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2020 – today
- 2023
[j29]Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang:
Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. 24: 226:1-226:6 (2023)- [j28]Roberto Martín-Martín
, Mihir Patel, Hamid Rezatofighi, Abhijeet Shenoi, JunYoung Gwak, Eric Frankel, Amir Sadeghian, Silvio Savarese:
JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6748-6765 (2023) - [j27]Tran Thien Dat Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian D. Reid:
How Trustworthy are Performance Evaluations for Basic Vision Tasks? IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8538-8552 (2023) - [c206]Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi:
LAVIS: A One-stop Library for Language-Vision Intelligence. ACL (demo) 2023: 31-41 - [c205]Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou:
Best-k Search Algorithm for Neural Text Generation. ACL (1) 2023: 12385-12401 - [c204]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. AAMAS 2023: 2851-2853 - [c203]Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding. CVPR 2023: 1179-1189 - [c202]Honglu Zhou, Roberto Martín-Martín, Mubbasir Kapadia, Silvio Savarese, Juan Carlos Niebles:
Procedure-Aware Pretraining for Instructional Video Understanding. CVPR 2023: 10727-10738 - [c201]Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong:
Long Document Summarization with Top-down and Bottom-up Inference. EACL (Findings) 2023: 1237-1254 - [c200]Junnan Li, Silvio Savarese, Steven C. H. Hoi:
Masked Unsupervised Self-training for Label-free Image Classification. ICLR 2023 - [c199]Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong:
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. ICLR 2023 - [c198]Trevor Scott Standley, Ruohan Gao, Dawn Chen, Jiajun Wu, Silvio Savarese:
An Extensible Multi-modal Multi-task Object Dataset with Materials. ICLR 2023 - [c197]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. ICML 2023: 17976-17993 - [c196]Junnan Li, Dongxu Li, Silvio Savarese, Steven C. H. Hoi:
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. ICML 2023: 19730-19742 - [c195]Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu:
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear. ICRA 2023: 704-711 - [c194]Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. SIGDIAL 2023: 509-518 - [i152]Junnan Li, Dongxu Li, Silvio Savarese, Steven C. H. Hoi:
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. CoRR abs/2301.12597 (2023) - [i151]Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu:
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CoRR abs/2303.09618 (2023) - [i150]Honglu Zhou, Roberto Martín-Martín, Mubbasir Kapadia, Silvio Savarese, Juan Carlos Niebles:
Procedure-Aware Pretraining for Instructional Video Understanding. CoRR abs/2303.18230 (2023) - [i149]Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Savarese, Steven C. H. Hoi:
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges. CoRR abs/2304.04661 (2023) - [i148]Erik Nijkamp, Hiroaki Hayashi, Caiming Xiong, Silvio Savarese, Yingbo Zhou:
CodeGen2: Lessons for Training LLMs on Programming and Natural Languages. CoRR abs/2305.02309 (2023) - [i147]Le Xue, Ning Yu, Shu Zhang, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding. CoRR abs/2305.08275 (2023) - [i146]Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu:
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. CoRR abs/2305.11147 (2023) - [i145]Trevor Standley, Ruohan Gao, Dawn Chen, Jiajun Wu, Silvio Savarese:
An Extensible Multimodal Multi-task Object Dataset with Materials. CoRR abs/2305.14352 (2023) - [i144]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Fei-Fei Li, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. CoRR abs/2305.17537 (2023) - [i143]Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu:
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear. CoRR abs/2306.00923 (2023) - [i142]Rithesh Murthy, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
REX: Rapid Exploration and eXploitation for AI Agents. CoRR abs/2307.08962 (2023) - [i141]Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong:
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. CoRR abs/2307.10172 (2023) - [i140]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. CoRR abs/2308.02151 (2023) - [i139]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. CoRR abs/2308.05960 (2023) - [i138]Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. CoRR abs/2308.08169 (2023) - [i137]Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong:
XGen-7B Technical Report. CoRR abs/2309.03450 (2023) - [i136]Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai:
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. CoRR abs/2310.10616 (2023) - [i135]Tao Sun, Yan Hao, Shengyu Huang, Silvio Savarese, Konrad Schindler, Marc Pollefeys, Iro Armeni:
Nothing Stands Still: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change. CoRR abs/2311.09346 (2023) - 2022
- [c193]Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, Karen Liu, Jiajun Wu, Li Fei-Fei:
BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation. CoRL 2022: 80-93 - [c192]Mahsa Ehsanpour, Fatemeh Sadat Saleh, Silvio Savarese, Ian D. Reid, Hamid Rezatofighi:
JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection. CVPR 2022: 20951-20960 - [c191]Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi:
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. EMNLP (Findings) 2022: 951-967 - [c190]Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu-Hong Hoi:
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning. NeurIPS 2022 - [c189]Bokui Shen, Zhenyu Jiang, Christopher B. Choy, Silvio Savarese, Leonidas J. Guibas, Anima Anandkumar, Yuke Zhu:
