Semantic Organization of Scenes using Discriminant Structural Templates. - Antonio Torralba 001; Aude Oliva (ICCV, 1999)

Statistical Context Priming for Object Detection. - Antonio Torralba 001; Pawan Sinha (ICCV, 2001)

Contextual Modulation of Target Saliency. - Antonio Torralba 001 (NIPS, 2001)

Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope. - Aude Oliva; Antonio Torralba 001 (Int. J. Comput. Vis., 2001)

Scene-Centered Description from Spatial Envelope Properties. - Aude Oliva; Antonio Torralba 001 (Biologically Motivated Computer Vision, 2002)

Shape Recipes: Scene Representations that Refer to the Image. - William T. Freeman; Antonio Torralba 001 (NIPS, 2002)

Depth Estimation from Image Structure. - Antonio Torralba 001; Aude Oliva (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Properties and Applications of Shape Recipes. - Antonio Torralba 001; William T. Freeman (CVPR (2), 2003)

Context-based vision system for place and object recognition. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman; Mark A. Rubin (ICCV, 2003)

Top-down control of visual attention in object detection. - Aude Oliva; Antonio Torralba 001; Monica S. Castelhano; John M. Henderson (ICIP (1), 2003)

Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes. - Kevin P. Murphy; Antonio Torralba 001; William T. Freeman (NIPS, 2003)

Contextual Priming for Object Detection. - Antonio Torralba 001 (Int. J. Comput. Vis., 2003)

Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (CVPR (2), 2004)

Contextual Models for Object Detection Using Boosted Random Fields. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (NIPS, 2004)

Human Learning of Contextual Priors for Object Search: Where does the time go? - Barbara Hidalgo-Sotelo; Aude Oliva; Antonio Torralba 001 (CVPR Workshops, 2005)

An Ensemble Prior of Image Structure for Cross-Modal Inference. - Srinivas Ravela; Antonio Torralba 001; William T. Freeman (ICCV, 2005)

Learning Hierarchical Models of Scenes, Objects, and Parts. - Erik B. Sudderth; Antonio Torralba 001; William T. Freeman; Alan S. Willsky (ICCV, 2005)

Describing Visual Scenes using Transformed Dirichlet Processes. - Erik B. Sudderth; Antonio Torralba 001; William T. Freeman; Alan S. Willsky (NIPS, 2005)

Motion magnification. - Ce Liu 001; Antonio Torralba 001; William T. Freeman; Frédo Durand; Edward H. Adelson (ACM Trans. Graph., 2005)

Object Detection and Localization Using Local and Global Features. - Kevin P. Murphy; Antonio Torralba 001; Daniel Eaton; William T. Freeman (Toward Category-Level Object Recognition, 2006)

Dataset Issues in Object Recognition. - Jean Ponce; Tamara L. Berg; Mark Everingham; David A. Forsyth; Martial Hebert; Svetlana Lazebnik; Marcin Marszalek; Cordelia Schmid; Bryan C. Russell; Antonio Torralba 001; Christopher K. I. Williams; Jianguo Zhang 001; et al. (Toward Category-Level Object Recognition, 2006)

Shared Features for Multiclass Object Detection. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (Toward Category-Level Object Recognition, 2006)

Depth from Familiar Objects: A Hierarchical Model for 3D Scenes. - Erik B. Sudderth; Antonio Torralba 001; William T. Freeman; Alan S. Willsky (CVPR (2), 2006)

Hybrid images. - Aude Oliva; Antonio Torralba 001; Philippe G. Schyns (ACM Trans. Graph., 2006)

Object Recognition by Scene Alignment. - Bryan C. Russell; Antonio Torralba 001; Ce Liu 001; Robert Fergus; William T. Freeman (NIPS, 2007)

Sharing Visual Features for Multiclass and Multiview Object Detection. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Creating and exploring a large photorealistic virtual space. - Josef Sivic; Biliana Kaneva; Antonio Torralba 001; Shai Avidan; William T. Freeman (CVPR Workshops, 2008)

Small codes and large image databases for recognition. - Antonio Torralba 001; Robert Fergus; Yair Weiss (CVPR, 2008)

SIFT Flow: Dense Correspondence across Different Scenes. - Ce Liu 001; Jenny Yuen; Antonio Torralba 001; Josef Sivic; William T. Freeman (ECCV (3), 2008)

Spectral Hashing. - Yair Weiss; Antonio Torralba 001; Robert Fergus (NIPS, 2008)

LabelMe: A Database and Web-Based Tool for Image Annotation. - Bryan C. Russell; Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (Int. J. Comput. Vis., 2008)

Describing Visual Scenes Using Transformed Objects and Parts. - Erik B. Sudderth; Antonio Torralba 001; William T. Freeman; Alan S. Willsky (Int. J. Comput. Vis., 2008)

80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition. - Antonio Torralba 001; Robert Fergus; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Nonparametric scene parsing: Label transfer via dense scene alignment. - Ce Liu 001; Jenny Yuen; Antonio Torralba 001 (CVPR, 2009)

Recognizing indoor scenes. - Ariadna Quattoni; Antonio Torralba 001 (CVPR, 2009)

Building a database of 3D scenes from user annotations. - Bryan C. Russell; Antonio Torralba 001 (CVPR, 2009)

Learning to predict where humans look. - Tilke Judd; Krista A. Ehinger; Frédo Durand; Antonio Torralba 001 (ICCV, 2009)

LabelMe video: Building a video database with human annotations. - Jenny Yuen; Bryan C. Russell; Ce Liu 001; Antonio Torralba 001 (ICCV, 2009)

Semi-Supervised Learning in Gigantic Image Collections. - Rob Fergus; Yair Weiss; Antonio Torralba 001 (NIPS, 2009)

Unsupervised Detection of Regions of Interest Using Iterative Link Analysis. - Gunhee Kim; Antonio Torralba 001 (NIPS, 2009)

Nonparametric Bayesian Texture Learning and Synthesis. - Long Zhu; Yuanhao Chen; Bill Freeman; Antonio Torralba 001 (NIPS, 2009)

Guest Editors' Introduction to the Special Section on Probabilistic Graphical Models. - Qiang Ji; Jiebo Luo 001; Dimitris N. Metaxas; Antonio Torralba 001; Thomas S. Huang; Erik B. Sudderth (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Exploiting hierarchical context on a large database of object categories. - Myung Jin Choi; Joseph J. Lim; Antonio Torralba 001; Alan S. Willsky (CVPR, 2010)

SUN database: Large-scale scene recognition from abbey to zoo. - Jianxiong Xiao; James Hays; Krista A. Ehinger; Aude Oliva; Antonio Torralba 001 (CVPR, 2010)

Part and appearance sharing: Recursive Compositional Models for multi-view. - Long Zhu; Yuanhao Chen; Antonio Torralba 001; William T. Freeman; Alan L. Yuille (CVPR, 2010)

Semantic Label Sharing for Learning with Many Categories. - Robert Fergus; Hector Bernal; Yair Weiss; Antonio Torralba 001 (ECCV (1), 2010)

Modeling and Analysis of Dynamic Behaviors of Web Image Collections. - Gunhee Kim; Eric P. Xing; Antonio Torralba 001 (ECCV (5), 2010)

A Data-Driven Approach for Event Prediction. - Jenny Yuen; Antonio Torralba 001 (ECCV (2), 2010)

Using the forest to see the trees: exploiting context for visual object detection and localization. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (Commun. ACM, 2010)

Infinite Images: Creating and Exploring a Large Photorealistic Virtual Space. - Biliana Kaneva; Josef Sivic; Antonio Torralba 001; Shai Avidan; William T. Freeman (Proc. IEEE, 2010)

LabelMe: Online Image Annotation and Applications. - Antonio Torralba 001; Bryan C. Russell; Jenny Yuen (Proc. IEEE, 2010)

AVSS 2011 demo session: 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 001; et al. (AVSS, 2011)

Estimating scene typicality from human ratings and image features. - Krista A. Ehinger; Jianxiong Xiao; Antonio Torralba 001; Aude Oliva (CogSci, 2011)

What makes an image memorable? - Phillip Isola; Jianxiong Xiao; Antonio Torralba 001; Aude Oliva (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 001; et al. (CVPR, 2011)

Learning to share visual appearance for multiclass object detection. - Ruslan Salakhutdinov; Antonio Torralba 001; Joshua B. Tenenbaum (CVPR, 2011)

