Antonio Torralba

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 327

Top Venues

Publications

Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang
Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects. CoRR (2024)
Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrián Rodríguez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba
A Vision Check-up for Language Models. CoRR (2024)
Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu
MMToM-QA: Multimodal Theory of Mind Question Answering. CoRR (2024)
Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. ICML (2023)
Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang
Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects. NeurIPS (2023)
Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler
DreamTeacher: Pretraining Image Backbones with Deep Generative Models. CoRR (2023)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Generalizing Dataset Distillation via Deep Generative Prior. CoRR (2023)
Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. ICLR (2023)
Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. CoRR (2023)
Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. ICRA (2023)
Ethan Weber, Dim P. Papadopoulos, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba
Incidents1M: A Large-Scale Dataset of Images With Natural Disasters, Damage, and Incidents. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Generalizing Dataset Distillation via Deep Generative Prior. CVPR (2023)
Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. CVPR (2023)
Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models. CoRR (2023)
Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch
Composing Ensembles of Pre-trained Models via Iterative Consensus. ICLR (2023)
Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. CoRR (2023)
Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. CoRR (2023)
Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao, Shengjin Wang
Detecting Everything in the Open World: Towards Universal Object Detection. CVPR (2023)
Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, Stefanie Jegelka
Debiasing Vision-Language Models via Biased Prompts. CoRR (2023)
Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. ICCV (2023)
Alaa Maalouf, Ninad Jadhav, Krishna Murthy Jatavallabhula, Makram Chahine, Daniel M. Vogt, Robert J. Wood, Antonio Torralba, Daniela Rus
Follow Anything: Open-set detection, tracking, and following in real-time. CoRR (2023)
Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. CoRR (2023)
Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan C. Russell
Customizing Motion in Text-to-Video Diffusion Models. CoRR (2023)
Wenqiang Chen, Yexin Hu, Wei Song, Yingcheng Liu, Antonio Torralba, Wojciech Matusik
CAvatar: Real-time Human Activity Mesh Reconstruction via Tactile Carpets. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (4) (2023)
Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, Nikhil Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba
ConceptFusion: Open-set Multimodal 3D Mapping. CoRR (2023)
Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler
DreamTeacher: Pretraining Image Backbones with Deep Generative Models. ICCV (2023)
Haotian Xue, Antonio Torralba, Josh Tenenbaum, Dan Yamins, Yunzhu Li, Hsiao-Yu Tung
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. NeurIPS (2023)
Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao, Shengjin Wang
Detecting Everything in the Open World: Towards Universal Object Detection. CoRR (2023)
Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel L. K. Yamins, Yunzhu Li, Hsiao-Yu Tung
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. CoRR (2023)
Manel Baradad, Yuanzhen Li, Forrester Cole, Michael Rubinstein, Antonio Torralba, William T. Freeman, Varun Jampani
Background Prompting for Improved Object Depth. CoRR (2023)
Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch
Improving Factuality and Reasoning in Language Models through Multiagent Debate. CoRR (2023)
Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. CoRR (2023)
Sarah Schwettmann, Neil Chowdhury, Samuel Klein, David Bau, Antonio Torralba
Multimodal Neurons in Pretrained Text-Only Transformers. ICCV (Workshops) (2023)
Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. CVPR (2023)
Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim
: Backward-compatible Training with Basis Transformation. ICCV (2023)
Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. CoRR (2023)
Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba
A Function Interpretation Benchmark for Evaluating Interpretability Methods. CoRR (2023)
Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba
FIND: A Function Description Benchmark for Evaluating Interpretability Methods. NeurIPS (2023)
Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Ganesh Iyer, Soroush Saryazdi, Tao Chen, Alaa Maalouf, Shuang Li, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba
ConceptFusion: Open-set multimodal 3D mapping. Robotics: Science and Systems (2023)
Huan Ling, Seung Wook Kim, Antonio Torralba, Sanja Fidler, Karsten Kreis
Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models. CoRR (2023)
Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel Yamins, Yunzhu Li, Hsiao-Yu Tung
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. CVPR Workshops (2023)
Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao
Open-vocabulary Panoptic Segmentation with Embedding Modulation. CoRR (2023)
Qiao Gu, Alihusein Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. CoRR (2023)
Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao
Open-vocabulary Panoptic Segmentation with Embedding Modulation. ICCV (2023)
Sarah Schwettmann, Neil Chowdhury, Antonio Torralba
Multimodal Neurons in Pretrained Text-Only Transformers. CoRR (2023)
Joseph DelPreto, Chao Liu, Yiyue Luo, Michael Foshey, Yunzhu Li, Antonio Torralba, Wojciech Matusik, Daniela Rus
ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment. NeurIPS (2022)
Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J. DiCarlo, Josh H. McDermott, Antonio Torralba, Joshua B. Tenenbaum
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI. ICRA (2022)
Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. CVPR (2022)
