b'Hao Dong'

research

∙ 09/20/2023

Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions

Visual language navigation (VLN) is an embodied task demanding a wide ra...

0 Yuxing Long, et al. ∙

research

∙ 09/19/2023

Semi-supervised Domain Adaptation in Graph Transfer Learning

As a specific case of graph transfer learning, unsupervised domain adapt...

0 Ziyue Qiao, et al. ∙

research

∙ 09/19/2023

Bridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill

Zero-shot object navigation is a challenging task for home-assistance ro...

0 Wenzhe Cai, et al. ∙

research

∙ 09/15/2023

Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation

The task of Visual Object Navigation (VON) involves an agent's ability t...

0 Hongcheng Wang, et al. ∙

research

∙ 09/14/2023

Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions

Perceiving and manipulating 3D articulated objects in diverse environmen...

0 Kai Cheng, et al. ∙

research

∙ 09/14/2023

Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects

Articulated object manipulation is a fundamental yet challenging task in...

0 Chuanruo Ning, et al. ∙

research

∙ 09/13/2023

Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly

Shape assembly aims to reassemble parts (or fragments) into a complete o...

0 Ruihai Wu, et al. ∙

research

∙ 09/12/2023

Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping

The use of anthropomorphic robotic hands for assisting individuals in si...

0 Tianhao Wu, et al. ∙

research

∙ 09/08/2023

Score-PA: Score-based 3D Part Assembly

Autonomous 3D part assembly is a challenging task in the areas of roboti...

0 Junfeng Cheng, et al. ∙

research

∙ 09/06/2023

Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning

Temporal Knowledge Graph (TKG) is an extension of traditional Knowledge ...

0 Hao Dong, et al. ∙

research

∙ 08/22/2023

Statistical higher-order multi-scale method for nonlinear thermo-mechanical simulation of random composite materials with temperature-dependent properties

Stochastic multi-scale modeling and simulation for nonlinear thermo-mech...

0 Hao Dong, et al. ∙

research

∙ 08/22/2023

Higher-order multi-scale method for high-accuracy nonlinear thermo-mechanical simulation of heterogeneous shells

In the present work, we consider multi-scale computation and convergence...

0 Hao Dong, et al. ∙

research

∙ 07/28/2023

Higher-order multi-scale deep Ritz method for multi-scale problems of authentic composite materials

The direct deep learning simulation for multi-scale problems remains a c...

0 Jiale Linghu, et al. ∙

research

∙ 07/22/2023

Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation from Image Sequence

In this work, we tackle the problem of online camera-to-robot pose estim...

0 Yang Tian, et al. ∙

research

∙ 06/18/2023

GenPose: Generative Category-level Object Pose Estimation via Diffusion Models

Object pose estimation plays a vital role in embodied AI and computer vi...

0 Jiyao Zhang, et al. ∙

research

∙ 05/18/2023

Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Foundation models have made significant strides in various applications,...

3 Siyuan Huang, et al. ∙

research

∙ 05/04/2023

Personalize Segment Anything Model with One Shot

Driven by large-data pre-training, Segment Anything Model (SAM) has been...

4 Renrui Zhang, et al. ∙

research

∙ 04/25/2023

Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning

Temporal knowledge graph (TKG) reasoning aims to predict the future miss...

0 Hao Dong, et al. ∙

research

∙ 04/21/2023

Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation

Visual-audio navigation (VAN) is attracting more and more attention from...

0 Hongcheng Wang, et al. ∙

research

∙ 04/10/2023

Learning a Universal Human Prior for Dexterous Manipulation from Human Preference

Generating human-like behavior on robots is a great challenge especially...

0 Zihan Ding, et al. ∙

research

∙ 03/29/2023

Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks

We study building a multi-task agent in Minecraft. Without human demonst...

0 Haoqi Yuan, et al. ∙

research

∙ 03/20/2023

Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation

Understanding and manipulating deformable objects (e.g., ropes and fabri...

0 Ruihai Wu, et al. ∙

research

∙ 02/02/2023

Resilient Binary Neural Network

Binary neural networks (BNNs) have received ever-increasing popularity f...

0 Sheng Xu, et al. ∙

research

∙ 12/16/2022

GFPose: Learning 3D Human Pose Prior with Gradient Fields

Learning 3D human pose prior is essential to human-centered AI. Here, we...