Unbiased look at dataset bias. - Antonio Torralba 001; Alexei A. Efros (CVPR, 2011)

Evaluation of image features using a photorealistic virtual world. - Biliana Kaneva; Antonio Torralba 001; William T. Freeman (ICCV, 2011)

Simultaneous detection and segmentation for generic objects. - Albert Torrent; Xavier Lladó; Jordi Freixenet; Antonio Torralba 001 (ICIP, 2011)

Understanding the Intrinsic Memorability of Images. - Phillip Isola; Devi Parikh; Antonio Torralba 001; Aude Oliva (NIPS, 2011)

Transfer Learning by Borrowing Examples for Multiclass Object Detection. - Joseph J. Lim; Ruslan Salakhutdinov; Antonio Torralba 001 (NIPS, 2011)

Learning to Learn with Compound HD Models. - Ruslan Salakhutdinov; Joshua B. Tenenbaum; Antonio Torralba 001 (NIPS, 2011)

SIFT Flow: Dense Correspondence across Scenes and Its Applications. - Ce Liu 001; Jenny Yuen; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Nonparametric Scene Parsing via Label Transfer. - Ce Liu 001; Jenny Yuen; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Recognizing scene viewpoint using panoramic place representation. - Jianxiong Xiao; Krista A. Ehinger; Aude Oliva; Antonio Torralba 001 (CVPR, 2012)

Undoing the Damage of Dataset Bias. - Aditya Khosla; Tinghui Zhou; Tomasz Malisiewicz; Alexei A. Efros; Antonio Torralba 001 (ECCV (1), 2012)

Multidimensional Spectral Hashing. - Yair Weiss; Rob Fergus; Antonio Torralba 001 (ECCV (5), 2012)

A Latent Variable Ranking Model for Content-Based Retrieval. - Ariadna Quattoni; Xavier Carreras; Antonio Torralba 001 (ECIR, 2012)

Memorability of Image Regions. - Aditya Khosla; Jianxiong Xiao; Antonio Torralba 001; Aude Oliva (NIPS, 2012)

Localizing 3D cuboids in single-view images. - Jianxiong Xiao; Bryan C. Russell; Antonio Torralba 001 (NIPS, 2012)

Image memorability and visual inception. - Aditya Khosla; Jianxiong Xiao; Phillip Isola; Antonio Torralba 001; Aude Oliva (SIGGRAPH Asia Technical Briefs, 2012)

Basic level scene understanding: from labels to structure and beyond. - Jianxiong Xiao; Bryan C. Russell; James Hays; Krista A. Ehinger; Aude Oliva; Antonio Torralba 001 (SIGGRAPH Asia Technical Briefs, 2012)

Notes on image annotation - Adela Barriuso; Antonio Torralba 001 (CoRR, 2012)

Inverting and Visualizing Features for Object Detection - Carl Vondrick; Aditya Khosla; Tomasz Malisiewicz; Antonio Torralba 001 (CoRR, 2012)

One-Shot Learning with a Hierarchical Nonparametric Bayesian Model. - Ruslan Salakhutdinov; Joshua B. Tenenbaum; Antonio Torralba 001 (ICML Unsupervised and Transfer Learning, 2012)

A Tree-Based Context Model for Object Recognition. - Myung Jin Choi; Antonio Torralba 001; Alan S. Willsky (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Context models and out-of-context objects. - Myung Jin Choi; Antonio Torralba 001; Alan S. Willsky (Pattern Recognit. Lett., 2012)

Modifying the Memorability of Face Photographs. - Aditya Khosla; Wilma A. Bainbridge; Antonio Torralba 001; Aude Oliva (ICCV, 2013)

Parsing IKEA Objects: Fine Pose Estimation. - Joseph J. Lim; Hamed Pirsiavash; Antonio Torralba 001 (ICCV, 2013)

Shape Anchors for Data-Driven Multi-view Reconstruction. - Andrew Owens; Jianxiong Xiao; Antonio Torralba 001; William T. Freeman (ICCV, 2013)

HOGgles: Visualizing Object Detection Features. - Carl Vondrick; Aditya Khosla; Tomasz Malisiewicz; Antonio Torralba 001 (ICCV, 2013)

SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels. - Jianxiong Xiao; Andrew Owens; Antonio Torralba 001 (ICCV, 2013)

Are all training examples equally valuable? - Àgata Lapedriza; Hamed Pirsiavash; Zoya Bylinskii; Antonio Torralba 001 (CoRR, 2013)

Learning with Hierarchical-Deep Models. - Ruslan Salakhutdinov; Joshua B. Tenenbaum; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

A boosting approach for the simultaneous detection and segmentation of generic objects. - Albert Torrent; Xavier Lladó; Jordi Freixenet; Antonio Torralba 001 (Pattern Recognit. Lett., 2013)

Looking Beyond the Visible Scene. - Aditya Khosla; Byoungkwon An; Joseph J. Lim; Antonio Torralba 001 (CVPR, 2014)

FPM: Fine Pose Parts-Based Model with 3D CAD Models. - Joseph J. Lim; Aditya Khosla; Antonio Torralba 001 (ECCV (6), 2014)

Assessing the Quality of Actions. - Hamed Pirsiavash; Carl Vondrick; Antonio Torralba 001 (ECCV (6), 2014)

Recognizing City Identity via Attribute Analysis of Geo-tagged Images. - Bolei Zhou; Liu Liu 018; Aude Oliva; Antonio Torralba 001 (ECCV (3), 2014)

Exemplar Network: A Generalized Mixture Model. - Chikao Tsuchiya; Tomasz Malisiewicz; Antonio Torralba 001 (ICPR, 2014)

Learning Deep Features for Scene Recognition using Places Database. - Bolei Zhou; Àgata Lapedriza; Jianxiong Xiao; Antonio Torralba 001; Aude Oliva (NIPS, 2014)

Unsupervised Non-parametric Geospatial Modeling from Ground Imagery. - Nathan Frey; Antonio Torralba 001; Christopher Stauffer (WACV, 2014)

Inferring the Why in Images. - Hamed Pirsiavash; Carl Vondrick; Antonio Torralba 001 (CoRR, 2014)

Acquiring Visual Classifiers from Human Imagination. - Carl Vondrick; Hamed Pirsiavash; Aude Oliva; Antonio Torralba 001 (CoRR, 2014)

Accidental Pinhole and Pinspeck Cameras - Revealing the Scene Outside the Picture. - Antonio Torralba 001; William T. Freeman (Int. J. Comput. Vis., 2014)

What Makes a Photograph Memorable? - Phillip Isola; Jianxiong Xiao; Devi Parikh; Antonio Torralba 001; Aude Oliva (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Understanding and Predicting Image Memorability at a Large Scale. - Aditya Khosla; Akhil S. Raju; Antonio Torralba 001; Aude Oliva (ICCV, 2015)

Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books. - Yukun Zhu; Ryan Kiros; Richard S. Zemel; Ruslan Salakhutdinov; Raquel Urtasun; Antonio Torralba 001; Sanja Fidler (ICCV, 2015)

Skip-Thought Vectors. - Ryan Kiros; Yukun Zhu; Ruslan Salakhutdinov; Richard S. Zemel; Raquel Urtasun; Antonio Torralba 001; Sanja Fidler (NIPS, 2015)

Where are they looking? - Adrià Recasens; Aditya Khosla; Carl Vondrick; Antonio Torralba 001 (NIPS, 2015)

Learning visual biases from human imagination. - Carl Vondrick; Hamed Pirsiavash; Aude Oliva; Antonio Torralba 001 (NIPS, 2015)

Anticipating the future by watching unlabeled video. - Carl Vondrick; Hamed Pirsiavash; Antonio Torralba 001 (CoRR, 2015)

Understanding Intra-Class Knowledge Inside CNN. - Donglai Wei 001; Bolei Zhou; Antonio Torralba 001; William T. Freeman (CoRR, 2015)

Object Detectors Emerge in Deep Scene CNNs. - Bolei Zhou; Aditya Khosla; Àgata Lapedriza; Aude Oliva; Antonio Torralba 001 (ICLR, 2015)

Learning Aligned Cross-Modal Representations from Weakly Aligned Data. - Lluís Castrejón; Yusuf Aytar; Carl Vondrick; Hamed Pirsiavash; Antonio Torralba 001 (CVPR, 2016)

