no code implementations • 15 Mar 2024 • Qiang Zhu, Jinhua Hao, Yukang Ding, Yu Liu, Qiao Mo, Ming Sun, Chao Zhou, Shuyuan Zhu
Specifically, the ITA module aggregates temporal information from consecutive frames and coding priors, while the MNA module globally captures spatial information guided by residual frames.
no code implementations • 12 Mar 2024 • Yi Zeng, Zhengning Wang, Yuxuan Liu, Tianjiao Zeng, Xuhang Liu, Xinglong Luo, Shuaicheng Liu, Shuyuan Zhu, Bing Zeng
Since texture details intertwine with compression artifacts in compressed dark images, detail enhancement and blocking artifacts suppression contradict each other in image space.
1 code implementation • CVPR 2023 • Feiyu Chen, Jie Shao, Shuyuan Zhu, Heng Tao Shen
Yet, previous works tend to encode multimodal and contextual relationships in a loosely-coupled manner, which may harm relationship modelling.
no code implementations • 16 Nov 2022 • Yu Yuan, Jiaqi Wu, Lindong Wang, Zhongliang Jing, Henry Leung, Shuyuan Zhu, Han Pan
Capturing highly appreciated star field images is extremely challenging due to light pollution, the requirements of specialized hardware, and the high level of photographic skills needed.
no code implementations • 9 Aug 2022 • Renwei Yang, Shuyuan Zhu, Xiaozhen Zheng, Bing Zeng
We design a DCT based convolution layer, to produce DCT coefficients that are suitable for CNN learning.
1 code implementation • 11 Jun 2022 • Hewei Liu, Renwei Yang, Shuyuan Zhu, Xing Wen, Bing Zeng
In this paper, we propose a luminance-guided chrominance image enhancement convolutional neural network for HEVC intra coding.
no code implementations • 14 Jan 2022 • Hewei Liu, Shuyuan Zhu, Ruiqin Xiong, Guanghui Liu, Bing Zeng
In this paper, we propose a new fast CU partition algorithm for VVC intra coding based on cross-block difference.
4 code implementations • 23 Oct 2020 • Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Shuyuan Zhu, Weiming Hu
However, the inherent differences and relations between detection and re-identification (ReID) are unconsciously overlooked because of treating them as two isolated tasks in the one-shot tracking paradigm.
Ranked #1 on Multi-Object Tracking on HiEve (using extra training data)
2 code implementations • 28 Jan 2019 • Xiandong Meng, Xuan Deng, Shuyuan Zhu, Bing Zeng
In this paper, we propose a quality enhancement network of versatile video coding (VVC) compressed videos by jointly exploiting spatial details and temporal structure (SDTS).
2 code implementations • 22 Nov 2018 • Xiandong Meng, Xuan Deng, Shuyuan Zhu, Shuaicheng Liu, Chuan Wang, Chen Chen, Bing Zeng
In video compression, most of the existing deep learning approaches concentrate on the visual quality of a single frame, while ignoring the useful priors as well as the temporal information of adjacent frames.