Shenlong Wang

Shenlong Wang

I am an Assistant Professor at the UIUC Department of Computer Science, affiliated with Computer Vision @ UIUC, Illinois Robotics Group and Center for Immersive Computing @ UIUC. I finished my PhD at Department of Computer Science, University of Toronto and worked as a research scientist at Uber, advised by Raquel Urtasun.

I work at the intersection of 3D vision and robotics. My group builds (a) spatial intelligence—algorithms that perceive, reconstruct, and reason about the 3D physical world; and (b) digital twins—physics-informed models that faithfully replicate the real world, simulate its dynamics, and even predict how it will evolve. We use these world models to power real-world decision-making in robotics, autonomous systems, immersive computing, and agricultural and ecological applications.

Positions

We are always looking for motivated students to join us.

Prospective PhD students: Thank you for your interest! Please apply to the PhD programs in UIUC CS or ECE and list me as a potential advisor. I’m sorry that I can’t respond to individual admissions emails, but I warmly encourage you to apply through the official portal.
Current UIUC grad and undergrad students: Please send me an email with your CV and transcript if you are interested.
Visiting students: Please send me your CV and transcript through email.

Group Members

Tianhang Cheng
CS PhD(w/ Kaiyu Guan)

Hanxiao Jiang
CS PhD(w/ Yunzhu Li)

Chih-Hao Lin
CS PhD

Shaowei Liu
CS PhD(w/ Saurabh Gupta)

Jing Wen
CS PhD(w/ Alex Schwing)

