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08/28/2023
Fair Few-shot Learning with Auxiliary Sets
Recently, there has been a growing interest in developing machine learni...
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08/15/2023
Automated Test Case Generation Using Code Models and Domain Adaptation
State-of-the-art automated test generation techniques, such as search-ba...
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07/09/2023
Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet?
Automatic detection of software bugs is a critical task in software secu...
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07/01/2023
Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge
Many automatic unit test generation tools that can generate unit test ca...
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06/05/2023
Security Knowledge-Guided Fuzzing of Deep Learning Libraries
There have been many Deep Learning (DL) fuzzers proposed in the literatu...
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05/16/2023
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks
Machine learning (ML) has been increasingly used in a variety of domains...
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05/09/2023
Summarization with Precise Length Control
Many applications of text generation such as summarization benefit from ...
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04/22/2023
LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation
Semantic map construction under bird's-eye view (BEV) plays an essential...
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03/28/2023
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network
3D point cloud semantic segmentation aims to group all points into diffe...
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03/14/2023
Parametric Surface Constrained Upsampler Network for Point Cloud
Designing a point cloud upsampler, which aims to generate a clean and de...
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02/14/2023
Developer-Intent Driven Code Comment Generation
Existing automatic code comment generators mainly focus on producing a g...
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02/10/2023
Semi-supervised Large-scale Fiber Detection in Material Images with Synthetic Data
Accurate detection of large-scale, elliptical-shape fibers, including th...
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02/01/2023
Multispectral Pedestrian Detection via Reference Box Constrained Cross Attention and Modality Balanced Optimization
Multispectral pedestrian detection is an important task for many around-...
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12/19/2022
From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration
We tackle a new problem of multi-view camera and subject registration in...
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11/27/2022
Cross-domain Few-shot Segmentation with Transductive Fine-tuning
Few-shot segmentation (FSS) expects models trained on base classes to wo...
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11/25/2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
Graph Neural Networks (GNNs) have emerged as the leading paradigm for so...
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11/21/2022
A Benchmark of Video-Based Clothes-Changing Person Re-Identification
Person re-identification (Re-ID) is a classical computer vision task and...
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11/21/2022
From Indoor To Outdoor: Unsupervised Domain Adaptive Gait Recognition
Gait recognition is an important AI task, which has been progressed rapi...
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10/20/2022
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification
Multi-label image classification aims to predict all possible labels in ...
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09/23/2022
View-Invariant Skeleton-based Action Recognition via Global-Local Contrastive Learning
Skeleton-based human action recognition has been drawing more interest r...
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09/14/2022
Automatic Comment Generation via Multi-Pass Deliberation
Deliberation is a common and natural behavior in human daily life. For e...
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08/29/2022
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study
Imaging exams, such as chest radiography, will yield a small set of comm...
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08/22/2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification
Multi-label image classification aims to predict all possible labels in ...
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07/29/2022
PC-GANs: Progressive Compensation Generative Adversarial Networks for Pan-sharpening
The fusion of multispectral and panchromatic images is always dubbed pan...
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07/12/2022
Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization
Code summarization, the task of generating useful comments given the cod...
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07/04/2022
CRFormer: A Cross-Region Transformer for Shadow Removal
Aiming to restore the original intensity of shadow regions in an image a...
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06/28/2022
Joint Generator-Ranker Learning for Natural Language Generation
Due to exposure bias, most existing natural language generation (NLG) mo...
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06/26/2022
A Novel Length-Flexible Lightweight Cancelable Fingerprint Template for Privacy-Preserving Authentication Systems in Resource-Constrained IoT Applications
Fingerprint authentication techniques have been employed in various Inte...
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06/24/2022
On Structural Explanation of Bias in Graph Neural Networks
Graph Neural Networks (GNNs) have shown satisfying performance in variou...
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04/27/2022
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation
Dialog response generation in open domain is an important research topic...
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04/27/2022
An End-to-End Dialogue Summarization System for Sales Calls
Summarizing sales calls is a routine task performed manually by salespeo...
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04/14/2022
PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Images
Accurate segmentation of power lines in various aerial images is very im...
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03/31/2022
Cancellable Template Design for Privacy-Preserving EEG Biometric Authentication Systems
As a promising candidate to complement traditional biometric modalities,...
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03/12/2022
Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries
The application of machine learning (ML) libraries has been tremendously...
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03/08/2022
Self-supervised Social Relation Representation for Human Group Detection
Human group detection, which splits crowd of people into groups, is an i...
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03/08/2022
Panoramic Human Activity Recognition
To obtain a more comprehensive activity understanding for a crowded scen...
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02/27/2022
Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation
LiDAR sensor is essential to the perception system in autonomous vehicle...
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01/11/2022
Prior Knowledge Enhances Radiology Report Generation
Radiology report generation aims to produce computer-aided diagnoses to ...
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12/09/2021
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation
In this paper, we tackle the problem of one-shot unsupervised domain ada...
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11/22/2021
ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images
Vision-based semantic segmentation of waterbodies and nearby related obj...
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11/21/2021
Explainable Software Defect Prediction: Are We There Yet?
Explaining the prediction results of software defect prediction models i...
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10/30/2021
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification
Short text classification is a fundamental task in natural language proc...
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09/06/2021
Find Bugs in Static Bug Finders
Static bug finders have been widely-adopted by developers to find bugs i...
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08/19/2021
VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection
Lane detection plays a key role in autonomous driving. While car cameras...
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08/15/2021
CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images
Renal compartment segmentation on CT images targets on extracting the 3D...
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06/17/2021
CoCoFuzzing: Testing Neural Code Models with Coverage-Guided Fuzzing
Deep learning-based code processing models have shown good performance f...
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04/22/2021
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
Semantic segmentation of nighttime images plays an equally important rol...
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03/24/2021
From Shadow Generation to Shadow Removal
Shadow removal is a computer-vision task that aims to restore the image ...
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12/14/2020
Multi-Domain Multi-Task Rehearsal for Lifelong Learning
Rehearsal, seeking to remind the model by storing old knowledge in lifel...
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12/02/2020
