108 citations · 151 across the 21 of their papers we have counts for
4 papers · 1 filter
Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory
Ting Lei, Fabian Caba, Qingchao Chen +3
Human Object Interaction (HOI) detection aims to localize and infer the relationships between a human and an object. Arguably, training supervised models for this task from scratch…
MB-HGCN: A Hierarchical Graph Convolutional Network for Multi-behavior Recommendation
Mingshi Yan, Zhiyong Cheng, Jing Sun +2
Collaborative filtering-based recommender systems that rely on a single type of behavior often encounter serious sparsity issues in real-world applications, leading to unsatisfacto…
Multi-Behavior Recommendation with Cascading Graph Convolution Networks
Zhiyong Cheng, Sai Han, Fan Liu +3
Multi-behavior recommendation, which exploits auxiliary behaviors (e.g., click and cart) to help predict users' potential interactions on the target behavior (e.g., buy), is regard…
Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos
Yulin Pan, Xiangteng He, Biao Gong +4
Video temporal grounding aims to pinpoint a video segment that matches the query description. Despite the recent advance in short-form videos (\textit{e.g.}, in minutes), temporal…