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. I am a recipient of the Google PhD Fellowship in 2021.
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.
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, Transactions on Machine Learning ResearchConference Reviewer
NeurIPS 2022, 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