2 citations · 2 across the 6 of their papers we have counts for
6 papers
Radial Neighborhood Smoothing Recommender System
Zerui Zhang, Yumou Qiu
Recommender systems inherently exhibit a low-rank structure in latent space. A key challenge is to define meaningful and measurable distances in the latent space to capture user-us…
LiDDA: Data Driven Attribution at LinkedIn
John Bencina, Erkut Aykutlug, Yue Chen +4
Data Driven Attribution, which assigns conversion credits to marketing interactions based on causal patterns learned from data, is the foundation of modern marketing intelligence a…
Refined Geometry-guided Head Avatar Reconstruction from Monocular RGB Video
Pilseo Park, Ze Zhang, Michel Sarkis +3
High-fidelity reconstruction of head avatars from monocular videos is highly desirable for virtual human applications, but it remains a challenge in the fields of computer graphics…
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
Zhichao Sun, Yuliang Gu, Yepeng Liu +3
Anomaly detection in chest X-rays is a critical task. Most methods mainly model the distribution of normal images, and then regard significant deviation from normal distribution as…
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
Zerui Zhang, Zhichao Sun, Zelong Liu +4
Medical anomaly detection is a critical research area aimed at recognizing abnormal images to aid in diagnosis.Most existing methods adopt synthetic anomalies and image restoration…
RHOBIN Challenge: Reconstruction of Human Object Interaction
Xianghui Xie, Xi Wang, Nikos Athanasiou +17
Modeling the interaction between humans and objects has been an emerging research direction in recent years. Capturing human-object interaction is however a very challenging task d…