activity
20142023
most citedZero-Shot Hashing via Transferring Supervised Knowledge

33 citations · 114 across the 17 of their papers we have counts for

collaborators

17 papers

cs.CV2023

: Dual-Camera Defocus Control by Learning to Refocus

Hadi Alzayer, Abdullah Abuolaim, Leung Chun Chan +4

Smartphone cameras today are increasingly approaching the versatility and quality of professional cameras through a combination of hardware and software advancements. However, fixe…

cs.CV2023

Learning a Deep Color Difference Metric for Photographic Images

Haoyu Chen, Zhihua Wang, Yang Yang +2

Most well-established and widely used color difference (CD) metrics are handcrafted and subject-calibrated against uniformly colored patches, which do not generalize well to photog…

cs.CV2022

Measuring Perceptual Color Differences of Smartphone Photographs

Zhihua Wang, Keshuo Xu, Yang Yang +5

Measuring perceptual color differences (CDs) is of great importance in modern smartphone photography. Despite the long history, most CD measures have been constrained by psychophys…

cs.CV2022

Completing Partial Point Clouds with Outliers by Collaborative Completion and Segmentation

Changfeng Ma, Yang Yang, Jie Guo +2

Most existing point cloud completion methods are only applicable to partial point clouds without any noises and outliers, which does not always hold in practice. We propose in this…

cs.CV2019★ 14 cited

CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language

Zhi Chen, Jingjing Li, Yadan Luo +2

Existing methods using generative adversarial approaches for Zero-Shot Learning (ZSL) aim to generate realistic visual features from class semantics by a single generative network,…

cs.CV2019★ 3 cited

Alleviating Feature Confusion for Generative Zero-shot Learning

Jingjing Li, Mengmeng Jing, Ke Lu +3

Lately, generative adversarial networks (GANs) have been successfully applied to zero-shot learning (ZSL) and achieved state-of-the-art performance. By synthesizing virtual unseen…