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09/15/2023
Practical Program Repair via Preference-based Ensemble Strategy
To date, over 40 Automated Program Repair (APR) tools have been designed...
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09/09/2023
FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations
While the majority of existing pre-trained models from code learn source...
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08/18/2023
Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases
Large Language Models (LLMs) have demonstrated remarkable performance in...
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07/26/2023
Tracking Anything in High Quality
Visual object tracking is a fundamental video task in computer vision. R...
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07/01/2023
Sparse-Input Neural Network using Group Concave Regularization
Simultaneous feature selection and non-linear function estimation are ch...
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06/28/2023
Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving
While federated learning (FL) improves the generalization of end-to-end ...
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05/27/2023
Backdooring Neural Code Search
Reusing off-the-shelf code snippets from online repositories is a common...
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05/08/2023
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization
Deep Neural Networks (DNNs) have recently made significant progress in m...
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04/26/2023
Robust image steganography against lossy JPEG compression based on embedding domain selection and adaptive error correction
Transmitting images for communication on social networks has become rout...
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03/22/2023
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
Weakly Supervised Video Anomaly Detection (WSVAD) is challenging because...
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02/08/2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models
Despite the recent advances showing that a model pre-trained on large-sc...
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02/08/2023
An Empirical Comparison of Pre-Trained Models of Source Code
While a large number of pre-trained models of source code have been succ...
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01/08/2023
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning
Self-supervised learning enables networks to learn discriminative featur...
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12/16/2022
Adversarial Example Defense via Perturbation Grading Strategy
Deep Neural Networks have been widely used in many fields. However, stud...
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11/19/2022
Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach
Exploring sample relationships within each mini-batch has shown great po...
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11/17/2022
Data Dimension Reduction makes ML Algorithms efficient
Data dimension reduction (DDR) is all about mapping data from high dimen...
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11/16/2022
Efficient and Fine-grained Redactable Blockchain Supporting Accountability and Updating Policies
Redactable Blockchain aims to ensure immutability of the data for most o...
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10/12/2022
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
Recent years have witnessed the rise and success of pre-training techniq...
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09/18/2022
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding
Recent efforts of multimodal Transformers have improved Visually Rich Do...
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09/14/2022
SQL and NoSQL Databases Software architectures performance analysis and assessments – A Systematic Literature review
Context: The efficient processing of Big Data is a challenging task for ...
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08/26/2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
Few-shot classification which aims to recognize unseen classes using ver...
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06/15/2022
An Extractive-and-Abstractive Framework for Source Code Summarization
(Source) Code summarization aims to automatically generate summaries/com...
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05/24/2022
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code
Recent years have seen the successful application of deep learning to so...
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05/19/2022
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search
Existing trackers usually select a location or proposal with the maximum...
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04/26/2022
Unified GCNs: Towards Connecting GCNs with CNNs
Graph Convolutional Networks (GCNs) have been widely demonstrated their ...
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02/22/2022
Neural Program Repair: Systems, Challenges and Solutions
Automated Program Repair (APR) aims to automatically fix bugs in the sou...
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02/22/2022
Universal adversarial perturbation for remote sensing images
Recently, with the application of deep learning in the remote sensing im...
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02/11/2022
Tiny Object Tracking: A Large-scale Dataset and A Baseline
Tiny objects, frequently appearing in practical applications, have weak ...
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01/05/2022
SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations
Recent years have seen the successful application of large pre-trained m...
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12/13/2021
Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer
Given the fact of a case, Legal Judgment Prediction (LJP) involves a ser...
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12/02/2021
AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization
Code summarization aims to generate brief natural language descriptions ...
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12/02/2021
MTFNet: Mutual-Transformer Fusion Network for RGB-D Salient Object Detection
Salient object detection (SOD) on RGB-D images is an active problem in c...
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09/24/2021
On the Robustness of "Robust reversible data hiding scheme based on two-layer embedding strategy"
In the paper "Robust reversible data hiding scheme based on two-layer em...
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09/04/2021
RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions
Segmenting each moving object instance in a scene is essential for many ...
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04/27/2021
LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking
RGBT tracking receives a surge of interest in the computer vision commun...
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01/19/2021
PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack
The studies on black-box adversarial attacks have become increasingly pr...
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12/18/2020
Object Detection based on OcSaFPN in Aerial Images with Noise
Taking the deep learning-based algorithms into account has become a cruc...
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11/14/2020
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss
RGBT tracking has attracted increasing attention since RGB and thermal i...
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07/26/2020
U2-ONet: A Two-level Nested Octave U-structure with Multiscale Attention Mechanism for Moving Instances Segmentation
Most scenes in practical applications are dynamic scenes containing movi...
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07/08/2020
Reversible data hiding in encrypted images based on pixel prediction and multi-MSB planes rearrangement
Great concern has arisen in the field of reversible data hiding in encry...
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06/09/2020
Can Synthetic Data Improve Object Detection Results for Remote Sensing Images?
Deep learning approaches require enough training samples to perform well...
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03/17/2020
M^5L: Multi-Modal Multi-Margin Metric Learning for RGBT Tracking
Classifying the confusing samples in the course of RGBT tracking is a qu...
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03/10/2020
DymSLAM:4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation
Most SLAM algorithms are based on the assumption that the scene is stati...
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11/26/2019
A High-dimensional M-estimator Framework for Bi-level Variable Selection
In high-dimensional data analysis, bi-level sparsity is often assumed wh...
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11/18/2019
GLMNet: Graph Learning-Matching Networks for Feature Matching
Recently, graph convolutional networks (GCNs) have shown great potential...
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10/21/2019
High-dimensional robust approximated M-estimators for mean regression with asymmetric data
Asymmetry along with heteroscedasticity or contamination often occurs wi...
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10/15/2019
Stereo-based Multi-motion Visual Odometry for Mobile Robots
With the development of computer vision, visual odometry is adopted by m...
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08/24/2019
Residual Objectness for Imbalance Reduction
For a long time, object detectors have suffered from extreme imbalance b...
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08/14/2019
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network
Graph Convolutional Networks (GCNs) have been widely studied for compact...
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08/07/2019