Audrey Cui, Ali Jahanian, Àgata Lapedriza, Antonio Torralba, Shahin Mahdizadehaghdam, Rohit Kumar, David Bau
Local Relighting of Real Scenes. CoRR (2022)
Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. CoRR (2022)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Dataset Distillation by Matching Training Trajectories. CoRR (2022)
Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim
: Backward-compatible Training with Basis Transformation. CoRR (2022)
Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CVPR (2022)
Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Adela Barriuso, Sanja Fidler, Antonio Torralba
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. CoRR (2022)
Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
Procedural Image Programs for Representation Learning. NeurIPS (2022)
Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song
Robust Contrastive Learning against Noisy Views. CVPR (2022)
Andrew Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan
Learning Neural Acoustic Fields. NeurIPS (2022)
Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum
Noisy Agents: Self-supervised Exploration by Predicting Auditory Events. IROS (2022)
Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. ICLR (2022)
Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian
Denoised MDPs: Learning World Models Better Than the World Itself. CoRR (2022)
Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox
Correcting Robot Plans with Natural Language Feedback. CoRR (2022)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation. CVPR Workshops (2022)
Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Antonio Torralba, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu
Pre-Trained Language Models for Interactive Decision-Making. CoRR (2022)
Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
Totems: Physical Objects for Verifying Visual Integrity. CoRR (2022)
Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CoRR (2022)
Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
Totems: Physical Objects for Verifying Visual Integrity. ECCV (14) (2022)
William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman
GAN-Supervised Dense Visual Alignment. CVPR (2022)
Joanna Materzynska, Antonio Torralba, David Bau
Disentangling visual and written concepts in CLIP. CVPR (2022)
Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko, Kuan Wei Huang, Ferda Ofli, Antonio Torralba
Learning Program Representations for Food Images and Cooking Recipes. CoRR (2022)
Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song
Robust Contrastive Learning against Noisy Views. CoRR (2022)
Ethan Weber, Dim P. Papadopoulos, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba
Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents. CoRR (2022)
Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum
Compositional Visual Generation with Composable Diffusion Models. ECCV (17) (2022)
Joanna Materzynska, Antonio Torralba, David Bau
Disentangling visual and written concepts in CLIP. CoRR (2022)
Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko, Kuan Wei Huang, Ferda Ofli, Antonio Torralba
Learning Program Representations for Food Images and Cooking Recipes. CVPR (2022)
Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba
Finding Fallen Objects Via Asynchronous Audio-Visual Integration. CoRR (2022)
Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas
Natural Language Descriptions of Deep Visual Features. ICLR (2022)
Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CoRR (2022)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Dataset Distillation by Matching Training Trajectories. CVPR (2022)
Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas
Natural Language Descriptions of Deep Visual Features. CoRR (2022)
Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba
MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning. ECCV (27) (2022)
Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba
Finding Fallen Objects Via Asynchronous Audio-Visual Integration. CVPR (2022)
Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch
Composing Ensembles of Pre-trained Models via Iterative Consensus. CoRR (2022)
Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum
Compositional Visual Generation with Composable Diffusion Models. CoRR (2022)
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR (2022)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Dataset Distillation by Matching Training Trajectories. CVPR Workshops (2022)
Adrián Rodríguez-Muñoz, Antonio Torralba
Aliasing is a Driver of Adversarial Attacks. CoRR (2022)
Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
Procedural Image Programs for Representation Learning. CoRR (2022)
Pratyusha Sharma, Antonio Torralba, Jacob Andreas
Skill Induction and Planning with Latent Language. ACL (1) (2022)
Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. CoRR (2022)
Tongzhou Wang, Simon Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian
Denoised MDPs: Learning World Models Better Than the World Itself. ICML (2022)
Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu
Pre-Trained Language Models for Interactive Decision-Making. NeurIPS (2022)
Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CVPR (2022)
Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Sanja Fidler, Antonio Torralba
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. CVPR (2022)
Andrew Luo, Yilun Du, Michael J. Tarr, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan
Learning Neural Acoustic Fields. CoRR (2022)
Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox
Correcting Robot Plans with Natural Language Feedback. Robotics: Science and Systems (2022)
Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering. ICLR (2021)
Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand
What You Can Learn by Staring at a Blank Wall. CoRR (2021)
Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry
Editing a classifier by rewriting its prediction rules. CoRR (2021)
Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba, Joshua B. Tenenbaum, Phillip Isola
OPEn: An Open-ended Physics Environment for Learning Without a Task. IROS (2021)
Nan Liu, Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba
Learning to Compose Visual Relations. CoRR (2021)

Antonio Torralba.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Antonio Torralba