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06/06/2023
Vid2Act: Activate Offline Videos for Visual RL
Pretraining RL models on offline video datasets is a promising way to im...
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05/24/2023
Collaborative World Models: An Online-Offline Transfer RL Approach
Training visual reinforcement learning (RL) models in offline datasets i...
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04/30/2023
Object-Centric Voxelization of Dynamic Scenes via Inverse Neural Rendering
Understanding the compositional dynamics of the world in unsupervised 3D...
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03/27/2023
Model-Based Reinforcement Learning with Isolated Imaginations
World models learn the consequences of actions in vision-based interacti...
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03/12/2023
Improving Masked Autoencoders by Learning Where to Mask
Masked image modeling is a promising self-supervised learning method for...
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03/12/2023
Predictive Experience Replay for Continual Visual Control and Forecasting
Learning physical dynamics in a series of non-stationary environments is...
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05/27/2022
Isolating and Leveraging Controllable and Noncontrollable Visual Dynamics in World Models
World models learn the consequences of actions in vision-based interacti...
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04/15/2022
MetaSets: Meta-Learning on Point Sets for Generalizable Representations
Deep learning techniques for point clouds have achieved strong performan...
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04/12/2022
Continual Predictive Learning from Videos
Predictive learning ideally builds the world model of physical processes...
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03/03/2022
NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields
Deep learning has shown great potential for modeling the physical dynami...
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12/08/2021
Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid
Restoring reasonable and realistic content for arbitrary missing regions...
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11/07/2021
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation
We consider a new problem of adapting a human mesh reconstruction model ...
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10/08/2021
ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning
Learning predictive models for unlabeled spatiotemporal data is challeng...
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06/14/2021
Context-Aware Image Inpainting with Learned Semantic Priors
Recent advances in image inpainting have shown impressive results for ge...
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03/30/2021
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction
This paper considers a new problem of adapting a pre-trained model of hu...
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03/17/2021
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
The predictive learning of spatiotemporal sequences aims to generate fut...
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12/14/2020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Unsupervised domain adaptation (UDA) aims to transfer knowledge from a r...
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12/04/2020
Towards Good Practices of U-Net for Traffic Forecasting
This technical report presents a solution for the 2020 Traffic4Cast Chal...
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09/24/2020
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
This paper explores a new research problem of unsupervised transfer lear...
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03/05/2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
This work addresses the unsupervised domain adaptation problem, especial...
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12/08/2019
Adversarial Pyramid Network for Video Domain Generalization
This paper introduces a new research problem of video domain generalizat...
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09/28/2019
Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs
We present the DualSMC network that solves continuous POMDPs by learning...
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08/02/2019
DELTA: A DEep learning based Language Technology plAtform
In this paper we present DELTA, a deep learning based language technolog...
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03/04/2019
Spatiotemporal Pyramid Network for Video Action Recognition
Two-stream convolutional networks have shown strong performance in video...
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11/20/2018
Reversing Two-Stream Networks with Decoding Discrepancy Penalty for Robust Action Recognition
We discuss the robustness and generalization ability in the realm of act...
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11/19/2018
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics
Natural spatiotemporal processes can be highly non-stationary in many wa...
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10/17/2018
Recognizing Partial Biometric Patterns
Biometric recognition on partial captured targets is challenging, where ...
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04/17/2018