Zobrazeno 1 - 10
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pro vyhledávání: '"Liu, Dong"'
Learned image compression (LIC) has achieved state-of-the-art rate-distortion performance, deemed promising for next-generation image compression techniques. However, pre-trained LIC models usually suffer from significant performance degradation when
Externí odkaz:
http://arxiv.org/abs/2409.11111
Autor:
Zhou, Jie, Vincent, Daniel, Acharya, Sudip, Ojo, Solomon, Abrand, Alireza, Liu, Yang, Gong, Jiarui, Liu, Dong, Haessly, Samuel, Shen, Jianping, Xu, Shining, Li, Yiran, Lu, Yi, Stanchu, Hryhorii, Mawst, Luke, Claflin, Bruce, Mohseni, Parsian K., Ma, Zhenqiang, Yu, Shui-Qing
Group IV GeSn double-heterostructure (DHS) lasers offer unique advantages of a direct bandgap and CMOS compatibility. However, further improvements in laser performance have been bottlenecked by limited junction properties of GeSn through conventiona
Externí odkaz:
http://arxiv.org/abs/2409.09752
Autor:
Li, Zhuoyuan, Liao, Junqi, Tang, Chuanbo, Zhang, Haotian, Li, Yuqi, Bian, Yifan, Sheng, Xihua, Feng, Xinmin, Li, Yao, Gao, Changsheng, Li, Li, Liu, Dong, Wu, Feng
Image/video coding has been a remarkable research area for both academia and industry for many years. Testing datasets, especially high-quality image/video datasets are desirable for the justified evaluation of coding-related research, practical appl
Externí odkaz:
http://arxiv.org/abs/2409.08481
Electrical Impedance Tomography (EIT) is a non-invasive imaging technique that reconstructs conductivity distributions within a body from boundary measurements. However, EIT reconstruction is hindered by its ill-posed nonlinear inverse problem, which
Externí odkaz:
http://arxiv.org/abs/2409.04494
Autor:
Liu, Dong
Large Language Models (LLMs) have revolutionized natural language processing by achieving state-of-the-art results across a variety of tasks. However, the computational demands of LLM inference, including high memory consumption and slow processing s
Externí odkaz:
http://arxiv.org/abs/2409.01990
Deep video compression has made remarkable process in recent years, with the majority of advancements concentrated on P-frame coding. Although efforts to enhance B-frame coding are ongoing, their compression performance is still far behind that of tr
Externí odkaz:
http://arxiv.org/abs/2408.08604
The emerging large models have achieved notable progress in the fields of natural language processing and computer vision. However, large models for neural video coding are still unexplored. In this paper, we try to explore how to build a large neura
Externí odkaz:
http://arxiv.org/abs/2407.19402
This paper investigates the intrinsic group structures within the framework of large-dimensional approximate factor models, which portrays homogeneous effects of the common factors on the individuals that fall into the same group. To this end, we pro
Externí odkaz:
http://arxiv.org/abs/2407.19378
Autor:
Abbasi, Haris Naeem, Zhou, Jie, Wang, Ding, Wang, Ping, Lu, Yi, Gong, Jiarui, Liu, Dong, Liu, Yang, Singh, Ranveer, Mi, Zetian, Ma, Zhenqiang
Ultra-wide bandgap (UWBG) materials hold immense potential for high-power RF electronics and deep ultraviolet photonics. Among these, AlGaN emerges as a promising candidate, offering a tunable bandgap from 3.4 eV (GaN) to 6.2 eV (AlN) and remarkable
Externí odkaz:
http://arxiv.org/abs/2407.17360
Inter prediction is a key technology to reduce the temporal redundancy in video coding. In natural videos, there are usually multiple moving objects with variable velocity, resulting in complex motion fields that are difficult to represent compactly.
Externí odkaz:
http://arxiv.org/abs/2407.11541