Tiancai Wang

Researcher at MEGVII

Email: wangtiancai [at] megvii [dot] com

Tiancai is a researcher at MEGVII Technology. He obtained the Master degree from Tianjin University at January 2020. For a long time, he was a research intern at MEGVII, Beijing, China. Previously he was also a research intern at Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE. His current research interests include: Computer Vision, Multiple-Object Tracking, Object Detection, Object Segmentation and Human-Object Interaction.

Publications

SOLQ: Segmenting Objects by Learning Queries
Bin Dong*, Fangao Zeng*, Tiancai Wang*, Xiangyu Zhang, Yichen Wei
Neural Information Processing Systems (NeurIPS), 2021.
[paper][code]
Implicit Feature Refinement for Instance Segmentation
Lufan Ma*, Tiancai Wang*, Bin Dong, Jiangpeng Yan, Xiu Li, Xiangyu Zhang
ACM International Conference on Multimedia (ACM MM), 2021.
[paper][code]
MOTR: End-to-End Multiple-Object Tracking with TRansformer
Fangao Zeng*, Bin Dong*, Tiancai Wang*, Xiangyu Zhang, Yichen Wei
Tech Report.
[paper][code]
Implicit Feature Pyramid Network for Object Detection
Tiancai Wang, Xiangyu Zhang, Jian Sun
Tech Report.
[paper]
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
Tiancai Wang, Tong Yang, Jiale Cao, Xiangyu Zhang
The Association for the Advance of Artificial Intelligence (AAAI), 2021.
[paper][code]
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation
Jialian Wu, Liangchen Song, Tiancai Wang, Qian Zhang, Junsong Yuan
ACM International Conference on Multimedia (ACM MM), 2020.
[paper][code]
Learning Human-Object Interaction Detection using Interaction Points
Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[paper][code]
Deep Contextual Attention for Human-Object Interaction Detection
Tiancai Wang*, Rao Muhammad Anwer*, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao
IEEE International Conference on Computer Vision (ICCV), 2019.
[paper]
Learning Rich Features at High-Speed for Single-Shot Object Detection
Tiancai Wang*, Rao Muhammad Anwer*, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao
IEEE International Conference on Computer Vision (ICCV), 2019.
[paper][code]
Efficient Featurized Image Pyramid Network for Single Shot Detector
Yanwei Pang*, Tiancai Wang*, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[paper][code]
Collective neurodynamic optimization for economic emission dispatch problem considering valve point effect in microgrid
Tiancai Wang, Xing He, Tingwen Huang, Chuandong Li, Wei Zhang
Neural Networks (NN), 2017.
[paper]
Complex dynamical behavior of neural networks in circuit implementation
Tiancai Wang, Xing He, Tingwen Huang
Neurocomputing, 2016.
[paper]
Neural networks for power management optimal strategy in hybrid microgrid
Tiancai Wang, Xing He, Ting Deng
Neural Comput & Applic, 2017.
[paper]
Circuit implementation of digitally programmable transconductance amplifier in analog simulation of reaction-diffusion neural model
Miao Sun, Xing He, Tiancai Wang, Tingwen Huang
Neurocomputing, 2017.
[paper]
Neural Network Optimization for Energy-Optimal Cooperative Computing in Wireless Communication System
Yachen He, Xing He, Tiancai Wang
Neurocomputing, 2017.
[paper]

Honors & Awards

Outstanding Graduates, Southwest University (top 1%), 2017.

National Encouragement Scholarship, 2016.

First place, Mathematical Modeling Contest, 2016.

2nd Prize Winner for the University’s Bachelor Thesis Award, Southwest University (top 2%), 2017

Professional Activities

Conference Reviews

ICCV 2021, CVPR 2021, CVPR 2020, WACV 2021, ACCV 2020, ISNN 2016
Journal Reviews

TNNLS, TCSVT, Neurocomputing, Science China