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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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06/05/2023
Deep Active Learning with Structured Neural Depth Search
Previous work optimizes traditional active learning (AL) processes with ...
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05/02/2023
SIA-FTP: A Spoken Instruction Aware Flight Trajectory Prediction Framework
Ground-air negotiation via speech communication is a vital prerequisite ...
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05/02/2023
FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework
Flight Trajectory Prediction (FTP) is an essential task in Air Traffic C...
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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...
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04/10/2023
PoseFusion: Robust Object-in-Hand Pose Estimation with SelectLSTM
Accurate estimation of the relative pose between an object and a robot h...
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01/28/2023
Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning
Precise robotic grasping of several novel objects is a huge challenge in...
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01/28/2023
Towards Accurate Acne Detection via Decoupled Sequential Detection Head
Accurate acne detection plays a crucial role in acquiring precise diagno...
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11/17/2022
Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection
Approximately 1.2 As a result, automatic dysphonic voice detection has a...
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10/18/2022
Embedded Silicon-Organic Integrated Neuromorphic System
The development of artificial intelligence (AI) and robotics are both ba...
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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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08/30/2022
Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using CycleGAN and Force Control
Recently, deep reinforcement learning (RL) has shown some impressive suc...
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08/12/2022
Maximizing the Use of Environmental Constraints: A Pushing-Based Hybrid Position/Force Assembly Skill for Contact-Rich Tasks
The need for contact-rich tasks is rapidly growing in modern manufacturi...
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07/21/2022
Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture
Automated data augmentation, which aims at engineering augmentation poli...
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07/08/2022
Learning High-quality Proposals for Acne Detection
Acne detection is crucial for interpretative diagnosis and precise treat...
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06/29/2022
Knowledge Distillation of Transformer-based Language Models Revisited
In the past few years, transformer-based pre-trained language models hav...
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03/14/2022
Impedance Adaptation by Reinforcement Learning with Contact Dynamic Movement Primitives
Dynamic movement primitives (DMPs) allow complex position trajectories t...
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11/11/2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey
Influenced by the great success of deep learning via cloud computing and...
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09/15/2021
Learning Friction Model for Magnet-actuated Tethered Capsule Robot
The potential diagnostic applications of magnet-actuated capsules have b...
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07/27/2021
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation
In the classic setting of unsupervised domain adaptation (UDA), the labe...
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07/19/2021
Learning compliant grasping and manipulation by teleoperation with adaptive force control
In this work, we focus on improving the robot's dexterous capability by ...
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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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04/22/2021
Restoring degraded speech via a modified diffusion model
There are many deterministic mathematical operations (e.g. compression, ...
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03/10/2021
Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks
Collaborative robots are expected to be able to work alongside humans an...
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03/02/2021
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds
It is often desired to train 6D pose estimation systems on synthetic dat...
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03/01/2021
M6: A Chinese Multimodal Pretrainer
In this work, we construct the largest dataset for multimodal pretrainin...
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02/18/2021
Dynamic Memory based Attention Network for Sequential Recommendation
Sequential recommendation has become increasingly essential in various o...
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02/18/2021
Sparse-Interest Network for Sequential Recommendation
Recent methods in sequential recommendation focus on learning an overall...
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12/25/2020
Extreme Flow Decomposition for Multi-Source Multicast with Intra-Session Network Coding
Network coding (NC), when combined with multipath routing, enables a lin...
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12/24/2020
Q-SR: An Extensible Optimization Framework for Segment Routing
Segment routing (SR) combines the advantages of source routing supported...
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10/25/2020
Proactive Action Visual Residual Reinforcement Learning for Contact-Rich Tasks Using a Torque-Controlled Robot
Contact-rich manipulation tasks are commonly found in modern manufacturi...
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08/24/2020
Cascade Convolutional Neural Network for Image Super-Resolution
With the development of the super-resolution convolutional neural networ...
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07/27/2020
Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation
Planar pushing remains a challenging research topic, where building the ...
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06/08/2020
Continuous Learning and Inference of Individual Probability of SARS-CoV-2 Infection Based on Interaction Data
This study presents a new approach to determine the likelihood of asympt...
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06/02/2020
Model-Based Compensation of Moving Tissue for State Recognition in Robotic-Assisted Pedicle Drilling
Drilling is one of the hardest parts of pedicle screw fixation, and it i...
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06/01/2020
Center-of-Mass-based Robust Grasp Planning for Unknown Objects Using Tactile-Visual Sensors
An unstable grasp pose can lead to slip, thus an unstable grasp pose can...
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05/20/2020
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
Deep candidate generation (DCG) that narrows down the collection of rele...
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05/20/2020
Contrastive Learning for Debiased Candidate Generation at Scale
Deep candidate generation has become an increasingly popular choice depl...
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05/19/2020
Controllable Multi-Interest Framework for Recommendation
Recently, neural networks have been widely used in e-commerce recommende...
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03/11/2020
A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU
In this paper, we present a multimodal mobile teleoperation system that ...
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02/29/2020
Robust Robotic Pouring using Audition and Haptics
Robust and accurate estimation of liquid height lies as an essential par...
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01/24/2020
6D Object Pose Regression via Supervised Learning on Point Clouds
This paper addresses the task of estimating the 6 degrees of freedom pos...
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07/04/2019
Dimensional Reweighting Graph Convolutional Networks
Graph Convolution Networks (GCNs) are becoming more and more popular for...
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05/05/2019
Representation Learning for Attributed Multiplex Heterogeneous Network
Network embedding (or graph embedding) has been widely used in many real...
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03/02/2019
Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring
In this paper, we focus on the challenging perception problem in robotic...
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10/09/2018
Using Sentiment Representation Learning to Enhance Gender Classification for User Profiling
User profiling means exploiting the technology of machine learning to pr...
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09/17/2018
Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network
In this paper, we present TeachNet, a novel neural network architecture ...
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09/17/2018
PointNetGPD: Detecting Grasp Configurations from Point Sets
In this paper, we propose an end-to-end grasp evaluation model to addres...
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09/12/2018
Attention based visual analysis for fast grasp planning with multi-fingered robotic hand
We present an attention based visual analysis framework to compute grasp...
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08/16/2018