Reducing the number of bits needed to encode the weights and activations...
Generative AI (AIGC, a.k.a. AI generated content) has made remarkable
pr...
The construction of lightweight High-definition (HD) maps containing
geo...
Image editing and compositing have become ubiquitous in entertainment, f...
Training models dedicated to semantic segmentation requires a large amou...
In this thesis, we propose a pioneering work on sparse keypoints trackin...
Point cloud obtained from 3D scanning is often sparse, noisy, and irregu...
MLP-Mixer has newly appeared as a new challenger against the realm of CN...
Estimating the motion of the camera together with the 3D structure of th...
To reconstruct a 3D scene from a set of calibrated views, traditional
mu...
We propose a novel framework to generate clean video frames from a singl...
This paper presents a stereo object matching method that exploits both 2...
In most of computer vision applications, motion blur is regarded as an
u...
Abrupt motion of camera or objects in a scene result in a blurry video, ...
ResNet or DenseNet? Nowadays, most deep learning based approaches are
im...
Convolutional neural network-based approaches have achieved remarkable
p...
In this paper, we propose a noise-aware exposure control algorithm for r...
In this paper, we propose an efficient algorithm for robust place recogn...