research
∙
08/01/2023
The Hitchhiker's Guide to Program Analysis: A Journey with Large Language Models
Static analysis is a widely used technique in software engineering for i...
share
research
∙
09/17/2022
Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance
Deep learning has made great strides for object detection in images. The...
research
∙
09/01/2022
1st Place Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: End-to-End Recognition of Out of Vocabulary Words
Scene text recognition has attracted increasing interest in recent years...
research
∙
08/17/2022
Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision
People with blindness and low vision (pBLV) experience significant chall...
research
∙
08/04/2022
1st Place Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: Cropped Word Recognition
This report presents our winner solution to ECCV 2022 challenge on Out-o...
research
∙
03/08/2022
Language Matters: A Weakly Supervised Pre-training Approach for Scene Text Detection and Spotting
Recently, Vision-Language Pre-training (VLP) techniques have greatly ben...
research
∙
12/25/2021
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See” More, Farther and Faster
Advanced wearable devices are increasingly incorporating high-resolution...
research
∙
10/08/2021
Meta-Learning 3D Shape Segmentation Functions
Learning robust 3D shape segmentation functions with deep neural network...
research
∙
10/08/2021
3D Meta-Segmentation Neural Network
Though deep learning methods have shown great success in 3D point cloud ...
research
∙
10/07/2021
RAR: Region-Aware Point Cloud Registration
This paper concerns the research problem of point cloud registration to ...
research
∙
07/16/2020
Inductive Link Prediction for Nodes Having Only Attribute Information
Predicting the link between two nodes is a fundamental problem for graph...
research
∙
04/24/2020
Explainable Unsupervised Change-point Detection via Graph Neural Networks
Change-point detection (CPD) aims at detecting the abrupt property chang...
research
∙
11/15/2018
Exploiting Sentence Embedding for Medical Question Answering
Despite the great success of word embedding, sentence embedding remains ...
research
∙
09/18/2015
TransA: An Adaptive Approach for Knowledge Graph Embedding
Knowledge representation is a major topic in AI, and many studies attemp...
research
∙
09/18/2015