Torralba, Antonio

194 publications

ICLR 2025 Adaptive Length Image Tokenization via Recurrent Allocation Shivam Duggal, Phillip Isola, Antonio Torralba, William T. Freeman

ICLRW 2025 Adaptive Length Image Tokenization via Recurrent Allocation Shivam Duggal, Phillip Isola, Antonio Torralba, William T. Freeman

NeurIPS 2025 Ambient Diffusion Omni: Training Good Models with Bad Data Giannis Daras, Adrian Rodriguez-Munoz, Adam Klivans, Antonio Torralba, Constantinos Costis Daskalakis

NeurIPS 2025 Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent Christy Li, Josep Lopez Camuñas, Jake Thomas Touchet, Jacob Andreas, Agata Lapedriza, Antonio Torralba, Tamar Rott Shaham

NeurIPS 2025 Dataset Distillation for Pre-Trained Self-Supervised Vision Models George Cazenavette, Antonio Torralba, Vincent Sitzmann

CVPR 2025 Eval3D: Interpretable and Fine-Grained Evaluation for 3D Generation Shivam Duggal, Yushi Hu, Oscar Michel, Aniruddha Kembhavi, William T. Freeman, Noah A. Smith, Ranjay Krishna, Antonio Torralba, Ali Farhadi, Wei-Chiu Ma

NeurIPS 2025 Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos Hanxue Liang, Jiawei Ren, Ashkan Mirzaei, Antonio Torralba, Ziwei Liu, Igor Gilitschenski, Sanja Fidler, Cengiz Oztireli, Huan Ling, Zan Gojcic, Jiahui Huang

NeurIPS 2025 LoRA vs Full Fine-Tuning: An Illusion of Equivalence Reece S Shuttleworth, Jacob Andreas, Antonio Torralba, Pratyusha Sharma

ICCV 2025 MultiModal Action Conditioned Video Simulation Yichen Li, Antonio Torralba

ICLR 2025 Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch

ICML 2025 Separating Knowledge and Perception with Procedural Data Adrian Rodriguez-Munoz, Manel Baradad, Phillip Isola, Antonio Torralba

NeurIPS 2025 Single-Pass Adaptive Image Tokenization for Minimum Program Search Shivam Duggal, Sanghyun Byun, William T. Freeman, Antonio Torralba, Phillip Isola

CVPR 2025 SketchAgent: Language-Driven Sequential Sketch Generation Yael Vinker, Tamar Rott Shaham, Kristine Zheng, Alex Zhao, Judith E Fan, Antonio Torralba

ICML 2024 A Multimodal Automated Interpretability Agent Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba

CVPR 2024 A Vision Check-up for Language Models Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrian Rodriguez-Munoz, Shivam Duggal, Phillip Isola, Antonio Torralba

CVPR 2024 Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models Huan Ling, Seung Wook Kim, Antonio Torralba, Sanja Fidler, Karsten Kreis

ECCV 2024 Characterizing Model Robustness via Natural Input Gradients Adrian Rodriguez-Munoz, Tongzhou Wang, Antonio Torralba

ECCV 2024 Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau

ICML 2024 Improving Factuality and Reasoning in Language Models Through Multiagent Debate Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch

NeurIPS 2024 L4GM: Large 4D Gaussian Reconstruction Model Jiawei Ren, Kevin Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, Huan Ling

ECCV 2024 LATTE3D: Large-Scale Amortized Text-to-Enhanced3D Synthesis Kevin Xie, Tianshi Cao, Jonathan P Lorraine, Jun Gao, James R Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng

ICLR 2024 Learning to Jointly Understand Visual and Tactile Signals Yichen Li, Yilun Du, Chao Liu, Chao Liu, Francis Williams, Michael Foshey, Benjamin Eckart, Jan Kautz, Joshua B. Tenenbaum, Antonio Torralba, Wojciech Matusik

ICMLW 2024 Towards Efficient Large-Scale Language-3D Representation Learning Shentong Mo, Xiaogang Xu, Tongzhou Wang, Antonio Torralba, Shuang Li

NeurIPS 2023 3D-IntPhys: Towards More Generalized 3D-Grounded Visual Intuitive Physics Under Challenging Scenes Haotian Xue, Antonio Torralba, Josh Tenenbaum, Dan Yamins, Yunzhu Li, Hsiao-Yu Tung

