Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces. - Carl Vondrick; Deva Ramanan; Donald J. Patterson (ECCV (4), 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)

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)

Video Annotation and Tracking with Active Learning. - Carl Vondrick; Deva Ramanan (NIPS, 2011)

Do We Need More Training Data or Better Models for Object Detection?. - Xiangxin Zhu; Carl Vondrick; Deva Ramanan; Charless C. Fowlkes (BMVC, 2012)

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

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

Efficiently Scaling up Crowdsourced Video Annotation - A Set of Best Practices for High Quality, Economical Video Labeling. - Carl Vondrick; Donald J. Patterson; Deva Ramanan (Int. J. Comput. Vis., 2013)

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

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)

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

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

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

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

Do We Need More Training Data? - Xiangxin Zhu; Carl Vondrick; Charless C. Fowlkes; Deva Ramanan (Int. J. Comput. Vis., 2016)

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

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

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

Predictive vision. - Carl Vondrick (2017)

AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions. - Chunhui Gu; Chen Sun 002; David A. Ross; Carl Vondrick; Caroline Pantofaru; Yeqing Li; Sudheendra Vijayanarasimhan; George Toderici; Susanna Ricco; Rahul Sukthankar; Cordelia Schmid; Jitendra Malik (CVPR, 2018)

Actor-Centric Relation Network. - Chen Sun 002; Abhinav Shrivastava; Carl Vondrick; Kevin Murphy 002; Rahul Sukthankar; Cordelia Schmid (ECCV (11), 2018)

Tracking Emerges by Colorizing Videos. - Carl Vondrick; Abhinav Shrivastava; Alireza Fathi; Sergio Guadarrama; Kevin Murphy 002 (ECCV (13), 2018)

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

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

Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding. - Hassan Akbari; Svebor Karaman; Surabhi Bhargava; Brian Chen 001; Carl Vondrick; Shih-Fu Chang (CVPR, 2019)

Relational Action Forecasting. - Chen Sun 002; Abhinav Shrivastava; Carl Vondrick; Rahul Sukthankar; Kevin Murphy 002; Cordelia Schmid (CVPR, 2019)

VideoBERT: A Joint Model for Video and Language Representation Learning. - Chen Sun 002; Austin Myers; Carl Vondrick; Kevin Murphy 002; Cordelia Schmid (ICCV, 2019)

Metric Learning for Adversarial Robustness. - Chengzhi Mao; Ziyuan Zhong; Junfeng Yang; Carl Vondrick; Baishakhi Ray (NeurIPS, 2019)

DeepBase: Deep Inspection of Neural Networks. - Thibault Sellam; Kevin Lin; Ian Yiran Huang; Michelle Yang; Carl Vondrick; Eugene Wu 002 (SIGMOD Conference, 2019)

Learning to Learn Words from Narrated Video. - Dídac Surís; Dave Epstein; Heng Ji 001; Shih-Fu Chang; Carl Vondrick (CoRR, 2019)

Bringing Engineering Rigor to Deep Learning. - Kexin Pei; Shiqi Wang 002; Yuchi Tian; Justin Whitehouse; Carl Vondrick; Yinzhi Cao; Baishakhi Ray; Suman Jana; Junfeng Yang (ACM SIGOPS Oper. Syst. Rev., 2019)

Oops! Predicting Unintentional Action in Video. - Dave Epstein; Boyuan Chen 001; Carl Vondrick (CVPR, 2020)

We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos. - Alex Andonian; Camilo Fosco; Mathew Monfort; Allen Lee; Rogério Feris; Carl Vondrick; Aude Oliva (ECCV (18), 2020)

Multitask Learning Strengthens Adversarial Robustness. - Chengzhi Mao; Amogh Gupta; Vikram Nitin; Baishakhi Ray; Shuran Song; Junfeng Yang; Carl Vondrick (ECCV (2), 2020)

Learning to Learn Words from Visual Scenes. - Dídac Surís; Dave Epstein; Heng Ji 001; Shih-Fu Chang; Carl Vondrick (ECCV (29), 2020)

Visual Hide and Seek. - Boyuan Chen 001; Shuran Song; Hod Lipson; Carl Vondrick (ALIFE, 2020)

