8 citations · 20 across the 5 of their papers we have counts for
5 papers
End-to-End Personalized Next Location Recommendation via Contrastive User Preference Modeling
Yan Luo, Ye Liu, Fu-lai Chung +2
Predicting the next location is a highly valuable and common need in many location-based services such as destination prediction and route planning. The goal of next location recom…
Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection
Yong Zhang, Yingwei Pan, Ting Yao +3
Recent high-performing Human-Object Interaction (HOI) detection techniques have been highly influenced by Transformer-based object detector (i.e., DETR). Nevertheless, most of them…
UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection
Ye Liu, Siyuan Li, Yang Wu +3
Finding relevant moments and highlights in videos according to natural language queries is a natural and highly valuable common need in the current video content explosion era. Nev…
From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation
Yu Liu, Li Deng, Jianshu Chen +1
Many important classification problems, such as object classification, speech recognition, and machine translation, have been tackled by the supervised learning paradigm in the pas…
Storytelling of Photo Stream with Bidirectional Multi-thread Recurrent Neural Network
Yu Liu, Jianlong Fu, Tao Mei +1
Visual storytelling aims to generate human-level narrative language (i.e., a natural paragraph with multiple sentences) from a photo streams. A typical photo story consists of a gl…