Pan Ji, Ph.D.

Dr. Pan Ji is currently a researcher at NEC Labs America. Before moving to the U.S. in Feb. 2018, he worked as an ARC Senior Research Associate (post-doc) with Pro. Ian Reid at the University of Adelaide since Jul. 2016. Prior to that, he was a PhD student of the Australian National University from Jan. 2013 to Jul. 2016, supervised by Pro. Hongdong Li and Dr. Mathieu Salzmann. His research interests lie in computer vision (especially 3D vision) and unsupervised learning (e.g., clustering). He received the Best Student Paper Award at the International Conference on Image Processing (ICIP) 2014, Paris.

From Sep. 2011 to Oct. 2012, Pan was a research assistant in the 3DTV Laboratory of Zhejiang University, China. He received his Bachelor's Degree of Engineering with Chu Kochen Honors from Zhejiang University in Jun. 2011.

News

We are hiring interns for summer 2019!

I joined NEC Labs America in Cupertino, CA, in Feb. 2018.

Papers

Google Scholar

Tong Zhang, Pan Ji(*), Mehrtash Harandi, Wenbing Huang, Hongdong Li. Neural collaborative subspace clustering. in International Conference on Machine Learning (ICML), 2019.

Yiran Zhong, Pan Ji, Jianyuan Wang, Yuchao Dai, Hongdong Li. Unsupervised deep epipolar flow for stationary or dynamic scenes. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

Xuelian Cheng(*), Yiran Zhong(*), Yuchao Dai, Pan Ji, Hongdong Li. Noise-aware unsupervised deep lidar-stereo fusion. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

Bingbing Zhuang, Quoc-Huy Tran, Pan Ji, Loong-Fah Cheong, Manmohan Chandraker. Learning structure-and-motion-aware rolling shutter correction. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Oral.

Tong Zhang, Pan Ji, Mehrtash Harandi, Richard Hartley, Ian Reid. Scalable deep k-subspace clustering. In Asian Conference on Computer Vision (ACCV), 2018.

Pan Ji, Ian Reid, Ravi Garg, Hongdong Li, and Mathieu Salzmann. Adaptive low-rank kernel subspace clustering. arXiv preprint arXiv:1707.04974. Code.

Pan Ji(*), Tong Zhang(*), Hongdong Li, Mathieu Salzmann, Ian Reid. Deep subspace clustering networks. In Conference on Neural Information Processing Systems (NeurIPS), 2017. Code.

Pan Ji, Hongdong Li, Yuchao Dai, Ian Reid. "Maximizing rigidity" revisited: a convex programming approach for generic 3D shape reconstruction from multiple perspective views. In IEEE International Conference on Computer Vision (ICCV), 2017. Code.

Pan Ji, Hongdong Li, Mathieu Salzmann, and Yiran Zhong. Robust multi-body feature tracker: A segmentation-free approach. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Spotlight (short oral). Suppl. Code. Talk

Pan Ji, Mathieu Salzmann, and Hongdong Li. Shape interaction matrix revisited and robustified: Efficient subspace clustering with corrupted and incomplete data. In IEEE International Conference on Computer Vision (ICCV), 2015, Oral. Code. Data. Suppl. Talk.

Pan Ji, Hongdong Li, Mathieu Salzmann, and Yuchao Dai. Robust motion segmentation with unknown correspondences. In European Conference on Computer Vision (ECCV), 2014, Poster. Code. Data.

Pan Ji, Yiran Zhong, Hongdong Li, and Mathieu Salzmann. Null space clustering with applications to motion segmentation and face clustering. In IEEE International Conference on Image Processing (ICIP), 2014, Best Student Paper Award. Code.

Pan Ji, Mathieu Salzmann, and Hongdong Li. Efficient dense subspace clustering. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2014, short oral and poster. Code.

Qingqing Yang, Pan Ji, Dongxiao Li, Shaojun Yao, and Ming Zhang. Fast stereo matching using adaptive guided filtering. Image and Vision Computing, vol 32, no. 3 (2014): 202-211.

Pan Ji, Lianghao Wang, Dongxiao Li, and Ming Zhang. An automatic 2D to 3D conversion algorithm using multi-depth cues. In ICALIP, 2012, Oral.

Pan Ji, Lianghao Wang, Dongxiao Li, and Ming Zhang. A novel 2D-to-3D conversion method based on blocks world. In ICALIP, 2012, Oral.

CV

Please see my Linkedin profile.

Software

Please go to my Github for latest versions of source codes.

Professional Service

I've been a committee member (reviewer) for various top-tier journals/conferences including TPAMI, TIP, TNNLS, CVPR, ICCV, ECCV, NeurIPS, AAAI, IJCAI, WACV and 3DV.