Jason Ren

Zhongzheng (Jason) Ren

PhD Student

Department of Computer Science

University of Illinois Urbana-Champaign (UIUC)

Email: zr5 [at] illinois [dot] edu

GitHub / CV / Google Scholar / LinkedIn Follow @RenZhongzheng

Aloooha! I am currently a PhD student in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC), working with Alex Schwing. Previously, I obtained Master's in Computer Science from UC Davis after spending two wonderful years with Yong Jae Lee. I completed Bachelor of Software Engineering at Sun Yat-sen University (中山大学).

I spent summer 2020 at Facebook AI Research (FAIR) working with Ishan Misra and Rohit Girdhar, summer 2018 and 2019 at NVIDIA Research working with Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz. I worked as machine learning researcher at EgoVid with Michael S. Ryoo from 2017 to 2018.

My research wouldn't be possible without support made by Yee Memorial Fund Fellowship, Yunni & Maxine Pao Memorial Fellowship, Amazon AWS, UC Davis, and UIUC. Thanks so much!

Research Interests: Computer Vision and Machine Learning.
I am particularly interested in 4D reconstruction and visual learning from limited labeled data.

News

One paper is accepted into CVPR'21 on 3D weakly-supervised recognition. Stay tuned!

I'll join Adobe Research for 2021 summer internship!

Thrilled to receive the 2021 Yee Fellowship. Thanks!

Received an outstanding reviewer award by ICLR 2021! Thanks!

Check out our recent work on semi-supervised, weakly-supervised, and omni-supervised learning.

Publications

	3D Spatial Recognition without Spatially Labeled 3D Zhongzheng Ren, Ishan Misra, Alexander G. Schwing, Rohit Girdhar IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 BIBTEX
	Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing (* indicates equal contribution) Neural Information Processing Systems (NeurIPS), 2020 PDF \| BIBTEX \| Project
	UFO²: A Unified Framework towards Omni-supervised Object Detection Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz European Conference on Computer Vision (ECCV), 2020 PDF \| BIBTEX \| Project
	Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 PDF \| BIBTEX \| Project Also presented at CVPR'20 Visual Learning with Limited Labels Workshop.
	Learning to Anonymize Faces for Privacy Preserving Action Detection Zhongzheng Ren, Yong Jae Lee, Michael S. Ryoo European Conference on Computer Vision (ECCV), 2018 PDF \| BIBTEX \| Project YouTube Also presented at CVPR'18 workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security.
	Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery Zhongzheng Ren, Yong Jae Lee IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 PDF \| BIBTEX \| Project
	Who moved my cheese? Automatic Annotation of Rodent Behaviors with Convolutional Neural Networks Zhongzheng Ren, Adriana Noronha, Annie Vogel Ciernia, Yong Jae Lee IEEE Winter Conference on Applications of Computer Vision (WACV), 2017 PDF \| BIBTEX \| Project

Teaching

We (mostly Alex) developed an efficient tool PDFCrop for creating Compass/Blackboard online exam from pdf files. Check out this demo video and reach out if you need access!

ECE 544: Pattern Recognition (Fall 2020), UIUC
Teaching Assistant (TA) with Alex Schwing

CS 446/ECE 449: Machine Learning (Spring 2020), UIUC
Teaching Assistant (TA) with Alex Schwing

ECS 174: Computer Vision (Spring 2017), UC Davis
Teaching Assistant (TA) with Yong Jae Lee

Misc.

My Chinese name is 任中正.

I maintain awesome-self-supervised-learning on Github. You are more than welcome to contribute and share :)

My Erdős number is 4 computed by csauthors.net. Try yours:)
Paul Erdős -> Ronald L. Graham -> Chung-Kuan Cheng -> Xiaodong Yang -> Zhongzheng Ren.

	3D Spatial Recognition without Spatially Labeled 3D Zhongzheng Ren, Ishan Misra, Alexander G. Schwing, Rohit Girdhar IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 BIBTEX
	Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing (* indicates equal contribution) Neural Information Processing Systems (NeurIPS), 2020 PDF \| BIBTEX \| Project
	UFO²: A Unified Framework towards Omni-supervised Object Detection Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz European Conference on Computer Vision (ECCV), 2020 PDF \| BIBTEX \| Project
	Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 PDF \| BIBTEX \| Project Also presented at CVPR'20 Visual Learning with Limited Labels Workshop.
	Learning to Anonymize Faces for Privacy Preserving Action Detection Zhongzheng Ren, Yong Jae Lee, Michael S. Ryoo European Conference on Computer Vision (ECCV), 2018 PDF \| BIBTEX \| Project YouTube Also presented at CVPR'18 workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security.
	Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery Zhongzheng Ren, Yong Jae Lee IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 PDF \| BIBTEX \| Project
	Who moved my cheese? Automatic Annotation of Rodent Behaviors with Convolutional Neural Networks Zhongzheng Ren, Adriana Noronha, Annie Vogel Ciernia, Yong Jae Lee IEEE Winter Conference on Applications of Computer Vision (WACV), 2017 PDF \| BIBTEX \| Project