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...
share
research
∙
09/19/2023
Semi-supervised Domain Adaptation in Graph Transfer Learning
As a specific case of graph transfer learning, unsupervised domain adapt...
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...
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...
research
∙
09/14/2023
Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions
Perceiving and manipulating 3D articulated objects in diverse environmen...
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...
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...
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...
research
∙
09/08/2023
Score-PA: Score-based 3D Part Assembly
Autonomous 3D part assembly is a challenging task in the areas of roboti...
research
∙
09/06/2023
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
Temporal Knowledge Graph (TKG) is an extension of traditional Knowledge ...
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...
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...
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...
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...
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...
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,...
research
∙
05/04/2023
Personalize Segment Anything Model with One Shot
Driven by large-data pre-training, Segment Anything Model (SAM) has been...
research
∙
04/25/2023
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
Temporal knowledge graph (TKG) reasoning aims to predict the future miss...
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...
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...
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...
research
∙
03/20/2023
Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation
Understanding and manipulating deformable objects (e.g., ropes and fabri...
research
∙
02/02/2023
Resilient Binary Neural Network
Binary neural networks (BNNs) have received ever-increasing popularity f...
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...
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...
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...
research
∙
09/25/2022
Collaboration of Pre-trained Models Makes Better Few-shot Learner
Few-shot classification requires deep neural networks to learn generaliz...
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...
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 ...
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...
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...
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...
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...
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...
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...
research
∙
08/26/2021
Fast and Flexible Human Pose Estimation with HyperPose
Estimating human pose is an important yet challenging task in multimedia...
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...
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...
research
∙
07/06/2021
Contrastive Multimodal Fusion with TupleInfoNCE
This paper proposes a method for representation learning of multimodal d...
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...
research
∙
04/19/2021
Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning
Deep reinforcement learning (DRL) has successfully solved various proble...
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...
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...
research
∙
02/22/2021
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding
Knowledge graph embedding (KGE) models learn to project symbolic entitie...
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...
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...
research
∙
09/30/2020
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
Mammogram benign or malignant classification with only image-level label...
research
∙
09/20/2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control
Decentralized multi-agent control has broad applications, ranging from m...
research
∙
09/18/2020
RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library
Recently, we have seen a rapidly growing adoption of Deep Reinforcement ...
research
∙
06/14/2020