activity
20162021
most citedUnsupervised Deep Hashing for Large-scale Visual Search

27 citations · 50 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction

Ruijing Yang, Ziyu Guan, Zitong Yu +3

Automatic pain recognition is paramount for medical diagnosis and treatment. The existing works fall into three categories: assessing facial appearance changes, exploiting physiolo…

cs.CV2021★ 15 cited

A relic sketch extraction framework based on detail-aware hierarchical deep network

Jinye Peng, Jiaxin Wang, Jun Wang +5

As the first step of the restoration process of painted relics, sketch extraction plays an important role in cultural research. However, sketch extraction suffers from serious dise…

cs.CV2020★ 1 cited

Automatic Image Labelling at Pixel Level

Xiang Zhang, Wei Zhang, Jinye Peng +1

The performance of deep networks for semantic image segmentation largely depends on the availability of large-scale training images which are labelled at the pixel level. Typically…

cs.CV2019★ 7 cited

Super-Resolved Image Perceptual Quality Improvement via Multi-Feature Discriminators

Xuan Zhu, Yue Cheng, Jinye Peng +3

Generative adversarial network (GAN) for image super-resolution (SR) has attracted enormous interests in recent years. However, the GAN-based SR methods only use image discriminato…

cs.CV2016★ 27 cited

Unsupervised Deep Hashing for Large-scale Visual Search

Zhaoqiang Xia, Xiaoyi Feng, Jinye Peng +1

Learning based hashing plays a pivotal role in large-scale visual search. However, most existing hashing algorithms tend to learn shallow models that do not seek representative bin…