51 citations · 196 across the 13 of their papers we have counts for
13 papers
ASFlow: Unsupervised Optical Flow Learning with Adaptive Pyramid Sampling
Kunming Luo, Ao Luo, Chuan Wang +2
We present an unsupervised optical flow estimation method by proposing an adaptive pyramid sampling in the deep pyramid network. Specifically, in the pyramid downsampling, we propo…
Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection
Nianjin Ye, Chuan Wang, Haoqiang Fan +1
In this paper, we introduce a new framework for unsupervised deep homography estimation. Our contributions are 3 folds. First, unlike previous methods that regress 4 offsets for a…
UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data
Ru Li, Chuan Wang, Jue Wang +4
The paper proposes a method to effectively fuse multi-exposure inputs and generate high-quality high dynamic range (HDR) images with unpaired datasets. Deep learning-based HDR imag…
UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning
Kunming Luo, Chuan Wang, Shuaicheng Liu +3
We present an unsupervised learning approach for optical flow estimation by improving the upsampling and learning of pyramid network. We design a self-guided upsample module to tac…
OccInpFlow: Occlusion-Inpainting Optical Flow Estimation by Unsupervised Learning
Kunming Luo, Chuan Wang, Nianjin Ye +2
Occlusion is an inevitable and critical problem in unsupervised optical flow learning. Existing methods either treat occlusions equally as non-occluded regions or simply remove the…
FISHING Net: Future Inference of Semantic Heatmaps In Grids
Noureldin Hendy, Cooper Sloan, Feng Tian +5
For autonomous robots to navigate a complex environment, it is crucial to understand the surrounding scene both geometrically and semantically. Modern autonomous robots employ mult…
FA-GANs: Facial Attractiveness Enhancement with Generative Adversarial Networks on Frontal Faces
Jingwu He, Chuan Wang, Yang Zhang +2
Facial attractiveness enhancement has been an interesting application in Computer Vision and Graphics over these years. It aims to generate a more attractive face via manipulations…
Lossless Attention in Convolutional Networks for Facial Expression Recognition in the Wild
Chuang Wang, Ruimin Hu, Min Hu +5
Unlike the constraint frontal face condition, faces in the wild have various unconstrained interference factors, such as complex illumination, changing perspective and various occl…
DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration
Nianjin Ye, Chuan Wang, Shuaicheng Liu +3
Image alignment by mesh warps, such as meshflow, is a fundamental task which has been widely applied in various vision applications(e.g., multi-frame HDR/denoising, video stabiliza…
Content-Aware Unsupervised Deep Homography Estimation
Jirong Zhang, Chuan Wang, Shuaicheng Liu +5
Homography estimation is a basic image alignment method in many applications. It is usually conducted by extracting and matching sparse feature points, which are error-prone in low…
Frame-Recurrent Video Inpainting by Robust Optical Flow Inference
Yifan Ding, Chuan Wang, Haibin Huang +3
In this paper, we present a new inpainting framework for recovering missing regions of video frames. Compared with image inpainting, performing this task on video presents new chal…
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model
Haonan Qiu, Chuan Wang, Hang Zhu +3
Generating plausible hair image given limited guidance, such as sparse sketches or low-resolution image, has been made possible with the rise of Generative Adversarial Networks (GA…
MGANet: A Robust Model for Quality Enhancement of Compressed Video
Xiandong Meng, Xuan Deng, Shuyuan Zhu +4
In video compression, most of the existing deep learning approaches concentrate on the visual quality of a single frame, while ignoring the useful priors as well as the temporal in…