Zhongzheng (Jason) Ren PhD Student Department of Computer Science University of Illinois Urbana-Champaign (UIUC) Office: CSL 130 Email: zr5 [at] illinois [dot] edu GitHub / CV / Google Scholar / LinkedIn Follow @RenZhongzheng

I am a PhD student in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC). I'm advised by Alex Schwing and closely collaborate with Shenlong Wang. 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 am very fortunate to have spent summer 2021 and 2022 at Adobe Research with Aseem Agarwala, Bryan Russell, and Oliver Wang; summer 2020 at Facebook AI Research (FAIR) with Rohit Girdhar and Ishan Misra; summer 2018 and 2019 at NVIDIA Research with Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz. I worked as machine learning researcher at EgoVid with Michael S. Ryoo in 2017.

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, Graphics, Machine Learning.
I am particularly interested in 4D (3D+time) vision and visual learning from limited labeled data.

News

Pri-print is available on human reconstruction. My dog Loki is featured!

Two papers are accepted into CVPR 2022 on 3D object selection and neural TV-optimization layer.

One paper is accepted into NeurIPS 2021 on 4D reconstruction.

One paper is accepted into IROS'21 on visual multi-agent reinforcement learning.

Publications (*: equal contribution, ^†: alphabetic ordering)

	Occupancy Planes for Single-view RGB-D Human Reconstruction Xiaoming Zhao, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing arXiv, 2022 PDF | BIBTEX In case you're wondering: Yes! That's my dog Loki :)
	Neural Volumetric Object Selection Zhongzheng Ren, Aseem Agarwala†, Bryan Russell†, Alexander G. Schwing†, Oliver Wang† IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 PDF | BIBTEX | Project Also presented at AI for Content Creation Workshop (AI4CC) and Computer Vision for AR/VR workshop (CV4ARVR) at CVPR'22
	Total Variation Optimization Layers for Computer Vision Raymond A. Yeh, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 PDF | BIBTEX | Project
	Class-agnostic Reconstruction of Dynamic Objects from Videos Zhongzheng Ren*, Xiaoming Zhao*, Alexander G. Schwing Neural Information Processing Systems (NeurIPS), 2021 PDF | BIBTEX | Project
	Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning Iou-Jen Liu*, Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 PDF | BIBTEX | Project Also presented at ICML'21 Reinforcement Learning for Real Life Workshop
	3D Spatial Recognition without Spatially Labeled 3D Zhongzheng Ren, Ishan Misra, Alexander G. Schwing, Rohit Girdhar IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 PDF | BIBTEX | Project
	Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing 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/CVF 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 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/CVF 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!

CS 446/ECE 449: Machine Learning (Spring 2022), UIUC
Teaching Assistant (TA) with Matus Telgarsky and Alex Schwing

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.