Ruben Villegas

According to our database, Ruben Villegas authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Generative Visual Instruction Tuning.

Jefferson Hernandez, Ruben Villegas, Vicente Ordonez

CoRR, 2024

Text Prompting for Multi-Concept Video Customization by Autoregressive Generation.

Divya Kothandaraman, Kihyuk Sohn, Ruben Villegas, Paul Voigtlaender, Dinesh Manocha, Mohammad Babaeizadeh

CoRR, 2024

ViC-MAE: Self-supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders.

Jefferson Hernandez, Ruben Villegas, Vicente Ordonez

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Visual Representation Learning from Unlabeled Video using Contrastive Masked Autoencoders.

Jefferson Hernandez, Ruben Villegas, Vicente Ordonez

CoRR, 2023

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization.

Emanuele Bugliarello, H. Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions.

Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Phenaki: Variable Length Video Generation From Open Domain Textual Description.

Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan

CoRR, 2022

RiCS: A 2D Self-Occlusion Map for Harmonizing Volumetric Objects.

Yunseok Jang, Ruben Villegas, Jimei Yang, Duygu Ceylan, Xin Sun, Honglak Lee

CoRR, 2022

2021

Single-image Full-body Human Relighting.

Manuel Lagunas, Xin Sun, Jimei Yang, Ruben Villegas, Jianming Zhang, Zhixin Shu, Belén Masiá, Diego Gutierrez

Proceedings of the 32nd Eurographics Symposium on Rendering, 2021

Contact-Aware Retargeting of Skinned Motion.

Ruben Villegas, Duygu Ceylan, Aaron Hertzmann, Jimei Yang, Jun Saito

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Stochastic Scene-Aware Motion Prediction.

Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, Michael J. Black

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Task-Generic Hierarchical Human Motion Prior using VAEs.

Jiaman Li, Ruben Villegas, Duygu Ceylan, Jimei Yang, Zhengfei Kuang, Hao Li, Yajie Zhao

Proceedings of the International Conference on 3D Vision, 2021

2020

Contact and Human Dynamics from Monocular Video.

Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan C. Russell, Ruben Villegas, Jimei Yang

Proceedings of the 19th ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2020, 2020

2019

Modeling Structured Dynamics with Deep Neural Networks.

Ruben Villegas

PhD thesis, 2019

High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks.

Ruben Villegas, Arkanath Pathak, Harini Kannan, Dumitru Erhan, Quoc V. Le, Honglak Lee

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unsupervised learning of object structure and dynamics from videos.

Matthias Minderer, Chen Sun, Ruben Villegas, Forrester Cole, Kevin P. Murphy, Honglak Lee

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Latent Dynamics for Planning from Pixels.

Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Hierarchical Long-term Video Prediction without Supervision.

Nevan Wichers, Ruben Villegas, Dumitru Erhan, Honglak Lee

Proceedings of the 35th International Conference on Machine Learning, 2018

MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics.

Xinchen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Ersin Yumer, Honglak Lee

Proceedings of the Computer Vision - ECCV 2018, 2018

Neural Kinematic Networks for Unsupervised Motion Retargetting.

Ruben Villegas, Jimei Yang, Duygu Ceylan, Honglak Lee

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Learning to Generate Long-term Future via Hierarchical Prediction.

Ruben Villegas, Jimei Yang, Yuliang Zou, Sungryull Sohn, Xunyu Lin, Honglak Lee

Proceedings of the 34th International Conference on Machine Learning, 2017

Decomposing Motion and Content for Natural Video Sequence Prediction.

Ruben Villegas, Jimei Yang, Seunghoon Hong, Xunyu Lin, Honglak Lee

Proceedings of the 5th International Conference on Learning Representations, 2017

2015

Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction.

Yuting Zhang, Kihyuk Sohn, Ruben Villegas, Gang Pan, Honglak Lee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders.

Afshin Dehghan, Enrique G. Ortiz, Ruben Villegas, Mubarak Shah

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014