World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
27361
World Ranking
1744
National Ranking
889

Overview

Lu Yuan is affiliated with Microsoft in the United States and focuses their research primarily in the field of computer science. Their work spans multiple subfields including computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, electrical and electronic engineering, and aerospace engineering.

Their main research topics include advanced neural network applications, domain adaptation and few-shot learning, multimodal machine learning applications, advanced image and video retrieval techniques, generative adversarial networks and image synthesis, human pose and action recognition, and visual attention and saliency detection.

Lu Yuan has published extensively, with a significant number of papers appearing in the following venues:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Their recent notable publications include:

  • "Mobile-Former: Bridging MobileNet and Transformer", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Vector Quantized Diffusion Model for Text-to-Image Synthesis", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "RegionCLIP: Region-based Language-Image Pretraining", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Dynamic DETR: End-to-End Object Detection with Dynamic Attention", 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Florence: A New Foundation Model for Computer Vision", 2021, arXiv (Cornell University)

Frequent collaborators in Lu Yuan's research include:

  • Dongdong Chen
  • Xiyang Dai
  • Nenghai Yu
  • Yinpeng Chen
  • Mengchen Liu

Lu Yuan's work has contributed to advancing understanding and development in areas such as neural network architectures blending mobile and transformer models, text-to-image synthesis using diffusion models, region-based language-image pretraining methods, end-to-end object detection using dynamic attention, and foundational models in computer vision.

Best Publications

  • Dynamic Convolution: Attention Over Convolution Kernels

    Yinpeng Chen;Xiyang Dai;Mengchen Liu;Dongdong Chen

  • Vector Quantized Diffusion Model for Text-to-Image Synthesis

    Unknown

  • Image deblurring with blurred/noisy image pairs

    Lu Yuan;Jian Sun;Long Quan;Heung-Yeung Shum

  • Dynamic Head: Unifying Object Detection Heads with Attentions

    Xiyang Dai;Yinpeng Chen;Bin Xiao;Dongdong Chen

  • Image completion with structure propagation

    Jian Sun;Lu Yuan;Jiaya Jia;Heung-Yeung Shum

  • Gated Context Aggregation Network for Image Dehazing and Deraining

    Dongdong Chen;Mingming He;Qingnan Fan;Jing Liao

  • Rethinking Classification and Localization for Object Detection

    Yue Wu;Yinpeng Chen;Lu Yuan;Zicheng Liu

  • Deep Feature Flow for Video Recognition

    Xizhou Zhu;Yuwen Xiong;Jifeng Dai;Lu Yuan

  • Flow-Guided Feature Aggregation for Video Object Detection

    Xizhou Zhu;Yujie Wang;Jifeng Dai;Lu Yuan

  • RegionCLIP: Region-based Language-Image Pretraining

    Unknown

  • Bidirectional Learning for Domain Adaptation of Semantic Segmentation

    Yunsheng Li;Lu Yuan;Nuno Vasconcelos

  • Mobile-Former: Bridging MobileNet and Transformer.

    Yinpeng Chen;Xiyang Dai;Dongdong Chen;Mengchen Liu

  • StyleBank: An Explicit Representation for Neural Image Style Transfer

    Dongdong Chen;Lu Yuan;Jing Liao;Nenghai Yu

  • Visual attribute transfer through deep image analogy

    Jing Liao;Yuan Yao;Lu Yuan;Gang Hua

  • Image-based plant modeling

    Long Quan;Ping Tan;Gang Zeng;Lu Yuan

  • Lite-HRNet: A Lightweight High-Resolution Network

    Changqian Yu;Bin Xiao;Changxin Gao;Lu Yuan

  • Bundled camera paths for video stabilization

    Shuaicheng Liu;Lu Yuan;Ping Tan;Jian Sun

  • Dynamic DETR: End-to-End Object Detection With Dynamic Attention

    Xiyang Dai;Yinpeng Chen;Jianwei Yang;Pengchuan Zhang

  • Florence: A New Foundation Model for Computer Vision

    Lu Yuan;Dongdong Chen;Yi-Ling Chen;Noel Codella

  • Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding

    Pengchuan Zhang;Xiyang Dai;Jianwei Yang;Bin Xiao

  • Progressive inter-scale and intra-scale non-blind image deconvolution

    Lu Yuan;Jian Sun;Long Quan;Heung-Yeung Shum

  • Coherent Online Video Style Transfer

    Dongdong Chen;Jing Liao;Lu Yuan;Nenghai Yu

  • Deep exemplar-based colorization

    Mingming He;Dongdong Chen;Jing Liao;Pedro V. Sander

  • Towards High Performance Video Object Detection

    Xizhou Zhu;Jifeng Dai;Lu Yuan;Yichen Wei

Frequent Co-Authors

Gang Hua
Gang Hua Dolby (United States)
Lei Zhang
Lei Zhang International Digital Economy Academy
Jian Sun
Jian Sun Megvii
Zicheng Liu
Zicheng Liu Microsoft (United States)
Nuno Vasconcelos
Nuno Vasconcelos University of California, San Diego
Long Quan
Long Quan Hong Kong University of Science and Technology
Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)
Ping Tan
Ping Tan Simon Fraser University
Yichen Wei
Yichen Wei Microsoft Research Asia (China)
Jifeng Dai
Jifeng Dai Tsinghua University

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