548 citations · 1.3k across the 32 of their papers we have counts for
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CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
Jiadong Liang, Wenjie Pei, Feng Lu
Typical methods for text-to-image synthesis seek to design effective generative architecture to model the text-to-image mapping directly. It is fairly arduous due to the cross-moda…
A Sparse Representation Based Joint Demosaicing Method for Single-Chip Polarized Color Sensor
Sijia Wen, Yinqiang Zheng, Feng Lu
The emergence of the single-chip polarized color sensor now allows for simultaneously capturing chromatic and polarimetric information of the scene on a monochromatic image plane.…
Real-Time Semantic Segmentation via Multiply Spatial Fusion Network
Haiyang Si, Zhiqiang Zhang, Feifan Lv +2
Real-time semantic segmentation plays a significant role in industry applications, such as autonomous driving, robotics and so on. It is a challenging task as both efficiency and p…
Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
Yunfei Liu, Yu Li, Shaodi You +1
Intrinsic image decomposition, which is an essential task in computer vision, aims to infer the reflectance and shading of the scene. It is challenging since it needs to separate o…
Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset
Feifan Lv, Yu Li, Feng Lu
Low-light image enhancement is challenging in that it needs to consider not only brightness recovery but also complex issues like color distortion and noise, which usually hide in…
Semantic Guided Single Image Reflection Removal
Yunfei Liu, Yu Li, Shaodi You +1
Reflection is common in images capturing scenes behind a glass window, which is not only a disturbance visually but also influence the performance of other computer vision algorith…
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems
Xingjun Ma, Yuhao Niu, Lin Gu +4
Deep neural networks (DNNs) have become popular for medical image analysis tasks like cancer diagnosis and lesion detection. However, a recent study demonstrates that medical deep…
Separate In Latent Space: Unsupervised Single Image Layer Separation
Yunfei Liu, Feng Lu
Many real world vision tasks, such as reflection removal from a transparent surface and intrinsic image decomposition, can be modeled as single image layer separation. However, thi…
What I See Is What You See: Joint Attention Learning for First and Third Person Video Co-analysis
Huangyue Yu, Minjie Cai, Yunfei Liu +1
In recent years, more and more videos are captured from the first-person viewpoint by wearable cameras. Such first-person video provides additional information besides the traditio…
Mutual Context Network for Jointly Estimating Egocentric Gaze and Actions
Yifei Huang, Zhenqiang Li, Minjie Cai +1
In this work, we address two coupled tasks of gaze prediction and action recognition in egocentric videos by exploring their mutual context. Our assumption is that in the procedure…