output
20092026
most citedNeural Graph Collaborative Filtering

3.2k citations

Showing 2016 · cs.CVShow all

5 papers · 2 filters

cs.CV2016★ 24 cited

Constrained Low-Rank Learning Using Least Squares-Based Regularization

Ping Li, Jun Yu, Meng Wang +3

Low-rank learning has attracted much attention recently due to its efficacy in a rich variety of real-world tasks, e.g., subspace segmentation and image categorization. Most low-ra…

cs.CV2016★ 72 cited

Online Feature Selection with Group Structure Analysis

Jing Wang, Meng Wang, Peipei Li +4

Online selection of dynamic features has attracted intensive interest in recent years. However, existing online feature selection methods evaluate features individually and ignore…

cs.CV2016★ 43 cited

Visual Processing by a Unified Schatten- Norm and Norm Regularized Principal Component Pursuit

Jing Wang, Meng Wang, Xuegang Hu +1

In this paper, we propose a non-convex formulation to recover the authentic structure from the corrupted real data. Typically, the specific structure is assumed to be low rank, whi…

cs.CV2016★ 484 cited

End-to-End Comparative Attention Networks for Person Re-identification

Hao Liu, Jiashi Feng, Meibin Qi +2

Person re-identification across disjoint camera views has been widely applied in video surveillance yet it is still a challenging problem. One of the major challenges lies in the l…

cs.CV2016

Engineering Deep Representations for Modeling Aesthetic Perception

Yanxiang Chen, Yuxing Hu, Luming Zhang +2

Many aesthetic models in computer vision suffer from two shortcomings: 1) the low descriptiveness and interpretability of those hand-crafted aesthetic criteria (i.e., nonindicative…