Shenlong Wang

Shenlong Wang

I will be joining the UIUC Department of Computer Science as an Assistant Professor in Fall 2021. I am visiting Intel Intelligent Systems Lab, working with Vladlen Koltun. Previously I was a PhD student at the Department of Computer Science, University of Toronto and worked as a research scientist at Uber ATG, both working with Raquel Urtasun.

I am interested in computer vision and robotics, specifically on topics such as 3D perception and reconstruction, photorealistic content creation, localization and mapping, robot simulation and self-driving.

News

Please visit new webpage at http://shenlong.web.illinois.edu
Talks at CVPR 2021: Autonomous Driving Workshop, Data Compression Tutorial and Self-Driving Tutorial.
Three papers have been accepted by CVPR 2021 (one oral).
One paper has been accepted by ICRA 2021.
One paper has been accepted by NeurIPS 2020.
One paper has been accepted by IROS 2020 (Best Application Paper Finalist).
Three papers have been accepted by ECCV 2020 (one spotlight).
Two papers have been accepted by CVPR 2020 as oral presentations.

Publications

		GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Siva Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun International Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (Oral, Best Paper Candidate*) [Paper] [Poster] [Video] [Project]
		SceneGen: Learning to Generate Realistic Traffic Scenes Shuhan Tan, Kelvin Wong, Shenlong Wang, Siva Manivasagam, Mengye Ren, Raquel Urtasun International Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [Paper] [Video]
		S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling Ze Yang, Shenlong Wang, Siva Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun International Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [Paper] [Video]
		Asynchronous Multi-View SLAM Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang* International Conference on Robotics and Automation (ICRA), Xi'an, 2021 [Paper] [Supp] [Video] [Project]
		MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun, Neural Information Processing Systems (NeurIPS*), 2020 [Paper] [Video] [Project]
		Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars Julieta Martinez, Sasha Doubov, Jack Fan, Ioan Andrei Bârsan, Shenlong Wang Gellert Mattyus, Raquel Urtasun, International Conference on Intelligent Robots and Systems (IROS), 2020 [Paper] [Video]
		Deep Feedback Inverse Problem Solver Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun European Conference on Computer Vision (ECCV), Glasgow, 2020 (Spotlight) [Paper] [Video] [Project]
		Conditional Entropy Coding for Efficient Video Compression Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun European Conference on Computer Vision (ECCV), Glasgow, 2020 [Paper] [Video]
		Deep Structured self-Driving Network Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun European Conference on Computer Vision, Glasgow, 2020 [Paper]
		LidarSIM: Realistic LiDAR Simulation by Leveraging the Real World Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Bin Yang, Shuhan Tan, Mikita Sazanovich, Wei-Chiu Ma and Raquel Urtasun International Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2020 (Oral) [Paper]
		OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, and Raquel Urtasun International Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2020 (Oral) [Paper]
		Identifying Unknown Instances for Autonomous Driving Kelvin Wong, Shenlong Wang, Mengye Ren, and Raquel Urtasun International Conference on Robot Learning (CoRL), Osaka, 2019 (Spotlight) [Paper]
		Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, Yujia Li, William L. Hamilton, David Duvenaud, Raquel Urtasun, and Richard Zemel Neural Information Processing Systems (NeurIPS), Vancouver, 2019 [Paper] [Code]
		DSIC: Deep Stereo Image Compression Jerry Liu, Shenlong Wang, and Raquel Urtasun International Conference on Computer Vision (ICCV), Seoul, 2019 (Oral) [Paper]
		DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, and Raquel Urtasun International Conference on Computer Vision (ICCV), Seoul, 2019 [Paper] [Code]
