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09/20/2023
Locate and Verify: A Two-Stream Network for Improved Deepfake Detection
Deepfake has taken the world by storm, triggering a trust crisis. Curren...
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09/18/2023
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues
The malicious use and widespread dissemination of deepfake pose a signif...
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09/13/2023
Video Infringement Detection via Feature Disentanglement and Mutual Information Maximization
The self-media era provides us tremendous high quality videos. Unfortuna...
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09/05/2023
Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair
Decentralized Finance (DeFi) is emerging as a peer-to-peer financial eco...
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08/19/2023
Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection
Early detection of dysplasia of the cervix is critical for cervical canc...
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06/14/2023
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
Traffic forecasting plays a critical role in smart city initiatives and ...
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04/18/2023
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
Data augmentation has been established as an efficacious approach to sup...
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03/14/2023
CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation
The cold-start problem is quite challenging for existing recommendation ...
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01/10/2023
Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting
Blockchain smart contracts have given rise to a variety of interesting a...
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11/27/2022
Who is Gambling? Finding Cryptocurrency Gamblers Using Multi-modal Retrieval Methods
With the popularity of cryptocurrencies and the remarkable development o...
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09/13/2022
Smart Contract Vulnerability Detection Technique: A Survey
Smart contract, one of the most successful applications of blockchain, i...
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07/19/2022
Invariant Feature Learning for Generalized Long-Tailed Classification
Existing long-tailed classification (LT) methods only focus on tackling ...
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05/03/2022
Copy Motion From One to Another: Fake Motion Video Generation
One compelling application of artificial intelligence is to generate a v...
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04/15/2022
2D Human Pose Estimation: A Survey
Human pose estimation aims at localizing human anatomical keypoints or b...
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04/07/2022
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings
One intriguing property of adversarial attacks is their "transferability...
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03/29/2022
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
Multi-frame human pose estimation has long been a compelling and fundame...
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02/12/2022
DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity
Despite impressive capabilities and outstanding performance, deep neural...
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01/07/2022
Motion Prediction via Joint Dependency Modeling in Phase Space
Motion prediction is a classic problem in computer vision, which aims at...
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12/30/2021
Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction
Predicting human motion from historical pose sequence is crucial for a m...
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11/26/2021
TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors
Recently, phishing scams have posed a significant threat to blockchains....
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08/29/2021
Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction
Accurate prediction of metro passenger volume (number of passengers) is ...
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08/02/2021
Exploring Lottery Ticket Hypothesis in Media Recommender Systems
Media recommender systems aim to capture users' preferences and provide ...
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07/24/2021
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection
Smart contract vulnerability detection draws extensive attention in rece...
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06/17/2021
Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion
Smart contracts hold digital coins worth billions of dollars, their secu...
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03/17/2021
Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
Human motion prediction from historical pose sequence is at the core of ...
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03/12/2021
Deep Dual Consecutive Network for Human Pose Estimation
Multi-frame human pose estimation in complicated situations is challengi...
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02/14/2021
Learning Intents behind Interactions with Knowledge Graph for Recommendation
Knowledge graph (KG) plays an increasingly important role in recommender...
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08/06/2020
Zero-Shot Multi-View Indoor Localization via Graph Location Networks
Indoor localization is a fundamental problem in location-based applicati...
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01/10/2019
A Truthful FPTAS Mechanism for Emergency Demand Response in Colocation Data Centers
Demand response (DR) is not only a crucial solution to the demand side m...
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09/19/2018
NAIS: Neural Attentive Item Similarity Model for Recommendation
Item-to-item collaborative filtering (aka. item-based CF) has been long ...
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08/05/2018
Rapido: A Layer2 Payment System for Decentralized Currencies
Bitcoin blockchain faces the bitcoin scalability problem, for which bitc...
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02/20/2017