Listening to Sounds of Silence for Speech Denoising. - Ruilin Xu 001; Rundi Wu; Yuko Ishiwaka; Carl Vondrick; Changxi Zheng (NeurIPS, 2020)

Video Representations of Goals Emerge from Watching Failure. - Dave Epstein; Carl Vondrick (CoRR, 2020)

Analogical Reasoning for Visually Grounded Language Acquisition. - Bo Wu 018; Haoyu Qin; Alireza Zareian; Carl Vondrick; Shih-Fu Chang (CoRR, 2020)

A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion. - Terrance E. Boult; Przemyslaw A. Grabowicz; Derek S. Prijatelj; Roni Stern; Larry B. Holder; Joshua Alspector; Mohsen Jafarzadeh; Touqeer Ahmad; Akshay Raj Dhamija; Chunchun Li; Steve Cruz; Abhinav Shrivastava; et al. (CoRR, 2020)

Globetrotter: Unsupervised Multilingual Translation from Visual Alignment. - Dídac Surís; Dave Epstein; Carl Vondrick (CoRR, 2020)

Moments in Time Dataset: One Million Videos for Event Understanding. - Mathew Monfort; Carl Vondrick; Aude Oliva; Alex Andonian; Bolei Zhou; Kandan Ramakrishnan; Sarah Adel Bargal; Tom Yan; Lisa M. Brown; Quanfu Fan; Dan Gutfreund (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Towards a Unifying Framework for Formal Theories of Novelty. - Terrance E. Boult; Przemyslaw A. Grabowicz; Derek S. Prijatelj; Roni Stern; Lawrence Holder; Joshua Alspector; Mohsen Jafarzadeh; Touqeer Ahmad; Akshay Raj Dhamija; Chunchun Li; Steve Cruz; Abhinav Shrivastava; et al. (AAAI, 2021)

The Boombox: Visual Reconstruction from Acoustic Vibrations. - Boyuan Chen 001; Mia Chiquier; Hod Lipson; Carl Vondrick (CoRL, 2021)

Learning Goals From Failure. - Dave Epstein; Carl Vondrick (CVPR, 2021)

Generative Interventions for Causal Learning. - Chengzhi Mao; Augustine Cha; Amogh Gupta; Hao Wang 014; Junfeng Yang; Carl Vondrick (CVPR, 2021)

Learning the Predictability of the Future. - Didac Suris; Ruoshi Liu; Carl Vondrick (CVPR, 2021)

Dissecting Image Crops. - Basile Van Hoorick; Carl Vondrick (ICCV, 2021)

Adversarial Attacks are Reversible with Natural Supervision. - Chengzhi Mao; Mia Chiquier; Hao Wang 014; Junfeng Yang; Carl Vondrick (ICCV, 2021)

RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. - Haoyang Wen; Ying Lin; Tuan Manh Lai; Xiaoman Pan; Sha Li; Xudong Lin 003; Ben Zhou; Manling Li; Haoyu Wang 005; Hongming Zhang 009; Xiaodong Yu 003; Alexander Dong; et al. (NAACL-HLT (Demonstrations), 2021)

Full-Body Visual Self-Modeling of Robot Morphologies. - Boyuan Chen 001; Robert Kwiatkowski; Carl Vondrick; Hod Lipson (CoRR, 2021)

There's a Time and Place for Reasoning Beyond the Image. - Xingyu Fu; Ben Zhou; Ishaan Preetam Chandratreya; Carl Vondrick; Dan Roth 001 (ACL (1), 2022)

Revealing Occlusions with 4D Neural Fields. - Basile Van Hoorick; Purva Tendulkar; Dídac Surís; Dennis Park; Simon Stent; Carl Vondrick (CVPR, 2022)

Causal Transportability for Visual Recognition. - Chengzhi Mao; Kevin Xia 001; James Wang; Hao Wang 014; Junfeng Yang; Elias Bareinboim; Carl Vondrick (CVPR, 2022)

UnweaveNet: Unweaving Activity Stories. - Will Price; Carl Vondrick; Dima Damen (CVPR, 2022)

Globetrotter: Connecting Languages by Connecting Images. - Dídac Surís; Dave Epstein; Carl Vondrick (CVPR, 2022)