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. Robotics: Science and Systems 2022 - [c188]Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone:
Local calibration: metrics and recalibration. UAI 2022: 1286-1295 - [c187]Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone:
Sample-Efficient Safety Assurances Using Conformal Prediction. WAFR 2022: 149-169 - [i134]Bokui Shen, Zhenyu Jiang, Christopher B. Choy, Leonidas J. Guibas, Silvio Savarese, Anima Anandkumar, Yuke Zhu:
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. CoRR abs/2203.06856 (2022) - [i133]Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong:
Long Document Summarization with Top-down and Bottom-up Inference. CoRR abs/2203.07586 (2022) - [i132]Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong:
A Conversational Paradigm for Program Synthesis. CoRR abs/2203.13474 (2022) - [i131]Wenzhuo Yang, Hung Le, Silvio Savarese, Steven C. H. Hoi:
OmniXAI: A Library for Explainable AI. CoRR abs/2206.01612 (2022) - [i130]Junnan Li, Silvio Savarese, Steven C. H. Hoi:
Masked Unsupervised Self-training for Zero-shot Image Classification. CoRR abs/2206.02967 (2022) - [i129]Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven C. H. Hoi:
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning. CoRR abs/2207.01780 (2022) - [i128]JunYoung Gwak, Silvio Savarese, Jeannette Bohg:
Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking. CoRR abs/2208.10056 (2022) - [i127]Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi:
LAVIS: A Library for Language-Vision Intelligence. CoRR abs/2209.09019 (2022) - [i126]Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu:
Retrospectives on the Embodied AI Workshop. CoRR abs/2210.06849 (2022) - [i125]Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi:
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. CoRR abs/2210.08773 (2022) - [i124]Rachel Luo, Rohan Sinha, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone:
Online Distribution Shift Detection via Recency Prediction. CoRR abs/2211.09916 (2022) - [i123]Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou:
Best-k Search Algorithm for Neural Text Generation. CoRR abs/2211.11924 (2022) - [i122]Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP: Learning Unified Representation of Language, Image and Point Cloud for 3D Understanding. CoRR abs/2212.05171 (2022) - 2021
- [j26]Douwe van der Wal, Iny Jhun, Israa Laklouk, Jeffrey J. Nirschl, Lara Richer, Rebecca Rojansky, Talent Theparee, Joshua Wheeler, Jörg Sander, Felix Y. Feng, Osama Mohamad, Silvio Savarese, Richard Socher, Andre Esteva:
Biological data annotation via a human-augmenting AI-based labeling system. npj Digit. Medicine 4 (2021) - [c186]Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Elliott Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese:
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. CoRL 2021: 455-465 - [c185]Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Elliott Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei:
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. CoRL 2021: 477-490 - [c184]Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese:
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration. CoRL 2021: 1279-1290 - [c183]Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn:
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation. CoRL 2021: 1303-1315 - [c182]Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín:
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. CoRL 2021: 1367-1378 - [c181]Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín:
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. CoRL 2021: 1678-1690 - [c180]Kevin Chen, Junshen K. Chen, Jo Chuang, Marynel Vázquez, Silvio Savarese:
Topological Planning With Transformers for Vision-and-Language Navigation. CVPR 2021: 11276-11286 - [c179]Vida Adeli, Mahsa Ehsanpour, Ian D. Reid, Juan Carlos Niebles, Silvio Savarese, Ehsan Adeli, Hamid Rezatofighi:
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild. ICCV 2021: 13370-13380 - [c178]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Adaptive Procedural Task Generation for Hard-Exploration Problems. ICLR 2021 - [c177]Claudia Pérez-D'Arpino, Can Liu, Patrick Goebel, Roberto Martín-Martín, Silvio Savarese:
Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning. ICRA 2021: 1140-1146 - [c176]Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese:
ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation. ICRA 2021: 4583-4590 - [c175]Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Deep Affordance Foresight: Planning Through What Can Be Done in the Future. ICRA 2021: 6206-6213 - [c174]Arthur Allshire, Roberto Martín-Martín, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg:
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning. ICRA 2021: 6650-6656 - [c173]Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Learning Multi-Arm Manipulation Through Collaborative Teleoperation. ICRA 2021: 9212-9219 - [c172]Andrey Kurenkov, Roberto Martín-Martín, Jeffrey Ichnowski, Ken Goldberg, Silvio Savarese:
Semantic and Geometric Modeling with Neural Message Passing in 3D Scene Graphs for Hierarchical Mechanical Search. ICRA 2021: 11227-11233 - [c171]Noriaki Hirose, Shun Taguchi, Fei Xia, Roberto Martín-Martín, Kosuke Tahara, Masanori Ishigaki, Silvio Savarese:
Probabilistic Visual Navigation with Bidirectional Image Prediction. IROS 2021: 1539-1546 - [c170]Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Claudia Pérez-D'Arpino, Shyamal Buch, Sanjana Srivastava, Lyne Tchapmi, Micael Tchapmi, Kent Vainio, Josiah Wong, Li Fei-Fei, Silvio Savarese:
iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes. IROS 2021: 7520-7527 - [c169]Chen Wang, Rui Wang, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Danfei Xu:
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. IROS 2021: 8913-8920 - [c168]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Discovering Generalizable Skills via Automated Generation of Diverse Tasks. Robotics: Science and Systems 2021 - [i121]Agrim Gupta, Silvio Savarese, Surya Ganguli, Li Fei-Fei:
Embodied Intelligence via Learning and Evolution. CoRR abs/2102.02202 (2021) - [i120]Rachel Luo, Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai, Shengjia Zhao, Stefano Ermon:
Localized Calibration: Metrics and Recalibration. CoRR abs/2102.10809 (2021) - [i119]Chen Wang, Rui Wang, Danfei Xu, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese:
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. CoRR abs/2103.00375 (2021) - [i118]Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Trevor Standley, Silvio Savarese, Vahid Tarokh:
Neural Architecture Search From Fréchet Task Distance. CoRR abs/2103.12827 (2021) - [i117]Arthur Allshire, Roberto Martín-Martín, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg:
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning. CoRR abs/2103.15793 (2021) - [i116]Vida Adeli, Mahsa Ehsanpour, Ian D. Reid, Juan Carlos Niebles, Silvio Savarese, Ehsan Adeli, Hamid Rezatofighi:
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild. CoRR abs/2104.04029 (2021) - [i115]Mahsa Ehsanpour, Fatemeh Sadat Saleh, Silvio Savarese, Ian D. Reid, Hamid Rezatofighi:
JRDB-Act: A Large-scale Multi-modal Dataset for Spatio-temporal Action, Social Group and Activity Detection. CoRR abs/2106.08827 (2021) - [i114]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Discovering Generalizable Skills via Automated Generation of Diverse Tasks. CoRR abs/2106.13935 (2021) - [i113]Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese:
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. CoRR abs/2108.03272 (2021) - [i112]Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín:
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. CoRR abs/2108.03298 (2021) - [i111]Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei:
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. CoRR abs/2108.03332 (2021) - [i110]Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese:
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration. CoRR abs/2108.06038 (2021) - [i109]Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn:
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation. CoRR abs/2109.01115 (2021) - [i108]Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang:
Merlion: A Machine Learning Library for Time Series. CoRR abs/2109.09265 (2021) - [i107]Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone:
Sample-Efficient Safety Assurances using Conformal Prediction. CoRR abs/2109.14082 (2021) - [i106]Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín:
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. CoRR abs/2112.05251 (2021) - 2020
- [j25]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning task-oriented grasping for tool manipulation from simulated self-supervision. Int. J. Robotics Res. 39(2-3) (2020) - [j24]Mason Swofford, John Peruzzi, Nathan Tsoi, Sydney Thompson, Roberto Martín-Martín, Silvio Savarese, Marynel Vázquez:
Improving Social Awareness Through DANTE: Deep Affinity Network for Clustering Conversational Interactants. Proc. ACM Hum. Comput. Interact. 4(CSCW): 020:1-020:23 (2020) - [j23]Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese:
Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments. IEEE Robotics Autom. Lett. 5(2): 713-720 (2020) - [j22]Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks. IEEE Trans. Robotics 36(3): 582-596 (2020) - [c167]Bryan Chen, Alexander Sax, Francis Lewis, Iro Armeni, Silvio Savarese, Amir Zamir, Jitendra Malik, Lerrel Pinto:
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation. CoRL 2020: 2328-2346 - [c166]JunYoung Gwak, Christopher B. Choy, Silvio Savarese:
Generative Sparse Detection Networks for 3D Single-Shot Object Detection. ECCV (4) 2020: 297-313 - [c165]Suraj Nair, Silvio Savarese, Chelsea Finn:
Goal-Aware Prediction: Learning to Model What Matters. ICML 2020: 7207-7219 - [c164]Trevor Standley, Amir Zamir, Dawn Chen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Which Tasks Should Be Learned Together in Multi-task Learning? ICML 2020: 9120-9132 - [c163]Ajay Mandlekar, Fabio Ramos, Byron Boots, Silvio Savarese, Li Fei-Fei, Animesh Garg, Dieter Fox:
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. ICRA 2020: 4414-4420 - [c162]Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
KETO: Learning Keypoint Representations for Tool Manipulation. ICRA 2020: 7278-7285 - [c161]Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu:
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. ICRA 2020: 10059-10066 - [c160]Andrey Kurenkov, Joseph Taglic, Rohun Kulkarni, Marcus Dominguez-Kuhne, Animesh Garg, Roberto Martín-Martín, Silvio Savarese:
Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter. IROS 2020: 8408-8414 - [c159]Kevin Chen, Marynel Vázquez, Silvio Savarese:
Localizing Against Drawn Maps via Spline-Based Registration. IROS 2020: 8521-8526 - [c158]Abhijeet Shenoi, Mihir Patel, JunYoung Gwak, Patrick Goebel, Amir Sadeghian, Hamid Rezatofighi, Roberto Martín-Martín, Silvio Savarese:
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset. IROS 2020: 10335-10342 - [c157]