Eye Tracking for Everyone. - Kyle Krafka; Aditya Khosla; Petr Kellnhofer; Harini Kannan; Suchendra M. Bhandarkar; Wojciech Matusik; Antonio Torralba 001 (CVPR, 2016)

Visually Indicated Sounds. - Andrew Owens; Phillip Isola; Josh H. McDermott; Antonio Torralba 001; Edward H. Adelson; William T. Freeman (CVPR, 2016)

MovieQA: Understanding Stories in Movies through Question-Answering. - Makarand Tapaswi; Yukun Zhu; Rainer Stiefelhagen; Antonio Torralba 001; Raquel Urtasun; Sanja Fidler (CVPR, 2016)

Predicting Motivations of Actions by Leveraging Text. - Carl Vondrick; Deniz Oktay; Hamed Pirsiavash; Antonio Torralba 001 (CVPR, 2016)

Anticipating Visual Representations from Unlabeled Video. - Carl Vondrick; Hamed Pirsiavash; Antonio Torralba 001 (CVPR, 2016)

Learning Deep Features for Discriminative Localization. - Bolei Zhou; Aditya Khosla; Àgata Lapedriza; Aude Oliva; Antonio Torralba 001 (CVPR, 2016)

Single Image 3D Interpreter Network. - Jiajun Wu 001; Tianfan Xue; Joseph J. Lim; Yuandong Tian; Joshua B. Tenenbaum; Antonio Torralba 001; William T. Freeman (ECCV (6), 2016)

Where Should Saliency Models Look Next? - Zoya Bylinskii; Adrià Recasens; Ali Borji; Aude Oliva; Antonio Torralba 001; Frédo Durand (ECCV (5), 2016)

Ambient Sound Provides Supervision for Visual Learning. - Andrew Owens; Jiajun Wu 001; Josh H. McDermott; William T. Freeman; Antonio Torralba 001 (ECCV (1), 2016)

SoundNet: Learning Sound Representations from Unlabeled Video. - Yusuf Aytar; Carl Vondrick; Antonio Torralba 001 (NIPS, 2016)

Unsupervised Learning of Spoken Language with Visual Context. - David F. Harwath; Antonio Torralba 001; James R. Glass (NIPS, 2016)

Generating Videos with Scene Dynamics. - Carl Vondrick; Hamed Pirsiavash; Antonio Torralba 001 (NIPS, 2016)

Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition. - Radoslaw Martin Cichy; Aditya Khosla; Dimitrios Pantazis; Antonio Torralba 001; Aude Oliva (CoRR, 2016)

Who is Mistaken? - Benjamin Eysenbach; Carl Vondrick; Antonio Torralba 001 (CoRR, 2016)

Following Gaze Across Views. - Adrià Recasens; Carl Vondrick; Aditya Khosla; Antonio Torralba 001 (CoRR, 2016)

Places: An Image Database for Deep Scene Understanding. - Bolei Zhou; Aditya Khosla; Àgata Lapedriza; Antonio Torralba 001; Aude Oliva (CoRR, 2016)

Semantic Understanding of Scenes through the ADE20K Dataset. - Bolei Zhou; Hang Zhao; Xavier Puig; Sanja Fidler; Adela Barriuso; Antonio Torralba 001 (CoRR, 2016)

Guest Editorial: Big Data. - Alyosha A. Efros; Antonio Torralba 001 (Int. J. Comput. Vis., 2016)

Visualizing Object Detection Features. - Carl Vondrick; Aditya Khosla; Hamed Pirsiavash; Tomasz Malisiewicz; Antonio Torralba 001 (Int. J. Comput. Vis., 2016)

SUN Database: Exploring a Large Collection of Scene Categories. - Jianxiong Xiao; Krista A. Ehinger; James Hays; Antonio Torralba 001; Aude Oliva (Int. J. Comput. Vis., 2016)

Benchmarking Convolutional Neural Networks for Object Segmentation and Pose Estimation. - Tiffany Le; Lei Hamilton; Antonio Torralba 001 (AIPR, 2017)

Network Dissection: Quantifying Interpretability of Deep Visual Representations. - David Bau; Bolei Zhou; Aditya Khosla; Aude Oliva; Antonio Torralba 001 (CVPR, 2017)

Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. - Amaia Salvador; Nicholas Hynes 002; Yusuf Aytar; Javier Marín; Ferda Ofli; Ingmar Weber; Antonio Torralba 001 (CVPR, 2017)

Generating the Future with Adversarial Transformers. - Carl Vondrick; Antonio Torralba 001 (CVPR, 2017)

Scene Parsing through ADE20K Dataset. - Bolei Zhou; Hang Zhao; Xavier Puig; Sanja Fidler; Adela Barriuso; Antonio Torralba 001 (CVPR, 2017)

Turning Corners into Cameras: Principles and Methods. - Katherine L. Bouman; Vickie Ye; Adam B. Yedidia; Frédo Durand; Gregory W. Wornell; Antonio Torralba 001; William T. Freeman (ICCV, 2017)

Following Gaze in Video. - Adrià Recasens; Carl Vondrick; Aditya Khosla; Antonio Torralba 001 (ICCV, 2017)

Open Vocabulary Scene Parsing. - Hang Zhao; Xavier Puig; Bolei Zhou; Sanja Fidler; Antonio Torralba 001 (ICCV, 2017)

A Compositional Object-Based Approach to Learning Physical Dynamics. - Michael Chang 003; Tomer D. Ullman; Antonio Torralba 001; Joshua B. Tenenbaum (ICLR (Poster), 2017)

Learning to See by Hearing. - Antonio Torralba 001 (ICPRAM, 2017)

Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media. - Enes Kocabey; Mustafa Camurcu; Ferda Ofli; Yusuf Aytar; Javier Marín; Antonio Torralba 001; Ingmar Weber (ICWSM, 2017)

SegICP: Integrated deep semantic segmentation and pose estimation. - Jay Ming Wong; Vincent Kee; Tiffany Le; Syler Wagner; Gian Luca Mariottini; Abraham Schneider; Lei Hamilton; Rahul Chipalkatty; Mitchell Hebert; David M. S. Johnson; Jimmy Wu; Bolei Zhou; et al. (IROS, 2017)

Is Saki #delicious?: The Food Perception Gap on Instagram and Its Relation to Health. - Ferda Ofli; Yusuf Aytar; Ingmar Weber; Raggi al Hammouri; Antonio Torralba 001 (WWW, 2017)

See, Hear, and Read: Deep Aligned Representations. - Yusuf Aytar; Carl Vondrick; Antonio Torralba 001 (CoRR, 2017)

Temporal Relational Reasoning in Videos. - Bolei Zhou; Alex Andonian; Antonio Torralba 001 (CoRR, 2017)

SLAC: A Sparsely Labeled Dataset for Action Classification and Localization. - Hang Zhao; Zhicheng Yan 001; Heng Wang; Lorenzo Torresani; Antonio Torralba 001 (CoRR, 2017)

Guest Editorial: Best of CVPR 2015. - Kristen Grauman; Erik G. Learned-Miller; Antonio Torralba 001; Andrew Zisserman (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Inferring Light Fields From Shadows. - Manel Baradad; Vickie Ye; Adam B. Yedidia; Frédo Durand; William T. Freeman; Gregory W. Wornell; Antonio Torralba 001 (CVPR, 2018)

Learning to Act Properly: Predicting and Explaining Affordances From Images. - Ching-Yao Chuang; Jiaman Li; Antonio Torralba 001; Sanja Fidler (CVPR, 2018)

VirtualHome: Simulating Household Activities via Programs. - Xavier Puig; Kevin Ra; Marko Boben; Jiaman Li; Tingwu Wang; Sanja Fidler; Antonio Torralba 001 (CVPR, 2018)

Through-Wall Human Pose Estimation Using Radio Signals. - Mingmin Zhao; Tianhong Li; Mohammad Abu Alsheikh; Yonglong Tian; Hang Zhao; Antonio Torralba 001; Dina Katabi (CVPR, 2018)

Single Image Intrinsic Decomposition Without a Single Intrinsic Image. - Wei-Chiu Ma; Hang Chu; Bolei Zhou; Raquel Urtasun; Antonio Torralba 001 (ECCV (14), 2018)

