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09/07/2023
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data
Models based on U-like structures have improved the performance of medic...
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08/05/2021
Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests
Video abnormal event detection (VAD) is a vital semi-supervised task tha...
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08/04/2021
Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos
Video anomaly detection (VAD) has constantly been a vital topic in video...
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04/27/2021
Multi-view Deep One-class Classification: A Systematic Exploration
One-class classification (OCC), which models one single positive class a...
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08/27/2020
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events
As a vital topic in media content interpretation, video anomaly detectio...
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07/21/2020
Unsupervised Heterogeneous Coupling Learning for Categorical Representation
Complex categorical data is often hierarchically coupled with heterogene...
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11/28/2019
Understand Dynamic Regret with Switching Cost for Online Decision Making
As a metric to measure the performance of an online method, dynamic regr...
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08/04/2019
Simultaneous Clustering and Optimization for Evolving Datasets
Simultaneous clustering and optimization (SCO) has recently drawn much a...
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12/26/2018
Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit
We provide a new theoretical analysis framework to investigate online gr...
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08/20/2018