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08/25/2023
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning
Glaucoma is the number one cause of irreversible blindness globally. A m...
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08/06/2023
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection
Humans recognize anomalies through two aspects: larger patch-wise repres...
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06/15/2023
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
Fairness in machine learning is important for societal well-being, but l...
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04/09/2023
Timestamps as Prompts for Geography-Aware Location Recommendation
Location recommendation plays a vital role in improving users' travel ex...
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03/22/2023
End-to-End Personalized Next Location Recommendation via Contrastive User Preference Modeling
Predicting the next location is a highly valuable and common need in man...
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11/13/2022
Long-Range Zero-Shot Generative Deep Network Quantization
Quantization approximates a deep network model with floating-point numbe...
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10/28/2022
GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition
In human-computer interaction, Speech Emotion Recognition (SER) plays an...
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09/02/2022
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images
Ophthalmic images and derivatives such as the retinal nerve fiber layer ...
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07/18/2022
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for the Single-Corpus and Cross-Corpus Speech Emotion Recognition
Speech Emotion Recognition (SER) has become a growing focus of research ...
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01/23/2022
Learning to Predict Gradients for Semi-Supervised Continual Learning
A key challenge for machine intelligence is to learn new visual concepts...
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01/23/2022
Learning to Minimize the Remainder in Supervised Learning
The learning process of deep learning methods usually updates the model'...
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01/19/2022
An efficient Chorin-Temam projection proper orthogonal decomposition based reduced-order model for nonstationary Stokes equations
In this paper, we propose an efficient proper orthogonal decomposition b...
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01/19/2022
Swin-Pose: Swin Transformer Based Human Pose Estimation
Convolutional neural networks (CNNs) have been widely utilized in many c...
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11/16/2021
BBS: A Blockchain Big-Data Sharing System
Chain of custody is needed to document the sequence of custody of sensit...
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09/30/2021
Learning to Predict Trustworthiness with Steep Slope Loss
Understanding the trustworthiness of a prediction yielded by a classifie...
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09/15/2021
BOSS: A Blockchain Off-State Sharing System
Blockchain has been applied to data sharing to ensure the integrity of d...
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05/25/2021
An efficient iterative method for solving parameter-dependent and random diffusion problems
This paper develops and analyzes a general iterative framework for solvi...
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03/31/2021
Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding
Temporal grounding aims to localize temporal boundaries within untrimmed...
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03/18/2021
Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection
Accurate pedestrian classification and localization have received consid...
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12/20/2020
Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection
Pedestrian detection benefits greatly from deep convolutional neural net...
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10/07/2020
A Fast and Effective Method of Macula Automatic Detection for Retina Images
Retina image processing is one of the crucial and popular topics of medi...
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07/09/2020
n-Reference Transfer Learning for Saliency Prediction
Benefiting from deep learning research and large-scale datasets, salienc...
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01/29/2020
3D Aggregated Faster R-CNN for General Lesion Detection
Lesions are damages and abnormalities in tissues of the human body. Many...
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12/17/2019
Direction Concentration Learning: Enhancing Congruency in Machine Learning
One of the well-known challenges in computer vision tasks is the visual ...
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04/08/2019
G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features
Intra-class compactness and inter-class separability are crucial indicat...
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11/22/2018
NeuroTreeNet: A New Method to Explore Horizontal Expansion Network
It is widely recognized that the deeper networks or networks with more f...
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06/17/2016