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08/24/2023
SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection
Multi-modal fusion is increasingly being used for autonomous driving tas...
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08/18/2023
TrOMR:Transformer-Based Polyphonic Optical Music Recognition
Optical Music Recognition (OMR) is an important technology in music and ...
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07/26/2023
Heterogeneous Embodied Multi-Agent Collaboration
Multi-agent embodied tasks have recently been studied in complex indoor ...
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05/14/2023
Path Planning for Air-Ground Robot Considering Modal Switching Point Optimization
An innovative sort of mobility platform that can both drive and fly is t...
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04/23/2023
Informative Data Selection with Uncertainty for Multi-modal Object Detection
Noise has always been nonnegligible trouble in object detection by creat...
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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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12/01/2022
Mixed Neural Voxels for Fast Multi-view Video Synthesis
Synthesizing high-fidelity videos from real-world multi-view input is ch...
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11/08/2022
Coupled Modeling and Fusion Control for a Multi-modal Deformable Land-air Robot
This paper introduces a structure-deformable land-air robot which posses...
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10/30/2022
A Multi-modal Deformable Land-air Robot for Complex Environments
Single locomotion robots often struggle to adapt in highly variable or u...
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10/06/2022
Embodied Referring Expression for Manipulation Question Answering in Interactive Environment
Embodied agents are expected to perform more complicated tasks in an int...
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09/06/2022
CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion
3D Multi-object tracking (MOT) ensures consistency during continuous dyn...
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07/23/2022
Intelligent Amphibious Ground-Aerial Vehicles: State of the Art Technology for Future Transportation
Amphibious ground-aerial vehicles fuse flying and driving modes to enabl...
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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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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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01/29/2022
Continual Learning with Recursive Gradient Optimization
Learning multiple tasks sequentially without forgetting previous knowled...
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01/26/2022
An Automated Question-Answering Framework Based on Evolution Algorithm
Building a deep learning model for a Question-Answering (QA) task requir...
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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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10/14/2021
Self-Supervised Learning by Estimating Twin Class Distributions
We present TWIST, a novel self-supervised representation learning method...
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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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03/20/2021
A novel multimodal fusion network based on a joint coding model for lane line segmentation
There has recently been growing interest in utilizing multimodal sensors...
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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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12/15/2020
Understanding the Behaviour of Contrastive Loss
Unsupervised contrastive learning has achieved outstanding success, whil...
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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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11/06/2020
Adversarial Skill Learning for Robust Manipulation
Deep reinforcement learning has made significant progress in robotic man...
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04/30/2020
Towards Embodied Scene Description
Embodiment is an important characteristic for all intelligent agents (cr...
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04/13/2020
Joint User Identification and Channel Estimation Over Rician Fading Channels
This paper considers crowded massive multiple input multiple output (MIM...
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03/15/2020
Energy-based Periodicity Mining with Deep Features for Action Repetition Counting in Unconstrained Videos
Action repetition counting is to estimate the occurrence times of the re...
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03/10/2020
MQA: Answering the Question via Robotic Manipulation
In this paper,we propose a novel task of Manipulation Question Answering...
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03/02/2020
Fabric Defect Detection Using Vision-Based Tactile Sensor
This paper introduces a new type of system for fabric defect detection w...
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11/16/2019
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance
In this paper, we study Reinforcement Learning from Demonstrations (RLfD...
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10/10/2019
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
This paper studies Learning from Observations (LfO) for imitation learni...
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09/17/2019
Deep Point-wise Prediction for Action Temporal Proposal
Detecting actions in videos is an important yet challenging task. Previo...
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09/04/2019
PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction
Pose prediction is to predict future poses given a window of previous po...
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04/08/2019
FoveaBox: Beyond Anchor-based Object Detector
We present FoveaBox, an accurate, flexible and completely anchor-free fr...
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01/19/2019
Consistent Optimization for Single-Shot Object Detection
We present consistent optimization for single stage object detection. Pr...
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08/24/2018
Deep Feature Pyramid Reconfiguration for Object Detection
State-of-the-art object detectors usually learn multi-scale representati...
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05/18/2018
Learning and Inference Movement with Deep Generative Model
Learning and inference movement is a very challenging problem due to its...
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05/12/2018
Adversarial Task Transfer from Preference
Task transfer is extremely important for reinforcement learning, since i...
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07/06/2017