Hongchi Xia
CS PhD

Albert J. Zhai
CS PhD

Vlas Zyrianov
CS PhD

Henry Che
CS MS

Jason Mei
ECE MS

Gloria Wang
CS BS

Sydney Yu
CS BS

Past members: See this link

News Show Recent Show All

[2025.11] Talk at AIFARMS on agricultural digital twins.
[2025.10] Best Paper Award at ISMAR 2025. Congratulations to Yihan and the team!
[2025.10] Keynote at IROS RobotGen Workshop (with Best Keynote Speaker Award).
[2025.10] Co-organizing the 3D in the Wild Workshop at ICCV 2025.
[2025.09] Three papers accepted to NeurIPS 2025.
[2025.08] We are grateful to NSF Formal Methods in the Field (FMitF) for supporting certifiable visual computing.
[2025.07] Talks at Stanford and XPeng.
[2025.07] Four papers accepted to ICCV 2025 (one spotlight). Congratulations to the team!
[2025.06] Invited talk at Ind3D: Enforcing Inductive Bias in 3D Generation workshop at CVPR 2025.
[2025.06] Co-host the Vision Meets Physics: Synergizing Physical Simulation and Computer Vision and Foundation Models Meet Embodied Agents workshops at CVPR 2025.
[2025.05] Invited talk at IMMERSE Symposium.
[2025.05] Thank you Airbrush for your research gift!
[2025.04] We are grateful to receive the Dean's Award for Excellence in Research.
[2025.04] One paper has been accepted by RSS 2025. Congratulations to the team!
[2025.03] Five papers have been accepted by CVPR 2025. Congratulations to the team!
[2025.03] Invited talk at UPenn, 3DV AC Workshop and NUS.
[2025.01] One paper has been accepted by ICLR 2025. Congratulations to the team!
[2025.01] One paper has been accepted by ICRA 2025. Congratulations to the team!
[2024.11] Four papers have been accepted by 3DV 2025. Congratulations to the team!
[2024.10] Co-host the 3D Modeling, Reconstruction, and Generation in the Wild Workshop at ECCV 2024.
[2024.10] Invited talk at CV4Metaverse Workshop at ECCV 2024.
[2024.08] Two papers have been accepted by ECCV 2024. Congratulations to the team!
[2024.08] One paper has been accepted by TRO. Congratulations to the team!
[2024.08] Invited talk at AVIATE Seminar.
[2024.06] We are grateful to the Meta for sponsoring our research on generative models for immersive computing.
[2024.06] We are grateful to the NSF Foundational Research in Robotics (FRR) for sponsoring our research on introspection and counterfactual reasoning for autonomy.
[2024.06] One paper has been accepted by RA-L. Congratulations to the team!
[2024.06] Chih-Hao and Albert has been selected as 2024 Qualcomm Innovation Fellowship Finalist. Congrats!
[2024.06] Invited talk at Peking U, Tsinghua U, NJU, HKU, CUHK.
[2024.05] Invited talk at Nvidia and Waabi.
[2024.05] We are grateful to the NSF Cyber-Physical Systems (CPS) for sponsoring our research on radar-based perception.
[2024.03] Invited talk at AICE Spring Research Symposium
[2024.03] Three papers have been accepted by CVPR 2024. Congratulations to the team!
[2024.01] One paper has been accepted by ICRA. Congratulations to the team!
[2024.01] We are grateful to the NSF Robust Intelligence Program for suppporting our research on digital twins with a CAREER award.
[2024.01] Invited talk at IMMERSE Annual Symposium
[2024.01] Thank you Meta for the research gift support!
[2023.11] One paper has been accepted by RA-L. Congratulations to the team!
[2023.09] One paper has been accepted by NeurIPS 2023. Congratulations to Tianhang!
[2023.09] Invited talk at C3.ai Generative AI Workshop
[2023.09] We are grateful to the NSF Safe Learning-Enabled Systems Program for sponsoring our research on safe autonmous .
[2023.09] We are grateful to the NSF Robust Intelligence Program for sponsoring our research on neural scene models.
[2023.09] Thank you Amazon-Illinois AICE center for the research grant support!
[2023.07] Four papers have been accepted by ICCV 2023. Congratulations to Albert, Yuan, Chih-Hao, Xiyue and Shaowei!
[2023.07] Thank you Intel for the research gift support!
[2023.06] Talks at CVPR 2023: Scene Understanding Workshop, Secure and Safe Autonomous Driving Workshop.
[2023.06] Co-host the End-to-End Autonomous Driving Workshop at CVPR 2023.
[2023.05] Thank you IBM for the research grant support!
[2023.05] Vlas won New Frontier Fellowship. Congratulations to Vlas!
[2023.03] Thank you Jump-Arches and NCSA for the research grant support!
[2023.03] One paper has been accepted by CVPR 2023. Congratulations to Shaowei!
[2023.01] One paper has been accepted by L4DC 2023 as spotlight. Congratulations to Sheng!
[2022.09] Two papers have been accepted by NeurIPS 2022. Congratulations to Yuan, Yuefan and Zeyuan!
[2022.08] Thank you Insper-Illinois fund for the research grant support!
[2022.08] Our group is honored to receive the Amazon Research Award.
[2022.09] One paper has been accepted by ECCV 2022. Congratulations to Vlas!
[2022.03] Two papers have been accepted by CVPR 2022. Congratulations to Wei-Chiu and Chih-Hao!
[2022.03] Vlas won NSF GRFP honorable mention. Congratulations to Vlas!
[2022.01] Thank you Nvidia for the hardware research grant support!
[2021.06] Talks at CVPR 2021: Autonomous Driving Workshop, Data Compression Tutorial and Self-Driving Tutorial.
[2021.03] Three papers have been accepted by CVPR 2021 (one oral).
[2021.01] One paper has been accepted by ICRA 2021.
[2020.09] One paper has been accepted by NeurIPS 2020.
[2020.09] One paper has been accepted by IROS 2020 (Best Application Paper Finalist).
[2020.08] Three papers have been accepted by ECCV 2020 (one spotlight).
[2020.03] Two papers have been accepted by CVPR 2020 as oral presentations.

