About Me

I am a PhD student at The University of Adelaide, supervised by Prof. Chunhua Shen. Before that I obtained my Bachelor degree from Tongji University. I have spent time at Megvii (Face++), Tencent, ByteDance, and NVIDIA.

My research interests lie in the area of computer vision and machine learning, especially in enabling machines to see and understand the environment. Specific research topics include 2D/3D/video object detection and instance segmentation.

Contact

Email: xinlong.wang96 [AT] gmail.com OR xinlong.wang [AT] adelaide.edu.au

News

[Mar.2022] FreeSOLO is accepted by CVPR 2022.
[Sept.2021] I am awarded Google PhD Fellowship 2021.
[Aug.2021] Extension of SOLO series is accepted by TPAMI, with improved methods and more applications.
[May.2021] Simple tutorial for applying DenseCL pre-trained models to AdelaiDet, e.g., SOLOv2 (+0.5% AP) and FCOS (+1.0% AP).
[Mar.2021] DenseCL and VisTR are selected for Oral presentations at CVPR 2021!
[Mar.2021] Four papers are accepted by CVPR 2021.
[Dec.2020] Optimized SOLO/SOLOv2 with PyTorch on MMDetection and Detectron2, and third-party implementation with PaddlePaddle.
[Dec.2020] Presented our work SOLOv2 at NeurIPS 2020 virtually at home.
[Dec.2020] One paper is accepted by AAAI 2021.
[Sept.2020] One paper is accepted by NeurIPS 2020.
[Aug.2020] Presented our work SOLO at ECCV 2020 virtually at home.
[Jul.2020] Two papers are accepted by ECCV 2020.
[Nov.2019] One paper is accepted by AAAI 2020 as Oral.
[Jun.2019] Presented our work ASIS at CVPR 2019 in Long Beach, USA.
[Feb.2019] One paper is accepted by CVPR 2019.
[Jul.2018] Graduated from Tongji Univerisity with honors.
[Jun.2018] Presented our work Repulsion Loss at CVPR 2018 in Salt Lake City, USA.
[Feb.2018] One paper is accepted by CVPR 2018.

First-author Publications

  • FreeSOLO: Learning to Segment Objects without Annotations
    Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    [arXiv] [bibtex] [code]
  • SOLO: A Simple Framework for Instance Segmentation
    Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li
    IEEE T. Pattern Analysis and Machine Intelligence (TPAMI), 2021
    [arXiv] [bibtex] [demo] [code] [code@adet]
  • Dense Contrastive Learning for Self-Supervised Visual Pre-Training
    Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    Oral (4.3% acceptance rate)
    [arXiv] [bibtex] [code][usage@adet]
  • SOLOv2: Dynamic and Fast Instance Segmentation
    Xinlong Wang, Rufeng Zhang, Tao Kong, Lei Li, Chunhua Shen
    Advances in Neural Information Processing Systems (NeurIPS), 2020
    [arXiv] [bibtex] [demo] [code] [code@adet]
  • SOLO: Segmenting Objects by Locations
    Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li
    European Conference on Computer Vision (ECCV), 2020
    [arXiv] [bibtex] [code]
  • Task-Aware Monocular Depth Estimation for 3D Object Detection
    Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei Li and Chunhua Shen
    AAAI Conference on Artificial Intelligence (AAAI), 2020
    Oral (4.5% acceptance rate)
    [arXiv] [bibtex] [code]
  • Associatively Segmenting Instances and Semantics in Point Clouds
    Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen and Jiaya Jia
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
    [arXiv] [bibtex] [code]
  • Repulsion Loss: Detecting Pedestrians in a Crowd
    Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun and Chunhua Shen
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
    [arXiv] [bibtex]

Co-author Publications

  • BoxInst: High-Performance Instance Segmentation with Box Annotations
    Zhi Tian, Chunhua Shen, Xinlong Wang, Hao Chen
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    [arXiv] [demo] [code]
  • End-to-End Video Instance Segmentation with Transformers
    Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, Huaxia Xia
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    Oral (4.3% acceptance rate)
    [arXiv] [code]
  • FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions
    Weian Mao, Zhi Tian, Xinlong Wang, Chunhua Shen
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    [arXiv]
  • Conditional Positional Encodings for Vision Transformers
    Xiangxiang Chu, Zhi Tian, Bo Zhang, Xinlong Wang, Xiaolin Wei, Huaxia Xia, Chunhua Shen
    arXiv, 2021
    [arXiv] [code]
  • TFPose: Direct Human Pose Estimation with Transformers
    Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang
    arXiv, 2021
    [arXiv]
  • Diverse Knowledge Distillation for End-to-End Person Search
    Xinyu Zhang, Xinlong Wang, Jia-Wang Bian, Chunhua Shen, Mingyu You
    AAAI Conference on Artificial Intelligence (AAAI), 2021
    [arXiv]
  • Instance-Aware Embedding for Point Cloud Instance Segmentation
    Tong He, Yifan liu, Chunhua Shen, Xinlong Wang, Changming Sun
    European Conference on Computer Vision (ECCV), 2020
    [Paper]

Professional Activities

  • Journal Reviewer
    IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Transactions on Robotics, Neurocomputing, Pattern Recognition

  • Conference Reviewer
    ICML 2022, ECCV 2022, CVPR 2022, AAAI 2022, ICLR 2021, NeurIPS 2021, ICCV 2021, ICML 2021, CVPR 2021, AAAI 2021, NeurIPS 2020, AAAI 2020

  • Presentations
    Tencent talk: "Learning Instance Segmentation with Full/Weak/No Human Supervision", 2022
    Tsinghua University talk: "High-Performance and Label-Efficient Instance Segmentation", 2021
    NVIDIA talk: "Learning to Segment Objects without Annotations", 2021
    TechBeat talk: "Dense Contrastive Learning", 2021
    SmartMore talk: "Dense Contrastive Learning", 2021
    Australian Institute for Machine Learning (AIML) talk: "Dense Contrastive Learning", 2021
    Microsoft Research Asia (MSRA) VCG talk: "SOLO: Segmenting Objects by Locations", 2020
    Megvii Detection talk: "SOLO: Segmenting Objects by Locations", 2019
    Beihang University CoLab talk: "SOLO: Segmenting Objects by Locations", 2019
    ExtremeVision Online talk: "Instance Segmentation in 3D Point Clouds", 2019