CVPRW 2023 3D-IntPhys: Towards More Generalized 3D-Grounded Visual Intuitive Physics Under Challenging Scenes Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel Yamins, Yunzhu Li, Hsiao-Yu Tung

ICCV 2023 BT^2: Backward-Compatible Training with Basis Transformation Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Taipeng Tian, Ser-Nam Lim

ICLR 2023 Composing Ensembles of Pre-Trained Models via Iterative Consensus Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch

CVPR 2023 Detecting Everything in the Open World: Towards Universal Object Detection Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao, Shengjin Wang

ICCV 2023 DreamTeacher: Pretraining Image Backbones with Deep Generative Models Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler

NeurIPS 2023 FIND: A Function Description Benchmark for Evaluating Interpretability Methods Sarah Schwettmann, Tamar Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba

ICLR 2023 FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan

CVPR 2023 Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

NeurIPSW 2023 MMToM-QA: Multimodal Theory of Mind Question Answering Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu

ICCVW 2023 Multimodal Neurons in Pretrained Text-Only Transformers Sarah Schwettmann, Neil Chowdhury, Samuel Klein, David Bau, Antonio Torralba

CVPR 2023 NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler

ICCV 2023 Open-Vocabulary Panoptic Segmentation with Embedding Modulation Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao

ICML 2023 Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang

CVPR 2023 Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan

NeurIPS 2023 Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang

ICCV 2023 Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba

NeurIPS 2022 ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment Joseph DelPreto, Chao Liu, Yiyue Luo, Michael Foshey, Yunzhu Li, Antonio Torralba, Wojciech Matusik, Daniela Rus

CVPR 2022 BigDatasetGAN: Synthesizing ImageNet with Pixel-Wise Annotations Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Sanja Fidler, Antonio Torralba

ICLR 2022 ComPhy: Compositional Physical Reasoning of Objects and Events from Videos Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan

ECCV 2022 Compositional Visual Generation with Composable Diffusion Models Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum

CVPR 2022 Dataset Distillation by Matching Training Trajectories George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

CVPRW 2022 Dataset Distillation by Matching Training Trajectories George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

ICML 2022 Denoised MDPs: Learning World Models Better than the World Itself Tongzhou Wang, Simon Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian

CVPR 2022 Disentangling Visual and Written Concepts in CLIP Joanna Materzyńska, Antonio Torralba, David Bau

CVPR 2022 Ego4D: Around the World in 3,000 Hours of Egocentric Video 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 Kolář, 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, 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 Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

CVPR 2022 Finding Fallen Objects via Asynchronous Audio-Visual Integration Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba

CVPR 2022 Fixing Malfunctional Objects with Learned Physical Simulation and Functional Prediction Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan

CVPR 2022 GAN-Supervised Dense Visual Alignment William Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman

NeurIPS 2022 Learning Neural Acoustic Fields Andrew Luo, Yilun Du, Michael Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan

CVPR 2022 Learning Program Representations for Food Images and Cooking Recipes Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko, Kuan Wei Huang, Ferda Ofli, Antonio Torralba

ECCV 2022 MTFormer: Multi-Task Learning via Transformer and Cross-Task Reasoning Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba

ICLR 2022 Natural Language Descriptions of Deep Visual Features Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas

CVPR 2022 Polymorphic-GAN: Generating Aligned Samples Across Multiple Domains with Learned Morph Maps Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler

NeurIPS 2022 Pre-Trained Language Models for Interactive Decision-Making 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

NeurIPS 2022 Procedural Image Programs for Representation Learning Manel Baradad, Richard Chen, Jonas Wulff, Tongzhou Wang, Rogerio Feris, Antonio Torralba, Phillip Isola

CVPR 2022 Robust Contrastive Learning Against Noisy Views Ching-Yao Chuang, R Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song

ECCV 2022 Totems: Physical Objects for Verifying Visual Integrity Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba

CVPR 2022 Virtual Correspondence: Humans as a Cue for Extreme-View Geometry Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba

CVPRW 2022 Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

CoRL 2021 3D Neural Scene Representations for Visuomotor Control Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba

ICCV 2021 BARF: Bundle-Adjusting Neural Radiance Fields Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey

CVPR 2021 DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler

CVPR 2021 DriveGAN: Towards a Controllable High-Quality Neural Simulation Seung Wook Kim, Jonah Philion, Antonio Torralba, Sanja Fidler