It's Time for Artistic Correspondence in Music and Video. - Dídac Surís; Carl Vondrick; Bryan C. Russell; Justin Salamon (CVPR, 2022)

Real-Time Neural Voice Camouflage. - Mia Chiquier; Chengzhi Mao; Carl Vondrick (ICLR, 2022)

Discrete Representations Strengthen Vision Transformer Robustness. - Chengzhi Mao; Lu Jiang 004; Mostafa Dehghani 001; Carl Vondrick; Rahul Sukthankar; Irfan Essa (ICLR, 2022)

Private Multiparty Perception for Navigation. - Hui Lu; Mia Chiquier; Carl Vondrick (NeurIPS, 2022)

Representing Spatial Trajectories as Distributions. - Dídac Surís; Carl Vondrick (NeurIPS, 2022)

Forget-me-not! Contrastive critics for mitigating posterior collapse. - Sachit Menon; David M. Blei; Carl Vondrick (UAI, 2022)

There is a Time and Place for Reasoning Beyond the Image. - Xingyu Fu; Ben Zhou; Ishaan Preetam Chandratreya; Carl Vondrick; Dan Roth 001 (CoRR, 2022)

Shadows Shed Light on 3D Objects. - Ruoshi Liu; Sachit Menon; Chengzhi Mao; Dennis Park; Simon Stent; Carl Vondrick (CoRR, 2022)

Task Bias in Vision-Language Models. - Sachit Menon; Ishaan Preetam Chandratreya; Carl Vondrick (CoRR, 2022)

Adversarially Robust Video Perception by Seeing Motion. - Lingyu Zhang; Chengzhi Mao; Junfeng Yang; Carl Vondrick (CoRR, 2022)

Fully body visual self-modeling of robot morphologies. - Boyuan Chen 001; Robert Kwiatkowski; Carl Vondrick; Hod Lipson (Sci. Robotics, 2022)

Tracking Through Containers and Occluders in the Wild. - Basile Van Hoorick; Pavel Tokmakov; Simon Stent; Jie Li; Carl Vondrick (CVPR, 2023)

What You Can Reconstruct from a Shadow. - Ruoshi Liu; Sachit Menon; Chengzhi Mao; Dennis Park; Simon Stent; Carl Vondrick (CVPR, 2023)

Humans as Light Bulbs: 3D Human Reconstruction from Thermal Reflection. - Ruoshi Liu; Carl Vondrick (CVPR, 2023)

Doubly Right Object Recognition: A Why Prompt for Visual Rationales. - Chengzhi Mao; Revant Teotia; Amrutha Sundar; Sachit Menon; Junfeng Yang; Xin Wang 066; Carl Vondrick (CVPR, 2023)

FLEX: Full-Body Grasping Without Full-Body Grasps. - Purva Tendulkar; Dídac Surís; Carl Vondrick (CVPR, 2023)

SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. - Hongge Chen; Zhao Chen; Gregory P. Meyer; Dennis Park; Carl Vondrick; Ashish Shrivastava 001; Yuning Chai (ICCV, 2023)

Muscles in Action. - Mia Chiquier; Carl Vondrick (ICCV, 2023)

Landscape Learning for Neural Network Inversion. - Ruoshi Liu; Chengzhi Mao; Purva Tendulkar; Hao Wang 014; Carl Vondrick (ICCV, 2023)

Zero-1-to-3: Zero-shot One Image to 3D Object. - Ruoshi Liu; Rundi Wu; Basile Van Hoorick; Pavel Tokmakov; Sergey Zakharov; Carl Vondrick (ICCV, 2023)

SurfsUp: Learning Fluid Simulation for Novel Surfaces. - Arjun Mani; Ishaan Preetam Chandratreya; Elliot Creager; Carl Vondrick; Richard S. Zemel (ICCV, 2023)

ViperGPT: Visual Inference via Python Execution for Reasoning. - Dídac Surís; Sachit Menon; Carl Vondrick (ICCV, 2023)

Understanding Zero-shot Adversarial Robustness for Large-Scale Models. - Chengzhi Mao; Scott Geng; Junfeng Yang; Xin Wang 066; Carl Vondrick (ICLR, 2023)