5 Hai Ci, et al. ∙

research

∙ 11/28/2022

SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation and Prediction

High-definition (HD) semantic map generation of the environment is an es...

3 Hao Dong, et al. ∙

research

∙ 09/27/2022

Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors

A distinctive representation of image patches in form of features is a k...

0 Hao Dong, et al. ∙

research

∙ 09/25/2022

Collaboration of Pre-trained Models Makes Better Few-shot Learner

Few-shot classification requires deep neural networks to learn generaliz...

28 Renrui Zhang, et al. ∙

research

∙ 09/16/2022

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification

The peer merit review of research proposals has been the major mechanism...

0 Meng Xiao, et al. ∙

research

∙ 09/02/2022

TarGF: Learning Target Gradient Field for Object Rearrangement

Object Rearrangement is to move objects from an initial state to a goal ...

1 Mingdong Wu, et al. ∙

research

∙ 08/15/2022

Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments

Robust and accurate localization is a basic requirement for mobile auton...

0 Hao Dong, et al. ∙

research

∙ 07/05/2022

DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Object Manipulation

It is essential yet challenging for future home-assistant robots to unde...

3 Yan Zhao, et al. ∙

research

∙ 03/04/2022

GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning

Grasping moving objects, such as goods on a belt or living animals, is a...

0 Tianhao Wu, et al. ∙

research

∙ 12/19/2021

RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment

Part assembly is a typical but challenging task in robotics, where robot...

6 Mingxin Yu, et al. ∙

research

∙ 12/10/2021

Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information

In clinical medicine, magnetic resonance imaging (MRI) is one of the mos...

0 Jiahao Huang, et al. ∙

research

∙ 12/01/2021

AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions

Perceiving and interacting with 3D articulated objects, such as cabinets...

7 Yian Wang, et al. ∙

research

∙ 08/26/2021

Fast and Flexible Human Pose Estimation with HyperPose

Estimating human pose is an important yet challenging task in multimedia...

0 Yixiao Guo, et al. ∙

research

∙ 08/19/2021

Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments

Reliable and accurate localization is crucial for mobile autonomous syst...

0 Hao Dong, et al. ∙

research

∙ 08/09/2021

Dynamic Balancing of Humanoid Robot Walker3 with Proprioceptive Actuation: Systematic Design of Algorithm, Software and Hardware

Dynamic balancing under uncertain disturbances is important for a humano...

0 Yan Xie, et al. ∙

research

∙ 07/06/2021

Contrastive Multimodal Fusion with TupleInfoNCE

This paper proposes a method for representation learning of multimodal d...

7 Yunze Liu, et al. ∙

research

∙ 06/28/2021

VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects

Perceiving and manipulating 3D articulated objects (e.g., cabinets, door...

0 Ruihai Wu, et al. ∙

research

∙ 04/19/2021

Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning

Deep reinforcement learning (DRL) has successfully solved various proble...

0 Jie Ren, et al. ∙

research

∙ 03/29/2021

Product semantics translation from brain activity via adversarial learning

A small change of design semantics may affect a user's satisfaction with...

0 Pan Wang, et al. ∙

research

∙ 03/07/2021

Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos

Learning an accurate model of the environment is essential for model-bas...

0 Haoqi Yuan, et al. ∙

research

∙ 02/22/2021

LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding

Knowledge graph embedding (KGE) models learn to project symbolic entitie...

0 Zhiyuan Ning, et al. ∙

research

∙ 12/24/2020

P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding

Self-supervised representation learning is a critical problem in compute...

2 Yunze Liu, et al. ∙

research

∙ 11/18/2020

End-to-End Object Detection with Adaptive Clustering Transformer

End-to-end Object Detection with Transformer (DETR)proposes to perform o...

0 Minghang Zheng, et al. ∙

research

∙ 09/30/2020

Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification

Mammogram benign or malignant classification with only image-level label...

1 Chu-ran Wang, et al. ∙

research

∙ 09/20/2020

Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control

Decentralized multi-agent control has broad applications, ranging from m...

0 Qingrui Zhang, et al. ∙

research

∙ 09/18/2020

RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library

Recently, we have seen a rapidly growing adoption of Deep Reinforcement ...

0 Zihan Ding, et al. ∙

research

∙ 06/14/2020

Generative 3D Part Assembly via Dynamic Graph Learning

Autonomous part assembly is a challenging yet crucial task in 3D compute...

27 Jialei Huang, et al. ∙

Hao Dong

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