no code implementations • WMT (EMNLP) 2020 • Haijiang Wu, Zixuan Wang, Qingsong Ma, Xinjie Wen, Ruichen Wang, Xiaoli Wang, Yulin Zhang, Zhipeng Yao, Siyao Peng
This paper presents Tencent’s submission to the WMT20 Quality Estimation (QE) Shared Task: Sentence-Level Post-editing Effort for English-Chinese in Task 2.
no code implementations • 2 Dec 2024 • Ruichen Wang, Junliang Zhang, Qingsong Xie, Chen Chen, Haonan Lu
Recently, diffusion models have exhibited superior performance in the area of image inpainting.
no code implementations • 27 May 2024 • Ruichen Wang, Dinesh Manocha
We present a novel machine-learning (ML) approach (EM-GANSim) for real-time electromagnetic (EM) propagation that is used for wireless communication simulation in 3D indoor environments.
no code implementations • 17 Apr 2024 • Yiqun Xie, Zhihao Wang, Weiye Chen, Zhili Li, Xiaowei Jia, Yanhua Li, Ruichen Wang, Kangyang Chai, Ruohan Li, Sergii Skakun
This work aims to enhance the understanding of the status and suitability of foundation models for pixel-level classification using multispectral imagery at moderate resolution, through comparisons with traditional machine learning (ML) and regular-size deep learning models.
no code implementations • 16 Oct 2023 • Ruichen Wang, Samuel Audia, Dinesh Manocha
We present a novel algorithm that enhances the accuracy of electromagnetic field simulations in indoor environments by incorporating the Uniform Geometrical Theory of Diffraction (UTD) for surface diffraction.
no code implementations • 25 May 2023 • Yiqi Lin, Hao Wu, Ruichen Wang, Haonan Lu, Xiaodong Lin, Hui Xiong, Lin Wang
Generating and editing a 3D scene guided by natural language poses a challenge, primarily due to the complexity of specifying the positional relations and volumetric changes within the 3D space.
1 code implementation • 23 May 2023 • Ruichen Wang, Zekang Chen, Chen Chen, Jian Ma, Haonan Lu, Xiaodong Lin
Our approach produces a more semantically accurate synthesis by constraining the attention regions of each token in the prompt to the image.
1 code implementation • 27 Apr 2023 • Defeng Xie, Ruichen Wang, Jian Ma, Chen Chen, Haonan Lu, Dong Yang, Fobo Shi, Xiaodong Lin
We introduce a new generative system called Edit Everything, which can take image and text inputs and produce image outputs.
3 code implementations • 31 Mar 2023 • Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin
Recent breakthroughs in the field of language-guided image generation have yielded impressive achievements, enabling the creation of high-quality and diverse images based on user instructions. Although the synthesis performance is fascinating, one significant limitation of current image generation models is their insufficient ability to generate text coherently within images, particularly for complex glyph structures like Chinese characters.
Optical Character Recognition (OCR)
parameter-efficient fine-tuning
+1
no code implementations • 19 Mar 2023 • Ruichen Wang, Dinesh Manocha
We present a novel ray tracing-based radio propagation algorithm that can handle large urban scenes with hundreds or thousands of dynamic objects and receivers.