Visual Classification via Description from Large Language Models. - Sachit Menon; Carl Vondrick (ICLR, 2023)

Robust Perception through Equivariance. - Chengzhi Mao; Lingyu Zhang; Abhishek Vaibhav Joshi; Junfeng Yang; Hao Wang 014; Carl Vondrick (ICML, 2023)

Objaverse-XL: A Universe of 10M+ 3D Objects. - Matt Deitke; Ruoshi Liu; Matthew Wallingford; Huong Ngo; Oscar Michel; Aditya Kusupati; Alan Fan; Christian Laforte; Vikram Voleti; Samir Yitzhak Gadre; Eli VanderBilt; Aniruddha Kembhavi; et al. (NeurIPS, 2023)

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. - Sungduk Yu; Walter M. Hannah; Liran Peng; Jerry Lin; Mohamed Aziz Bhouri; Ritwik Gupta; Björn Lütjens; Justus C. Will; Gunnar Behrens; Julius Busecke; Nora Loose; Charles Stern; et al. (NeurIPS, 2023)

Affective Faces for Goal-Driven Dyadic Communication. - Scott Geng; Revant Teotia; Purva Tendulkar; Sachit Menon; Carl Vondrick (CoRR, 2023)

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. - Sungduk Yu; Walter M. Hannah; Liran Peng; Mohamed Aziz Bhouri; Ritwik Gupta; Jerry Lin; Björn Lütjens; Justus C. Will; Tom Beucler; Bryce E. Harrop; Benjamin R. Hillman; Andrea M. Jenney; et al. (CoRR, 2023)

Interpreting and Controlling Vision Foundation Models via Text Explanations. - Haozhe Chen; Junfeng Yang; Carl Vondrick; Chengzhi Mao (CoRR, 2023)

Seeing Science: Inquiry-Based Learning at Home Through Mobile Messaging System. - Tamar Fuhrmann; Marina A Lemee; Jonathan Pang; Je Seung You; Lydia B. Chilton; Carl Vondrick; Paulo Blikstein (IDC, 2024)

Dreamitate: Real-World Visuomotor Policy Learning via Video Generation. - Junbang Liang; Ruoshi Liu; Ege Ozguroglu; Sruthi Sudhakar; Achal Dave; Pavel Tokmakov; Shuran Song; Carl Vondrick (CoRL, 2024)

Differentiable Robot Rendering. - Ruoshi Liu; Alper Canberk; Shuran Song; Carl Vondrick (CoRL, 2024)

GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. - Abdullah Hamdi; Luke Melas-Kyriazi; Jinjie Mai; Guocheng Qian; Ruoshi Liu; Carl Vondrick; Bernard Ghanem; Andrea Vedaldi (CVPR, 2024)

pix2gestalt: Amodal Segmentation by Synthesizing Wholes. - Ege Ozguroglu; Ruoshi Liu; Dídac Surís; Dian Chen 005; Achal Dave; Pavel Tokmakov; Carl Vondrick (CVPR, 2024)

EraseDraw: Learning to Insert Objects by Erasing Them from Images. - Alper Canberk; Maksym Bondarenko; Ege Ozguroglu; Ruoshi Liu; Carl Vondrick (ECCV (79), 2024)

Evolving Interpretable Visual Classifiers with Large Language Models. - Mia Chiquier; Utkarsh Mall; Carl Vondrick (ECCV (64), 2024)

Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis. - Basile Van Hoorick; Rundi Wu; Ege Ozguroglu; Kyle Sargent; Ruoshi Liu; Pavel Tokmakov; Achal Dave; Changxi Zheng; Carl Vondrick (ECCV (24), 2024)

How Video Meetings Change Your Expression. - Sumit Sarin; Utkarsh Mall; Purva Tendulkar; Carl Vondrick (ECCV (17), 2024)

Controlling the World by Sleight of Hand. - Sruthi Sudhakar; Ruoshi Liu; Basile Van Hoorick; Carl Vondrick; Richard S. Zemel (ECCV (30), 2024)

Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities. - Sachit Menon; Richard S. Zemel; Carl Vondrick (EMNLP, 2024)

INViTE: INterpret and Control Vision-Language Models with Text Explanations. - Haozhe Chen; Junfeng Yang; Carl Vondrick; Chengzhi Mao (ICLR, 2024)

Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment. - Utkarsh Mall; Cheng Perng Phoo; Meilin Kelsey Liu; Carl Vondrick; Bharath Hariharan; Kavita Bala (ICLR, 2024)

Raidar: geneRative AI Detection viA Rewriting. - Chengzhi Mao; Carl Vondrick; Hao Wang 014; Junfeng Yang (ICLR, 2024)

Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape. - Rundi Wu; Ruoshi Liu; Carl Vondrick; Changxi Zheng (ICLR, 2024)

SelfIE: Self-Interpretation of Large Language Model Embeddings. - Haozhe Chen; Carl Vondrick; Chengzhi Mao (ICML, 2024)

MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting. - Arnold Caleb Asiimwe; Didac Suris Coll-Vinent; Pranav Rajpurkar; Carl Vondrick (MLHC, 2024)

MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System. - Ansel Blume; Khanh Duy Nguyen; Zhenhailong Wang; Yangyi Chen; Michal Shlapentokh-Rothman; Xiaomeng Jin; Jeonghwan Kim; Zhen Zhu 006; Jiateng Liu; Kuan-Hao Huang; Mankeerat Sidhu; Xuanming Zhang; et al. (ACM Multimedia, 2024)

PaperBot: Learning to Design Real-World Tools Using Paper. - Ruoshi Liu; Junbang Liang; Sruthi Sudhakar; Huy Ha; Cheng Chi; Shuran Song; Carl Vondrick (CoRR, 2024)

See It from My Perspective: Diagnosing the Western Cultural Bias of Large Vision-Language Models in Image Understanding. - Amith Ananthram; Elias Stengel-Eskin; Carl Vondrick; Mohit Bansal; Kathleen R. McKeown (CoRR, 2024)

Self-Improving Autonomous Underwater Manipulation. - Ruoshi Liu; Huy Ha; Mengxue Hou; Shuran Song; Carl Vondrick (CoRR, 2024)

MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting. - Arnold Caleb Asiimwe; Dídac Surís; Pranav Rajpurkar; Carl Vondrick (CoRR, 2024)

Task Bias in Contrastive Vision-Language Models. - Sachit Menon; Ishaan Preetam Chandratreya; Carl Vondrick (Int. J. Comput. Vis., 2024)

DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery. - Utkarsh Mall; Cheng Perng Phoo; Mia Chiquier; Bharath Hariharan; Kavita Bala; Carl Vondrick (CVPR, 2025)

Generative Data Mining with Longtail-Guided Diffusion. - David S. Hayden; Mao Ye 006; Timur Garipov; Gregory P. Meyer; Carl Vondrick; Zhao Chen; Yuning Chai; Eric M. Wolff; Siddhartha S. Srinivasa (CoRR, 2025)

Teaching Humans Subtle Differences with DIFFusion. - Mia Chiquier; Orr Avrech; Yossi Gandelsman; Berthy Feng; Katherine L. Bouman; Carl Vondrick (CoRR, 2025)

Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025. - Nitya Thakkar; Mert Yüksekgönül; Jake Silberg; Animesh Garg; Nanyun Peng 001; Fei Sha; Rose Yu; Carl Vondrick; James Zou 001 (CoRR, 2025)

Towards LLM Agents for Earth Observation. - Chia-Hsiang Kao; Wenting Zhao; Shreelekha Revankar; Samuel Speas; Snehal Bhagat; Rajeev Datta; Cheng Perng Phoo; Utkarsh Mall; Carl Vondrick; Kavita Bala; Bharath Hariharan (CoRR, 2025)

MINERVA: Evaluating Complex Video Reasoning. - Arsha Nagrani; Sachit Menon; Ahmet Iscen; Shyamal Buch; Ramin Mehran; Nilpa Jha; Anja Hauth; Yukun Zhu; Carl Vondrick; Mikhail Sirotenko; Cordelia Schmid; Tobias Weyand (CoRR, 2025)

Video Generators are Robot Policies. - Junbang Liang; Pavel Tokmakov; Ruoshi Liu; Sruthi Sudhakar; Paarth Shah; Rares Ambrus; Carl Vondrick (CoRR, 2025)