Publications Show Selected Show by Date

		CropCraft: Complete Structural Characterization of Crop Plants from Images Albert J. Zhai, Xinlei Wang, Kaiyuan Li, Zhao Jiang, Junxiong Zhou, Sheng Wang, Zhenong Jin, Kaiyu Guan, Shenlong Wang 3DV, 2026 (Oral) [Paper] [Project] [Code]
		Ada: A Distributed, Power-Aware, Real-Time Scene Provider for XR Yihan Pang, Sushant Kondguli, Shenlong Wang, Sarita Adve ISMAR, 2025 (Best Paper Award) [Paper] [Project] [Code]
		HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video Hongchi Xia, Chih-Hao Lin, Hao-Yu Hsu, Quentin Leboutet, Katelyn Gao, Michael Paulitsch, Benjamin Ummenhofer, Shenlong Wang NeurIPS, 2025 [Paper] [Project] [Code]
		NoPo-Avatar: Generalizable and Animatable Avatars from Sparse Inputs without Human Poses Jing Wen, Alex Schwing, Shenlong Wang NeurIPS, 2025 [Paper] [Project] [Code]
		Visual Sync: Multi-Camera Synchronization via Cross-View Object Motion Shaowei Liu, David Yifan Yao, Saurabh Gupta⁺, Shenlong Wang⁺ NeurIPS, 2025 [Paper] [Project] [Code]
		Demeter: A Parametric Model of Crop Plant Morphology from the Real World Tianhang Cheng, Albert J. Zhai, Evan Z. Chen, Rui Zhou, Yawen Deng, Zitong Li, Kejie Zhao, Janice Shiu, Qianyu Zhao, Yide Xu, Xinlei Wang, Yuan Shen, Sheng Wang, Lisa Ainsworth, Kaiyu Guan, Shenlong Wang ICCV, 2025 [Paper] [Project] [Code]
		Controllable Weather Simulation and Removal with Video Diffusion Models Chih-Hao Lin, Zian Wang, Ruofan Liang, Yuxuan Zhang, Sanja Fidler, Shenlong Wang, Zan Gojcic ICCV, 2025 [Paper] [Project] [Data]
		InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Xiaoxue Chen, Bhargav Chandaka, Chih-Hao Lin, Ya-Qin Zhang, David Forsyth, Hao Zhao, Shenlong Wang ICCV, 2025 [Paper] [Project] [Code]
		AD-GS: Object-Aware B-Spline Gaussian Splatting for Self-Supervised Autonomous Driving Jiawei Xu, Kai Deng, Zexin Fan, Shenlong Wang, Jin Xie, Jian Yang ICCV, 2025 [Paper] [Project] [Code]
		PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos Hanxiao Jiang, Hao-Yu Hsu, Kaifeng Zhang, Hsin-Ni Yu, Shenlong Wang, Yunzhu Li ICCV, 2025 [Paper] [Project] [Code]
		Human-like Navigation in a World Built for Humans Bhargav Chandaka, Gloria X. Wang, Haozhe Chen, Henry Che, Albert J. Zhai, Shenlong Wang CoRL, 2025 [Paper] [Project] [Code]
		Map Space Belief Prediction for Manipulation-Enhanced Mapping Joao Marcos Correia Marques, Nils Dengler, Jesper Mücke, Tobias Zaenker, Shenlong Wang, Maren Bennewitz, Kris Hauser RSS, 2025 [Paper] [Project] [Code]
		Uni4D: Unifying Large Vision Models for 4D Modeling from a Single Video David Yifan Yao, Albert J. Zhai, Shenlong Wang CVPR, 2025 (Highlight) [Paper] [Project] [Code]
		IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images Chih-Hao Lin, Jia-Bin Huang, Zhengqin Li, Zhao Dong, Christian Richardt, Michael Zollhöfer, Johannes Kopf, Shenlong Wang, Changil Kim CVPR, 2025 [Paper] [Project] [Code]
		DRAWER: Digital Reconstruction and Articulation With Environment Realism Hongchi Xia, Entong Su, Marius Memmel, Arhan Jain, Raymond Yu, Numfor Mbiziwo-Tiapo, Ali Farhadi, Abhishek Gupta, Shenlong Wang, Wei-Chiu Ma CVPR, 2025 [Paper] [Project] [Code]
