1 code implementation • 11 Sep 2024 • Xinrui Wang, Lanqing Guo, Xiyu Wang, Siyu Huang, Bihan Wen
In view of this, inspired by the physical model of shadow formation, we introduce novel soft shadow masks specifically designed for shadow removal.
no code implementations • 20 May 2024 • Xiyu Wang, YuFei Wang, Satoshi Tsutsui, Weisi Lin, Bihan Wen, Alex C. Kot
Additionally, to mitigate the character confusion of generated results, we propose EpicEvo, a method that customizes a diffusion-based visual story generation model with a single story featuring the new characters seamlessly integrating them into established character dynamics.
no code implementations • 23 Aug 2023 • Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu
Diffusion Probabilistic Models (DPMs) have demonstrated substantial promise in image generation tasks but heavily rely on the availability of large amounts of training data.
no code implementations • 23 Aug 2023 • Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu
Our proposed sampler can be readily applied to a pre-trained diffusion model, utilizing momentum mechanisms and adaptive updating to smooth the reverse sampling process and ensure stable generation, resulting in outputs of enhanced quality.
no code implementations • 11 Jul 2023 • Dongbo Wang, Chang Liu, Zhixiao Zhao, Si Shen, Liu Liu, Bin Li, Haotian Hu, Mengcheng Wu, Litao Lin, Xue Zhao, Xiyu Wang
In the context of the rapid development of large language models, we have meticulously trained and introduced the GujiBERT and GujiGPT language models, which are foundational models specifically designed for intelligent information processing of ancient texts.
no code implementations • 29 Jun 2023 • Zhongwei Qiu, Qiansheng Yang, Jian Wang, Xiyu Wang, Chang Xu, Dongmei Fu, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang
One of the mainstream schemes for 2D human pose estimation (HPE) is learning keypoints heatmaps by a neural network.
no code implementations • 18 Mar 2023 • Xiyu Wang, Yuecong Xu, Jianfei Yang, Bihan Wen, Alex C. Kot
The second module compares the outputs of augmented data from the current model to the outputs of weakly augmented data from the source model, forming a novel consistency regularization on the model to alleviate the accumulation of prediction errors.
no code implementations • 31 Jan 2023 • Jingyi Liao, Xiyu Wang, Kalle Ruttik, Riku Jantti, Phan-Huy Dinh-Thuy
Long Term Evolution (LTE) signal is ubiquitously present in electromagnetic (EM) background environment, which make it an attractive signal source for the ambient backscatter communications (AmBC).
no code implementations • 2 Sep 2022 • Kalle Ruttik, Xiyu Wang, Jingyi Liao, Riku Jantti, Phan-Huy Dinh-Thuy
Long Term Evolution (LTE) systems provide ubiquitous coverage for mobile communications, which makes it a promising candidate to be used as a signal source in the ambient backscatter communications.
no code implementations • 13 Apr 2022 • Xiyu Wang, Yuecong Xu, Kezhi Mao, Jianfei Yang
It utilizes a novel class weight calibration method to alleviate the negative transfer caused by incorrect class weights.
no code implementations • 15 Jan 2022 • Xiyu Wang, Pengxin Guo, Yu Zhang
Specifically, in BCAT, we design a weight-sharing quadruple-branch transformer with a bidirectional cross-attention mechanism to learn domain-invariant feature representations.
no code implementations • 21 Aug 2020 • Xiyu Wang, Hüseyin Yiğitler, Riku Jäntti
Efforts have been put into backscatter signal detection as the detection performance is limited by the low signal-to-interference-plus-noise ratio (SINR) of the signal at the receiver.
no code implementations • 21 Aug 2020 • Xiyu Wang, Hüseyin Yiğitler, Ruifeng Duan, Estifanos Yohannes Menta, Riku Jäntti
The performance of the proposed receiver is compared with the ideal coherent receiver that has a perfect phase information, and also with the performance of non-coherent receiver, which assumes distributions for ambient signal and phase offset caused by excess length of the backscatter path.
1 code implementation • 7 Nov 2017 • Yize Chen, Xiyu Wang, Baosen Zhang
Simulation results indicate our method is able to generate scenarios that capture spatial and temporal correlations.
Optimization and Control