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20182021
most citedFISHING Net: Future Inference of Semantic Heatmaps In Grids

51 citations · 196 across the 13 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 4 cited

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…

cs.CV2020★ 8 cited

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…

cs.CV2020★ 51 cited

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…

cs.CV2020★ 2 cited

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…

cs.CV2020★ 3 cited

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…