829 citations · 2.2k across the 40 of their papers we have counts for
13 papers · 1 filter
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning
Yanchun Xie, Jimin Xiao, Kaizhu Huang +2
Correlation filter has been proven to be an effective tool for a number of approaches in visual tracking, particularly for seeking a good balance between tracking accuracy and spee…
Deep Multiple Description Coding by Learning Scalar Quantization
Lijun Zhao, Huihui Bai, Anhong Wang +1
In this paper, we propose a deep multiple description coding framework, whose quantizers are adaptively learned via the minimization of multiple description compressive loss. First…
Devil in the Details: Towards Accurate Single and Multiple Human Parsing
Tao Ruan, Ting Liu, Zilong Huang +4
Human parsing has received considerable interest due to its wide application potentials. Nevertheless, it is still unclear how to develop an accurate human parsing system in an eff…
Virtual Codec Supervised Re-Sampling Network for Image Compression
Lijun Zhao, Huihui Bai, Anhong Wang +1
In this paper, we propose an image re-sampling compression method by learning virtual codec network (VCN) to resolve the non-differentiable problem of quantization function for ima…
Double JPEG Compression Detection by Exploring the Correlations in DCT Domain
Pengpeng Yang, Rongrong Ni, Yao Zhao
In the field of digital image processing, JPEG image compression technique has been widely applied. And numerous image processing software suppose this. It is likely for the images…
Security Consideration For Deep Learning-Based Image Forensics
Wei Zhao, Pengpeng Yang, Rongrong Ni +2
Recently, image forensics community has paied attention to the research on the design of effective algorithms based on deep learning technology and facts proved that combining the…
Adaptive Streaming in Interactive Multiview Video Systems
Xue Zhang, Laura Toni, Pascal Frossard +2
Multiview applications endow final users with the possibility to freely navigate within 3D scenes with minimum-delay. A real feeling of scene navigation is enabled by transmitting…
Robust Contrast Enhancement Forensics Using Pixel and Histogram Domain CNNs
Pengpeng Yang, Rongrong Ni, Yao Zhao +2
Contrast enhancement (CE) forensics has always been ofconcern to image forensics community. It can provide aneffective tool for recovering image history and identifyingtampered ima…
Non-Local Graph-Based Prediction For Reversible Data Hiding In Images
Qi Chang, Gene Cheung, Yao Zhao +2
Reversible data hiding (RDH) is desirable in applications where both the hidden message and the cover medium need to be recovered without loss. Among many RDH approaches is predict…
Mixed-Resolution Image Representation and Compression with Convolutional Neural Networks
Lijun Zhao, Huihui Bai, Feng Li +2
In this paper, we propose an end-to-end mixed-resolution image compression framework with convolutional neural networks. Firstly, given one input image, feature description neural…
Secure Detection of Image Manipulation by means of Random Feature Selection
Zhipeng Chen, Benedetta Tondi, Xiaolong Li +3
We address the problem of data-driven image manipulation detection in the presence of an attacker with limited knowledge about the detector. Specifically, we assume that the attack…
Learning a Virtual Codec Based on Deep Convolutional Neural Network to Compress Image
Lijun Zhao, Huihui Bai, Anhong Wang +1
Although deep convolutional neural network has been proved to efficiently eliminate coding artifacts caused by the coarse quantization of traditional codec, it's difficult to train…
Multiple Description Convolutional Neural Networks for Image Compression
Lijun Zhao, Huihui Bai, Anhong Wang +1
Multiple description coding (MDC) is able to stably transmit the signal in the un-reliable and non-prioritized networks, which has been broadly studied for several decades. However…