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ORCIDAntonio Torralba 0001
Person information
- affiliation: MIT, Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
Other persons with the same name
- Antonio Torralba 0002
![[0000-0001-6887-6146]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6887-6146")
(aka: Antonio J. Torralba, Antonio Jesús Torralba Silgado) — University of Seville, Department of Electronic Engineering, Spain - Antonio Torralba 0003 — Institut National Polytechnique de Grenoble, France
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2020 – today
- 2024
[j44]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. IEEE Robotics Autom. Lett. 9(4): 3283-3290 (2024)- [c229]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. ACL (1) 2024: 16077-16102 - [c228]Yichen Li, Yilun Du, Chao Liu, Chao Liu, Francis Williams, Michael Foshey, Benjamin Eckart, Jan Kautz, Joshua B. Tenenbaum, Antonio Torralba, Wojciech Matusik:
Learning to Jointly Understand Visual and Tactile Signals. ICLR 2024 - [c227]Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch:
Improving Factuality and Reasoning in Language Models through Multiagent Debate. ICML 2024 - [c226]Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba:
A Multimodal Automated Interpretability Agent. ICML 2024 - [c225]George Tang, Krishna Murthy Jatavallabhula, Antonio Torralba:
Efficient 3D Instance Mapping and Localization with Neural Fields. ICRA 2024: 1818-1824 - [c224]Qiao Gu, Ali 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. ICRA 2024: 5021-5028 - [i164]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 abs/2401.01862 (2024) - [i163]Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang:
Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects. CoRR abs/2401.05236 (2024) - [i162]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 abs/2401.08743 (2024) - [i161]Lance Ying, Kunal Jha, Shivam Aarya, Joshua B. Tenenbaum, Antonio Torralba, Tianmin Shu:
GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment. CoRR abs/2403.11075 (2024) - [i160]Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng:
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. CoRR abs/2403.15385 (2024) - [i159]George Tang, Krishna Murthy Jatavallabhula, Antonio Torralba:
Efficient 3D Instance Mapping and Localization with Neural Fields. CoRR abs/2403.19797 (2024) - [i158]Achyuta Rajaram, Neil Chowdhury, Antonio Torralba, Jacob Andreas, Sarah Schwettmann:
Automatic Discovery of Visual Circuits. CoRR abs/2404.14349 (2024) - [i157]Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba:
A Multimodal Automated Interpretability Agent. CoRR abs/2404.14394 (2024) - [i156]Jiawei Ren, Kevin Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, Huan Ling:
L4GM: Large 4D Gaussian Reconstruction Model. CoRR abs/2406.10324 (2024) - 2023
- [j43]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): 151:1-151:24 (2023) - [j42]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): 4768-4781 (2023) - [c223]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: 3625-3635 - [c222]George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Generalizing Dataset Distillation via Deep Generative Prior. CVPR 2023: 3739-3748 - [c221]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: 8496-8506 - [c220]Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan:
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. CVPR 2023: 9749-9759 - [c219]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: 11433-11443 - [c218]Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao:
Open-vocabulary Panoptic Segmentation with Embedding Modulation. ICCV 2023: 1141-1150 - [c217]Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba:
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. ICCV 2023: 2085-2095 - [c216]Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim:
BT2: Backward-compatible Training with Basis Transformation. ICCV 2023: 11195-11204 - [c215]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: 16652-16662 - [c214]Sarah Schwettmann, Neil Chowdhury, Samuel Klein, David Bau, Antonio Torralba:
Multimodal Neurons in Pretrained Text-Only Transformers. ICCV (Workshops) 2023: 2854-2859 - [c213]Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch:
Composing Ensembles of Pre-trained Models via Iterative Consensus. ICLR 2023 - [c212]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 - [c211]Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang:
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. ICML 2023: 36411-36430 - [c210]Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba:
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. ICRA 2023: 7628-7634 - [c209]Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang:
Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects. NeurIPS 2023 - [c208]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 - [c207]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 - [c206]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 - [i155]Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba:
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. CoRR abs/2301.05223 (2023) - [i154]Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, Stefanie Jegelka:
Debiasing Vision-Language Models via Biased Prompts. CoRR abs/2302.00070 (2023) - [i153]Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, 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. CoRR abs/2302.07241 (2023) - [i152]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 abs/2303.02346 (2023) - [i151]Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao:
Open-vocabulary Panoptic Segmentation with Embedding Modulation. CoRR abs/2303.11324 (2023) - [i150]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 abs/2303.11749 (2023) - [i149]Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan:
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. CoRR abs/2303.16897 (2023) - [i148]Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang:
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. CoRR abs/2304.01203 (2023) - [i147]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 abs/2304.09787 (2023) - [i146]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 abs/2304.11470 (2023) - [i145]George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Generalizing Dataset Distillation via Deep Generative Prior. CoRR abs/2305.01649 (2023) - [i144]Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch:
Improving Factuality and Reasoning in Language Models through Multiagent Debate. CoRR abs/2305.14325 (2023) - [i143]Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba:
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. CoRR abs/2306.05357 (2023) - [i142]Manel Baradad, Yuanzhen Li, Forrester Cole, Michael Rubinstein, Antonio Torralba, William T. Freeman, Varun Jampani:
Background Prompting for Improved Object Depth. CoRR abs/2306.05428 (2023) - [i141]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 abs/2307.07487 (2023) - [i140]Sarah Schwettmann, Neil Chowdhury, Antonio Torralba:
