Nonlocal Spectral Prior Model for Low-Level Vision. - Shenlong Wang; Lei Zhang 006; Yan Liang 001 (ACCV (3), 2012)

Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis. - Shenlong Wang; Lei Zhang 006; Yan Liang 001; Quan Pan 001 (CVPR, 2012)

Relaxed collaborative representation for pattern classification. - Meng Yang 001; Lei Zhang 006; David Zhang 001; Shenlong Wang (CVPR, 2012)

Transductive Gaussian processes for image denoising. - Shenlong Wang; Lei Zhang 006; Raquel Urtasun (ICCP, 2014)

Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials. - Shenlong Wang; Alexander G. Schwing; Raquel Urtasun (NIPS, 2014)

Holistic 3D scene understanding from a single geo-tagged image. - Shenlong Wang; Sanja Fidler; Raquel Urtasun (CVPR, 2015)

Enhancing Road Maps by Parsing Aerial Images Around the World. - Gellért Máttyus; Shenlong Wang; Sanja Fidler; Raquel Urtasun (ICCV, 2015)

Lost Shopping! Monocular Localization in Large Indoor Spaces. - Shenlong Wang; Sanja Fidler; Raquel Urtasun (ICCV, 2015)

HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images. - Gellért Máttyus; Shenlong Wang; Sanja Fidler; Raquel Urtasun (CVPR, 2016)

The Global Patch Collider. - Shenlong Wang; Sean Ryan Fanello; Christoph Rhemann; Shahram Izadi; Pushmeet Kohli (CVPR, 2016)

HouseCraft: Building Houses from Rental Ads and Street Views. - Hang Chu; Shenlong Wang; Raquel Urtasun; Sanja Fidler (ECCV (6), 2016)

Proximal Deep Structured Models. - Shenlong Wang; Sanja Fidler; Raquel Urtasun (NIPS, 2016)

Holoportation: Virtual 3D Teleportation in Real-time. - Sergio Orts-Escolano; Christoph Rhemann; Sean Ryan Fanello; Wayne Chang; Adarsh Kowdle; Yury Degtyarev; David Kim; Philip Davidson; Sameh Khamis; Mingsong Dou; Vladimir Tankovich; Charles T. Loop; et al. (UIST, 2016)

AutoScaler: Scale-Attention Networks for Visual Correspondence. - Shenlong Wang; Linjie Luo; Ning Zhang; Jia Li (BMVC, 2017)

TorontoCity: Seeing the World with a Million Eyes. - Shenlong Wang; Min Bai; Gellért Máttyus; Hang Chu; Wenjie Luo 002; Bin Yang 021; Justin Liang 001; Joel Cheverie; Sanja Fidler; Raquel Urtasun (ICCV, 2017)

Find your way by observing the sun and other semantic cues. - Wei-Chiu Ma; Shenlong Wang; Marcus A. Brubaker; Sanja Fidler; Raquel Urtasun (ICRA, 2017)

Monocular Depth Estimation via Deep Structured Models with Ordinal Constraints. - Daniel Ron; Kun Duan; Chongyang Ma; Ning Xu; Shenlong Wang; Sumant Hanumante; Dhritiman Sagar (3DV, 2018)

Learning to Localize Using a LiDAR Intensity Map. - Ioan Andrei Barsan; Shenlong Wang; Andrei Pokrovsky; Raquel Urtasun (CoRL, 2018)

Deep Parametric Continuous Convolutional Neural Networks. - Shenlong Wang; Simon Suo; Wei-Chiu Ma; Andrei Pokrovsky; Raquel Urtasun (CVPR, 2018)

Deep Continuous Fusion for Multi-sensor 3D Object Detection. - Ming Liang; Bin Yang 021; Shenlong Wang; Raquel Urtasun (ECCV (16), 2018)

Deep Multi-Sensor Lane Detection. - Min Bai; Gellért Máttyus; Namdar Homayounfar; Shenlong Wang; Shrinidhi Kowshika Lakshmikanth; Raquel Urtasun (IROS, 2018)

Identifying Unknown Instances for Autonomous Driving. - Kelvin Wong; Shenlong Wang; Mengye Ren; Ming Liang; Raquel Urtasun (CoRL, 2019)

Convolutional Recurrent Network for Road Boundary Extraction. - Justin Liang 001; Namdar Homayounfar; Wei-Chiu Ma; Shenlong Wang; Raquel Urtasun (CVPR, 2019)