Learning to Zoom: A Saliency-Based Sampling Layer for Neural Networks. - Adrià Recasens; Petr Kellnhofer; Simon Stent; Wojciech Matusik; Antonio Torralba 001 (ECCV (9), 2018)

The Sound of Pixels. - Hang Zhao; Chuang Gan 001; Andrew Rouditchenko; Carl Vondrick; Josh H. McDermott; Antonio Torralba 001 (ECCV (1), 2018)

Temporal Relational Reasoning in Videos. - Bolei Zhou; Alex Andonian; Aude Oliva; Antonio Torralba 001 (ECCV (1), 2018)

Interpretable Basis Decomposition for Visual Explanation. - Bolei Zhou; Yiyou Sun; David Bau; Antonio Torralba 001 (ECCV (8), 2018)

Real-Time Object Pose Estimation with Pose Interpreter Networks. - Jimmy Wu; Bolei Zhou; Rebecca L. Russell; Vincent Kee; Syler Wagner; Mitchell Hebert; Antonio Torralba 001; David M. S. Johnson (IROS, 2018)

ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles. - Felix Naser; Igor Gilitschenski; Guy Rosman; Alexander Amini; Frédo Durand; Antonio Torralba 001; Gregory W. Wornell; William T. Freeman; Sertac Karaman; Daniela Rus (ITSC, 2018)

3D-Aware Scene Manipulation via Inverse Graphics. - Shunyu Yao; Tzu-Ming Harry Hsu; Jun-Yan Zhu; Jiajun Wu 001; Antonio Torralba 001; Bill Freeman; Josh Tenenbaum 001 (NeurIPS, 2018)

Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding. - Kexin Yi; Jiajun Wu 001; Chuang Gan 001; Antonio Torralba 001; Pushmeet Kohli; Josh Tenenbaum 001 (NeurIPS, 2018)

Visual Object Networks: Image Generation with Disentangled 3D Representations. - Jun-Yan Zhu; Zhoutong Zhang; Chengkai Zhang; Jiajun Wu 001; Antonio Torralba 001; Josh Tenenbaum 001; Bill Freeman (NeurIPS, 2018)

RF-based 3D skeletons. - Mingmin Zhao; Yonglong Tian; Hang Zhao; Mohammad Abu Alsheikh; Tianhong Li; Rumen Hristov; Zachary Kabelac; Dina Katabi; Antonio Torralba 001 (SIGCOMM, 2018)

Using Computer Vision to Study the Effects of BMI on Online Popularity and Weight-Based Homophily. - Enes Kocabey; Ferda Ofli; Javier Marín; Antonio Torralba 001; Ingmar Weber (SocInfo (2), 2018)

Revisiting the Importance of Individual Units in CNNs via Ablation. - Bolei Zhou; Yiyou Sun; David Bau; Antonio Torralba 001 (CoRR, 2018)

Dataset Distillation. - Tongzhou Wang 001; Jun-Yan Zhu; Antonio Torralba 001; Alexei A. Efros (CoRR, 2018)

Visual Object Networks: Image Generation with Disentangled 3D Representation. - Jun-Yan Zhu; Zhoutong Zhang; Chengkai Zhang; Jiajun Wu 001; Antonio Torralba 001; Joshua B. Tenenbaum; William T. Freeman (CoRR, 2018)

Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning. - Andrew Owens; Jiajun Wu 001; Josh H. McDermott; William T. Freeman; Antonio Torralba 001 (Int. J. Comput. Vis., 2018)

3D Interpreter Networks for Viewer-Centered Wireframe Modeling. - Jiajun Wu 001; Tianfan Xue; Joseph J. Lim; Yuandong Tian; Joshua B. Tenenbaum; Antonio Torralba 001; William T. Freeman (Int. J. Comput. Vis., 2018)

Cross-Modal Scene Networks. - Yusuf Aytar; Lluís Castrejón; Carl Vondrick; Hamed Pirsiavash; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Places: A 10 Million Image Database for Scene Recognition. - Bolei Zhou; Àgata Lapedriza; Aditya Khosla; Aude Oliva; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Exploiting Occlusion in Non-Line-of-Sight Active Imaging. - Christos Thrampoulidis; Gal Shulkind; Feihu Xu; William T. Freeman; Jeffrey H. Shapiro; Antonio Torralba 001; Franco N. C. Wong; Gregory W. Wornell (IEEE Trans. Computational Imaging, 2018)

Grounding Spoken Words in Unlabeled Video. - Angie W. Boggust; Kartik Audhkhasi; Dhiraj Joshi; David Harwath; Samuel Thomas 001; Rogério Schmidt Feris; Danny Gutfreund; Yang Zhang 001; Antonio Torralba 001; Michael Picheny; James R. Glass (CVPR Workshops, 2019)

Connecting Touch and Vision via Cross-Modal Prediction. - Yunzhu Li; Jun-Yan Zhu; Russ Tedrake; Antonio Torralba 001 (CVPR, 2019)

Synthesizing Environment-Aware Activities via Activity Sketches. - Yuan-Hong Liao; Xavier Puig; Marko Boben; Antonio Torralba 001; Sanja Fidler (CVPR, 2019)

How to Make a Pizza: Learning a Compositional Layer-Based GAN Model. - Dim P. Papadopoulos; Youssef Tamaazousti; Ferda Ofli; Ingmar Weber; Antonio Torralba 001 (CVPR, 2019)

Self-Supervised Segmentation and Source Separation on Videos. - Andrew Rouditchenko; Hang Zhao; Chuang Gan 001; Josh H. McDermott; Antonio Torralba 001 (CVPR Workshops, 2019)

Learning Words by Drawing Images. - Didac Suris; Adrià Recasens; David Bau; David Harwath; James R. Glass; Antonio Torralba 001 (CVPR, 2019)

Self-supervised Audio-visual Co-segmentation. - Andrew Rouditchenko; Hang Zhao; Chuang Gan 001; Josh H. McDermott; Antonio Torralba 001 (ICASSP, 2019)

Seeing What a GAN Cannot Generate. - David Bau; Jun-Yan Zhu; Jonas Wulff; William S. Peebles; Bolei Zhou; Hendrik Strobelt; Antonio Torralba 001 (ICCV, 2019)

Neural Turtle Graphics for Modeling City Road Layouts. - Hang Chu; Daiqing Li; David Acuna; Amlan Kar; Maria Shugrina; Xinkai Wei; Ming-Yu Liu 001; Antonio Torralba 001; Sanja Fidler (ICCV, 2019)

Self-Supervised Moving Vehicle Tracking With Stereo Sound. - Chuang Gan 001; Hang Zhao; Peihao Chen; David D. Cox; Antonio Torralba 001 (ICCV, 2019)

Meta-Sim: Learning to Generate Synthetic Datasets. - Amlan Kar; Aayush Prakash; Ming-Yu Liu 001; Eric Cameracci; Justin Yuan; Matt Rusiniak; David Acuna; Antonio Torralba 001; Sanja Fidler (ICCV, 2019)

Gaze360: Physically Unconstrained Gaze Estimation in the Wild. - Petr Kellnhofer; Adrià Recasens; Simon Stent; Wojciech Matusik; Antonio Torralba 001 (ICCV, 2019)

HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization. - Hang Zhao; Antonio Torralba 001; Lorenzo Torresani; Zhicheng Yan 001 (ICCV, 2019)

The Sound of Motions. - Hang Zhao; Chuang Gan 001; Wei-Chiu Ma; Antonio Torralba 001 (ICCV, 2019)

Through-Wall Human Mesh Recovery Using Radio Signals. - Mingmin Zhao; Yingcheng Liu; Aniruddh Raghu; Hang Zhao; Tianhong Li; Antonio Torralba 001; Dina Katabi (ICCV, 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 001 (ICLR (Poster), 2019)

Visualizing and Understanding GANs. - David Bau; Jun-Yan Zhu; Hendrik Strobelt; Bolei Zhou; Joshua B. Tenenbaum; William T. Freeman; Antonio Torralba 001 (DGS@ICLR, 2019)

Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids. - Yunzhu Li; Jiajun Wu 001; Russ Tedrake; Joshua B. Tenenbaum; Antonio Torralba 001 (ICLR (Poster), 2019)

Propagation Networks for Model-Based Control Under Partial Observation. - Yunzhu Li; Jiajun Wu 001; Jun-Yan Zhu; Joshua B. Tenenbaum; Antonio Torralba 001; Russ Tedrake (ICRA, 2019)

