World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
31218
World Ranking
5458
National Ranking
732

Overview

Xiaojuan Qi is affiliated with the University of Hong Kong in China and specializes in the field of Computer Science, with a focus on Computer Vision and Pattern Recognition.

Their research spans multiple subfields, including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Health, Toxicology and Mutagenesis
  • Food Science
  • Electrical and Electronic Engineering

Major topics covered in their work include:

  • Advanced Neural Network Applications
  • 3D Shape Modeling and Analysis
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Vision and Imaging
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques

Xiaojuan Qi has contributed frequently to several publication venues such as:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Environment International
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Foods

Significant recent papers include:

  • The Liver Tumor Segmentation Benchmark (LiTS), 2022, Medical Image Analysis
  • Stratified Transformer for 3D Point Cloud Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • Unifying Voxel-based Representation with Transformer for 3D Object Detection, 2022, arXiv (Cornell University)

They have collaborated frequently with coauthors including:

  • Jiming Zhang
  • Jikai Wang
  • Zhijun Zhou
  • Jianqiu Guo
  • Chunhua Wu

Best Publications

  • Pyramid Scene Parsing Network

    Hengshuang Zhao;Jianping Shi;Xiaojuan Qi;Xiaogang Wang

  • H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

    Xiaomeng Li;Hao Chen;Xiaojuan Qi;Qi Dou

  • ICNet for Real-Time Semantic Segmentation on High-Resolution Images

    Hengshuang Zhao;Xiaojuan Qi;Xiaoyong Shen;Jianping Shi

  • The Liver Tumor Segmentation Benchmark (LiTS)

    Patrick Bilic;Patrick Ferdinand Christ;Eugene Vorontsov;Grzegorz Chlebus

  • Gland segmentation in colon histology images: The GlaS challenge contest

    Korsuk Sirinukunwattana;Josien P.W. Pluim;Hao Chen;Xiaojuan Qi

  • DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

    Hao Chen;Xiaojuan Qi;Lequan Yu;Pheng-Ann Heng

  • Stratified Transformer for 3D Point Cloud Segmentation

    Unknown

  • DCAN: Deep contour-aware networks for object instance segmentation from histology images

    Hao Chen;Xiaojuan Qi;Lequan Yu;Qi Dou

  • 3D Graph Neural Networks for RGBD Semantic Segmentation

    Xiaojuan Qi;Renjie Liao;Jiaya Jia;Sanja Fidler

  • PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

    Mutian Xu;Runyu Ding;Hengshuang Zhao;Xiaojuan Qi

  • VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking

    Unknown

  • GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation

    Xiaojuan Qi;Renjie Liao;Zhengzhe Liu;Raquel Urtasun

  • Global Texture Enhancement for Fake Face Detection in the Wild

    Zhengzhe Liu;Xiaojuan Qi;Philip H.S. Torr

  • ManiGAN: Text-Guided Image Manipulation

    Bowen Li;Xiaojuan Qi;Thomas Lukasiewicz;Philip H.S. Torr

  • Image inpainting via generative multi-column convolutional neural networks

    Yi Wang;Xin Tao;Xiaojuan Qi;Xiaoyong Shen

  • Referring Image Segmentation via Recurrent Refinement Networks

    Ruiyu Li;Kaican Li;Yi-Chun Kuo;Michelle Shu

  • Unifying Voxel-based Representation with Transformer for 3D Object Detection

    Unknown

  • Controllable Text-to-Image Generation

    Bowen Li;Xiaojuan Qi;Thomas Lukasiewicz;Philip H. S. Torr

  • ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection

    Jihan Yang;Shaoshuai Shi;Zhe Wang;Hongsheng Li

  • Fully Convolutional Networks for Panoptic Segmentation

    Yanwei Li;Hengshuang Zhao;Xiaojuan Qi;Liwei Wang

  • Semi-Parametric Image Synthesis

    Xiaojuan Qi;Qifeng Chen;Jiaya Jia;Vladlen Koltun

  • Few-Shot Action Recognition with Permutation-Invariant Attention

    Hongguang Zhang;Li Zhang;Xiaojuan Qi;Xiaojuan Qi;Hongdong Li

  • Deep contextual networks for neuronal structure segmentation

    Hao Chen;Xiaojuan Qi;Jie-Zhi Cheng;Pheng-Ann Heng

  • Augmented Feedback in Semantic Segmentation Under Image Level Supervision

    Xiaojuan Qi;Zhengzhe Liu;Jianping Shi;Hengshuang Zhao

Frequent Co-Authors

Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Pheng-Ann Heng
Pheng-Ann Heng Chinese University of Hong Kong
Hengshuang Zhao
Hengshuang Zhao University of Hong Kong
Chi-Wing Fu
Chi-Wing Fu Chinese University of Hong Kong
Xiaoyong Shen
Xiaoyong Shen SmartMore Corporation
Jianping Shi
Jianping Shi SenseTime
Thomas Lukasiewicz
Thomas Lukasiewicz University of Oxford
Hao Chen
Hao Chen Chinese University of Hong Kong
Qi Dou
Qi Dou Chinese University of Hong Kong

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