1 citations · 1 across the 10 of their papers we have counts for
10 papers
DeFiFusion: Combining Transaction Events with Smart Contracts to Detect Price Manipulation Attacks
Rui Cao, Shaojing Fan, Liming Fang +3
Decentralized Finance (DeFi) has emerged as a rapidly growing blockchain-based financial service, where market transaction dynamics and underlying smart contract logic are intricat…
DeFiScreener: Efficient DeFi Attack Pre-screening in Smart Contracts via Historical Case Matching
Rui Cao, Shaojing Fan, Zhimei Sui +4
Blockchain and its killer applications, particularly decentralized finance (DeFi), are gaining widespread adoption, with over 5,200 DeFi projects deployed on mainstream blockchains…
Unveiling Deepfakes: A Frequency-Aware Triple Branch Network for Deepfake Detection
Qihao Shen, Jiaxing Xuan, Zhenguang Liu +5
Advanced deepfake technologies are blurring the lines between real and fake, presenting both revolutionary opportunities and alarming threats. While it unlocks novel applications i…
I Know Who Clones Your Code: Interpretable Smart Contract Similarity Detection
Zhenguang Liu, Lixun Ma, Zhongzheng Mu +4
Widespread reuse of open-source code in smart contract development boosts programming efficiency but significantly amplifies bug propagation across contracts, while dedicated metho…
Multi-Grained Feature Pruning for Video-Based Human Pose Estimation
Zhigang Wang, Shaojing Fan, Zhenguang Liu +3
Human pose estimation, with its broad applications in action recognition and motion capture, has experienced significant advancements. However, current Transformer-based methods fo…
HVIS: A Human-like Vision and Inference System for Human Motion Prediction
Kedi Lyu, Haipeng Chen, Zhenguang Liu +3
Grasping the intricacies of human motion, which involve perceiving spatio-temporal dependence and multi-scale effects, is essential for predicting human motion. While humans inhere…
SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos
Yingying Jiao, Zhigang Wang, Sifan Wu +4
Human pose estimation in videos remains a challenge, largely due to the reliance on extensive manual annotation of large datasets, which is expensive and labor-intensive. Furthermo…
Optimizing Human Pose Estimation Through Focused Human and Joint Regions
Yingying Jiao, Zhigang Wang, Zhenguang Liu +4
Human pose estimation has given rise to a broad spectrum of novel and compelling applications, including action recognition, sports analysis, as well as surveillance. However, accu…
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation
Haipeng Chen, Sifan Wu, Zhigang Wang +4
Video-based human pose estimation has long been a fundamental yet challenging problem in computer vision. Previous studies focus on spatio-temporal modeling through the enhancement…
Joint-Motion Mutual Learning for Pose Estimation in Videos
Sifan Wu, Haipeng Chen, Yifang Yin +5
Human pose estimation in videos has long been a compelling yet challenging task within the realm of computer vision. Nevertheless, this task remains difficult because of the comple…