462 citations · 512 across the 6 of their papers we have counts for
6 papers
Visual Analysis Motivated Rate-Distortion Model for Image Coding
Zhimeng Huang, Chuanmin Jia, Shanshe Wang +1
Optimized for pixel fidelity metrics, images compressed by existing image codec are facing systematic challenges when used for visual analysis tasks, especially under low-bitrate c…
Thousand to One: Semantic Prior Modeling for Conceptual Coding
Jianhui Chang, Zhenghui Zhao, Lingbo Yang +3
Conceptual coding has been an emerging research topic recently, which encodes natural images into disentangled conceptual representations for compression. However, the compression…
Direct Speech-to-image Translation
Jiguo Li, Xinfeng Zhang, Chuanmin Jia +5
Direct speech-to-image translation without text is an interesting and useful topic due to the potential applications in human-computer interaction, art creation, computer-aided des…
Universal Adversarial Perturbations Generative Network for Speaker Recognition
Jiguo Li, Xinfeng Zhang, Chuanmin Jia +5
Attacking deep learning based biometric systems has drawn more and more attention with the wide deployment of fingerprint/face/speaker recognition systems, given the fact that the…
Image and Video Compression with Neural Networks: A Review
Siwei Ma, Xinfeng Zhang, Chuanmin Jia +3
In recent years, the image and video coding technologies have advanced by leaps and bounds. However, due to the popularization of image and video acquisition devices, the growth ra…
Layered Image Compression using Scalable Auto-encoder
Chuanmin Jia, Zhaoyi Liu, Yao Wang +2
This paper presents a novel convolutional neural network (CNN) based image compression framework via scalable auto-encoder (SAE). Specifically, our SAE based deep image codec consi…