Yunbo Wang | DeepAI

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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...

0 Minting Pan, et al. ∙

∙ 05/24/2023

Collaborative World Models: An Online-Offline Transfer RL Approach

Training visual reinforcement learning (RL) models in offline datasets i...

0 Qi Wang, et al. ∙

∙ 04/30/2023

Object-Centric Voxelization of Dynamic Scenes via Inverse Neural Rendering

Understanding the compositional dynamics of the world in unsupervised 3D...

0 Siyu Gao, et al. ∙

∙ 03/27/2023

Model-Based Reinforcement Learning with Isolated Imaginations

World models learn the consequences of actions in vision-based interacti...

0 Minting Pan, et al. ∙

∙ 03/12/2023

Improving Masked Autoencoders by Learning Where to Mask

Masked image modeling is a promising self-supervised learning method for...

0 Haijian Chen, et al. ∙

∙ 03/12/2023

Predictive Experience Replay for Continual Visual Control and Forecasting

Learning physical dynamics in a series of non-stationary environments is...

0 Wendong Zhang, et al. ∙

∙ 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...

0 Minting Pan, et al. ∙

∙ 04/15/2022

MetaSets: Meta-Learning on Point Sets for Generalizable Representations

Deep learning techniques for point clouds have achieved strong performan...

5 Chao Huang, et al. ∙

∙ 04/12/2022

Continual Predictive Learning from Videos

Predictive learning ideally builds the world model of physical processes...

0 Wendong Zhang, et al. ∙

∙ 03/03/2022

NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields

Deep learning has shown great potential for modeling the physical dynami...

0 Shanyan Guan, et al. ∙

∙ 12/08/2021

Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid

Restoring reasonable and realistic content for arbitrary missing regions...

3 Wendong Zhang, et al. ∙

∙ 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 ...

4 Shanyan Guan, et al. ∙

∙ 10/08/2021

ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning

Learning predictive models for unlabeled spatiotemporal data is challeng...

0 Zhiyu Yao, et al. ∙

∙ 06/14/2021

Context-Aware Image Inpainting with Learned Semantic Priors

Recent advances in image inpainting have shown impressive results for ge...

0 Wendong Zhang, et al. ∙

∙ 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...

0 Shanyan Guan, et al. ∙

∙ 03/17/2021

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning

The predictive learning of spatiotemporal sequences aims to generate fut...

86 Yunbo Wang, et al. ∙

∙ 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...

0 Jian Liang, et al. ∙

∙ 12/04/2020

Towards Good Practices of U-Net for Traffic Forecasting

This technical report presents a solution for the 2020 Traffic4Cast Chal...

0 Jingwei Xu, et al. ∙

∙ 09/24/2020

Unsupervised Transfer Learning for Spatiotemporal Predictive Networks

This paper explores a new research problem of unsupervised transfer lear...

0 Zhiyu Yao, et al. ∙

∙ 03/05/2020

A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation

This work addresses the unsupervised domain adaptation problem, especial...

0 Jian Liang, et al. ∙

∙ 12/08/2019

Adversarial Pyramid Network for Video Domain Generalization

This paper introduces a new research problem of video domain generalizat...

0 Zhiyu Yao, et al. ∙

∙ 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...

15 Yunbo Wang, et al. ∙

∙ 08/02/2019

DELTA: A DEep learning based Language Technology plAtform

In this paper we present DELTA, a deep learning based language technolog...

0 Kun Han, et al. ∙

∙ 03/04/2019

Spatiotemporal Pyramid Network for Video Action Recognition

Two-stream convolutional networks have shown strong performance in video...

8 Yunbo Wang, et al. ∙

∙ 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...

0 Yunbo Wang, et al. ∙

∙ 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...

0 Yunbo Wang, et al. ∙

∙ 10/17/2018

Recognizing Partial Biometric Patterns

Biometric recognition on partial captured targets is challenging, where ...

0 Lingxiao He, et al. ∙

∙ 04/17/2018

PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning

We present PredRNN++, an improved recurrent network for video predictive...

0 Yunbo Wang, et al. ∙

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