Zhaowei Cai

I am an applied scientist with Amazon Rekognition team, where I work on computer vision and machine learning. I received my Ph.D. and M.S. degrees from UC San Diego, advised by Nuno Vasconcelos, and B.S. degree from Dalian Maritime University.

I have fortunately worked as research intern at Facebook AI Research (FAIR), Micsoft Research Redmond (MSR), IBM T. J. Watson Research, and Institute of Automation, Chinese Academy of Sciences (CASIA).

Email  /  Google Scholar  /  Github

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Recent News
  • [Call for Papers] I am co-organizing the workshop on Adversarial Robustness in the Real World in ECCV 2020. Please submit your paper here! Deadline: July 10, 2020 AoE.
  • [02/2020] One paper was accepted by CVPR 2020.
  • [01/2020] I recently joined Amazon as applied scientist.
  • [11/2019] I have successfully defended my thesis.

Research

I'm interested in computer vision and machine learning. During my PhD study, most of my research focuses on object detection and low-precision neural networks.

Rethinking Differentiable Search for Mixed-Precision Neural Networks
Zhaowei Cai and Nuno Vasconcelos
CVPR, 2020
arxiv / code / bibtex

UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking
Longyin Wen, Dawei Du, Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim, Ming-Hsuan Yang and Siwei Lyu
CVIU, 2020
arxiv / project / bibtex

Towards Universal Object Detection by Domain Attention
Xudong Wang, Zhaowei Cai, Dashan Gao and Nuno Vasconcelos
CVPR, 2019
arxiv / project / code / bibtex

Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Zhaowei Cai and Nuno Vasconcelos
T-PAMI, 2019
arxiv / project / code / bibtex

Cascade R-CNN: Delving into High Quality Object Detection
Zhaowei Cai and Nuno Vasconcelos
CVPR, 2018
arxiv / project / code / bibtex

Deep Learning with Low Precision by Half-wave Gaussian Quantization
Zhaowei Cai, Xiaodong He, Jian Sun and Nuno Vasconcelos
CVPR, 2017
arxiv / project / code / bibtex

A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
Zhaowei Cai, Quanfu Fan, Rogerio S. Feris and Nuno Vasconcelos
ECCV, 2016
arxiv / project / code / bibtex

Learning Complexity-Aware Cascades for Pedestrian Detection
Zhaowei Cai, Mohammad Saberian and Nuno Vasconcelos
T-PAMI, 2019

Learning Complexity-Aware Cascades for Deep Pedestrian Detection
Zhaowei Cai, Mohammad Saberian and Nuno Vasconcelos
ICCV, 2015
arxiv / demo / bibtex

Robust Deformable and Occluded Object Tracking with Dynamic Graph
Zhaowei Cai, Longyin Wen, Zhen Lei, Nuno Vasconcelos and Stan Z. Li
T-IP, 2014
project / bibtex

Structured Visual Tracking with Dynamic Graph
Zhaowei Cai Longyin Wen, Jianwei Yang, Zhen Lei and Stan Z. Li
ACCV, 2012
bibtex

Robust Online Learned Spatio-Temporal Context Model for Visual Tracking
Longyin Wen, Zhaowei Cai, Zhen Lei, Dong Yi and Stan Z. Li
T-IP, 2014
bibtex

Online Spatio-Temporal Structural Context Learning for Visual Tracking
Longyin Wen, Zhaowei Cai, Zhen Lei, Dong Yi and Stan Z. Li
ECCV, 2012
bibtex

Person-Specific Face Tracking with Online Recognition
Zhaowei Cai, Longyin Wen, Dong Cao, Zhen Lei, Dong Yi and Stan Z. Li
FG, 2013
bibtex

A New Projection Space for Separation of Specular and Diffuse Reflection Components in Color Images
Jianwei Yang, Zhaowei Cai, Zhen Lei, Dong Yi and Stan Z. Li
ACCV, 2012
bibtex


Service
  • Journal Reviewer: T-PAMI, T-IP, CVIU, T-MM, PR, T-CSVT, T-ITS, T-Cybernetics
  • Conference Reviewer: NeurIPS20, ICML20, ECCV20, CVPR20, NeurIPS19, ICML19, ICCV19, CVPR19 (outstanding reviewer), NIPS18, ECCV18, ICML18, CVPR18, NIPS17, ICCV17, CVPR17


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