Search Results - "Luo, Zhengxiong"

End-to-End Alternating Optimization for Real-World Blind Super Resolution by Luo, Zhengxiong, Huang, Yan, Li, Shang, Wang, Liang, Tan, Tieniu

“…Blind super-resolution (SR) usually involves two sub-problems: (1) estimating the degradation of the given low-resolution (LR) image; (2) super-resolving the…”
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Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation by Luo, Zhengxiong, Wang, Zhicheng, Huang, Yan, Wang, Liang, Tan, Tieniu, Zhou, Erjin

“…Heatmap regression has become the most prevalent choice for nowadays human pose estimation methods. The ground-truth heatmaps are usually constructed via…”
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From general to specific: Online updating for blind super-resolution by Li, Shang, Zhang, Guixuan, Luo, Zhengxiong, Liu, Jie, Zeng, Zhi, Zhang, Shuwu

“…•Towards the unknown and various degradations in blind super resolution, we propose an online updating super resolution method. It could customize a specific…”
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Parallel Fuzzing of IoT Messaging Protocols Through Collaborative Packet Generation by Luo, Zhengxiong, Yu, Junze, Du, Qingpeng, Zhao, Yanyang, Wu, Feifan, Shi, Heyuan, Chang, Wanli, Jiang, Yu

“…Internet of Things (IoT) messaging protocols play an important role in facilitating communications between users and IoT devices. Mainstream IoT platforms…”
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Degradation regression with uncertainty for blind super-resolution by Li, Shang, Zhang, Guixuan, Luo, Zhengxiong, Liu, Jie, Zeng, Zhi, Zhang, Shuwu

“…Some recent blind super-resolution (SR) efforts focus on designing complex degradation models to better simulate real-world degradations. The paired…”
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Vulnerability Detection of ICS Protocols Via Cross-State Fuzzing by Zuo, Feilong, Luo, Zhengxiong, Yu, Junze, Chen, Ting, Xu, Zichen, Cui, Aiguo, Jiang, Yu

“…Industrial Control System (ICS) employs complex multi-state protocols to realize high-reliability communication and intelligent control over automation…”
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Monte Carlo based angular distribution estimation method of multiply scattered photons for underwater imaging by Li, Shengfu, Chen, Guanghua, Wang, Rongbo, Luo, Zhengxiong, Peng, Qixian

“…This paper proposes a Monte Carlo (MC) based angular distribution estimation method of multiply scattered photons for underwater imaging. This method targets…”
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PAVFuzz: State-Sensitive Fuzz Testing of Protocols in Autonomous Vehicles by Zuo, Feilong, Luo, Zhengxiong, Yu, Junze, Liu, Zhe, Jiang, Yu

“…The rapid development of in-vehicle networks and protocols brings efficient communication service but also increases the risk of attack. Any vulnerability may…”
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ICS Protocol Fuzzing: Coverage Guided Packet Crack and Generation by Luo, Zhengxiong, Zuo, Feilong, Shen, Yuheng, Jiao, Xun, Chang, Wanli, Jiang, Yu

“…Industrial Control System (ICS) protocols play an essential role in building communications among system components. Recently, many severe vulnerabilities,…”
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Efficient Super Resolution by Recursive Aggregation by Luo, Zhengxiong, Huang, Yan, Li, Shang, Wang, Liang, Tan, Tieniu

“…Deep neural networks have achieved remarkable results on image super resolution (SR), but the efficiency problem of deep SR networks is rarely studied. We…”
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Dot matrix for evaluating holographic recording process by Zhao, Yu, Zhong, Jie, Luo, Zhengxiong, Li, Zuoyou, Ye, Yan

“…Dry plate based holography is still playing an important role in some areas that demands big fields of view and high resolution simultaneously. But the…”
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Learning the Degradation Distribution for Blind Image Super-Resolution by Luo, Zhengxiong, Huang, Yan, Li, Shang, Wang, Liang, Tan, Tieniu

“…Synthetic high-resolution (HR) \& low-resolution (LR) pairs are widely used in existing super-resolution (SR) methods. To avoid the domain gap between…”
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End-to-end Alternating Optimization for Real-World Blind Super Resolution by Luo, Zhengxiong, Huang, Yan, Li, Shang, Wang, Liang, Tan, Tieniu

“…International Journal of Computer Vision (IJCV) 2023 Blind Super-Resolution (SR) usually involves two sub-problems: 1) estimating the degradation of the given…”
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End-to-end Alternating Optimization for Blind Super Resolution by Luo, Zhengxiong, Huang, Yan, Li, Shang, Wang, Liang, Tan, Tieniu

“…Previous methods decompose the blind super-resolution (SR) problem into two sequential steps: \textit{i}) estimating the blur kernel from given low-resolution…”
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Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation by Luo, Zhengxiong, Wang, Zhicheng, Huang, Yan, Tan, Tieniu, Zhou, Erjin

“…Heatmap regression has become the most prevalent choice for nowadays human pose estimation methods. The ground-truth heatmaps are usually constructed via…”
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Retraction Notice: VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation by Luo, Zhengxiong, Chen, Dayou, Zhang, Yingya, Huang, Yan, Wang, Liang, Shen, Yujun, Zhao, Deli, Zhou, Jingren, Tan, Tieniu

“…A diffusion probabilistic model (DPM), which constructs a forward diffusion process by gradually adding noise to data points and learns the reverse denoising…”
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Notice of Removal: VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation by Luo, Zhengxiong, Chen, Dayou, Zhang, Yingya, Huang, Yan, Wang, Liang, Shen, Yujun, Zhao, Deli, Zhou, Jingren, Tan, Tieniu

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Unfolding the Alternating Optimization for Blind Super Resolution by Luo, Zhengxiong, Huang, Yan, Li, Shang, Wang, Liang, Tan, Tieniu

“…Previous methods decompose blind super resolution (SR) problem into two sequential steps: \textit{i}) estimating blur kernel from given low-resolution (LR)…”
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VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation by Luo, Zhengxiong, Chen, Dayou, Zhang, Yingya, Huang, Yan, Wang, Liang, Shen, Yujun, Zhao, Deli, Zhou, Jingren, Tan, Tieniu

“…A diffusion probabilistic model (DPM), which constructs a forward diffusion process by gradually adding noise to data points and learns the reverse denoising…”
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From General to Specific: Online Updating for Blind Super-Resolution by Li, Shang, Zhang, Guixuan, Luo, Zhengxiong, Liu, Jie, Zeng, Zhi, Zhang, Shuwu

“…Pattern Recognition, Volume 127, July 2022, 108613 Most deep learning-based super-resolution (SR) methods are not image-specific: 1) They are trained on…”
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