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09/21/2023
Multi-Task Cooperative Learning via Searching for Flat Minima
Multi-task learning (MTL) has shown great potential in medical image ana...
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08/31/2023
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
Accurate traffic forecasting at intersections governed by intelligent tr...
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08/16/2023
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation
Methods: In this study, a benchmark Abdominal Adipose Tissue CT Image Da...
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08/09/2023
Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution
Transformer-based methods have exhibited remarkable potential in single ...
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08/09/2023
Sudowoodo: a Chinese Lyric Imitation System with Source Lyrics
Lyrics generation is a well-known application in natural language genera...
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07/03/2023
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics
In today's competitive and fast-evolving business environment, it is a c...
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06/16/2023
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering
Visual question answering (VQA) is a challenging task that requires the ...
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06/15/2023
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding
Current Vision and Language Models (VLMs) demonstrate strong performance...
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06/07/2023
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
In this paper, we present a simple but performant semi-supervised semant...
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06/02/2023
Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment Generation
The field of protein folding research has been greatly advanced by deep ...
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05/13/2023
GSB: Group Superposition Binarization for Vision Transformer with Limited Training Samples
Affected by the massive amount of parameters, ViT usually suffers from s...
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02/25/2023
Efficient Multitask Learning on Resource-Constrained Systems
We present Antler, which exploits the affinity between all pairs of task...
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12/19/2022
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
Time series anomaly detection strives to uncover potential abnormal beha...
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12/14/2022
Deep Negative Correlation Classification
Ensemble learning serves as a straightforward way to improve the perform...
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08/18/2022
Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes
Current efficient LiDAR-based detection frameworks are lacking in exploi...
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08/10/2022
Aesthetic Visual Question Answering of Photographs
Aesthetic assessment of images can be categorized into two main forms: n...
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08/09/2022
Attribute Controllable Beautiful Caucasian Face Generation by Aesthetics Driven Reinforcement Learning
In recent years, image generation has made great strides in improving th...
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07/21/2022
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation
The essence of video semantic segmentation (VSS) is how to leverage temp...
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05/12/2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding
Data augmentation is an effective approach to tackle over-fitting. Many ...
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05/03/2022
SUBS: Subtree Substitution for Compositional Semantic Parsing
Although sequence-to-sequence models often achieve good performance in s...
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04/27/2022
Probing Simile Knowledge from Pre-trained Language Models
Simile interpretation (SI) and simile generation (SG) are challenging ta...
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10/06/2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
Recently, Transformer has become a prevailing deep architecture for solv...
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08/17/2021
Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net
Existing salient object detection (SOD) methods mainly rely on CNN-based...
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08/04/2021
Free Lunch for Co-Saliency Detection: Context Adjustment
We unveil a long-standing problem in the prevailing co-saliency detectio...
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06/06/2021
Transformer in Convolutional Neural Networks
We tackle the low-efficiency flaw of vision transformer caused by the hi...
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05/25/2021
Unsupervised Scale-consistent Depth Learning from Video
We propose a monocular depth estimator SC-Depth, which requires only unl...
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12/24/2020
EDN: Salient Object Detection via Extremely-Downsampled Network
Recent progress on salient object detection (SOD) mainly benefits from m...
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09/01/2020
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow
Generalized zero-shot learning (GZSL) aims to recognize both seen and un...
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08/28/2020
Regularized Densely-connected Pyramid Network for Salient Instance Segmentation
Much of the recent efforts on salient object detection (SOD) has been de...
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07/31/2020
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
Recent years have seen increasing use of supervised learning methods for...
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12/24/2019
Ordered or Orderless: A Revisit for Video based Person Re-Identification
Is recurrent network really necessary for learning a good visual represe...
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11/27/2019
AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning
Triplet loss has been widely employed in a wide range of computer vision...
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10/18/2019
A novel centroid update approach for clustering-based superpixel method and superpixel-based edge detection
Superpixel is widely used in image processing. And among the methods for...
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10/17/2019
NAMF: A Non-local Adaptive Mean Filter for Salt-and-Pepper Noise Removal
In this paper, a non-local adaptive mean filter (NAMF) is proposed, whic...
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08/26/2019
An Evaluation of Feature Matchers forFundamental Matrix Estimation
Matching two images while estimating their relative geometry is a key st...
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08/24/2019
Robust Regression via Deep Negative Correlation Learning
Nonlinear regression has been extensively employed in many computer visi...
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03/12/2019
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation
Segmentation stands at the forefront of many high-level vision tasks. In...
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01/10/2019
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort
The exploitation of large-scale population data has the potential to imp...
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12/28/2018
Salient Object Detection via High-to-Low Hierarchical Context Aggregation
Recent progress on salient object detection mainly aims at exploiting ho...
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11/21/2018
PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship
Personality and emotion are both central to affective computing. Existin...
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11/06/2018
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN
Cardiac magnetic resonance (CMR) images play a growing role in the diagn...
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08/07/2018
MatchBench: An Evaluation of Feature Matchers
Feature matching is one of the most fundamental and active research area...
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06/13/2018
SybilBlind: Detecting Fake Users in Online Social Networks without Manual Labels
Detecting fake users (also called Sybils) in online social networks is a...
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05/19/2018
Learning Pixel-wise Labeling from the Internet without Human Interaction
Deep learning stands at the forefront in many computer vision tasks. How...
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05/02/2018
A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues
In this paper, we comprehensively describe the methodology of our submis...
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04/09/2018
Semantic Edge Detection with Diverse Deep Supervision
Semantic edge detection (SED), which aims at jointly extracting edges as...
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03/12/2018
Structure-based Sybil Detection in Social Networks via Local Rule-based Propagation
Sybil detection in social networks is a basic security research problem....
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09/12/2017
Image Matching: An Application-oriented Benchmark
Image matching approaches have been widely used in computer vision appli...
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09/12/2017
