5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2025★ 5 cited
ST-SAM: SAM-Driven Self-Training Framework for Semi-Supervised Camouflaged Object Detection
Xihang Hu, Fuming Sun, Jiazhe Liu +2
Semi-supervised Camouflaged Object Detection (SSCOD) aims to reduce reliance on costly pixel-level annotations by leveraging limited annotated data and abundant unlabeled data. How…
cs.IR2025
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation
Guojia An, Jie Zou, Jiwei Wei +3
Conversational recommender systems aim to provide personalized recommendations by analyzing and utilizing contextual information related to dialogue. However, existing methods typi…
cs.IR2024★ 3 cited
Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
Mingshi Yan, Fan Liu, Jing Sun +3
In recommender systems, multi-behavior methods have demonstrated their effectiveness in mitigating issues like data sparsity, a common challenge in traditional single-behavior reco…