We tackle the problem of estimating a Manhattan frame, i.e. three orthog...
Visual (re)localization is critical for various applications in computer...
The disease is a core concept in the medical field, and the task of
norm...
In contrast to sparse keypoints, a handful of line segments can concisel...
The purpose of write-missing diagnosis detection is to find diseases tha...
Recently, developing an automatic reading system for analog measuring
in...
By integrating certain optimization solvers with deep neural network, de...
Estimating the pose of a moving camera from monocular video is a challen...
In this paper, we introduce a deep multi-view stereo (MVS) system that
j...
Deep network-based image Compressed Sensing (CS) has attracted much atte...
In this work, we present a new multi-view depth estimation method that
u...
For image inpainting, the convolutional neural networks (CNN) in previou...
The widespread application of audio communication technologies has speed...
In this work, we tackle the essential problem of scale inconsistency for...
We propose a differentiable sphere tracing algorithm to bridge the gap
b...
Most convolutional network (CNN)-based inpainting methods adopt standard...
Modern object detectors rely heavily on rectangular bounding boxes, such...
In this paper, we present a new perspective towards image-based shape
ge...
Generating diverse yet specific data is the goal of the generative
adver...
In this paper, we propose an improved quantitative evaluation framework ...
Video object detection is more challenging compared to image object
dete...
Deep learning, e.g., convolutional neural networks (CNNs), has achieved ...
We present a Python module named PyCheb, to solve the ordinary different...
Recently, total variation (TV) based minimization algorithms have achiev...