Shenlong Wang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 111

Top Venues

Publications

Yuan Shen, Duygu Ceylan, Paul Guerrero, Zexiang Xu, Niloy J. Mitra, Shenlong Wang, Anna Frühstück
SuperGaussian: Repurposing Video Models for 3D Super Resolution. CoRR (2024)
Albert J. Zhai, Yuan Shen, Emily Y. Chen, Gloria X. Wang, Xinlei Wang, Sheng Wang, Kaiyu Guan, Shenlong Wang
Physical Property Understanding from Language-Embedded Feature Fields. CoRR (2024)
Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepúlveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan Richter, Shenlong Wang, Germán Ros
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting. CoRR (2024)
Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh. CoRR (2024)
Zhi-Hao Lin, Jia-Bin Huang, Zhengqin Li, Zhao Dong, Christian Richardt, Tuotuo Li, Michael Zollhöfer, Johannes Kopf, Shenlong Wang, Changil Kim
IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images. CoRR (2024)
Hongchi Xia, Zhi-Hao Lin, Wei-Chiu Ma, Shenlong Wang
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video. CoRR (2024)
Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepúlveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan R. Richter, Shenlong Wang, Germán Ros
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting. 3DV (2024)
João Marcos Correia Marques, Albert J. Zhai, Shenlong Wang, Kris Hauser
On the Overconfidence Problem in Semantic 3D Mapping. ICRA (2024)
Hanxiao Jiang, Binghao Huang, Ruihai Wu, Zhuoran Li, Shubham Garg, Hooshang Nayyeri, Shenlong Wang, Yunzhu Li
RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation. CoRR (2024)
Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang
Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects. CoRR (2024)
Vlas Zyrianov, Henry Che, Zhijian Liu, Shenlong Wang
LidarDM: Generative LiDAR Simulation in a Generated World. CoRR (2024)
Yuqun Wu, Jae Yong Lee, Chuhang Zou, Shenlong Wang, Derek Hoiem
MonoPatchNeRF: Improving Neural Radiance Fields with Patch-based Monocular Guidance. CoRR (2024)
Ran Tao, Sheng Cheng, Xiaofeng Wang, Shenlong Wang, Naira Hovakimyan
DiffTune-MPC: Closed-Loop Learning for Model Predictive Control. IEEE Robotics Autom. Lett. 9 (8) (2024)
Yuan Li, Zhi-Hao Lin, David A. Forsyth, Jia-Bin Huang, Shenlong Wang
ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field. ICCV (2023)
Shaowei Liu, Saurabh Gupta, Shenlong Wang
Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds. CVPR (2023)
Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang
Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects. NeurIPS (2023)
Shaowei Liu, Saurabh Gupta, Shenlong Wang
Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds. CoRR (2023)
Shaowei Liu, Yang Zhou, Jimei Yang, Saurabh Gupta, Shenlong Wang
ContactGen: Generative Contact Modeling for Grasp Generation. CoRR (2023)
Shaowei Liu, Yang Zhou, Jimei Yang, Saurabh Gupta, Shenlong Wang
ContactGen: Generative Contact Modeling for Grasp Generation. ICCV (2023)
Zhi-Hao Lin, Bohan Liu, Yi-Ting Chen, David A. Forsyth, Jia-Bin Huang, Anand Bhattad, Shenlong Wang
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video. CoRR (2023)
Yuan Shen, Bhargav Chandaka, Zhi-Hao Lin, Albert J. Zhai, Hang Cui, David A. Forsyth, Shenlong Wang
Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving. CoRR (2023)
Muhammad Huzaifa, Boyuan Tian, Yihan Pang, Henry Che, Shenlong Wang, Sarita V. Adve
ADAPTIVEFUSION: Low Power Scene Reconstruction. VRW (2023)