NeurIPS 2021 EditGAN: High-Precision Semantic Image Editing Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler

NeurIPS 2021 Editing a Classifier by Rewriting Its Prediction Rules Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry

ICLR 2021 Image GANs Meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler

CVPR 2021 Intelligent Carpet: Inferring 3D Human Pose from Tactile Signals Yiyue Luo, Yunzhu Li, Michael Foshey, Wan Shou, Pratyusha Sharma, Tomas Palacios, Antonio Torralba, Wojciech Matusik

NeurIPS 2021 Learning to Compose Visual Relations Nan Liu, Shuang Li, Yilun Du, Josh Tenenbaum, Antonio Torralba

NeurIPS 2021 Learning to See by Looking at Noise Manel Baradad Jurjo, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba

NeurIPS 2021 Measuring Generalization with Optimal Transport Ching-Yao Chuang, Youssef Mroueh, Kristjan Greenewald, Antonio Torralba, Stefanie Jegelka

NeurIPS 2021 PTR: A Benchmark for Part-Based Conceptual, Relational, and Physical Reasoning Yining Hong, Li Yi, Josh Tenenbaum, Antonio Torralba, Chuang Gan

ICCV 2021 Scaling up Instance Annotation via Label Propagation Dim P. Papadopoulos, Ethan Weber, Antonio Torralba

CVPR 2021 Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler

ICCV 2021 Toward a Visual Concept Vocabulary for GAN Latent Space Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba

ICLR 2021 Watch-and-Help: A Challenge for Social Perception and Human-AI Collaboration Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba

ICCV 2021 Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan Russell

ICCV 2021 What You Can Learn by Staring at a Blank Wall Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand

ICLR 2020 CLEVRER: CoLlision Events for Video REpresentation and Reasoning Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum

NeurIPS 2020 Causal Discovery in Physical Systems from Videos Yunzhu Li, Antonio Torralba, Anima Anandkumar, Dieter Fox, Animesh Garg

NeurIPS 2020 Debiased Contrastive Learning Ching-Yao Chuang, Joshua W. Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka

ICLR 2020 Deep Audio Priors Emerge from Harmonic Convolutional Networks Zhoutong Zhang, Yunyun Wang, Chuang Gan, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman

ECCV 2020 Deep Feedback Inverse Problem Solver Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun

ECCV 2020 Detecting Natural Disasters, Damage, and Incidents in the Wild Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Agata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba

ICML 2020 Estimating Generalization Under Distribution Shifts via Domain-Invariant Representations Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka

ECCV 2020 Foley Music: Learning to Generate Music from Videos Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba

ICLR 2020 Learning Compositional Koopman Operators for Model-Based Control Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba

ECCV 2020 Rewriting a Deep Generative Model David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba

ECCV 2020 The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement William Peebles, John Peebles, Jun-Yan Zhu, Alexei Efros, Antonio Torralba

ICML 2020 Visual Grounding of Learned Physical Models Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel Yamins, Jiajun Wu, Joshua Tenenbaum, Antonio Torralba

ICLR 2019 GAN Dissection: Visualizing and Understanding Generative Adversarial Networks David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba

CVPRW 2019 Grounding Spoken Words in Unlabeled Video Angie W. Boggust, Kartik Audhkhasi, Dhiraj Joshi, David Harwath, Samuel Thomas, Rogério Schmidt Feris, Danny Gutfreund, Yang Zhang, Antonio Torralba, Michael Picheny, James R. Glass

ICLR 2019 Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba

CVPRW 2019 Self-Supervised Segmentation and Source Separation on Videos Andrew Rouditchenko, Hang Zhao, Chuang Gan, Josh H. McDermott, Antonio Torralba

ICMLW 2019 The Role of Embedding Complexity in Domain-Invariant Representations Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka

ICLRW 2019 Visualizing and Understanding GANs David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba

NeurIPS 2018 3D-Aware Scene Manipulation via Inverse Graphics Shunyu Yao, Tzu Ming Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, Bill Freeman, Josh Tenenbaum

ECCV 2018 Interpretable Basis Decomposition for Visual Explanation Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba

ECCV 2018 Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input David Harwath, Adria Recasens, Didac Suris, Galen Chuang, Antonio Torralba, James Glass