		Deep Rigid Instance Scene Flow Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, and Raquel Urtasun International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, 2019 (1st place on KITTI Scene Flow) [Paper]
		Learning to Localize through Compressed Binary Maps Xinkai Wei, Ioan Andrei Barsan, Shenlong Wang, Julieta Martinez, and Raquel Urtasun International Conference on Computer Vision and Pattern Recognition (CVPR*), Long Beach, 2019 [Paper]
		Convolutional Recurrent Network for Road Boundary Extraction Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, and Raquel Urtasun International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, 2019 [Paper]
		Learning to Localize Using a LiDAR Intensity Map Ioan Andrei Barsan, Shenlong Wang, Andrei Pokrovsky, and Raquel Urtasun Conference on Robot Learning (CORL), Zurich, 2018 (Spotlight) [Paper][Video]
		Deep Multi-Sensor Lane Detection Min Bai, Gellert Mattyus,Namdar Homayounfar,Shrinidhi Kowshika Lakshmikanth, Shenlong Wang, and Raquel Urtasun International Conference on Intelligent Robots and Systems (IROS), Madrid, 2018 [Paper]
		Deep Continuous Fusion for Multi-Sensor 3D Object Detection Ming Liang, Bin Yang, Shenlong Wang, and Raquel Urtasun European Conference on Computer Vision (ECCV), Munich, 2018 (1st place on KITTI BEV Detection) [Paper]
		Deep Parameteric Continuous Convolutional Neural Networks Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, and Raquel Urtasun International Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, 2018 (Spotlight) [Paper]
		TorontoCity: Seeing the World with a Million Eyes Shenlong Wang, Min Bai, Gellert Mattyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun International Conference on Computer Vision (ICCV), Venice, 2017 (Spotlight*) [Paper] [Update]
		AutoScaler: Scale-Attention Networks for Visual Correspondence Shenlong Wang, Linjie Luo, Ning Zhang and Jia Li British Machine Vision Conference (BMVC), London, 2017 (Oral) [Paper]
		Find Your Way by Observing the Sun and Other Semantic Cues Wei-Chiu Ma, Shenlong Wang, Sanja Fidler and Raquel Urtasun International Conference on Robotics and Automation (ICRA), Singapore, 2017 [Paper] [Video]
		Proximal Deep Structured Models Shenlong Wang, Sanja Fidler and Raquel Urtasun Neural Information Processing Systems (NeurIPS), Barcelona, 2016 [Paper][Supp][Code] [Data] [Update]
		HouseCraft: Building Houses from Rental Ads and Street Views Hang Chu, Shenlong Wang, Sanja Fidler and Raquel Urtasun European Conference on Computer Vision (ECCV), Amsterdam, 2016 [Paper] [Code] [Data]
		Holoportation: Virtual 3D Teleportation in Real-time Sergio Orts-Escolano et al. User Interface Software and Technology Symposium European (UIST), Tokyo, 2016 (Oral) [Paper] [Video]
		The Global Patch Collider Shenlong Wang, Sean Fanello, Christoph Rhemann, Shahram Izadi and Pushmeet Kohli International Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, 2016 (Oral) [Paper] [OpenCV]
		HD Maps: Fine-grained Road Segmentation by Parsing Ground and Aerial Images Gellert Mattyus, Shenlong Wang, Sanja Fidler and Raquel Urtasun International Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, 2016 [Paper] [Data][Video]
		Lost Shopping! Monocular Localization in Large Indoor Spaces Shenlong Wang, Sanja Fidler and Raquel Urtasun International Conference on Computer Vision (ICCV), Santiago, 2015 (Oral) [Paper] [Data]
		Enhancing World Maps by Parsing Aerial Images Gellert Mattyus, Shenlong Wang, Sanja Fidler and Raquel Urtasun International Conference on Computer Vision (ICCV), Santiago, 2015 [Paper] [Code] [Data][Video]
		Holistic 3D Scene Understanding from a Single Geo-tagged Image Shenlong Wang, Sanja Fidler and Raquel Urtasun International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, 2015 (Oral) [Paper] [Code]

		Efficient Inference for Contiuous Markov Random Fields with Polynomial Potentials Shenlong Wang, Alex Schwing and Raquel Urtasun Neural Information Processing Systems (NeurIPS), Montreal, 2014 [Paper] [Code]

