research
∙
08/18/2023
Fixed-Point Algorithms for Solving the Critical Value and Upper Tail Quantile of Kuiper's Statistics
Kuiper's statistic is a good measure for the difference of ideal distrib...
share
research
∙
08/14/2023
Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning
Due to the flexible representation of arbitrary-shaped scene text and si...
research
∙
08/03/2023
How many preprints have actually been printed and why: a case study of computer science preprints on arXiv
Preprints play an increasingly critical role in academic communities. Th...
research
∙
07/06/2023
CFSum: A Coarse-to-Fine Contribution Network for Multimodal Summarization
Multimodal summarization usually suffers from the problem that the contr...
research
∙
06/09/2023
EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation
Artificial intelligence (AI) has been widely used in bioimage image anal...
research
∙
05/27/2023
Non-Sequential Graph Script Induction via Multimedia Grounding
Online resources such as WikiHow compile a wide range of scripts for per...
research
∙
05/20/2023
Joint Generative-Contrastive Representation Learning for Anomalous Sound Detection
In this paper, we propose a joint generative and contrastive representat...
research
∙
05/12/2023
Visual Information Extraction in the Wild: Practical Dataset and End-to-end Solution
Visual information extraction (VIE), which aims to simultaneously perfor...
research
∙
05/09/2023
Multi-Teacher Knowledge Distillation For Text Image Machine Translation
Text image machine translation (TIMT) has been widely used in various re...
research
∙
05/09/2023
E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation
Text image machine translation (TIMT) aims to translate texts embedded i...
research
∙
03/14/2023
Quaternion Orthogonal Transformer for Facial Expression Recognition in the Wild
Facial expression recognition (FER) is a challenging topic in artificial...
research
∙
03/09/2023
A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation
Due to the development of pre-trained language models, automated code ge...
research
∙
02/28/2023
Overview and Performance Analysis of Various Waveforms in High Mobility Scenarios
In the high-mobility scenarios of next-generation wireless communication...
research
∙
02/01/2023
On Hill's Worst-Case Guarantee for Indivisible Bads
When allocating objects among agents with equal rights, people often eva...
research
∙
01/05/2023
An Automatic Method for Generating Symbolic Expressions of Zernike Circular Polynomials
Zernike circular polynomials (ZCP) play a significant role in optics eng...
research
∙
01/02/2023
Test Reuse Based on Adaptive Semantic Matching across Android Mobile Applications
Automatic test generation can help verify and develop the behavior of mo...
research
∙
12/19/2022
CDIO-CT collaborative strategy for project-driven STEM education: an illustration of solving the period of mathematical pendulum
The project-driven STEM education plays a significant role in training s...
research
∙
12/12/2022
Correct and Alternative Numerical Algorithms for the Complete Elliptic Integral of the First Kind in MATLAB and Mathematica
The complete elliptic integral of the first kind (CEI-1) plays in a sign...
research
∙
12/12/2022
DRIVE: Dockerfile Rule Mining and Violation Detection
A Dockerfile defines a set of instructions to build Docker images, which...
research
∙
12/06/2022
Life-long Learning for Multilingual Neural Machine Translation with Knowledge Distillation
A common scenario of Multilingual Neural Machine Translation (MNMT) is t...
research
∙
12/02/2022
Balanced Binary Tree Schemes for Computing Zernike Radial Polynomials
Zernike radial polynomials play a significant role in application areas ...
research
∙
11/29/2022
How Important are Good Method Names in Neural Code Generation? A Model Robustness Perspective
Pre-trained code generation models (PCGMs) have been widely applied in n...
research
∙
11/14/2022
Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction
The area of transfer learning comprises supervised machine learning meth...
research
∙
11/02/2022
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning
Contrastive self-supervised learning (CSL) based on instance discriminat...
research
∙
10/09/2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Medical anomaly detection is a crucial yet challenging task aiming at re...
research
∙
10/08/2022
Improving End-to-End Text Image Translation From the Auxiliary Text Translation Task
End-to-end text image translation (TIT), which aims at translating the s...
research
∙
09/28/2022
Automatic Analysis of Available Source Code of Top Artificial Intelligence Conference Papers
Source code is essential for researchers to reproduce the methods and re...
research
∙
09/16/2022
Weakly Supervised Semantic Segmentation via Progressive Patch Learning
Most of the existing semantic segmentation approaches with image-level c...
research
∙
09/13/2022
Improving Information Freshness via Backbone-Assisted Cooperative Access Points
Information freshness, characterized by age of information (AoI), is imp...
research
∙
07/11/2022
Towards Personalized Healthcare in Cardiac Population: The Development of a Wearable ECG Monitoring System, an ECG Lossy Compression Schema, and a ResNet-Based AF Detector
Cardiovascular diseases (CVDs) are the number one cause of death worldwi...
research
∙
06/08/2022
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
Chest X-ray (CXR) is the most typical radiological exam for diagnosis of...
research
∙
05/26/2022
Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions
Role-oriented dialogue summarization is to generate summaries for differ...
research
∙
05/21/2022
Fair Allocation of Indivisible Chores: Beyond Additive Valuations
In this work, we study the maximin share (MMS) fair allocation of indivi...
research
∙
05/10/2022
UNITS: Unsupervised Intermediate Training Stage for Scene Text Detection
Recent scene text detection methods are almost based on deep learning an...
research
∙
04/16/2022
GitNet: Geometric Prior-based Transformation for Birds-Eye-View Segmentation
Birds-eye-view (BEV) semantic segmentation is critical for autonomous dr...
research
∙
04/14/2022
MARF: Multiscale Adaptive-switch Random Forest for Leg Detection with 2D Laser Scanners
For the 2D laser-based tasks, e.g., people detection and people tracking...
research
∙
04/08/2022
Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes
In many important applications of precision medicine, the outcome of int...
research
∙
04/08/2022
Scaling Bockchain with Adaptivity
This paper presents Balloon, a scalable blockchain consensus protocol wh...
research
∙
03/24/2022
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering
Texts in scene images convey critical information for scene understandin...
research
∙
03/21/2022
Dispersion Analysis of CIP-FEM for Helmholtz Equation
When solving the Helmholtz equation numerically, the accuracy of numeric...
research
∙
03/04/2022
Look&Listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement
Active speaker detection and speech enhancement have become two increasi...
research
∙
12/18/2021
Anomaly Discovery in Semantic Segmentation via Distillation Comparison Networks
This paper aims to address the problem of anomaly discovery in semantic ...
research
∙
12/15/2021
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
Real-world data often follows a long-tailed distribution, which makes th...
research
∙
12/08/2021
Learning to Select the Next Reasonable Mention for Entity Linking
Entity linking aims to establish a link between entity mentions in a doc...
research
∙
11/17/2021
Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression
Edges are the fundamental visual element for discovering tiny obstacles ...
research
∙
11/09/2021
Video Text Tracking With a Spatio-Temporal Complementary Model
Text tracking is to track multiple texts in a video,and construct a traj...
research
∙
09/16/2021
Dense Semantic Contrast for Self-Supervised Visual Representation Learning
Self-supervised representation learning for visual pre-training has achi...
research
∙
09/08/2021
Which and Where to Focus: A Simple yet Accurate Framework for Arbitrary-Shaped Nearby Text Detection in Scene Images
Scene text detection has drawn the close attention of researchers. Thoug...
research
∙
09/08/2021
Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection
Due to the large success in object detection and instance segmentation, ...
research
∙
08/30/2021
