2 citations · 2 across the 6 of their papers we have counts for
6 papers
Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension
Fangzhou Xu, Sai Zhang, Zhenchang Xing +3
Code quality evaluation involves scoring generated code quality based on a reference code for a specific problem statement. Currently, there are two main forms of evaluating code q…
Generalizing to Out-of-Sample Degradations via Model Reprogramming
Runhua Jiang, Yahong Han
Existing image restoration models are typically designed for specific tasks and struggle to generalize to out-of-sample degradations not encountered during training. While zero-sho…
Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization
Deng Li, Aming Wu, Yaowei Wang +1
Single-domain generalization aims to learn a model from single source domain data to achieve generalized performance on other unseen target domains. Existing works primarily focus…
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
Yikang Wei, Yahong Han
Federated Domain Generalization aims to learn a domain-invariant model from multiple decentralized source domains for deployment on unseen target domain. Due to privacy concerns, t…
Joint Correcting and Refinement for Balanced Low-Light Image Enhancement
Nana Yu, Hong Shi, Yahong Han
Low-light image enhancement tasks demand an appropriate balance among brightness, color, and illumination. While existing methods often focus on one aspect of the image without con…
Weakly-Supervised Video Anomaly Detection with Snippet Anomalous Attention
Yidan Fan, Yongxin Yu, Wenhuan Lu +1
With a focus on abnormal events contained within untrimmed videos, there is increasing interest among researchers in video anomaly detection. Among different video anomaly detectio…