no code implementations • 13 Feb 2024 • Yanchen Zhao, Wenxuan He, Chuanmin Jia, Qizhe Wang, Junru Li, Yue Li, Chaoyi Lin, Kai Zhang, Li Zhang, Siwei Ma
In this paper, a hybrid video compression framework is proposed that serves as a demonstrative showcase of deep learning-based approaches extending beyond the confines of traditional coding methodologies.
no code implementations • 25 Jun 2023 • Kexiang Feng, Chuanmin Jia, Siwei Ma, Wen Gao
Recently, the bio-inspired spike camera with continuous motion recording capability has attracted tremendous attention due to its ultra high temporal resolution imaging characteristic.
no code implementations • 14 Apr 2023 • Yuefeng Zhang, Chuanmin Jia, Jiannhui Chang, Siwei Ma
In this age of information, images are a critical medium for storing and transmitting information.
no code implementations • 15 Jan 2023 • Chuanmin Jia, Feng Ye, Huifang Sun, Siwei Ma, Wen Gao
During the past decade, the Unmanned-Aerial-Vehicles (UAVs) have attracted increasing attention due to their flexible, extensive, and dynamic space-sensing capabilities.
1 code implementation • 13 Nov 2022 • Qi Zhang, Shanshe Wang, Xinfeng Zhang, Chuanmin Jia, Zhao Wang, Siwei Ma, Wen Gao
Each score is derived from machine perceptual differences between original and compressed images.
no code implementations • 6 Sep 2022 • Jiguo Li, Chuanmin Jia, Xinfeng Zhang, Siwei Ma, Wen Gao
With the recent advances in cross modal translation and generation, in this paper, we propose the cross modal compression~(CMC), a semantic compression framework for visual data, to transform the high redundant visual data~(such as image, video, etc.)
no code implementations • 24 Jun 2021 • Chuanmin Jia, Ziqing Ge, Shanshe Wang, Siwei Ma, Wen Gao
End-to-end optimized neural image compression (NIC) has obtained superior lossy compression performance recently.
no code implementations • 21 Apr 2021 • Zhimeng Huang, Chuanmin Jia, Shanshe Wang, Siwei Ma
We first propose the region of interest for machine (ROIM) to evaluate the degree of importance for each coding tree unit (CTU) in visual analysis.
no code implementations • 12 Mar 2021 • Jianhui Chang, Zhenghui Zhao, Lingbo Yang, Chuanmin Jia, Jian Zhang, Siwei Ma
To this end, we propose a novel end-to-end semantic prior modeling-based conceptual coding scheme towards extremely low bitrate image compression, which leverages semantic-wise deep representations as a unified prior for entropy estimation and texture synthesis.
2 code implementations • 10 Nov 2020 • Jianhui Chang, Zhenghui Zhao, Chuanmin Jia, Shiqi Wang, Lingbo Yang, Qi Mao, Jian Zhang, Siwei Ma
To this end, we propose a novel conceptual compression framework that encodes visual data into compact structure and texture representations, then decodes in a deep synthesis fashion, aiming to achieve better visual reconstruction quality, flexible content manipulation, and potential support for various vision tasks.
1 code implementation • 7 Apr 2020 • Jiguo Li, Xinfeng Zhang, Chuanmin Jia, Jizheng Xu, Li Zhang, Yue Wang, Siwei Ma, Wen Gao
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 neural networks are vulnerable to the adversarial examples, which have been intentionally perturbed to remain almost imperceptible for human.
1 code implementation • 7 Apr 2020 • Jiguo Li, Xinfeng Zhang, Chuanmin Jia, Jizheng Xu, Li Zhang, Yue Wang, Siwei Ma, Wen Gao
In this paper, we attempt to translate the speech signals into the image signals without the transcription stage.
Multimedia Sound Audio and Speech Processing
no code implementations • 7 Apr 2019 • Siwei Ma, Xinfeng Zhang, Chuanmin Jia, Zhenghui Zhao, Shiqi Wang, Shanshe Wang
Deep convolution neural network (CNN) which makes the neural network resurge in recent years and has achieved great success in both artificial intelligent and signal processing fields, also provides a novel and promising solution for image and video compression.
no code implementations • 25 Sep 2017 • Chuanmin Jia, Shiqi Wang, Xinfeng Zhang, Shanshe Wang, Siwei Ma
Deep learning has demonstrated tremendous break through in the area of image/video processing.
Multimedia