		Transductive Gaussian Process on Image Denoising Shenlong Wang, Lei Zhang and Raquel Urtasun International Conference on Computational Photography (ICCP), Santa Clara, 2014 (Oral) [Paper] [Bibtex]

		Semi-Coupled Dictionary Learning with Applications in Image Super-resolution and Photo-Sketch Synthesis Shenlong Wang, Lei Zhang and Yan Liang IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, 2012 [Paper] [Code]

		Nonlocal Spectral Prior Model for Low-level Vision Shenlong Wang, Lei Zhang and Yan Liang Asian Conference on Computer Vision (ACCV), Korea, 2012 [Paper] [Bibtex]

		Relaxed Collaborative Representation for Pattern Classification Meng Yang, Lei Zhang, David Zhang and Shenlong Wang IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, 2012 [Paper] [Bibtex]

Referee Services

Area Chair / SPC: CVPR 2021, AAAI 2021
Journal Reviewer: PAMI, IJCV, TIP, TGRS, CVIU, PR, IVC, TCSVT, TASE, TNNLS
Conference PC Member / Reviewer: CVPR 2015-now, ECCV 2016-now, ICCV 2017-now, ICLR 2017-now, ICML 2016-now, Neurips 2016-now, UAI 2015-2018, ICRA 2016-now, IROS 2018-now

Honors and Awards

IROS Best Application Paper Finalist, 2020
Neurips Top Reviewer, 2020
Facebook Fellowship (13 world-wide, declined), 2017
Adobe Fellowship (10 world-wide, declinded), 2017
RBC Fellowship (3 university-wide), 2017
Platform Computing Graduate Fellowship, UofT, 2016
Best Master's Thesis Award, NPU (Top 0.5%), 2013
Provincial Excellent Gradudate (Top 1%), 2010
National Scholarship (Top 1%), 2009
Special-Class Scholarship (Top 0.5%), 2009
First-Class Scholarship (Top 10%), 2007-2008
Meritorious Winner, Mathematical Contest of Modeling, 2009

Teaching Assistant

ECE 521 - Inference Algorithms and Machine Learning
CSC 320 - Introduction to Visual Computing
CSC 420 - Introduction to Image Understanding
CSC 411 - Machine Learning and Data Mining (multiple times)
CSC 2515 - Introduction to Machine Learning (multiple times)
STA D68 - Advanced Machine Learning and Data Mining

Talks

Learning 3D Representations for Self-Driving, UofT/NVIDIA, 2020
Learning 3D Representations for Self-Driving, UIUC, 2020
Learning to Drive with a Touch of Human Knowledge, 2020
Towards More Robust and Data-Efficient Robotics in the Wild, Intel, 2019
Towards More Robust and Data-Efficient Robotics in the Wild, NVIDIA, 2019
Deep Geometric Scene Understanding for Self-Driving Cars, CREATE Summer School, 2019
Deep Parameteric Continuous Conv, CVPR, 2018
TorontoCity, Endless Summer School, 2017
TorontoCity, ICCV, 2017
The Global Patch Collider, CVPR, 2016
The Global Patch Collider, University of Toronto, 2016
3D Scene Understanding with Knowledge about the World, VALSE Webinar, 2016
3D Scene Understanding with Knowledge about the World, York University, 2015
Lost Shopping! Monocular Localization in Large Indoor Spaces, ICCV, 2015
Holistic 3D Scene Understanding from a Single Monocular Image, CVPR, 2015
Efficient Inference on Continuous MRFs with Polynomial Potentials, University of Toronto, 2014
Efficient Inference on Continuous MRFs with Polynomial Potentials, NCAP Summer School, 2014

Miscs

I have given tutorials on following topics at research seminars:

I take photos in my spare time:

Pentax Photo Gallery (It's a double-blind peer-review system.)
Flickr (It's more like arXiv, including some of my photo submissions rejected by pentax photo gallery.)

I have a lovely daughter, Dorie.