Visualizing and Understanding Generative Adversarial Networks (Extended Abstract). - David Bau; Jun-Yan Zhu; Hendrik Strobelt; Bolei Zhou; Joshua B. Tenenbaum; William T. Freeman; Antonio Torralba 001 (CoRR, 2019)

The Role of Embedding Complexity in Domain-invariant Representations. - Ching-Yao Chuang; Antonio Torralba 001; Stefanie Jegelka (CoRR, 2019)

Semantic Understanding of Scenes Through the ADE20K Dataset. - Bolei Zhou; Hang Zhao; Xavier Puig; Tete Xiao; Sanja Fidler; Adela Barriuso; Antonio Torralba 001 (Int. J. Comput. Vis., 2019)

Learning the signatures of the human grasp using a scalable tactile glove. - Subramanian Sundaram; Petr Kellnhofer; Yunzhu Li; Jun-Yan Zhu; Antonio Torralba 001; Wojciech Matusik (Nat., 2019)

What Do Different Evaluation Metrics Tell Us About Saliency Models? - Zoya Bylinskii; Tilke Judd; Aude Oliva; Antonio Torralba 001; Frédo Durand (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Interpreting Deep Visual Representations via Network Dissection. - Bolei Zhou; David Bau; Aude Oliva; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Semantic photo manipulation with a generative image prior. - David Bau; Hendrik Strobelt; William S. Peebles; Jonas Wulff; Bolei Zhou; Jun-Yan Zhu; Antonio Torralba 001 (ACM Trans. Graph., 2019)

Comparing the Interpretability of Deep Networks via Network Dissection. - Bolei Zhou; David Bau; Aude Oliva; Antonio Torralba 001 (Explainable AI, 2019)

Height and Uprightness Invariance for 3D Prediction From a Single View. - Manel Baradad; Antonio Torralba 001 (CVPR, 2020)

Music Gesture for Visual Sound Separation. - Chuang Gan 001; Deng Huang; Hang Zhao; Joshua B. Tenenbaum; Antonio Torralba 001 (CVPR, 2020)

Learning to Simulate Dynamic Environments With GameGAN. - Seung Wook Kim 001; Yuhao Zhou; Jonah Philion; Antonio Torralba 001; Sanja Fidler (CVPR, 2020)

Diverse Image Generation via Self-Conditioned GANs. - Steven Liu; Tongzhou Wang 001; David Bau; Jun-Yan Zhu; Antonio Torralba 001 (CVPR, 2020)

Rewriting a Deep Generative Model. - David Bau; Steven Liu; Tongzhou Wang 001; Jun-Yan Zhu; Antonio Torralba 001 (ECCV (1), 2020)

Foley Music: Learning to Generate Music from Videos. - Chuang Gan 001; Deng Huang; Peihao Chen; Joshua B. Tenenbaum; Antonio Torralba 001 (ECCV (11), 2020)

Deep Feedback Inverse Problem Solver. - Wei-Chiu Ma; Shenlong Wang; Jiayuan Gu; Sivabalan Manivasagam; Antonio Torralba 001; Raquel Urtasun (ECCV (5), 2020)

The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. - William S. Peebles; John Peebles; Jun-Yan Zhu; Alexei A. Efros; Antonio Torralba 001 (ECCV (6), 2020)

Detecting Natural Disasters, Damage, and Incidents in the Wild. - Ethan Weber; Nuria Marzo; Dim P. Papadopoulos; Aritro Biswas; Àgata Lapedriza; Ferda Ofli; Muhammad Imran 002; Antonio Torralba 001 (ECCV (19), 2020)

Learning Compositional Koopman Operators for Model-Based Control. - Yunzhu Li; Hao He 011; Jiajun Wu 001; Dina Katabi; Antonio Torralba 001 (ICLR, 2020)

CLEVRER: Collision Events for Video Representation and Reasoning. - Kexin Yi; Chuang Gan 001; Yunzhu Li; Pushmeet Kohli; Jiajun Wu 001; Antonio Torralba 001; Joshua B. Tenenbaum (ICLR, 2020)

Deep Audio Priors Emerge From Harmonic Convolutional Networks. - Zhoutong Zhang; Yunyun Wang; Chuang Gan 001; Jiajun Wu 001; Joshua B. Tenenbaum; Antonio Torralba 001; William T. Freeman (ICLR, 2020)

Estimating Generalization under Distribution Shifts via Domain-Invariant Representations. - Ching-Yao Chuang; Antonio Torralba 001; Stefanie Jegelka (ICML, 2020)

Visual Grounding of Learned Physical Models. - Yunzhu Li; Toru Lin; Kexin Yi; Daniel Bear; Daniel Yamins; Jiajun Wu 001; Joshua B. Tenenbaum; Antonio Torralba 001 (ICML, 2020)

Debiased Contrastive Learning. - Ching-Yao Chuang; Joshua Robinson 001; Yen-Chen Lin; Antonio Torralba 001; Stefanie Jegelka (NeurIPS, 2020)

Causal Discovery in Physical Systems from Videos. - Yunzhu Li; Antonio Torralba 001; Anima Anandkumar; Dieter Fox; Animesh Garg (NeurIPS, 2020)

Experiences and Insights for Collaborative Industry-Academic Research in Artificial Intelligence. - Lisa Amini; Ching-Hua Chen; David D. Cox; Aude Oliva; Antonio Torralba 001 (AI Mag., 2020)

Improving Inversion and Generation Diversity in StyleGAN using a Gaussianized Latent Space. - Jonas Wulff; Antonio Torralba 001 (CoRR, 2020)

Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. - Xavier Puig; Tianmin Shu; Shuang Li 013; Zilin Wang; Joshua B. Tenenbaum; Sanja Fidler; Antonio Torralba 001 (CoRR, 2020)

LID 2020: The Learning from Imperfect Data Challenge Results. - Yunchao Wei; Shuai Zheng 001; Ming-Ming Cheng; Hang Zhao; Liwei Wang 001; Errui Ding; Yi Yang 001; Antonio Torralba 001; Ting Liu 012; Guolei Sun; Wenguan Wang; Luc Van Gool; et al. (CoRR, 2020)

Energy-Based Models for Continual Learning. - Shuang Li 013; Yilun Du; Gido M. van de Ven; Antonio Torralba 001; Igor Mordatch (CoRR, 2020)

Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input. - David Harwath; Adrià Recasens; Dídac Surís; Galen Chuang; Antonio Torralba 001; James R. Glass (Int. J. Comput. Vis., 2020)

Guest Editorial: Generative Adversarial Networks for Computer Vision. - Jun-Yan Zhu; Hongsheng Li 001; Eli Shechtman; Ming-Yu Liu 001; Jan Kautz; Antonio Torralba 001 (Int. J. Comput. Vis., 2020)

Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions. - Muhammad Imran 002; Ferda Ofli; Doina Caragea; Antonio Torralba 001 (Inf. Process. Manag., 2020)

Understanding the role of individual units in a deep neural network. - David Bau; Jun-Yan Zhu; Hendrik Strobelt; Àgata Lapedriza; Bolei Zhou; Antonio Torralba 001 (Proc. Natl. Acad. Sci. USA, 2020)

3D Neural Scene Representations for Visuomotor Control. - Yunzhu Li; Shuang Li 013; Vincent Sitzmann; Pulkit Agrawal 001; Antonio Torralba 001 (CoRL, 2021)

DriveGAN: Towards a Controllable High-Quality Neural Simulation. - Seung Wook Kim 001; Jonah Philion; Antonio Torralba 001; Sanja Fidler (CVPR, 2021)

Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. - Daiqing Li; Junlin Yang; Karsten Kreis; Antonio Torralba 001; Sanja Fidler (CVPR, 2021)

Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals. - Yiyue Luo; Yunzhu Li; Michael Foshey; Wan Shou; Pratyusha Sharma; Tomás Palacios; Antonio Torralba 001; Wojciech Matusik (CVPR, 2021)

DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort. - Yuxuan Zhang 001; Huan Ling; Jun Gao 004; Kangxue Yin; Jean-Francois Lafleche; Adela Barriuso; Antonio Torralba 001; Sanja Fidler (CVPR, 2021)

Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. - Shuang Li 013; Yilun Du; Antonio Torralba 001; Josef Sivic; Bryan C. Russell (ICCV, 2021)

BARF: Bundle-Adjusting Neural Radiance Fields. - Chen-Hsuan Lin 001; Wei-Chiu Ma; Antonio Torralba 001; Simon Lucey (ICCV, 2021)

Scaling up instance annotation via label propagation. - Dim P. Papadopoulos; Ethan Weber; Antonio Torralba 001 (ICCV, 2021)

Toward a Visual Concept Vocabulary for GAN Latent Space. - Sarah Schwettmann; Evan Hernandez; David Bau; Samuel Klein; Jacob Andreas; Antonio Torralba 001 (ICCV, 2021)

What You Can Learn by Staring at a Blank Wall. - Prafull Sharma; Miika Aittala; Yoav Y. Schechner; Antonio Torralba 001; Gregory W. Wornell; William T. Freeman; Frédo Durand (ICCV, 2021)

Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. - Xavier Puig; Tianmin Shu; Shuang Li 013; Zilin Wang; Yuan-Hong Liao; Joshua B. Tenenbaum; Sanja Fidler; Antonio Torralba 001 (ICLR, 2021)

Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering. - Yuxuan Zhang 001; Wenzheng Chen; Huan Ling; Jun Gao 004; Yinan Zhang; Antonio Torralba 001; Sanja Fidler (ICLR, 2021)

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. - Andrew Rouditchenko; Angie W. Boggust; David Harwath; Brian Chen 001; Dhiraj Joshi; Samuel Thomas 001; Kartik Audhkhasi; Hilde Kuehne; Rameswar Panda; Rogério Schmidt Feris; Brian Kingsbury; Michael Picheny; et al. (Interspeech, 2021)

OPEn: An Open-ended Physics Environment for Learning Without a Task. - Chuang Gan 001; Abhishek Bhandwaldar; Antonio Torralba 001; Joshua B. Tenenbaum; Phillip Isola (IROS, 2021)

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. - Qiang Zhang; Yunzhu Li; Yiyue Luo; Wan Shou; Michael Foshey; Junchi Yan; Joshua B. Tenenbaum; Wojciech Matusik; Antonio Torralba 001 (IROS, 2021)

Measuring Generalization with Optimal Transport. - Ching-Yao Chuang; Youssef Mroueh; Kristjan H. Greenewald; Antonio Torralba 001; Stefanie Jegelka (NeurIPS, 2021)

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. - Chuang Gan 001; Jeremy Schwartz; Seth Alter; Damian Mrowca; Martin Schrimpf; James Traer; Julian De Freitas; Jonas Kubilius; Abhishek Bhandwaldar; Nick Haber; Megumi Sano; Kuno Kim; et al. (NeurIPS Datasets and Benchmarks, 2021)

PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning. - Yining Hong; Li Yi 001; Josh Tenenbaum 001; Antonio Torralba 001; Chuang Gan 001 (NeurIPS, 2021)

Learning to See by Looking at Noise. - Manel Baradad Jurjo; Jonas Wulff; Tongzhou Wang 001; Phillip Isola; Antonio Torralba 001 (NeurIPS, 2021)

EditGAN: High-Precision Semantic Image Editing. - Huan Ling; Karsten Kreis; Daiqing Li; Seung Wook Kim 001; Antonio Torralba 001; Sanja Fidler (NeurIPS, 2021)

Learning to Compose Visual Relations. - Nan Liu 010; Shuang Li 013; Yilun Du; Josh Tenenbaum 001; Antonio Torralba 001 (NeurIPS, 2021)

Editing a classifier by rewriting its prediction rules. - Shibani Santurkar; Dimitris Tsipras; Mahalaxmi Elango; David Bau; Antonio Torralba 001; Aleksander Madry (NeurIPS, 2021)

Paint by Word. - David Bau; Alex Andonian; Audrey Cui; YeonHwan Park; Ali Jahanian 002; Aude Oliva; Antonio Torralba 001 (CoRR, 2021)

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI. - Chuang Gan 001; Siyuan Zhou; Jeremy Schwartz; Seth Alter; Abhishek Bhandwaldar; Dan Gutfreund; Daniel L. K. Yamins; James J. DiCarlo; Josh H. McDermott; Antonio Torralba 001; Joshua B. Tenenbaum (CoRR, 2021)

Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales. - Jacob Andreas; Gasper Begus; Michael M. Bronstein; Roee Diamant; Denley Delaney; Shane Gero; Shafi Goldwasser; David F. Gruber; Sarah de Haas; Peter Malkin; Roger Payne; Giovanni Petri; et al. (CoRR, 2021)

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 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (CoRR, 2021)

Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. - Javier Marín; Aritro Biswas; Ferda Ofli; Nicholas Hynes 002; Amaia Salvador; Yusuf Aytar; Ingmar Weber; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Skill Induction and Planning with Latent Language. - Pratyusha Sharma; Antonio Torralba 001; Jacob Andreas (ACL (1), 2022)

Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation. - George Cazenavette; Tongzhou Wang 001; Antonio Torralba 001; Alexei A. Efros; Jun-Yan Zhu (CVPR Workshops, 2022)

Dataset Distillation by Matching Training Trajectories. - George Cazenavette; Tongzhou Wang 001; Antonio Torralba 001; Alexei A. Efros; Jun-Yan Zhu (CVPR, 2022)

Robust Contrastive Learning against Noisy Views. - Ching-Yao Chuang; R. Devon Hjelm; Xin Wang 066; Vibhav Vineet; Neel Joshi; Antonio Torralba 001; Stefanie Jegelka; Yale Song (CVPR, 2022)

Finding Fallen Objects Via Asynchronous Audio-Visual Integration. - Chuang Gan 001; Yi Gu 002; Siyuan Zhou; Jeremy Schwartz; Seth Alter; James Traer; Dan Gutfreund; Joshua B. Tenenbaum; Josh H. McDermott; Antonio Torralba 001 (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 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (CVPR, 2022)

Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. - Yining Hong; Kaichun Mo; Li Yi 001; Leonidas J. Guibas; Antonio Torralba 001; Joshua B. Tenenbaum; Chuang Gan 001 (CVPR, 2022)

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. - Seung Wook Kim 001; Karsten Kreis; Daiqing Li; Antonio Torralba 001; Sanja Fidler (CVPR, 2022)

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. - Daiqing Li; Huan Ling; Seung Wook Kim 001; Karsten Kreis; Sanja Fidler; Antonio Torralba 001 (CVPR, 2022)

Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. - Wei-Chiu Ma; Anqi Joyce Yang; Shenlong Wang; Raquel Urtasun; Antonio Torralba 001 (CVPR, 2022)

Disentangling visual and written concepts in CLIP. - Joanna Materzynska; Antonio Torralba 001; David Bau (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 001 (CVPR, 2022)

GAN-Supervised Dense Visual Alignment. - William S. Peebles; Jun-Yan Zhu; Richard Zhang 001; Antonio Torralba 001; Alexei A. Efros; Eli Shechtman (CVPR, 2022)

Compositional Visual Generation with Composable Diffusion Models. - Nan Liu 010; Shuang Li 013; Yilun Du; Antonio Torralba 001; Joshua B. Tenenbaum (ECCV (17), 2022)

Totems: Physical Objects for Verifying Visual Integrity. - Jingwei Ma; Lucy Chai; Minyoung Huh; Tongzhou Wang 001; Ser-Nam Lim; Phillip Isola; Antonio Torralba 001 (ECCV (14), 2022)

MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning. - Xiaogang Xu 002; Hengshuang Zhao; Vibhav Vineet; Ser-Nam Lim; Antonio Torralba 001 (ECCV (27), 2022)

ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. - Zhenfang Chen; Kexin Yi; Yunzhu Li; Mingyu Ding; Antonio Torralba 001; Joshua B. Tenenbaum; Chuang Gan 001 (ICLR, 2022)

Natural Language Descriptions of Deep Visual Features. - Evan Hernandez; Sarah Schwettmann; David Bau; Teona Bagashvili; Antonio Torralba 001; Jacob Andreas (ICLR, 2022)

Denoised MDPs: Learning World Models Better Than the World Itself. - Tongzhou Wang 001; Simon S. Du; Antonio Torralba 001; Phillip Isola; Amy Zhang 001; Yuandong Tian (ICML, 2022)

