Adaptive graph completion based incomplete multi-view clustering
In real-world applications, it is often that the collected multi-view data are incomplete, ie,
some views of samples are absent. Existing clustering methods for incomplete multi-view …
some views of samples are absent. Existing clustering methods for incomplete multi-view …
Deep-IRTarget: An automatic target detector in infrared imagery using dual-domain feature extraction and allocation
Recently, convolutional neural networks (CNNs) have brought impressive improvements for
object detection. However, detecting targets in infrared images still remains challenging …
object detection. However, detecting targets in infrared images still remains challenging …
DeepQTMT: A deep learning approach for fast QTMT-based CU partition of intra-mode VVC
Versatile Video Coding (VVC), as the latest standard, significantly improves the coding
efficiency over its predecessor standard High Efficiency Video Coding (HEVC), but at the …
efficiency over its predecessor standard High Efficiency Video Coding (HEVC), but at the …
Exploiting intra-slice and inter-slice redundancy for learning-based lossless volumetric image compression
3D volumetric image processing has attracted increasing attention in the last decades, in
which one major research area is to develop efficient lossless volumetric image …
which one major research area is to develop efficient lossless volumetric image …
Deep template-based watermarking
Traditional watermarking algorithms have been extensively studied. As an important type of
watermarking schemes, template-based approaches maintain a very high embedding rate …
watermarking schemes, template-based approaches maintain a very high embedding rate …
HG-FCN: Hierarchical grid fully convolutional network for fast VVC intra coding
As one of the key technologies of Versatile Video Coding (VVC), a flexible quad-tree with a
nested multi-type tree (QTMT) partition structure significantly improves the rate-distortion …
nested multi-type tree (QTMT) partition structure significantly improves the rate-distortion …
A real-time deep learning forest fire monitoring algorithm based on an improved Pruned+ KD model
S Wang, J Zhao, N Ta, X Zhao, M Xiao… - Journal of Real-Time …, 2021 - Springer
To meet the needs of embedded intelligent forest fire monitoring systems using an
unmanned aerial vehicles (UAV), a deep learning fire recognition algorithm based on model …
unmanned aerial vehicles (UAV), a deep learning fire recognition algorithm based on model …
Pose-guided tracking-by-detection: Robust multi-person pose tracking
Multi-person pose tracking task aims to estimate and track person keypoints in videos. Most
of the previous methods follow the general track-by-detection strategy that ignores the …
of the previous methods follow the general track-by-detection strategy that ignores the …
Partition map prediction for fast block partitioning in vvc intra-frame coding
The Versatile Video Coding (VVC) standard introduces a block partitioning structure known
as quadtree plus nested multi-type tree (QTMTT), which allows more flexible block …
as quadtree plus nested multi-type tree (QTMTT), which allows more flexible block …
Wavelet-based deep auto encoder-decoder (wdaed)-based image compression
In this work, we propose a Wavelet-based Deep Auto Encoder-Decoder Network (WDAED)
based image compression which takes care of the various frequency components present in …
based image compression which takes care of the various frequency components present in …