		PhysGen3D: Crafting a Miniature Interactive World from a Single Image Boyuan Chen, Hanxiao Jiang, Shaowei Liu, Saurabh Gupta, Yunzhu Li, Hao Zhao, Shenlong Wang CVPR, 2025 [Paper] [Project] [Code]
		VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Ziyue Zhu, Shenlong Wang, Jin Xie, Jiang-Jiang Liu, Jingdong Wang, Jian Yang CVPR, 2025 [Paper] [Project] [Code]
		Life-GOM: Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh Jing Wen, Alex Schwing, Shenlong Wang ICLR, 2025 [Paper] [Project] [Code]
		LidarDM: Generative LiDAR Simulation in a Generated World Vlas Zyrianov, Henry Che, Zhijian Liu, Shenlong Wang ICRA, 2025 [Paper] [Project] [Code]
		AutoVFX: Physically Realistic Video Editing from Natural Language Instructions Hao-Yu Hsu, Chih-Hao Lin, Albert J. Zhai, Hongchi Xia, Shenlong Wang 3DV, 2025 [Paper] [Project] [Code]
		MonoPatchNeRF: Improving Neural Radiance Fields with Patch-based Monocular Guidance Yuqun Wu, Jae Yong Lee, Chuhang Zou, Shenlong Wang, Derek Hoiem 3DV, 2025 [Paper] [Project] [Code]
		Plenoptic PNG: Real-Time Neural Radiance Fields in 150 KB Jae Yong Lee, Yuqun Wu, Chuhang Zou, Derek Hoiem, Shenlong Wang 3DV, 2025 [Paper] [Project] [Code]
		UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video Chih-Hao Lin, Bohan Liu, Yi-Ting Chen, Kuan Sheng Chen, David Forsyth, Jia-Bin Huang, Anand Bhattad, Shenlong Wang 3DV, 2025 [Paper] [Project] [Code]
		RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation Hanxiao Jiang, Binghao Huang, Ruihai Wu, Zhuoran Li, Shubham Garg, Hooshang Nayyeri, Shenlong Wang, Yunzhu Li CoRL, 2024 [Paper] [Project] [Code]
		PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation Shaowei Liu, Zhongzheng Ren, Saurabh Gupta, Shenlong Wang ECCV**, 2024 [Paper] [Project] [Code]
		SuperGaussian: Repurposing Video Models for 3D Super Resolution Yuan Shen, Duygu Ceylan, Paul Guerrero, Zexiang Xu, Niloy J. Mitra, Shenlong Wang, Anna Früshtück ECCV, 2024 [PDF] [Project] [Code]
		DiffTune: Auto-Tuning through Auto-Differentiation Sheng Cheng, Minkyung Kim, Lin Song, Chengyu Yang, Yiquan Jin, Shenlong Wang, Naira Hovakimyan TRO, 2024 [Paper] [Project] [Code]
		Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video Hongchi Xia, Chih-Hao Lin, Wei-Chiu Ma, Shenlong Wang CVPR, 2024 [Paper] [Project] [Code]
		NeRF2Physics: Physical Property Understanding from Language-Embedded Feature Fields Albert J. Zhai, Yuan Shen, Emily Chen, Gloria Wang, Xinlei Wang, Sheng Wang, Kaiyu Guan, Shenlong Wang CVPR, 2024 [Paper] [Project] [Code]
		GoMAvatar: Efficient Animatable Human Modeling from Monocular VideoUsing Gaussians-on-Mesh Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alex Schwing, Shenlong Wang CVPR, 2024 [Paper] [Project] [Code]
		Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepulveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephen Richter, Shenlong Wang, German Ros 3DV, 2024 (Oral) [Paper] [Project] [Code]
		On the Overconfidence Problem in Semantic 3D Mapping Joao M C Marques, Albert J. Zhai, Shenlong Wang, Kris Hauser ICRA, 2024 [Paper] [Project] [Code]
		Sim-on-Wheels: Physical World in the Loop Simulation for Autonomous Driving Yuan Shen, Bhargav Chandaka, Chih-Hao Lin, Albert J. Zhai, Hang Cui, David Forsyth, Shenlong Wang RAL, 2023 [Paper] [Project] [Code]
		Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang NeurIPS, 2023 [Paper] [Project] [Code]
		ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field Yuan Li, Chih-Hao Lin, Jia-Bin Huang, David Forsyth, Shenlong Wang ICCV, 2023 [Paper] [Project] [Code]
		PEANUT: Predicting and Navigating to Unseen Targets Albert J. Zhai, Shenlong Wang ICCV, 2023 [Paper] [Project] [Code]
		MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models Xiyue Zhu, Vlas Zyrianov, Chihjian Liu, Shenlong Wang ICCV, 2023 [Paper] [Project] [Code]
		ContactGen: Generative Contact Modeling for Grasp Generation Shaowei Liu, Yang Zhou, Jimei Yang, Saurabh Gupta, Shenlong Wang ICCV**, 2023 [Paper] [Project] [Code]
		Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds Shaowei Liu, Saurabh Gupta, Shenlong Wang CVPR**, 2023 [Paper] [Project] [Code]
		DiffTune+: Hyperparameter-Free Auto-Tuning using Auto-Differentiation Sheng Cheng, Lin Song, Minkyung Kim, Shenlong Wang, Naira Hovakimyan L4DC, 2023 (Oral) [Paper] [Code]
		CASA: Category-agnostic Skeletal Animal Reconstruction Yuefan Wu, Zeyuan Chen, Shaowei Liu, Zhongzheng Ren, Shenlong Wang NeurIPS, 2022 [Paper] [Project] [Code]
		SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping Yuan Shen, Wei-Chiu Ma, Shenlong Wang NeurIPS, 2022 [Paper] [Project] [Code] [Video]
		Learning to Generate Realistic LiDAR Point Cloud Vlas Zyrianov, Xiyue Zhu, Shenlong Wang ECCV, 2022 [Paper] [Project] [Code] [Video]
		Virtual Correspondence Wei-Chiu Ma, Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba CVPR, 2022 [Paper] [Project] [Media] [Video]
		NeurMiPs: Neural Mixture of Planar Experts for View Synthesis Chih-Hao Lin, Wei-Chiu Ma, Yu-Chiang Frank Wang, Hao-Yu Max Hsu, Shenlong Wang CVPR, 2022 [Paper] [Project] [Code] [Video]
		Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Siva Manivasagam, Justin Liang, Shenlong Wang Raquel Urtasun WACV, 2022 [Paper] [Video]
		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 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 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 CVPR, 2021 [Paper] [Video]
		Asynchronous Multi-View SLAM Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang* ICRA, 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 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 IROS, 2020 (Best Application Paper Runner-up) [Paper] [Video] [Project] [Code & Data]
		Deep Feedback Inverse Problem Solver Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun ECCV, 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 ECCV, 2020 [Paper] [Video]
		Deep Structured self-Driving Network Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun ECCV, 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 CVPR, 2020 (Oral) [Paper]
		OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, and Raquel Urtasun CVPR, 2020 (Oral) [Paper]
		Identifying Unknown Instances for Autonomous Driving Kelvin Wong, Shenlong Wang, Mengye Ren, and Raquel Urtasun CoRL, 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 NeurIPS, 2019 [Paper] [Code]
		DSIC: Deep Stereo Image Compression Jerry Liu, Shenlong Wang, and Raquel Urtasun ICCV, 2019 (Oral) [Paper]
		DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, and Raquel Urtasun ICCV, 2019 [Paper] [Code]
		Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization Wei-Chiu Ma, Ignacio Tartavull, Ioan Andrei Bârsan, Shenlong Wang, Gellert Mattyus, Min Bai, Namdar Homayounfar, Shrinidhi K. Lakshmikanth, Andrei Pokrovsky, Raquel Urtasun IROS**, 2020 [Paper] [Video]
		Deep Rigid Instance Scene Flow Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, and Raquel Urtasun CVPR, 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 CVPR*, 2019 [Paper]
		Convolutional Recurrent Network for Road Boundary Extraction Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, and Raquel Urtasun CVPR, 2019 [Paper]
		Learning to Localize Using a LiDAR Intensity Map Ioan Andrei Barsan, Shenlong Wang, Andrei Pokrovsky, and Raquel Urtasun CORL, 2018 (Spotlight) [Paper][Video]
		Deep Multi-Sensor Lane Detection Min Bai, Gellert Mattyus,Namdar Homayounfar,Shrinidhi Kowshika Lakshmikanth, Shenlong Wang, and Raquel Urtasun IROS, 2018 [Paper]
		Deep Continuous Fusion for Multi-Sensor 3D Object Detection Ming Liang, Bin Yang, Shenlong Wang, and Raquel Urtasun ECCV, 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 CVPR, 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 ICCV, 2017 (Spotlight*) [Paper] [Update]
		AutoScaler: Scale-Attention Networks for Visual Correspondence Shenlong Wang, Linjie Luo, Ning Zhang and Jia Li BMVC, 2017 (Oral) [Paper]
		Find Your Way by Observing the Sun and Other Semantic Cues Wei-Chiu Ma, Shenlong Wang, Sanja Fidler and Raquel Urtasun ICRA, 2017 [Paper] [Video]
		Proximal Deep Structured Models Shenlong Wang, Sanja Fidler and Raquel Urtasun NeurIPS, 2016 [Paper][Supp][Code] [Data] [Update]
		HouseCraft: Building Houses from Rental Ads and Street Views Hang Chu, Shenlong Wang, Sanja Fidler and Raquel Urtasun ECCV, 2016 [Paper] [Code] [Data]
		Holoportation: Virtual 3D Teleportation in Real-time Sergio Orts-Escolano et al. UIST, 2016 (Oral) [Paper] [Video]
		The Global Patch Collider Shenlong Wang, Sean Fanello, Christoph Rhemann, Shahram Izadi and Pushmeet Kohli CVPR, 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 CVPR, 2016 [Paper] [Data][Video]
		Lost Shopping! Monocular Localization in Large Indoor Spaces Shenlong Wang, Sanja Fidler and Raquel Urtasun ICCV, 2015 (Oral) [Paper] [Data]
		Enhancing World Maps by Parsing Aerial Images Gellert Mattyus, Shenlong Wang, Sanja Fidler and Raquel Urtasun ICCV, 2015 [Paper] [Code] [Data][Video]
		Holistic 3D Scene Understanding from a Single Geo-tagged Image Shenlong Wang, Sanja Fidler and Raquel Urtasun CVPR, 2015 (Oral) [Paper] [Code]
		Efficient Inference for Contiuous Markov Random Fields with Polynomial Potentials Shenlong Wang, Alex Schwing and Raquel Urtasun NeurIPS, 2014 [Paper] [Code]
		Transductive Gaussian Process on Image Denoising Shenlong Wang, Lei Zhang and Raquel Urtasun ICCP, 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 CVPR, 2012 [Paper] [Code]
		Nonlocal Spectral Prior Model for Low-level Vision Shenlong Wang, Lei Zhang and Yan Liang ACCV, 2012 [Paper] [Bibtex]
		Relaxed Collaborative Representation for Pattern Classification Meng Yang, Lei Zhang, David Zhang and Shenlong Wang CVPR, 2012 [Paper] [Bibtex]