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI. - Chuang Gan 001; Siyuan Zhou; Jeremy Schwartz; Seth Alter; Abhishek Bhandwaldar; Dan Gutfreund; Daniel L. K. Yamins; James J. DiCarlo; Josh H. McDermott; Antonio Torralba 001; Joshua B. Tenenbaum (ICRA, 2022)

Noisy Agents: Self-supervised Exploration by Predicting Auditory Events. - Chuang Gan 001; Xiaoyu Chen; Phillip Isola; Antonio Torralba 001; Joshua B. Tenenbaum (IROS, 2022)

Procedural Image Programs for Representation Learning. - Manel Baradad; Chun-Fu Richard Chen; Jonas Wulff; Tongzhou Wang 001; Rogério Feris; Antonio Torralba 001; Phillip Isola (NeurIPS, 2022)

ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment. - Joseph DelPreto; Chao Liu 021; Yiyue Luo; Michael Foshey; Yunzhu Li; Antonio Torralba 001; Wojciech Matusik; Daniela Rus (NeurIPS, 2022)

Pre-Trained Language Models for Interactive Decision-Making. - Shuang Li 013; Xavier Puig; Chris Paxton 001; Yilun Du; Clinton Wang; Linxi Fan; Tao Chen 046; De-An Huang; Ekin Akyürek; Anima Anandkumar; Jacob Andreas; Igor Mordatch; et al. (NeurIPS, 2022)

Learning Neural Acoustic Fields. - Andrew F. Luo; Yilun Du; Michael J. Tarr; Josh Tenenbaum 001; Antonio Torralba 001; Chuang Gan 001 (NeurIPS, 2022)

Correcting Robot Plans with Natural Language Feedback. - Pratyusha Sharma; Balakumar Sundaralingam; Valts Blukis; Chris Paxton 001; Tucker Hermans; Antonio Torralba 001; Jacob Andreas; Dieter Fox (Robotics: Science and Systems, 2022)

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. - Daiqing Li; Huan Ling; Seung Wook Kim 001; Karsten Kreis; Adela Barriuso; Sanja Fidler; Antonio Torralba 001 (CoRR, 2022)

Local Relighting of Real Scenes. - Audrey Cui; Ali Jahanian 002; Àgata Lapedriza; Antonio Torralba 001; Shahin Mahdizadehaghdam; Rohit Kumar; David Bau (CoRR, 2022)

Aliasing is a Driver of Adversarial Attacks. - Adrián Rodríguez-Muñoz; Antonio Torralba 001 (CoRR, 2022)

NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. - Seung Wook Kim 001; Bradley Brown; Kangxue Yin; Karsten Kreis; Katja Schwarz; Daiqing Li; Robin Rombach; Antonio Torralba 001; Sanja Fidler (CVPR, 2023)

Detecting Everything in the Open World: Towards Universal Object Detection. - Zhenyu Wang 005; Yali Li 001; Xi Chen; Ser-Nam Lim; Antonio Torralba 001; Hengshuang Zhao; Shengjin Wang (CVPR, 2023)

Generalizing Dataset Distillation via Deep Generative Prior. - George Cazenavette; Tongzhou Wang 001; Antonio Torralba 001; Alexei A. Efros; Jun-Yan Zhu (CVPR, 2023)

Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. - Kun Su; Kaizhi Qian; Eli Shlizerman; Antonio Torralba 001; Chuang Gan 001 (CVPR, 2023)

Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. - Nan Liu 010; Yilun Du; Shuang Li 013; Joshua B. Tenenbaum; Antonio Torralba 001 (ICCV, 2023)

Open-vocabulary Panoptic Segmentation with Embedding Modulation. - Xi Chen; Shuang Li 013; Ser-Nam Lim; Antonio Torralba 001; Hengshuang Zhao (ICCV, 2023)

DreamTeacher: Pretraining Image Backbones with Deep Generative Models. - Daiqing Li; Huan Ling; Amlan Kar; David Acuna; Seung Wook Kim 001; Karsten Kreis; Antonio Torralba 001; Sanja Fidler (ICCV, 2023)

BT2: Backward-compatible Training with Basis Transformation. - Yifei Zhou; Zilu Li; Abhinav Shrivastava; Hengshuang Zhao; Antonio Torralba 001; Tai-Peng Tian; Ser-Nam Lim (ICCV, 2023)

Multimodal Neurons in Pretrained Text-Only Transformers. - Sarah Schwettmann; Neil Chowdhury; Samuel Klein; David Bau; Antonio Torralba 001 (ICCV (Workshops), 2023)

Composing Ensembles of Pre-trained Models via Iterative Consensus. - Shuang Li 013; Yilun Du; Joshua B. Tenenbaum; Antonio Torralba 001; Igor Mordatch (ICLR, 2023)

FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. - Zhou Xian; Bo Zhu; Zhenjia Xu; Hsiao-Yu Tung; Antonio Torralba 001; Katerina Fragkiadaki; Chuang Gan 001 (ICLR, 2023)

Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. - Tongzhou Wang 001; Antonio Torralba 001; Phillip Isola; Amy Zhang 001 (ICML, 2023)

NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. - Xavier Puig; Tianmin Shu; Joshua B. Tenenbaum; Antonio Torralba 001 (ICRA, 2023)

Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects. - Tianhang Cheng; Wei-Chiu Ma; Kaiyu Guan; Antonio Torralba 001; Shenlong Wang (NeurIPS, 2023)

FIND: A Function Description Benchmark for Evaluating Interpretability Methods. - Sarah Schwettmann; Tamar Rott Shaham; Joanna Materzynska; Neil Chowdhury; Shuang Li 013; Jacob Andreas; David Bau; Antonio Torralba 001 (NeurIPS, 2023)

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. - Haotian Xue; Antonio Torralba 001; Josh Tenenbaum 001; Dan Yamins; Yunzhu Li; Hsiao-Yu Tung (NeurIPS, 2023)

ConceptFusion: Open-set multimodal 3D mapping. - Krishna Murthy Jatavallabhula; Alihusein Kuwajerwala; Qiao Gu; Mohd. Omama; Ganesh Iyer; Soroush Saryazdi; Tao Chen 046; Alaa Maalouf; Shuang Li 013; Nikhil Varma Keetha; Ayush Tewari; Joshua B. Tenenbaum; et al. (Robotics: Science and Systems, 2023)

Debiasing Vision-Language Models via Biased Prompts. - Ching-Yao Chuang; Varun Jampani; Yuanzhen Li; Antonio Torralba 001; Stefanie Jegelka (CoRR, 2023)

ConceptFusion: Open-set Multimodal 3D Mapping. - Krishna Murthy Jatavallabhula; Alihusein Kuwajerwala; Qiao Gu; Mohd. Omama; Tao Chen 046; Shuang Li 013; Ganesh Iyer; Soroush Saryazdi; Nikhil Varma Keetha; Ayush Tewari; Joshua B. Tenenbaum; Celso Miguel de Melo; et al. (CoRR, 2023)

Background Prompting for Improved Object Depth. - Manel Baradad; Yuanzhen Li; Forrester Cole; Michael Rubinstein; Antonio Torralba 001; William T. Freeman; Varun Jampani (CoRR, 2023)

Multimodal Neurons in Pretrained Text-Only Transformers. - Sarah Schwettmann; Neil Chowdhury; Antonio Torralba 001 (CoRR, 2023)

Follow Anything: Open-set detection, tracking, and following in real-time. - Alaa Maalouf; Ninad Jadhav; Krishna Murthy Jatavallabhula; Makram Chahine; Daniel M. Vogt; Robert J. Wood; Antonio Torralba 001; Daniela Rus (CoRR, 2023)

A Function Interpretation Benchmark for Evaluating Interpretability Methods. - Sarah Schwettmann; Tamar Rott Shaham; Joanna Materzynska; Neil Chowdhury; Shuang Li 013; Jacob Andreas; David Bau; Antonio Torralba 001 (CoRR, 2023)

Customizing Motion in Text-to-Video Diffusion Models. - Joanna Materzynska; Josef Sivic; Eli Shechtman; Antonio Torralba 001; Richard Zhang 001; Bryan C. Russell (CoRR, 2023)

Incidents1M: A Large-Scale Dataset of Images With Natural Disasters, Damage, and Incidents. - Ethan Weber; Dim P. Papadopoulos; Àgata Lapedriza; Ferda Ofli; Muhammad Imran 002; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

