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Ruben Villegas

15 papers · 2014–2024 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (29) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ—ƒοΈ Keyword Collector (64) πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter

Venues

CVPR (3) ECCV (3) ICML (3) NeurIPS (3) ICCV (2) ICLR (1)

Top co-authors

Honglak Lee (8) Jimei Yang (5) Dumitru Erhan (4) Duygu Ceylan (3) Pieter-jan Kindermans (2) Aaron Hertzmann (2) Jun Saito (2) Mohammad Babaeizadeh (2) Mohammad Taghi Saffar (2) Han Zhang (2)

Research topics

Computer Vision (11) Deep Learning (9) Machine Learning (6) Analysis (6) Architectures (6) Generation (4) Processing (4) Core Methods (3) Learning Types Β· Deep Learning (3) Artificial Intelligence (2) Core AI (2) Learning Types Β· Machine Learning (2) Models (2) Robotics (1) Application Areas (1)

Keywords

video prediction (4) recurrent neural network (3) unsupervised learning (3) video generation (2) long-term prediction (2) convolutional neural network (2) hierarchical prediction (2) structured prediction (1) feature extraction (1) benchmark evaluation (1) face recognition (1) video understanding (1) adversarial training (1) story visualization (1) large-scale learning (1) variational inference (1) human motion (1) dynamics modeling (1) object detection (1) deep learning (1)

Papers

ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders ECCV 2024 Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions ICLR 2023 StoryBench: A Multifaceted Benchmark for Continuous Story Visualization NeurIPS 2023 Contact-Aware Retargeting of Skinned Motion ICCV 2021 Stochastic Scene-Aware Motion Prediction ICCV 2021 Contact and Human Dynamics from Monocular Video ECCV 2020 High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks NeurIPS 2019 Learning Latent Dynamics for Planning from Pixels ICML 2019 Unsupervised learning of object structure and dynamics from videos NeurIPS 2019 Hierarchical Long-term Video Prediction without Supervision ICML 2018 MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics ECCV 2018 Neural Kinematic Networks for Unsupervised Motion Retargetting CVPR 2018 Learning to Generate Long-term Future via Hierarchical Prediction ICML 2017 Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction CVPR 2015 Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders CVPR 2014