activity
20192022
most citedLook, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification

6 citations · 8 across the 6 of their papers we have counts for

collaborators

10 papers

eess.IV20222 cited

HDRfeat: A Feature-Rich Network for High Dynamic Range Image Reconstruction

Lingkai Zhu, Fei Zhou, Bozhi Liu +1

A major challenge for high dynamic range (HDR) image reconstruction from multi-exposed low dynamic range (LDR) images, especially with dynamic scenes, is the extraction and merging…

eess.IV2021

VHS to HDTV Video Translation using Multi-task Adversarial Learning

Hongming Luo, Guangsen Liao, Xianxu Hou +3

There are large amount of valuable video archives in Video Home System (VHS) format. However, due to the analog nature, their quality is often poor. Compared to High-definition tel…

cs.CV2020

Towards Disentangling Latent Space for Unsupervised Semantic Face Editing

Kanglin Liu, Gaofeng Cao, Fei Zhou +3

Facial attributes in StyleGAN generated images are entangled in the latent space which makes it very difficult to independently control a specific attribute without affecting the o…

cs.CV2020

Class-Aware Domain Adaptation for Improving Adversarial Robustness

Xianxu Hou, Jingxin Liu, Bolei Xu +3

Recent works have demonstrated convolutional neural networks are vulnerable to adversarial examples, i.e., inputs to machine learning models that an attacker has intentionally desi…

cs.GR2020

Gaussian Curvature Filter on 3D Meshes

Wenming Tang, Yuanhao Gong, Kanglin Liu +4

Minimizing the Gaussian curvature of meshes can play a fundamental role in 3D mesh processing. However, there is a lack of computationally efficient and robust Gaussian curvature o…

cs.CV2019

Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation

Xianxu Hou, Jingxin Liu, Bolei Xu +6

Supervised semantic segmentation normally assumes the test data being in a similar data domain as the training data. However, in practice, the domain mismatch between the training…