Services

Area Chair / Associate Editor / SPC: CVPR, ICCV, ECCV, NeurIPS, IROS, ICRA, 3DV, WACV, AAAI
Journal Reviewer: PAMI, IJCV, TOG, TRO, TMLR, TIP, TGRS, CVIU, PR, IVC, TCSVT, TASE, TNNLS
Conference Reviewer: CVPR, ECCV, ICCV, ICLR, ICML, NeurIPS, UAI, ICRA, IROS, RSS, Siggraph Asia, Siggraph
Tutorial Organizer:
- CVPR 2021 Tutorial on Visual Compression
- CVPR 2021 Tutorial on Self-Driving
- CVPR 2025 Tutorial on 3D Point Cloud
Workshop Organizer:
- ICCV 2025 Workshop on 3D Modeling, Reconstruction, and Generation in the Wild
- CVPR 2025 Workshop on Vision Meet Physics: Synergizing Physical Simulation and Computer Vision
- CVPR 2025 Workshop on Foundation Models for Embodied Agents
- ECCV 2024 Workshop on 3D Modeling, Reconstruction, and Generation in the Wild
- CVPR 2023 Workshop on End-to-end Self-Driving

Selected Honors and Awards

ISMAR Best Paper, 2025
Dean's Award for Excellence in Research, 2025
Teachers Ranked as Excellent at UIUC, 2024
NSF CAREER Award, 2024
Amazon Research Award, 2022
CVPR Best Paper Award Candidate, 2021
IROS Best Application Paper Finalist, 2020
RBC Fellowship, 2017
Facebook Fellowship (awarded, later declined), 2017
Adobe Fellowship (awarded, later declined), 2017

Teaching

Talks Show Recent Show All

Towards a Cropland World Simulator from and for the Real World
AIFARMS 2025
Building Interactive World Simulators from Videos
IROS RobotGen Workshop 2025
Towards Generalist Robots in Human-Centric Environment
XPeng America 2025
Physical Inductive Biases for Interactive Images
CVPR Workshop on Inductive Biases in Vision 2025
Point Cloud Simulation & Generation for Autonomous Driving
CVPR Workshop on Point Cloud 2025
Spatial and Generative AI for Immersive Experiences
IMMERSE Symposium 2025
Interactive Images and Videos
Stanford; UPenn; NUS; 3DV; Midwest Vision Workshop 2025
Digitizing and Simulating the 3D Physical World for Autonomy
AVIATE Seminar 2024
Visual Recreative Minds
University of Michigan; ECCV Workshop on CV4Metaverse 2024
Toward Digitalizing and Simulating the Physical World
Tsinghua University; Peking University; Nanjing University; Hong Kong University; Chinese University of Hong Kong; NVidia; Waabi 2024
Integrating Spatial Perception into Conversational AI for Real-World Tasks
AICE Symposium 2024
Visual Recreation with Data and Physics
GAMES 2024
Learning to Simulate from Reality and for Reality
UIUC 2024
Visual Imagination in the 3D Physical World
University of Maryland; CVPR Workshop on 3D Scene Understanding; China 3DV 2023
Modeling and Generating Digital Twins
Midwest Machine Learning Workshop; Nvidia; Autodesk 2023
Towards Realistic and Scalable Simulation for Autonomy
CVPR; UIUC 2021
Safely Train and Test Autonomous Vehicles with Mixed Reality
Amazon; Kent Seminars 2023
Neural Compression for Geometric Data
CVPR 2021
Learning 3D Representations for Self-Driving
UofT; NVIDIA; UIUC 2020
Learning to Drive with a Touch of Human Knowledge
UIUC; CMU; Cornell; GaTech; Maryland; UMass; UNC; SFU; Waterloo; UMN 2020
Towards More Robust and Data-Efficient Robotics in the Wild
Intel; NVIDIA 2019
Deep Geometric Scene Understanding for Self-Driving Cars
CREATE Summer School 2019
Deep Parameteric Continuous Conv
CVPR 2018
TorontoCity
ICCV; Endless Summer School 2017
The Global Patch Collider
CVPR; UofT 2016
3D Scene Understanding with Knowledge about the World
VALSE Webinar; YorkU 2016
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
NCAP; UofT 2014