Deep Rigid Instance Scene Flow. - Wei-Chiu Ma; Shenlong Wang; Rui Hu 001; Yuwen Xiong; Raquel Urtasun (CVPR, 2019)

Learning to Localize Through Compressed Binary Maps. - Xinkai Wei; Ioan Andrei Barsan; Shenlong Wang; Julieta Martinez 001; Raquel Urtasun (CVPR, 2019)

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch. - Shivam Duggal; Shenlong Wang; Wei-Chiu Ma; Rui Hu 001; Raquel Urtasun (ICCV, 2019)

DSIC: Deep Stereo Image Compression. - Jerry Liu; Shenlong Wang; Raquel Urtasun (ICCV, 2019)

Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization. - Wei-Chiu Ma; Raquel Urtasun; Ignacio Tartavull; Ioan Andrei Bârsan; Shenlong Wang; Min Bai; Gellért Máttyus; Namdar Homayounfar; Shrinidhi Kowshika Lakshmikanth; Andrei Pokrovsky (IROS, 2019)

Efficient Graph Generation with Graph Recurrent Attention Networks. - Renjie Liao; Yujia Li 001; Yang Song 011; Shenlong Wang; William L. Hamilton; David Duvenaud; Raquel Urtasun; Richard S. Zemel (NeurIPS, 2019)

Efficient Graph Generation with Graph Recurrent Attention Networks. - Renjie Liao; Yujia Li 001; Yang Song 011; Shenlong Wang; Charlie Nash; William L. Hamilton; David Duvenaud; Raquel Urtasun; Richard S. Zemel (CoRR, 2019)

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. - Lila Huang; Shenlong Wang; Kelvin Wong; Jerry Liu; Raquel Urtasun (CVPR, 2020)

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. - Sivabalan Manivasagam; Shenlong Wang; Kelvin Wong; Wenyuan Zeng; Mikita Sazanovich; Shuhan Tan; Bin Yang 021; Wei-Chiu Ma; Raquel Urtasun (CVPR, 2020)

Conditional Entropy Coding for Efficient Video Compression. - Jerry Liu; Shenlong Wang; Wei-Chiu Ma; Meet Shah 001; Rui Hu 001; Pranaab Dhawan; Raquel Urtasun (ECCV (17), 2020)

Deep Feedback Inverse Problem Solver. - Wei-Chiu Ma; Shenlong Wang; Jiayuan Gu; Sivabalan Manivasagam; Antonio Torralba 001; Raquel Urtasun (ECCV (5), 2020)

DSDNet: Deep Structured Self-driving Network. - Wenyuan Zeng; Shenlong Wang; Renjie Liao; Yun Chen 014; Bin Yang 021; Raquel Urtasun (ECCV (21), 2020)

Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars. - Julieta Martinez 001; Sasha Doubov; Jack Fan; Ioan Andrei Bârsan; Shenlong Wang; Gellért Máttyus; Raquel Urtasun (IROS, 2020)

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models. - Sourav Biswas 001; Jerry Liu; Kelvin Wong; Shenlong Wang; Raquel Urtasun (NeurIPS, 2020)

GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving. - Yun Chen 014; Frieda Rong; Shivam Duggal; Shenlong Wang; Xinchen Yan; Sivabalan Manivasagam; Shangjie Xue; Ersin Yumer; Raquel Urtasun (CVPR, 2021)

SceneGen: Learning To Generate Realistic Traffic Scenes. - Shuhan Tan; Kelvin Wong; Shenlong Wang; Sivabalan Manivasagam; Mengye Ren; Raquel Urtasun (CVPR, 2021)

S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. - Ze Yang 003; Shenlong Wang; Sivabalan Manivasagam; Zeng Huang; Wei-Chiu Ma; Xinchen Yan; Ersin Yumer; Raquel Urtasun (CVPR, 2021)

Asynchronous Multi-View SLAM. - Anqi Joyce Yang; Can Cui; Ioan Andrei Bârsan; Raquel Urtasun; Shenlong Wang (ICRA, 2021)

Deep Learning for Visual Data Compression. - Guo Lu; Ren Yang; Shenlong Wang; Shan Liu 001; Radu Timofte (ACM Multimedia, 2021)