CAvatar: Real-time Human Activity Mesh Reconstruction via Tactile Carpets. - Wenqiang Chen; Yexin Hu; Wei Song; Yingcheng Liu; Antonio Torralba 001; Wojciech Matusik (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

NewMove: Customizing Text-to-Video Models with Novel Motions. - Joanna Materzynska; Josef Sivic; Eli Shechtman; Antonio Torralba 001; Richard Zhang 001; Bryan C. Russell (ACCV (5), 2024)

MMToM-QA: Multimodal Theory of Mind Question Answering. - Chuanyang Jin; Yutong Wu; Jing Cao; Jiannan Xiang; Yen-Ling Kuo; Zhiting Hu; Tomer D. Ullman; Antonio Torralba 001; Joshua B. Tenenbaum; Tianmin Shu (ACL (1), 2024)

Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models. - Huan Ling; Seung Wook Kim 001; Antonio Torralba 001; Sanja Fidler; Karsten Kreis (CVPR, 2024)

A Vision Check-up for Language Models. - Pratyusha Sharma; Tamar Rott Shaham; Manel Baradad; Adrián Rodríuez-Muñoz; Shivam Duggal; Phillip Isola; Antonio Torralba 001; Stephanie Fu (CVPR, 2024)

Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models. - Rohit Gandikota; Joanna Materzynska; Tingrui Zhou; Antonio Torralba 001; David Bau (ECCV (40), 2024)

Characterizing Model Robustness via Natural Input Gradients. - Adrián Rodríguez-Muñoz; Tongzhou Wang 001; Antonio Torralba 001 (ECCV (76), 2024)

LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. - Kevin Xie; Jonathan Lorraine; Tianshi Cao; Jun Gao 004; James Lucas; Antonio Torralba 001; Sanja Fidler; Xiaohui Zeng (ECCV (77), 2024)

Learning to Jointly Understand Visual and Tactile Signals. - Yichen Li 004; Yilun Du; Chao Liu 021; Chao Liu 064; Francis Williams; Michael Foshey; Benjamin Eckart; Jan Kautz; Joshua B. Tenenbaum; Antonio Torralba 001; Wojciech Matusik (ICLR, 2024)

Improving Factuality and Reasoning in Language Models through Multiagent Debate. - Yilun Du; Shuang Li 013; Antonio Torralba 001; Joshua B. Tenenbaum; Igor Mordatch (ICML, 2024)

A Multimodal Automated Interpretability Agent. - Tamar Rott Shaham; Sarah Schwettmann; Franklin Wang; Achyuta Rajaram; Evan Hernandez; Jacob Andreas; Antonio Torralba 001 (ICML, 2024)

ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. - Qiao Gu; Ali Kuwajerwala; Sacha Morin; Krishna Murthy Jatavallabhula; Bipasha Sen; Aditya Agarwal; Corban Rivera; William Paul; Kirsty Ellis; Rama Chellappa; Chuang Gan 001; Celso Miguel de Melo; et al. (ICRA, 2024)

Efficient 3D Instance Mapping and Localization with Neural Fields. - George Tang; Krishna Murthy Jatavallabhula; Antonio Torralba 001 (ICRA, 2024)

GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment. - Lance Ying; Kunal Jha; Shivam Aarya; Joshua B. Tenenbaum; Antonio Torralba 001; Tianmin Shu (IROS, 2024)

L4GM: Large 4D Gaussian Reconstruction Model. - Jiawei Ren 001; Cheng Xie; Ashkan Mirzaei; Hanxue Liang; Xiaohui Zeng; Karsten Kreis; Ziwei Liu 002; Antonio Torralba 001; Sanja Fidler; Seung Wook Kim 001; Huan Ling (NeurIPS, 2024)

A Vision Check-up for Language Models. - Pratyusha Sharma; Tamar Rott Shaham; Manel Baradad; Stephanie Fu; Adrián Rodríguez-Muñoz; Shivam Duggal; Phillip Isola; Antonio Torralba 001 (CoRR, 2024)

Automatic Discovery of Visual Circuits. - Achyuta Rajaram; Neil Chowdhury; Antonio Torralba 001; Jacob Andreas; Sarah Schwettmann (CoRR, 2024)

L4GM: Large 4D Gaussian Reconstruction Model. - Jiawei Ren 001; Kevin Xie; Ashkan Mirzaei; Hanxue Liang; Xiaohui Zeng; Karsten Kreis; Ziwei Liu 002; Antonio Torralba 001; Sanja Fidler; Seung Wook Kim 001; Huan Ling (CoRR, 2024)

LoRA vs Full Fine-tuning: An Illusion of Equivalence. - Reece Shuttleworth; Jacob Andreas; Antonio Torralba 001; Pratyusha Sharma (CoRR, 2024)

Art-Free Generative Models: Art Creation Without Graphic Art Knowledge. - Hui Ren; Joanna Materzynska; Rohit Gandikota; David Bau; Antonio Torralba 001 (CoRR, 2024)

Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos. - Hanxue Liang; Jiawei Ren 001; Ashkan Mirzaei; Antonio Torralba 001; Ziwei Liu 002; Igor Gilitschenski; Sanja Fidler; Cengiz Öztireli; Huan Ling; Zan Gojcic; Jiahui Huang (CoRR, 2024)

Follow Anything: Open-Set Detection, Tracking, and Following in Real-Time. - Alaa Maalouf; Ninad Jadhav; Krishna Murthy Jatavallabhula; Makram Chahine; Daniel M. Vogt; Robert J. Wood; Antonio Torralba 001; Daniela Rus (IEEE Robotics Autom. Lett., 2024)

Fits like a Flex-Glove: Automatic Design of Personalized FPCB-Based Tactile Sensing Gloves. - Devin Murphy; Yichen Li 004; Crystal Elaine Owens; Layla Stanton; Paul Pu Liang; Yiyue Luo; Antonio Torralba 001; Wojciech Matusik (CHI Extended Abstracts, 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 001; Ali Farhadi; Wei-Chiu Ma (CVPR, 2025)

SketchAgent: Language-Driven Sequential Sketch Generation. - Yael Vinker; Tamar Rott Shaham; Kristine Zheng; Alex Zhao; Judith E. Fan; Antonio Torralba 001 (CVPR, 2025)

Adaptive Length Image Tokenization via Recurrent Allocation. - Shivam Duggal; Phillip Isola; Antonio Torralba 001; William T. Freeman (ICLR, 2025)

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains. - Vighnesh Subramaniam; Yilun Du; Joshua B. Tenenbaum; Antonio Torralba 001; Shuang Li 013; Igor Mordatch (ICLR, 2025)

Fits like a Flex-Glove: Automatic Design of Personalized FPCB-Based Tactile Sensing Gloves. - Devin Murphy; Yichen Li 004; Crystal Elaine Owens; Layla Stanton; Young Joong Lee; Paul Pu Liang; Yiyue Luo; Antonio Torralba 001; Wojciech Matusik (CoRR, 2025)

Score Distillation Sampling for Audio: Source Separation, Synthesis, and Beyond. - Jessie Richter-Powell; Antonio Torralba 001; Jonathan Lorraine (CoRR, 2025)

Ambient Diffusion Omni: Training Good Models with Bad Data. - Giannis Daras; Adrián Rodríguez-Muñoz; Adam R. Klivans; Antonio Torralba 001; Constantinos Daskalakis (CoRR, 2025)

Single-pass Adaptive Image Tokenization for Minimum Program Search. - Shivam Duggal; Sanghyun Byun; William T. Freeman; Antonio Torralba 001; Phillip Isola (CoRR, 2025)

UniDetector: Towards Universal Object Detection With Heterogeneous Supervision. - Zhenyu Wang 005; Yali Li 001; Xi Chen; Ser-Nam Lim; Antonio Torralba 001; Hengshuang Zhao; Shengjin Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Separating Knowledge and Perception with Procedural Data. - Adrián Rodríguez-Muñoz; Manel Baradad; Phillip Isola; Antonio Torralba 001 (CoRR, 2025)

Compositional Physical Reasoning of Objects and Events From Videos. - Zhenfang Chen; Shilong Dong; Kexin Yi; Yunzhu Li; Mingyu Ding; Antonio Torralba 001; Joshua B. Tenenbaum; Chuang Gan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)