ECCV 2018 Learning to Zoom: A Saliency-Based Sampling Layer for Neural Networks Adria Recasens, Petr Kellnhofer, Simon Stent, Wojciech Matusik, Antonio Torralba

NeurIPS 2018 Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Josh Tenenbaum

ECCV 2018 Single Image Intrinsic Decomposition Without a Single Intrinsic Image Wei-Chiu Ma, Hang Chu, Bolei Zhou, Raquel Urtasun, Antonio Torralba

ECCV 2018 Temporal Relational Reasoning in Videos Bolei Zhou, Alex Andonian, Aude Oliva, Antonio Torralba

ECCV 2018 The Sound of Pixels Hang Zhao, Chuang Gan, Andrew Rouditchenko, Carl Vondrick, Josh McDermott, Antonio Torralba

NeurIPS 2018 Visual Object Networks: Image Generation with Disentangled 3D Representations Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, Bill Freeman

ICLR 2017 A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum

ICCV 2017 Following Gaze in Video Adria Recasens, Carl Vondrick, Aditya Khosla, Antonio Torralba

CVPR 2017 Generating the Future with Adversarial Transformers Carl Vondrick, Antonio Torralba

CVPR 2017 Learning Cross-Modal Embeddings for Cooking Recipes and Food Images Amaia Salvador, Nicholas Hynes, Yusuf Aytar, Javier Marin, Ferda Ofli, Ingmar Weber, Antonio Torralba

CVPR 2017 Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba

ICCV 2017 Open Vocabulary Scene Parsing Hang Zhao, Xavier Puig, Bolei Zhou, Sanja Fidler, Antonio Torralba

CVPR 2017 Scene Parsing Through ADE20K Dataset Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, Antonio Torralba

ICCV 2017 Turning Corners into Cameras: Principles and Methods Katherine L. Bouman, Vickie Ye, Adam B. Yedidia, Fredo Durand, Gregory W. Wornell, Antonio Torralba, William T. Freeman

ECCV 2016 Ambient Sound Provides Supervision for Visual Learning Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba

CVPR 2016 Anticipating Visual Representations from Unlabeled Video Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

CVPR 2016 Eye Tracking for Everyone Kyle Krafka, Aditya Khosla, Petr Kellnhofer, Harini Kannan, Suchendra Bhandarkar, Wojciech Matusik, Antonio Torralba

NeurIPS 2016 Generating Videos with Scene Dynamics Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

CVPR 2016 Learning Aligned Cross-Modal Representations from Weakly Aligned Data Lluis Castrejon, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

CVPR 2016 Learning Deep Features for Discriminative Localization Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba

CVPR 2016 MovieQA: Understanding Stories in Movies Through Question-Answering Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, Sanja Fidler

CVPR 2016 Predicting Motivations of Actions by Leveraging Text Carl Vondrick, Deniz Oktay, Hamed Pirsiavash, Antonio Torralba

ECCV 2016 Single Image 3D Interpreter Network Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman

NeurIPS 2016 SoundNet: Learning Sound Representations from Unlabeled Video Yusuf Aytar, Carl Vondrick, Antonio Torralba

NeurIPS 2016 Unsupervised Learning of Spoken Language with Visual Context David Harwath, Antonio Torralba, James Glass

CVPR 2016 Visually Indicated Sounds Andrew Owens, Phillip Isola, Josh McDermott, Antonio Torralba, Edward H. Adelson, William T. Freeman

ECCV 2016 Where Should Saliency Models Look Next? Zoya Bylinskii, Adrià Recasens, Ali Borji, Aude Oliva, Antonio Torralba, Frédo Durand

ICCV 2015 Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books Yukun Zhu, Ryan Kiros, Rich Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler

NeurIPS 2015 Learning Visual Biases from Human Imagination Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba

ICLR 2015 Object Detectors Emerge in Deep Scene CNNs Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba

NeurIPS 2015 Skip-Thought Vectors Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, Sanja Fidler

ICCV 2015 Understanding and Predicting Image Memorability at a Large Scale Aditya Khosla, Akhil S. Raju, Antonio Torralba, Aude Oliva

NeurIPS 2015 Where Are They Looking? Adria Recasens, Aditya Khosla, Carl Vondrick, Antonio Torralba

ECCV 2014 Assessing the Quality of Actions Hamed Pirsiavash, Carl Vondrick, Antonio Torralba

