curiosity through Reachability
Nikolay Savinov, Anton Raichuk, Damien Vincent, Raphael Marinier, Marc Pollefeys, Timothy Lillicrap, Sylvain Gelly
ICLR, 2019. [Paper] [Code] [Website] -
Emergence of Exploratory Look-Around Behaviors through Active Observation Completion
Santhosh K. Ramakrishnan*, Dinesh Jayaraman*, Kristen Grauman
Science Robotics, 2019. [Paper] [Code] [Website] -
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese
CVPR, 2019. [Paper] [Website] -
Explore and Explain: Self-supervised Navigation and Recounting
Roberto Bigazzi, Federico Landi, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara
ICPR, 2020. [Paper] -
Learning to Explore using Active Neural SLAM
Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov
ICLR, 2020. [Paper] [Code] [Website] -
Semantic Curiosity for Active Visual Learning
Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta, Abhinav Gupta
ECCV, 2020. [Paper] [Website] -
See, Hear, Explore: Curiosity via Audio-Visual Association
Victoria Dean, Shubham Tulsiani, Abhinav Gupta
NeurIPS, 2020. [Paper] [Website] -
Occupancy Anticipation for Efficient Exploration and Navigation
Santhosh K. Ramakrishnan, Ziad Al-Halah, Kristen Grauman
ECCV, 2020. [Paper] [Code] [Website] -
Focus on Impact: Indoor Exploration With Intrinsic Motivation
Roberto Bigazzi, Federico Landi, Silvia Cascianelli, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara
IEEE RA-L + ICRA, 2022. [Paper] [Code] -
Symmetry-aware Neural Architecture for. Embodied Visual Exploration
Shuang Liu, Takayuki Okatani
CVPR, 2022. [Paper] [Code] [Website] -
Embodied Agents for Efficient Exploration and Smart Scene Description
Roberto Bigazzi, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara
ICRA, 2023. [Paper]
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Embodied Question Answering
Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra
CVPR, 2018. [Paper] [Code] [Website] -
Multi-Target Embodied Question Answering
Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra
CVPR, 2019. [Paper] -
Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
Erik Wijmans*, Samyak Datta*, Oleksandr Maksymets*, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra
CVPR, 2019. [Paper] -
Episodic Memory Question Answering
Samyak Datta, Sameer Dharur, Vincent Cartillier, Ruta Desai, Mukul Khanna, Dhruv Batra, and Devi Parikh
CVPR, 2022. [Paper] [Website] -
SQA3D: Situated Question Answering in 3D Scenes
Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li , Yitao Liang, Song-Chun Zhu, Siyuan Huang
ICLR, 2023. [Paper] [Website]
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Visual Semantic Planning using Deep Successor Representations
Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi
ICCV, 2017. [Paper] -
IQA: Visual Question Answering in Interactive Environments
Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, and Ali Farhadi
CVPR, 2018. [Paper] [Code] [Website] -
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox
CVPR, 2020. [Paper] [Code] [Website] -
Learning About Objects by Learning to Interact with Them
Martin Lohmann, Jordi Salvador, Aniruddha Kembhavi, Roozbeh Mottaghi
NeurIPS, 2020. [Paper] -
Learning Affordance Landscapes for Interaction Exploration in 3D Environments
Tushar Nagarajan, Kristen Grauman
NeurIPS, 2020. [Paper] -
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
ICLR, 2021. [Paper] [Code] [Website] -
Learning Generalizable Visual Representations via Interactive Gameplay
Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani, Sarah M Pratt, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi
ICLR, 2021. [Paper] -
Pushing It Out of the Way: Interactive Visual Navigation
Kuo-Hao Zeng, Luca Weihs, Ali Farhadi, Roozbeh Mottaghi