Sensitivity analysis and stationary probability distributions of a stochastic two-prey one-predator model. - Shenlong Wang; Zhicheng Wang; Chenyun Xu; Guyue Jiao (Appl. Math. Lett., 2021)

GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition. - Yun Chen 014; Frieda Rong; Shivam Duggal; Shenlong Wang; Xinchen Yan; Sivabalan Manivasagam; Shangjie Xue; Ersin Yumer; Raquel Urtasun (CoRR, 2021)

Secrets of 3D Implicit Object Shape Reconstruction in the Wild. - Shivam Duggal; Zihao Wang; Wei-Chiu Ma; Sivabalan Manivasagam; Justin Liang 001; Shenlong Wang; Raquel Urtasun (CoRR, 2021)

Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving. - Min Bai; Shenlong Wang; Kelvin Wong; Ersin Yumer; Raquel Urtasun (CoRR, 2021)

Deep Structured Models for Spatial Intelligence. - Shenlong Wang (2021)

Deep-Learning Enabled Assessment of Neurocognitive Performance in Object Following in Mixed Reality. - Ansh Sharma; Keerthana Nallamotu; Mukhilshankar Umashankar; Shenlong Wang; Inki Kim (CHASE, 2022)

NeurMiPs: Neural Mixture of Planar Experts for View Synthesis. - Zhi-Hao Lin; Wei-Chiu Ma; Hao-Yu Hsu; Yu-Chiang Frank Wang; Shenlong Wang (CVPR, 2022)

Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. - Wei-Chiu Ma; Anqi Joyce Yang; Shenlong Wang; Raquel Urtasun; Antonio Torralba 001 (CVPR, 2022)

Learning to Generate Realistic LiDAR Point Clouds. - Vlas Zyrianov; Xiyue Zhu; Shenlong Wang (ECCV (23), 2022)

SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping. - Yuan Shen; Wei-Chiu Ma; Shenlong Wang (NeurIPS, 2022)

CASA: Category-agnostic Skeletal Animal Reconstruction. - Yuefan Wu; Zeyuan Chen; Shaowei Liu; Zhongzheng Ren; Shenlong Wang (NeurIPS, 2022)

Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild. - Shivam Duggal; Zihao Wang; Wei-Chiu Ma; Sivabalan Manivasagam; Justin Liang 001; Shenlong Wang; Raquel Urtasun (WACV, 2022)

DiffTune: Auto-Tuning through Auto-Differentiation. - Sheng Cheng 001; Minkyung Kim 011; Lin Song 001; Zhuohuan Wu; Shenlong Wang; Naira Hovakimyan (CoRR, 2022)

ClimateNeRF: Physically-based Neural Rendering for Extreme Climate Synthesis. - Yuan Li; Zhi-Hao Lin; David A. Forsyth; Jia-Bin Huang 001; Shenlong Wang (CoRR, 2022)

QFF: Quantized Fourier Features for Neural Field Representations. - Jae Yong Lee 006; Yuqun Wu; Chuhang Zou; Shenlong Wang; Derek Hoiem (CoRR, 2022)

Intracity Temperature Estimation by Physics Informed Neural Network Using Modeled Forcing Meteorology and Multispectral Satellite Imagery. - Donghang Wu; Weiquan Liu; Bowen Fang; Linwei Chen; Yu Zang; Lei Zhao; Shenlong Wang; Cheng Wang 003; José Marcato Junior; Jonathan Li 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds. - Shaowei Liu; Saurabh Gupta 001; Shenlong Wang (CVPR, 2023)

ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field. - Yuan Li; Zhi-Hao Lin; David A. Forsyth; Jia-Bin Huang 001; Shenlong Wang (ICCV, 2023)

ContactGen: Generative Contact Modeling for Grasp Generation. - Shaowei Liu; Yang Zhou; Jimei Yang; Saurabh Gupta 001; Shenlong Wang (ICCV, 2023)

PEANUT: Predicting and Navigating to Unseen Targets. - Albert J. Zhai; Shenlong Wang (ICCV, 2023)

MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models. - Xiyue Zhu; Vlas Zyrianov; Zhijian Liu; Shenlong Wang (ICCV, 2023)

DiffTune+: Hyperparameter-Free Auto-Tuning using Auto-Differentiation. - Sheng Cheng 001; Lin Song 001; Minkyung Kim 011; Shenlong Wang; Naira Hovakimyan (L4DC, 2023)

Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects. - Tianhang Cheng; Wei-Chiu Ma; Kaiyu Guan; Antonio Torralba 001; Shenlong Wang (NeurIPS, 2023)

ADAPTIVEFUSION: Low Power Scene Reconstruction. - Muhammad Huzaifa; Boyuan Tian; Yihan Pang; Henry Che; Shenlong Wang; Sarita V. Adve (VR Workshops, 2023)

UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video. - Zhi-Hao Lin; Bohan Liu; Yi-Ting Chen; David A. Forsyth; Jia-Bin Huang 001; Anand Bhattad; Shenlong Wang (CoRR, 2023)

Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving. - Yuan Shen; Bhargav Chandaka; Zhi-Hao Lin; Albert J. Zhai; Hang Cui 003; David A. Forsyth; Shenlong Wang (IEEE Robotics Autom. Lett., 2023)

Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting. - Benjamin Ummenhofer; Sanskar Agrawal; Rene Sepúlveda; Yixing Lao; Kai Zhang; Tianhang Cheng; Stephan R. Richter; Shenlong Wang; Germán Ros (3DV, 2024)

RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation. - Hanxiao Jiang 001; Binghao Huang; Ruihai Wu; Zhuoran Li; Shubham Garg; Hooshang Nayyeri; Shenlong Wang; Yunzhu Li (CoRL, 2024)

GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh. - Jing Wen; Xiaoming Zhao 001; Zhongzheng Ren; Alexander G. Schwing; Shenlong Wang (CVPR, 2024)

Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video. - Hongchi Xia; Zhi-Hao Lin; Wei-Chiu Ma; Shenlong Wang (CVPR, 2024)

Physical Property Understanding from Language-Embedded Feature Fields. - Albert J. Zhai; Yuan Shen; Emily Y. Chen; Gloria X. Wang; Xinlei Wang; Sheng Wang; Kaiyu Guan; Shenlong Wang (CVPR, 2024)

PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation. - Shaowei Liu; Zhongzheng Ren; Saurabh Gupta 001; Shenlong Wang (ECCV (82), 2024)

SUPERGAUSSIAN: Repurposing Video Models for 3D Super Resolution. - Yuan Shen; Duygu Ceylan; Paul Guerrero 001; Zexiang Xu; Niloy J. Mitra; Shenlong Wang; Anna Frühstück (ECCV (29), 2024)

On the Overconfidence Problem in Semantic 3D Mapping. - João Marcos Correia Marques; Albert J. Zhai; Shenlong Wang; Kris Hauser (ICRA, 2024)

Towards Energy-Efficiency by Navigating the Trilemma of Energy, Latency, and Accuracy. - Boyuan Tian; Yihan Pang; Muhammad Huzaifa; Shenlong Wang; Sarita V. Adve (ISMAR, 2024)

IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images. - Zhi-Hao Lin; Jia-Bin Huang 001; Zhengqin Li; Zhao Dong 001; Christian Richardt; Tuotuo Li; Michael Zollhöfer; Johannes Kopf 001; Shenlong Wang; Changil Kim 001 (CoRR, 2024)

LidarDM: Generative LiDAR Simulation in a Generated World. - Vlas Zyrianov; Henry Che; Zhijian Liu; Shenlong Wang (CoRR, 2024)

EarthGen: Generating the World from Top-Down Views. - Ansh Sharma; Albert Xiao; Praneet Rathi; Rohit Kundu; Albert J. Zhai; Yuan Shen; Shenlong Wang (CoRR, 2024)

AutoVFX: Physically Realistic Video Editing from Natural Language Instructions. - Hao-Yu Hsu; Zhi-Hao Lin; Albert J. Zhai; Hongchi Xia; Shenlong Wang (CoRR, 2024)

CropCraft: Inverse Procedural Modeling for 3D Reconstruction of Crop Plants. - Albert J. Zhai; Xinlei Wang; Kaiyuan Li; Zhao Jiang; Junxiong Zhou; Sheng Wang; Zhenong Jin; Kaiyu Guan; Shenlong Wang (CoRR, 2024)

Task-Parameter Nexus: Task-Specific Parameter Learning for Model-Based Control. - Sheng Cheng 001; Ran Tao; Yuliang Gu; Shenlong Wang; Xiaofeng Wang 007; Naira Hovakimyan (CoRR, 2024)

