Qilin Zhang

I am currently a Lead Research Engineer in the Highly Automated Driving (HAD) team at HERE Technologies Automotive Division in Chicago, IL.

Previously, I graduated with a Ph.D. in Computer Science from Stevens Institute of Technology, Hoboken, NJ in the summer of 2016. During my Ph.D. studies, I worked in areas such as Machine Learning (including Deep Learning, CNNs), multimedia signal processing and Computer Vision.

Prior to attending Stevens, I received my Bachelor of Engineering from University of Science and Technology of China and my Master of Science from University of Florida.

As a passionate engineer and researcher, I appreciate the opportunities to build a network with innovative individuals who share the interests in Machine Learning, Deep Learning and Computer Vision.


A full list of my publications could be found here.


Selected Conference Publications

Weakly Supervised Temporal Action Localization through Contrast based Evaluation Networks

Ziyi Liu, Le Wang, Qilin Zhang, Zhanning Gao, Zhenxing Niu, Nanning Zheng, Gang Hua, “Weakly Supervised Temporal Action Localization through Contrast based Evaluation Networks”, in Proc. IEEE International Conference in Computer Vision (ICCV 2019), Seoul, Korea, Oct. 27-Nov. 2, 2019. [BibTex]

Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos

Zhanning Gao, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng, and Gang Hua, “Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos”, In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), January 27 - February 1, 2019, Honolulu, Hawaii, USA. (oral presentation) [Link], [PDF], [BibTex]

Video-based Sign Language Recognition without Temporal Segmentation

Huang, Jie, Wengang Zhou, Qilin Zhang, Houqiang Li, and Weiping Li “Video-based Sign Language Recognition without Temporal Segmentation.” In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), Feb. 2-7, 2018, New Orleans, Louisiana, USA. [Link], [arXiv], [PDF], [BibTeX]

Multi-View Visual Recognition of Imperfect Testing Data

Zhang, Qilin, and Gang Hua. “Multi-view visual recognition of imperfect testing data.” In Proceedings of the 23rd ACM international conference on Multimedia, pp. 561-570. ACM, 2015. (oral presentation) [Link], [PDF], [BibTeX]

Selected Journal Publications

Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks

Ziyi Liu, Le Wang, Gang Hua, Qilin Zhang, Zhenxing Niu, Ying Wu, Nanning Zheng, “Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks”, IEEE Transactions on Image Processing, vol. 27, no. 12, pp. 5840-5853, Dec. 2018. [Link], [PDF], [BibTeX]

Iterative Sparse Asymptotic Minimum Variance Based Approaches for Array Processing

Abeida, Habti, Qilin Zhang, Jian Li, and Nadjim Merabtine. “Iterative sparse asymptotic minimum variance based approaches for array processing.” IEEE Transactions on Signal Processing 61, no. 4 (2013): 933-944. [Link], [arXiv], [PDF], [Code Zip], [BibTeX]

**Electronic papers shared on this website are for fast dissemination of research work. The copyrights of the papers belong to the corresponding publishers.**