98 citations · 135 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
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…
Learning Deep Image Priors for Blind Image Denoising
Xianxu Hou, Hongming Luo, Jingxin Liu +5
Image denoising is the process of removing noise from noisy images, which is an image domain transferring task, i.e., from a single or several noise level domains to a photo-realis…
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification
Bolei Xu, Jingxin Liu, Xianxu Hou +6
One issue with computer based histopathology image analysis is that the size of the raw image is usually very large. Taking the raw image as input to the deep learning model would…
Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric Learning Network
Rui Cao, Qian Zhang, Jiasong Zhu +4
With the rapid growing of remotely sensed imagery data, there is a high demand for effective and efficient image retrieval tools to manage and exploit such data. In this letter, we…
Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization
Qing Li, Jiasong Zhu, Rui Cao +5
6DOF camera relocalization is an important component of autonomous driving and navigation. Deep learning has recently emerged as a promising technique to tackle this problem. In th…