In this paper, we propose an effective face completion algorithm using a deep generative
model. Different from well-studied background completion, the face completion task is more …

We consider the problem of face swap** in images, where an input identity is transformed
into a target identity while preserving pose, facial expression and lighting. To perform this …

We develop a deep learning algorithm for contour detection with a fully convolutional
encoder-decoder network. Different from previous low-level edge detection, our algorithm …

In this paper, we propose a spatial propagation networks for learning affinity matrix. We
show that by constructing a row/column linear propagation model, the spatially variant …

We show that even when face images are unconstrained and arbitrarily paired, face
swap** between them is quite simple. To this end, we make the following contributions.(a) …

Road detection from the perspective of moving vehicles is a challenging issue in
autonomous driving. Recently, many deep learning methods spring up for this task, because …

Interpersonal relation defines the association, eg, warm, friendliness, and dominance,
between two or more people. We investigate if such fine-grained and high-level relation …

In this paper, we present an effective and efficient face deblurring algorithm by exploiting
semantic cues via deep convolutional neural networks (CNNs). As face images are highly …

Despite the success of CNNs, selecting the optimal architecture for a given task remains an
open problem. Instead of aiming to select a single optimal architecture, we propose …

This paper introduces a new approach to automatically quantify the severity of knee OA
using X-ray images. Automatically quantifying knee OA severity involves two steps: first …