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08/19/2023
Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos
This work focuses on the 3D reconstruction of non-rigid objects based on...
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07/18/2023
Towards the Sparseness of Projection Head in Self-Supervised Learning
In recent years, self-supervised learning (SSL) has emerged as a promisi...
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06/28/2023
A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning
Due to limitations in data quality, some essential visual tasks are diff...
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06/21/2023
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks
It has been discovered that Graph Convolutional Networks (GCNs) encounte...
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06/05/2023
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
Learning high-quality Q-value functions plays a key role in the success ...
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05/30/2023
Subequivariant Graph Reinforcement Learning in 3D Environments
Learning a shared policy that guides the locomotion of different agents ...
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05/23/2023
SE-Bridge: Speech Enhancement with Consistent Brownian Bridge
We propose SE-Bridge, a novel method for speech enhancement (SE). After ...
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03/25/2023
Compacting Binary Neural Networks by Sparse Kernel Selection
Binary Neural Network (BNN) represents convolution weights with 1-bit va...
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03/09/2023
Intriguing Property of GAN for Remote Sensing Image Generation
Generative adversarial networks (GANs) have achieved remarkable progress...
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02/21/2023
Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment
In this paper, a novel robotic grasping system is established to automat...
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02/10/2023
A Survey on Causal Reinforcement Learning
While Reinforcement Learning (RL) achieves tremendous success in sequent...
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01/20/2023
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective
Benefiting from the injection of human prior knowledge, graphs, as deriv...
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01/19/2023
Tacchi: A Pluggable and Low Computational Cost Elastomer Deformation Simulator for Optical Tactile Sensors
Simulation is widely applied in robotics research to save time and resou...
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12/22/2022
Timestamp-Supervised Action Segmentation in the Perspective of Clustering
Video action segmentation aims to slice the video into several action se...
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12/04/2022
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks
Adversarial attacks can easily fool object recognition systems based on ...
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10/30/2022
SRTNet: Time Domain Speech Enhancement Via Stochastic Refinement
Diffusion model, as a new generative model which is very popular in imag...
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10/16/2022
Learning 6-DoF Task-oriented Grasp Detection via Implicit Estimation and Visual Affordance
Currently, task-oriented grasp detection approaches are mostly based on ...
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10/15/2022
When to Update Your Model: Constrained Model-based Reinforcement Learning
Designing and analyzing model-based RL (MBRL) algorithms with guaranteed...
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10/04/2022
Bridged Transformer for Vision and Point Cloud 3D Object Detection
3D object detection is a crucial research topic in computer vision, whic...
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10/04/2022
Pay Self-Attention to Audio-Visual Navigation
Audio-visual embodied navigation, as a hot research topic, aims training...
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08/26/2022
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective
Few-shot learning models learn representations with limited human annota...
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08/18/2022
Robust Causal Graph Representation Learning against Confounding Effects
The prevailing graph neural network models have achieved significant pro...
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07/16/2022
Scene Graph for Embodied Exploration in Cluttered Scenario
The ability to handle objects in cluttered environment has been long ant...
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06/23/2022
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training
Graph instance contrastive learning has been proved as an effective task...
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06/03/2022
SNAKE: Shape-aware Neural 3D Keypoint Field
Detecting 3D keypoints from point clouds is important for shape reconstr...
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04/19/2022
Multimodal Token Fusion for Vision Transformers
Many adaptations of transformers have emerged to address the single-moda...
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03/15/2022
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation
After the great success of Vision Transformer variants (ViTs) in compute...
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03/12/2022
Equivariant Graph Mechanics Networks with Constraints
Learning to reason about relations and dynamics over multiple interactin...
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03/07/2022
Adversarial Texture for Fooling Person Detectors in the Physical World
Nowadays, cameras equipped with AI systems can capture and analyze image...
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02/22/2022
Sound Adversarial Audio-Visual Navigation
Audio-visual navigation task requires an agent to find a sound source in...
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02/22/2022
Equivariant Graph Hierarchy-Based Neural Networks
Equivariant Graph neural Networks (EGNs) are powerful in characterizing ...
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02/01/2022
Sim2Real Object-Centric Keypoint Detection and Description
Keypoint detection and description play a central role in computer visio...
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01/26/2022
Self-supervised 3D Semantic Representation Learning for Vision-and-Language Navigation
In the Vision-and-Language Navigation task, the embodied agent follows l...
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01/11/2022
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
Recent works explore learning graph representations in a self-supervised...
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12/04/2021
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction
Multimodal fusion and multitask learning are two vital topics in machine...
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10/18/2021
Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks
In the low-bit quantization field, training Binary Neural Networks (BNNs...
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09/22/2021
Audio-Visual Grounding Referring Expression for Robotic Manipulation
Referring expressions are commonly used when referring to a specific tar...
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09/20/2021
Multi-Agent Embodied Visual Semantic Navigation with Scene Prior Knowledge
In visual semantic navigation, the robot navigates to a target object wi...
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09/16/2021
Knowledge-based Embodied Question Answering
In this paper, we propose a novel Knowledge-based Embodied Question Answ...
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08/11/2021
Elastic Tactile Simulation Towards Tactile-Visual Perception
Tactile sensing plays an important role in robotic perception and manipu...
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08/11/2021
Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion
We propose a compact and effective framework to fuse multimodal features...
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07/01/2021
TransSC: Transformer-based Shape Completion for Grasp Evaluation
Currently, robotic grasping methods based on sparse partial point clouds...
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06/10/2021
Adversarial Option-Aware Hierarchical Imitation Learning
It has been a challenge to learning skills for an agent from long-horizo...
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03/17/2021
A Robust Tube-Based Smooth-MPC for Robot Manipulator Planning
Model Predictive Control (MPC) has shown the great performance of target...
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11/23/2020
Elastic Interaction of Particles for Robotic Tactile Simulation
Tactile sensing plays an important role in robotic perception and manipu...
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11/17/2020
Fault-Aware Robust Control via Adversarial Reinforcement Learning
Robots have limited adaptation ability compared to humans and animals in...
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11/10/2020
Deep Multimodal Fusion by Channel Exchanging
Deep multimodal fusion by using multiple sources of data for classificat...
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11/06/2020
Adversarial Skill Learning for Robust Manipulation
Deep reinforcement learning has made significant progress in robotic man...
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08/22/2020
Tackling Over-Smoothing for General Graph Convolutional Networks
Increasing the depth of Graph Convolutional Networks (GCN), which in pri...
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08/09/2020