Multimodal Neurons in Pretrained Text-Only Transformers. CoRR abs/2308.01544 (2023) - [i139]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 abs/2308.05737 (2023) - [i138]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 abs/2309.03886 (2023) - [i137]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 abs/2309.16650 (2023) - [i136]Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau:
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models. CoRR abs/2311.12092 (2023) - [i135]Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan C. Russell:
Customizing Motion in Text-to-Video Diffusion Models. CoRR abs/2312.04966 (2023) - [i134]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 abs/2312.13763 (2023) - 2022
- [c205]Pratyusha Sharma, Antonio Torralba, Jacob Andreas:
Skill Induction and Planning with Latent Language. ACL (1) 2022: 1713-1726 - [c204]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: 1403-1413 - [c203]George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation. CVPR Workshops 2022: 2277-2281 - [c202]George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Dataset Distillation by Matching Training Trajectories. CVPR Workshops 2022: 4749-4758 - [c201]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: 10513-10523 - [c200]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: 10620-10630 - [c199]George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Dataset Distillation by Matching Training Trajectories. CVPR 2022: 10708-10717 - [c198]William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman:
GAN-Supervised Dense Visual Alignment. CVPR 2022: 13460-13471 - [c197]Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba:
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CVPR 2022: 15903-15913 - [c196]Joanna Materzynska, Antonio Torralba, David Bau:
Disentangling visual and written concepts in CLIP. CVPR 2022: 16389-16398 - [c195]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: 16538-16548 - [c194]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: 16649-16660 - [c193]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: 18973-18990 - [c192]Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Sanja Fidler, Antonio Torralba:
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. CVPR 2022: 21298-21308 - [c191]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: 164-180 - [c190]Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba:
MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning. ECCV (27) 2022: 304-321 - [c189]Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum:
Compositional Visual Generation with Composable Diffusion Models. ECCV (17) 2022: 423-439 - [c188]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 - [c187]Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas:
Natural Language Descriptions of Deep Visual Features. ICLR 2022 - [c186]Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian:
Denoised MDPs: Learning World Models Better Than the World Itself. ICML 2022: 22591-22612 - [c185]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: 8847-8854 - [c184]Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum:
Noisy Agents: Self-supervised Exploration by Predicting Auditory Events. IROS 2022: 9259-9265 - [c183]Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola:
Procedural Image Programs for Representation Learning. NeurIPS 2022 - [c182]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 - [c181]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 - [c180]Andrew F. Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan:
Learning Neural Acoustic Fields. NeurIPS 2022 - [c179]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 - [i133]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 abs/2201.04236 (2022) - [i132]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 abs/2201.04309 (2022) - [i131]Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Adela Barriuso, Sanja Fidler, Antonio Torralba:
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. CoRR abs/2201.04684 (2022) - [i130]Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas:
Natural Language Descriptions of Deep Visual Features. CoRR abs/2201.11114 (2022) - [i129]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. CoRR abs/2202.01771 (2022) - [i128]George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Dataset Distillation by Matching Training Trajectories. CoRR abs/2203.11932 (2022) - [i127]Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko, Kuan Wei Huang, Ferda Ofli, Antonio Torralba:
Learning Program Representations for Food Images and Cooking Recipes. CoRR abs/2203.16071 (2022) - [i126]Andrew F. Luo, Yilun Du, Michael J. Tarr, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan:
Learning Neural Acoustic Fields. CoRR abs/2204.00628 (2022) - [i125]Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox:
Correcting Robot Plans with Natural Language Feedback. CoRR abs/2204.05186 (2022) - [i124]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 abs/2205.01089 (2022) - [i123]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 abs/2205.02834 (2022) - [i122]Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum:
Compositional Visual Generation with Composable Diffusion Models. CoRR abs/2206.01714 (2022) - [i121]Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler:
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. CoRR abs/2206.02903 (2022) - [i120]Joanna Materzynska, Antonio Torralba, David Bau:
Disentangling visual and written concepts in CLIP. CoRR abs/2206.07835 (2022) - [i119]Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba:
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CoRR abs/2206.08365 (2022) - [i118]Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian:
Denoised MDPs: Learning World Models Better Than the World Itself. CoRR abs/2206.15477 (2022) - [i117]Audrey Cui, Ali Jahanian, Àgata Lapedriza, Antonio Torralba, Shahin Mahdizadehaghdam, Rohit Kumar, David Bau:
Local Relighting of Real Scenes. CoRR abs/2207.02774 (2022) - [i116]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 abs/2207.03483 (2022) - [i115]Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba:
Totems: Physical Objects for Verifying Visual Integrity. CoRR abs/2209.13032 (2022) - [i114]Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch:
Composing Ensembles of Pre-trained Models via Iterative Consensus. CoRR abs/2210.11522 (2022) - [i113]Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim:
BT2: Backward-compatible Training with Basis Transformation. CoRR abs/2211.03989 (2022) - [i112]Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola:
Procedural Image Programs for Representation Learning. CoRR abs/2211.16412 (2022) - [i111]Adrián Rodríguez-Muñoz, Antonio Torralba:
Aliasing is a Driver of Adversarial Attacks. CoRR abs/2212.11760 (2022) - 2021
- [j41]Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba:
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 187-203 (2021) - [c178]Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba:
3D Neural Scene Representations for Visuomotor Control. CoRL 2021: 112-123 - [c177]Seung Wook Kim, Jonah Philion, Antonio Torralba, Sanja Fidler:
DriveGAN: Towards a Controllable High-Quality Neural Simulation. CVPR 2021: 5820-5829 - [c176]Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler:
Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. CVPR 2021: 8300-8311 - [c175]