I am currently a computer vision lead at ByteDance/TikTok, Singapore and also holding an appointment as an adjunct assistant professor at the National University of Singapore. Before that, I was a research fellow at the University of Oxford, and a member of Torr Vision Group (TVG) working with Prof. Philip H.S. Torr. I serve/have served as an Associate Editor of Pattern Recognition, Guest Editors of IEEE Transactions on Pattern Analysis and Machine Intelligence, and an Area Chair of CVPR 2023, CVPR 2024, and NeurIPS 2023.

[Hiring!] Actively recruiting scientists, engineers, research interns, and engineering interns in China and Singapore. Feel free to contact me!

[Contact Information]
For job and research related matters: songbai [dot] site [at] gmail [dot] com
For teaching related matters in NUS: song [dot] bai [at] nus [dot] edu [dot] sg

[Call for Papers!] ICCV 2023 Workshop on New Ideas in Vision Transformers

Recent News

Jul 2023: DragDiffusion - check drag editing on diffusion models here!
Jul 2023: two papers are accepted by ICCV 2023.
Jun 2023: check adversarial attack for diffusion models here!
Jun 2023: I am invited as an Area Chair (AC) of CVPR 2024.
Mar 2023: I am invited as an Area Chair (AC) of NeurIPS 2023.
Feb 2023: two papers are accepted by CVPR 2023.
Feb 2023: check MOSE here: a challenging dataset for video object segmentation!
Jan 2023: three papers are accepted by ICLR 2023.
Dec 2022: one paper is accepted by TPAMI.
Sep 2022: I am invited as an Area Chair (AC) of CVPR 2023.
Sep 2022: I am appointed as an adjunct assistant professor at the National University of Singapore.
Jul 2022: I am co-organizing the ECCV 2022 Workshop on Multiple Object Tracking and Segmentation in Complex Environments. Welcome to participate in the 2nd Occluded Video Instance Segmentation Challenge!
Jul 2022: five papers are accepted by ECCV 2022.
Jun 2022: one paper is accepted by ACM MM 2022.
Jun 2022: our team ByteVIS won the 1st place on CVPR 2022 YouTube Video Instance Segmentation Challenge (check our winner solution here).
May 2022: “Occluded Video Instance Segmentation: A Benchmark” is accepted by IJCV.
Mar 2022: seven papers are accepted by CVPR 2022.
Oct 2021: technical report on OVIS Dataset and ICCV 2021 Challenge is accepted by NeurIPS 2021 Datasets and Benchmarks Track.
Sep 2021: one paper about Federated Learning for COVID-19 Diagnosis is accepted by Nature Machine Intelligence.
Jul 2021: I am invited as a Senior Program Committee (SPC) member of AAAI 2022.
Jul 2021: one paper about 3D plane recovery is accpeted by ICCV 2021.
Mar 2021: I am co-organizing the ICCV 2021 Workshop on Occluded Video Instance Segmentation.
Mar 2021: three papers are accepted by CVPR 2021.
Feb 2021: I am co-organizing the CVPR 2021 Workshop on Robust Video Scene Understanding: Tracking and Video Segmentation.
Oct 2020: one paper is accepted by TPAMI.
Sep 2020: one paper is accepted by Pattern Recognition.
Jul 2020: one paper is accepted by ACM MM 2020.
Jul 2020: three papers are accepted by ECCV 2020.
Apr 2020: I am co-organizing the ECCV 2020 Workshop on Adversarial Robustness in the Real World.
Feb 2020: two papers are accepted by CVPR 2020.
Feb 2020: I receive a gift from DeepMind to sponsor our workshop held in conjunction with CVPR 2020.
Feb 2020: our workshop proposal about adversarial robustness is accepted by ECCV 2020.
Jan 2020: I am co-organizing the CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision.
Dec 2019: one paper about line segment detection is accepted by TPAMI.
Nov 2019: one paper about transferable adversarial attack is accepted by AAAI 2020 (PDF).
Oct 2019: our workshop proposal about adversarial machine learning is accepted by CVPR 2020.
Jul 2019: seven papers are accepted by ICCV 2019.
May 2019: our team Oxford-CASIA achieves the 2nd place in the 2019 DAVIS Challenge on Unsupervised Video Object Segmentation.
Apr 2019: our special issue proposal about graph networks is accepted by TPAMI.
Feb 2019: three papers are accepted by CVPR 2019.
Jan 2019: I am appointed as an Associate Editor (AE) of Pattern Recognition.
Oct 2018: one paper about object detection is accepted by TPAMI (PDF | CODE).
Aug 2018: one paper about 3D multi-organ segmentation is accepted by WACV 2019 as an oral presentation (PDF).
Aug 2018: I join the University of Oxford as a research fellow.
Jul 2018: one paper about image and 3D shape retrieval is accepted by TIP (PDF).
Jul 2018: one paper about person re-identification is accepted by ECCV 2018 (PDF).
Jun 2018: one paper about object retrieval is accepted by PR (PDF).
May 2018: I join the Inception Institute of Artificial Intelligence as a research scientist.
Apr 2018: one paper about object retrieval is accepted by TPAMI (PDF | CODE).
Mar 2018: one paper about 3D shape recognition is accepted by CVPR 2018 (PDF).
Jul 2017: one paper about object retrieval is accepted by ICCV 2017 as an oral presentation (PDF).
Mar 2017: one paper about reranking-based person re-identification is accepted by CVPR 2017 as a spotlight presentation (PDF).
Feb 2017: one paper about object retrieval is accepted by AAAI 2017 as an oral presentation (PDF).