CVPR, 2021. [Paper] [Code] [Website] -
ManipulaTHOR: A Framework for Visual Object Manipulation
Kiana Ehsani, Winson Han, Alvaro Herrasti, Eli VanderBilt, Luca Weihs, Eric Kolve, Aniruddha Kembhavi, Roozbeh Mottaghi
CVPR, 2021. [Paper] [Code] [Website] -
🏘️ ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Jordi Salvador, Kiana Ehsani, Winson Han, Eric Kolve, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
arXiv, 2022. [Paper] [Website] -
Transformer Memory for Interactive Visual Navigation in Cluttered Environments
Weiyuan Li, Ruoxin Hong, Jiwei Shen, Liang Yuan, Yue Lu
IEEE RA-L, 2023. [Paper]
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Rearrangement: A Challenge for Embodied AI
Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su
arXiv, 2020. [Paper] -
Visual Room Rearrangement
Luca Weihs, Matt Deitke, Aniruddha Kembhavi, and Roozbeh Mottaghi
CVPR, 2021. [Paper] [Code] [Website] -
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Andrew Szot, Alex Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra
NeurIPS 2021. [Paper] [Code] -
🏘️ ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Jordi Salvador, Kiana Ehsani, Winson Han, Eric Kolve, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
arXiv, 2022. [Paper] [Website] -
TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification
Mingdong Wu/, Fangwei Zhong/, Yulong Xia, Hao Dong
NeurIPS, 2022. [Paper] [Website] -
Rearrange Indoor Scenes for Human-Robot Co-Activity
Weiqi Wang/, Zihang Zhao/, Ziyuan Jiao/, Yixin Zhu, Song-Chun Zhu, Hangxin Liu*
ICRA, 2023. [Paper] [Website]
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Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel
IROS, 2017. [Paper] -
Sim-to-Real Transfer for Vision-and-Language Navigation
Peter Anderson, Ayush Shrivastava, Joanne Truong, Arjun Majumdar, Devi Parikh, Dhruv Batra, Stefan Lee
CoRL, 2020. [Paper] -
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari
CVPR, 2020. [Paper] -
Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied Navigation Agents
Joanne Truong, Sonia Chernova, Dhruv Batra
RA-L, 2021. [Paper]
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A Dataset for Developing and Benchmarking Active Vision
Phil Ammirato, Patrick Poirson, Eunbyung Park, Jana Kosecka, Alexander C. Berg
ICRA, 2017. [Paper] [Code] [Website] -
AI2-THOR: An Interactive 3D Environment for Visual AI
Eric Kolve, Roozbeh Mottaghi, Winson Han, Eli VanderBilt, Luca Weihs, Alvaro Herrasti, Daniel Gordon, Yuke Zhu, Abhinav Gupta, Ali Farhadi
arXiv, 2017. [Paper] [Code] [Website] -
Matterport3D: Learning from RGB-D Data in Indoor Environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Nießner, Manolis Savva, Shuran Song, Andy Zeng, Yinda Zhang
3DV, 2017. [Paper] [Code] [Website] -
Gibson Env: Real-World Perception for Embodied Agents
Fei Xia, Amir Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, Silvio Savarese
CVPR, 2018. [Paper] [Code] [Website] -
The Replica Dataset: A Digital Replica of Indoor Spaces
Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J. Engel, Raul Mur-Artal, Carl Ren, Shobhit Verma, Anton Clarkson, Mingfei Yan, Brian Budge, Yajie Yan, Xiaqing Pan, June Yon, Yuyang Zou, Kimberly Leon, Nigel Carter, Jesus Briales, Tyler Gillingham, Elias Mueggler, Luis Pesqueira, Manolis Savva, Dhruv Batra, Hauke M. Strasdat, Renzo De Nardi, Michael Goesele, Steven Lovegrove, Richard Newcombe
arXiV, 2019. [Paper] [Code] -
Actionet: An Interactive End-to-End Platform for Task-Based Data Collection and Augmentation in 3D Environments
Jiafei Duan, Samson Yu, Hui Li Tan, Cheston Tan
ICIP, 2020. [Paper] [Code] -
Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI
Santhosh K. Ramakrishnan, Aaron Gokaslan, Erik Wijmans, Oleksandr Maksymets, Alex Clegg, John Turner, Eric Undersander, Wojciech Galuba, Andrew Westbury, Angel X. Chang, Manolis Savva, Yili Zhao, Dhruv Batra
NeurIPS, 2021. [Paper] [Website] -
🏘️ ProcTHOR-10K: 10K Interactive Household Environments for Embodied AI
Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Jordi Salvador, Kiana Ehsani, Winson Han, Eric Kolve, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
arXiv, 2022. [Paper] [Website]
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AI2-THOR: An Interactive 3D Environment for Visual AI
Eric Kolve, Roozbeh Mottaghi, Winson Han, Eli VanderBilt, Luca Weihs, Alvaro Herrasti, Daniel Gordon, Yuke Zhu, Abhinav Gupta, Ali Farhadi
arXiv, 2017. [Paper] [Code] [Website] -
UnrealCV: Virtual Worlds for Computer Vision
Weichao Qiu, Fangwei Zhong, Yi Zhang, Siyuan Qiao, Zihao Xiao, Tae Soo Kim, Yizhou Wang, Alan Yuille
ACM MM Open Source Software Competition, 2017. [Paper] [Code] [Website] -
Building Generalizable Agents with a Realistic and Rich 3D Environment (House3D)
Yi Wu, Yuxin Wu, Georgia Gkioxari, Yuandong Tian
arXiv, 2018. [Paper] [Code] -
CHALET: Cornell House Agent Learning Environment
Claudia Yan, Dipendra Misra, Andrew Bennett, Aaron Walsman, Yonatan Bisk and Yoav Artzi
arXiv, 2018. [Paper] [Code] -
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi
CVPR, 2020. [Paper] [Website] -
Gibson Env: Real-World Perception for Embodied Agents
Fei Xia, Amir Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, Silvio Savarese
CVPR, 2018. [Paper] [Code] [Website] -
Habitat: A Platform for Embodied AI Research
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra
ICCV, 2019. [Paper] [Code] [Website] -
VirtualHome: Simulating Household Activities via Programs
Xavier Puig*, Kevin Ra*, Marko Boben*, Jiaman Li, Tingwu Wang, Sanja Fidler, Antonio Torralba
CVPR, 2018. [Paper] [Code] [Website] -
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, James J. DiCarlo, Josh McDermott, Joshua B. Tenenbaum, Daniel L.K. Yamins
arXiv, 2020. [Paper] [Code] [Website] -
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
ICLR, 2021. [Paper] [Code] [Website] -
ManipulaTHOR: A Framework for Visual Object Manipulation
Kiana Ehsani, Winson Han, Alvaro Herrasti, Eli VanderBilt, Luca Weihs, Eric Kolve, Aniruddha Kembhavi, Roozbeh Mottaghi
CVPR, 2021. [Paper] [Code] [Website] -
🏘️ ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Jordi Salvador, Kiana Ehsani, Winson Han, Eric Kolve, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
arXiv, 2022. [Paper] [Website]
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Visual Learning and Embodied Agents in Simulation Environments Workshop
ECCV, 2018. [website] -
Embodied-AI Workshop
CVPR, 2020/2021. [website] -
Gibson Sim2Real Challenge
CVPR, 2020. [website] -
Embodied Vision, Actions & Language Workshop
ECCV, 2020. [website] -
Closing the Reality Gap in Sim2Real Transfer for Robotics
RSS, 2020. [website] -
On Evaluation of Embodied Navigation Agents
Peter Anderson, Angel Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, Amir R. Zamir
arXiv, 2018. [Paper] -
PyRobot: An Open-source Robotics Framework for Research and Benchmarking
Adithya Murali*, Tao Chen*, Kalyan Vasudev Alwala*, Dhiraj Gandhi*, Lerrel Pinto, Saurabh Gupta, Abhinav Gupta
arXiv, 2019. [Paper] [Code] [Website] -
A Survey of Embodied AI: From Simulators to Research Tasks
Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, Cheston Tan
arXiv, 2021. [Paper] -
AllenAct: A Framework for Embodied AI Research
Luca Weihs, Jordi Salvador, Klemen Kotar, Unnat Jain, Kuo-Hao Zeng, Roozbeh Mottaghi, Aniruddha Kembhavi
arXiv, 2020. [Paper] [Website] -
CSAIL Embodied Intelligence Seminar
[website]