ECCV 2014 FPM: Fine Pose Parts-Based Model with 3D CAD Models Joseph J. Lim, Aditya Khosla, Antonio Torralba

NeurIPS 2014 Learning Deep Features for Scene Recognition Using Places Database Bolei Zhou, Agata Lapedriza, Jianxiong Xiao, Antonio Torralba, Aude Oliva

CVPR 2014 Looking Beyond the Visible Scene Aditya Khosla, Byoungkwon An An, Joseph J. Lim, Antonio Torralba

ECCV 2014 Recognizing City Identity via Attribute Analysis of Geo-Tagged Images Bolei Zhou, Liu Liu, Aude Oliva, Antonio Torralba

WACV 2014 Unsupervised Non-Parametric Geospatial Modeling from Ground Imagery Nathan Frey, Antonio Torralba, Christopher Stauffer

ICCV 2013 HOGgles: Visualizing Object Detection Features Carl Vondrick, Aditya Khosla, Tomasz Malisiewicz, Antonio Torralba

ICCV 2013 Modifying the Memorability of Face Photographs Aditya Khosla, Wilma A. Bainbridge, Antonio Torralba, Aude Oliva

ICCV 2013 Parsing IKEA Objects: Fine Pose Estimation Joseph J. Lim, Hamed Pirsiavash, Antonio Torralba

ICCV 2013 SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels Jianxiong Xiao, Andrew Owens, Antonio Torralba

ICCV 2013 Shape Anchors for Data-Driven Multi-View Reconstruction Andrew Owens, Jianxiong Xiao, Antonio Torralba, William Freeman

CVPR 2012 Accidental Pinhole and Pinspeck Cameras: Revealing the Scene Outside the Picture Antonio Torralba, William T. Freeman

NeurIPS 2012 Localizing 3D Cuboids in Single-View Images Jianxiong Xiao, Bryan Russell, Antonio Torralba

NeurIPS 2012 Memorability of Image Regions Aditya Khosla, Jianxiong Xiao, Antonio Torralba, Aude Oliva

ECCV 2012 Multidimensional Spectral Hashing Yair Weiss, Rob Fergus, Antonio Torralba

CVPR 2012 Recognizing Scene Viewpoint Using Panoramic Place Representation Jianxiong Xiao, Krista A. Ehinger, Aude Oliva, Antonio Torralba

ECCV 2012 Undoing the Damage of Dataset Bias Aditya Khosla, Tinghui Zhou, Tomasz Malisiewicz, Alexei A. Efros, Antonio Torralba

CVPR 2011 A Large-Scale Benchmark Dataset for Event Recognition in Surveillance Video Sangmin Oh, Anthony Hoogs, A. G. Amitha Perera, Naresh P. Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry S. Davis, Eran Swears, Xiaoyang Wang, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy-Chowdhury, Mita Desai

ICCV 2011 Evaluation of Image Features Using a Photorealistic Virtual World Biliana Kaneva, Antonio Torralba, William T. Freeman

NeurIPS 2011 Learning to Learn with Compound HD Models Antonio Torralba, Joshua B. Tenenbaum, Ruslan Salakhutdinov

CVPR 2011 Learning to Share Visual Appearance for Multiclass Object Detection Ruslan Salakhutdinov, Antonio Torralba, Joshua B. Tenenbaum

NeurIPS 2011 Transfer Learning by Borrowing Examples for Multiclass Object Detection Joseph J. Lim, Ruslan Salakhutdinov, Antonio Torralba

CVPR 2011 Unbiased Look at Dataset Bias Antonio Torralba, Alexei A. Efros

NeurIPS 2011 Understanding the Intrinsic Memorability of Images Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva

CVPR 2011 What Makes an Image Memorable? Phillip Isola, Jianxiong Xiao, Antonio Torralba, Aude Oliva

ECCV 2010 A Data-Driven Approach for Event Prediction Jenny Yuen, Antonio Torralba

CVPR 2010 Exploiting Hierarchical Context on a Large Database of Object Categories Myung Jin Choi, Joseph J. Lim, Antonio Torralba, Alan S. Willsky

ECCV 2010 Modeling and Analysis of Dynamic Behaviors of Web Image Collections Gunhee Kim, Eric P. Xing, Antonio Torralba