My research interests span computer vision and machine learning with a series of topics, such as graph neural networks and adversarial learning. such as 3D shape recognition, image retrieval and classification, person re-identification and medical image analysis. Before that, I received my B.E. degree and Ph.D. degree from [Huazhong University of Science and Technology](http://english.hust.edu.cn) (HUST), under the supervision of Prof. [Xiang Bai](http://122.205.5.5:8071/~xbai/). I was a research scholar at the [University of Texas at San Antonio](https://www.utsa.edu/) (UTSA) supervised by Prof. [Qi Tian](http://www.cs.utsa.edu/~qitian/), and with the [Computational Cognition, Vision, and Learning](https://ccvl.jhu.edu/) (CCVL) research group at the [Johns Hopkins University](https://www.jhu.edu/) (JHU) supervised by Prof. [Alan Yuille](http://www.cs.jhu.edu/~ayuille/). I serve as an Associate Editor of [Pattern Recognition](https://www.journals.elsevier.com/pattern-recognition). [Call for Papers] ECCV 2020 Workshop on [Adversarial Robustness in the Real World](https://eccv20-adv-workshop.github.io/). Deadline: ~~July 20, 2020 AoE~~. (Submission Closed) [Call for Papers] CVPR 2020 Workshop on [Adversarial Machine Learning in Computer Vision](https://adv-workshop-2020.github.io/). Deadline: ~~March 15, 2020 AoE~~. (Submission Closed) [Call for Papers] IEEE TPAMI Special Issue on [Graphs in Vision and Pattern Analysis](http://songbai.site/files/Call-for-Papers.pdf). Deadline: ~~October 15, 2019 AoE~~ (Submission Closed). - Do not worry if you do not recieve the decision on time. We are chasing the reviewers. [Preprint] A versatile loss function for location-sensitive recognition: [Cross-IOU Loss](https://arxiv.org/abs/2104.04899)! [Preprint] A benchmark for video instance segmentation in occluded scenes: [OVIS](https://arxiv.org/abs/2102.01558)! Its [challenge](https://competitions.codalab.org/competitions/32377) is being held in conjunction with ICCV 2021! [Call for Papers] CVPR 2021 [Workshop on Robust Video Scene Understanding: Tracking and Video Segmentation](https://eval.vision.rwth-aachen.de/rvsu-workshop21/). [Call for Papers] ICCV 2021 [Workshop on Occluded Video Instance Segmentation](https://ovis-workshop.github.io/). [Call for Papers!] IEEE TPAMI Special Issue on [Large-Scale Multimodal Learning: Universality, Robustness, Efficiency, and Beyond](http://www.pengxu.net/cfp.html). Deadline: ~~March 1, 2023 AoE~~