DiffTune: Autotuning Through Autodifferentiation. - Sheng Cheng 001; Minkyung Kim 011; Lin Song 001; Chengyu Yang; Yiquan Jin; Shenlong Wang; Naira Hovakimyan (IEEE Trans. Robotics, 2024)

DiffTune-MPC: Closed-Loop Learning for Model Predictive Control. - Ran Tao; Sheng Cheng 001; Xiaofeng Wang 007; Shenlong Wang; Naira Hovakimyan (IEEE Robotics Autom. Lett., 2024)

AutoVFX: Physically Realistic Video Editing from Natural Language Instructions. - Hao-Yu Hsu; Chih-Hao Lin; Albert J. Zhai; Hongchi Xia; Shenlong Wang (3DV, 2025)

Plenoptic PNG: Real-Time Neural Radiance Fields in 150 KB. - Jae Yong Lee 006; Yuqun Wu; Chuhang Zou; Derek Hoiem; Shenlong Wang (3DV, 2025)

UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video. - Chih-Hao Lin; Bohan Liu; Yi-Ting Chen; Kuan-Sheng Chen; David A. Forsyth; Jia-Bin Huang; Anand Bhattad; Shenlong Wang (3DV, 2025)

MonoPatchNeRF: Improving Neural Radiance Fields with Patch-Based Monocular Guidance. - Yuqun Wu; Jae Yong Lee 006; Chuhang Zou; Shenlong Wang; Derek Hoiem (3DV, 2025)

PhysGen3D: Crafting a Miniature Interactive World from a Single Image. - Boyuan Chen; Hanxiao Jiang 001; Shaowei Liu; Saurabh Gupta; Yunzhu Li; Hao Zhao; Shenlong Wang (CVPR, 2025)

IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images. - Chih-Hao Lin; Jia-Bin Huang; Zhengqin Li; Zhao Dong 001; Christian Richardt; Tuotuo Li; Michael Zollhöfer; Johannes Kopf 001; Shenlong Wang; Changil Kim 001 (CVPR, 2025)

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 004; Shenlong Wang; Wei-Chiu Ma (CVPR, 2025)

Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single Video. - David Yifan Yao; Albert J. Zhai; Shenlong Wang (CVPR, 2025)

VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction. - Ziyue Zhu; Shenlong Wang; Jin Xie 001; Jiang-jiang Liu; Jingdong Wang 001; Jian Yang 003 (CVPR, 2025)

LIFe-GoM: Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh. - Jing Wen; Alexander G. Schwing; Shenlong Wang (ICLR, 2025)

Plasticized electrohydraulic robot autopilots in the deep sea. - Guorui Li; Peng Shen; Tuck-Whye Wong; Mingyu Liu; Zhenxiang Sun; Xinyu Liu; Yongzai Chen; Xianghan Wang; Hao Zhang; Bingxu Hu; Deli Chen; Zhihan Zhang; et al. (Sci. Robotics, 2025)

Map Space Belief Prediction for Manipulation-Enhanced Mapping. - João Marcos Correia Marques; Nils Dengler; Tobias Zaenker; Jesper Mücke; Shenlong Wang; Maren Bennewitz; Kris Hauser (CoRR, 2025)

GigaSLAM: Large-Scale Monocular SLAM with Hierachical Gaussian Splats. - Kai Deng; Jian Yang 003; Shenlong Wang; Jin Xie 001 (CoRR, 2025)

PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos. - Hanxiao Jiang 001; Hao-Yu Hsu; Kaifeng Zhang; Hsin-Ni Yu; Shenlong Wang; Yunzhu Li (CoRR, 2025)

Controllable Weather Synthesis and Removal with Video Diffusion Models. - Chih-Hao Lin; Zian Wang; Ruofan Liang; Yuxuan Zhang 001; Sanja Fidler; Shenlong Wang; Zan Gojcic (CoRR, 2025)

AD-GS: Object-Aware B-Spline Gaussian Splatting for Self-Supervised Autonomous Driving. - Jiawei Xu; Kai Deng; Zexin Fan; Shenlong Wang; Jin Xie 001; Jian Yang 003 (CoRR, 2025)

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 A. Forsyth; Hao Zhao; Shenlong Wang (CoRR, 2025)