CVPR 2010 Part and Appearance Sharing: Recursive Compositional Models for Multi-View Long Zhu, Yuanhao Chen, Antonio Torralba, William T. Freeman, Alan L. Yuille

CVPR 2010 SUN Database: Large-Scale Scene Recognition from Abbey to Zoo Jianxiong Xiao, James Hays, Krista A. Ehinger, Aude Oliva, Antonio Torralba

ECCV 2010 Semantic Label Sharing for Learning with Many Categories Robert Fergus, Hector Bernal, Yair Weiss, Antonio Torralba

CVPR 2009 Building a Database of 3D Scenes from User Annotations Bryan C. Russell, Antonio Torralba

ICCV 2009 LabelMe Video: Building a Video Database with Human Annotations Jenny Yuen, Bryan C. Russell, Ce Liu, Antonio Torralba

ICCV 2009 Learning to Predict Where Humans Look Tilke Judd, Krista A. Ehinger, Frédo Durand, Antonio Torralba

NeurIPS 2009 Nonparametric Bayesian Texture Learning and Synthesis Long Zhu, Yuanahao Chen, Bill Freeman, Antonio Torralba

CVPR 2009 Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment Ce Liu, Jenny Yuen, Antonio Torralba

CVPR 2009 Recognizing Indoor Scenes Ariadna Quattoni, Antonio Torralba

NeurIPS 2009 Semi-Supervised Learning in Gigantic Image Collections Rob Fergus, Yair Weiss, Antonio Torralba

NeurIPS 2009 Unsupervised Detection of Regions of Interest Using Iterative Link Analysis Gunhee Kim, Antonio Torralba

CVPRW 2008 Creating and Exploring a Large Photorealistic Virtual Space Josef Sivic, Biliana Kaneva, Antonio Torralba, Shai Avidan, William T. Freeman

ECCV 2008 SIFT Flow: Dense Correspondence Across Different Scenes Ce Liu, Jenny Yuen, Antonio Torralba, Josef Sivic, William T. Freeman

CVPR 2008 Small Codes and Large Image Databases for Recognition Antonio Torralba, Robert Fergus, Yair Weiss

NeurIPS 2008 Spectral Hashing Yair Weiss, Antonio Torralba, Rob Fergus

NeurIPS 2007 Object Recognition by Scene Alignment Bryan Russell, Antonio Torralba, Ce Liu, Rob Fergus, William T. Freeman

CVPR 2006 Depth from Familiar Objects: A Hierarchical Model for 3D Scenes Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky

ICCV 2005 An Ensemble Prior of Image Structure for Cross-Modal Inference Srinivas Ravela, Antonio Torralba, William T. Freeman

NeurIPS 2005 Describing Visual Scenes Using Transformed Dirichlet Processes Antonio Torralba, Alan S. Willsky, Erik B. Sudderth, William T. Freeman

CVPR 2005 Human Learning of Contextual Priors for Object Search: Where Does the Time Go? Barbara Hidalgo-Sotelo, Aude Oliva, Antonio Torralba

CVPRW 2005 Human Learning of Contextual Priors for Object Search: Where Does the Time Go? Barbara Hidalgo-Sotelo, Aude Oliva, Antonio Torralba

ICCV 2005 Learning Hierarchical Models of Scenes, Objects, and Parts Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky

NeurIPS 2004 Contextual Models for Object Detection Using Boosted Random Fields Antonio Torralba, Kevin P. Murphy, William T. Freeman

CVPR 2004 Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection Antonio Torralba, Kevin P. Murphy, William T. Freeman

ICCV 2003 Context-Based Vision System for Place and Object Recognition Antonio Torralba, Kevin P. Murphy, William T. Freeman, Mark A. Rubin

CVPR 2003 Properties and Applications of Shape Recipes Antonio Torralba, William T. Freeman

NeurIPS 2003 Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes Kevin P. Murphy, Antonio Torralba, William T. Freeman

NeurIPS 2002 Shape Recipes: Scene Representations That Refer to the Image William T. Freeman, Antonio Torralba

NeurIPS 2001 Contextual Modulation of Target Saliency Antonio Torralba

ICCV 2001 Statistical Context Priming for Object Detection Antonio Torralba, Pawan Sinha

ICCV 1999 Semantic Organization of Scenes Using Discriminant Structural Templates Antonio Torralba, Aude Oliva