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09/18/2023
Towards Socially Responsive Autonomous Vehicles: A Reinforcement Learning Framework with Driving Priors and Coordination Awareness
The advent of autonomous vehicles (AVs) alongside human-driven vehicles ...
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09/02/2023
Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries
Accurate segmentation of surgical instrument tip is an important task fo...
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07/30/2023
MTD-GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections
Autonomous driving technology is poised to transform transportation syst...
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07/29/2023
Teaching Autonomous Vehicles to Express Interaction Intent during Unprotected Left Turns: A Human-Driving-Prior-Based Trajectory Planning Approach
With the integration of Autonomous Vehicles (AVs) into our transportatio...
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07/26/2023
EasyNet: An Easy Network for 3D Industrial Anomaly Detection
3D anomaly detection is an emerging and vital computer vision task in in...
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04/06/2023
What makes a good data augmentation for few-shot unsupervised image anomaly detection?
Data augmentation is a promising technique for unsupervised anomaly dete...
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01/31/2023
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
Image anomaly detection (IAD) is an emerging and vital computer vision t...
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01/28/2023
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
In the area of fewshot anomaly detection (FSAD), efficient visual featur...
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01/27/2023
Deep Industrial Image Anomaly Detection: A Survey
The recent rapid development of deep learning has laid a milestone in in...
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08/17/2022
Boosting Distributed Training Performance of the Unpadded BERT Model
Pre-training models are an important tool in Natural Language Processing...
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04/12/2022
Label Distribution Learning for Generalizable Multi-source Person Re-identification
Person re-identification (Re-ID) is a critical technique in the video su...
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11/01/2021
Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion
In this paper, we address the problem of forecasting the trajectory of a...
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10/11/2021
AskMe: Joint Individual-level and Community-level Behavior Interaction for Question Recommendation
Questions in Community Question Answering (CQA) sites are recommended to...
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08/18/2021
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction
The prediction of express delivery sequence, i.e., modeling and estimati...
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08/16/2021
TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples
Surface defect detection plays an increasingly important role in manufac...
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08/16/2021
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
Automated Guided Vehicles (AGVs) have been widely used for material hand...
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05/12/2021
An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization
XGBoost is one of the most widely used machine learning models in the in...
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06/29/2020
Combine Convolution with Recurrent Networks for Text Classification
Convolutional neural network (CNN) and recurrent neural network (RNN) ar...
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04/05/2020
Modeling, Analysis, and Optimization of Grant-Free NOMA in Massive MTC via Stochastic Geometry
Massive machine-type communications (mMTC) is a crucial scenario to supp...
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08/21/2018
Resource Allocation for Cooperative D2D-Enabled Wireless Caching Networks
In this paper, we study the resource allocation problem for a cooperativ...
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07/27/2018
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using Wearables
We present a convolutional-recurrent neural network architecture with lo...
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12/02/2017
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks
Spleen volume estimation using automated image segmentation technique ma...
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11/22/2016
Deep Recurrent Convolutional Neural Network: Improving Performance For Speech Recognition
A deep learning approach has been widely applied in sequence modeling pr...
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11/16/2016