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06/27/2023
Delving into Crispness: Guided Label Refinement for Crisp Edge Detection
Learning-based edge detection usually suffers from predicting thick edge...
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04/04/2023
RARE: Robust Masked Graph Autoencoder
Masked graph autoencoder (MGAE) has emerged as a promising self-supervis...
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03/14/2023
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images
We study the problem of reconstructing 3D feature curves of an object fr...
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02/15/2023
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network
With the development of various applications, such as social networks an...
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07/27/2022
Partial Selfish Mining for More Profits
Mining attacks aim to gain an unfair share of extra rewards in the block...
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01/13/2022
STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization
Learning-based edge detection has hereunto been strongly supervised with...
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10/13/2021
SmashEx: Smashing SGX Enclaves Using Exceptions
Exceptions are a commodity hardware functionality which is central to mu...
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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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12/15/2020
Deep Fusion Clustering Network
Deep clustering is a fundamental yet challenging task for data analysis....
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08/31/2020
Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix
Multi-view spectral clustering can effectively reveal the intrinsic clus...
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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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11/07/2019
A Survey on Edge Computing Systems and Tools
Driven by the visions of Internet of Things and 5G communications, the e...
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07/04/2014