Xiyue Zhu, Vlas Zyrianov, Zhijian Liu, Shenlong Wang
MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models. ICCV (2023)
Yuan Shen, Bhargav Chandaka, Zhi-Hao Lin, Albert J. Zhai, Hang Cui, David A. Forsyth, Shenlong Wang
Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving. IEEE Robotics Autom. Lett. 8 (12) (2023)
Sheng Cheng, Lin Song, Minkyung Kim, Shenlong Wang, Naira Hovakimyan
: Hyperparameter-Free Auto-Tuning using Auto-Differentiation. L4DC (2023)
Ran Tao, Sheng Cheng, Xiaofeng Wang, Shenlong Wang, Naira Hovakimyan
DiffTune-MPC: Closed-Loop Learning for Model Predictive Control. CoRR (2023)
Albert J. Zhai, Shenlong Wang
PEANUT: Predicting and Navigating to Unseen Targets. ICCV (2023)
Xiyue Zhu, Vlas Zyrianov, Zhijian Liu, Shenlong Wang
MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models. CoRR (2023)
João Marcos Correia Marques, Albert J. Zhai, Shenlong Wang, Kris Hauser
On the Overconfidence Problem in Semantic 3D Mapping. CoRR (2023)
Yuan Li, Zhi-Hao Lin, David Forsyth, Jia-Bin Huang, Shenlong Wang
ClimateNeRF: Physically-based Neural Rendering for Extreme Climate Synthesis. CoRR (2022)
Vlas Zyrianov, Xiyue Zhu, Shenlong Wang
Learning to Generate Realistic LiDAR Point Clouds. ECCV (23) (2022)
Albert J. Zhai, Shenlong Wang
PEANUT: Predicting and Navigating to Unseen Targets. CoRR (2022)
Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CVPR (2022)
Jae Yong Lee, Yuqun Wu, Chuhang Zou, Shenlong Wang, Derek Hoiem
QFF: Quantized Fourier Features for Neural Field Representations. CoRR (2022)
Yuefan Wu, Zeyuan Chen, Shaowei Liu, Zhongzheng Ren, Shenlong Wang
CASA: Category-agnostic Skeletal Animal Reconstruction. NeurIPS (2022)
Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun
Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild. WACV (2022)
Zhi-Hao Lin, Wei-Chiu Ma, Hao-Yu Hsu, Yu-Chiang Frank Wang, Shenlong Wang
NeurMiPs: Neural Mixture of Planar Experts for View Synthesis. CVPR (2022)
Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CoRR (2022)
Donghang Wu, Weiquan Liu, Bowen Fang, Linwei Chen, Yu Zang, Lei Zhao, Shenlong Wang, Cheng Wang, José Marcato Junior, Jonathan Li
Intracity Temperature Estimation by Physics Informed Neural Network Using Modeled Forcing Meteorology and Multispectral Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Zhi-Hao Lin, Wei-Chiu Ma, Hao-Yu Hsu, Yu-Chiang Frank Wang, Shenlong Wang
NeurMiPs: Neural Mixture of Planar Experts for View Synthesis. CoRR (2022)
Sheng Cheng, Lin Song, Minkyung Kim, Shenlong Wang, Naira Hovakimyan
DiffTune$^+$: Hyperparameter-Free Auto-Tuning using Auto-Differentiation. CoRR (2022)
Ansh Sharma, Keerthana Nallamotu, Mukhilshankar Umashankar, Shenlong Wang, Inki Kim
Deep-Learning Enabled Assessment of Neurocognitive Performance in Object Following in Mixed Reality. CHASE (2022)
Sheng Cheng, Minkyung Kim, Lin Song, Zhuohuan Wu, Shenlong Wang, Naira Hovakimyan
DiffTune: Auto-Tuning through Auto-Differentiation. CoRR (2022)
Yuan Shen, Wei-Chiu Ma, Shenlong Wang
SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping. NeurIPS (2022)
Vlas Zyrianov, Xiyue Zhu, Shenlong Wang
Learning to Generate Realistic LiDAR Point Clouds. CoRR (2022)
Yuefan Wu, Zeyuan Chen, Shaowei Liu, Zhongzheng Ren, Shenlong Wang
CASA: Category-agnostic Skeletal Animal Reconstruction. CoRR (2022)
Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun
GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving. CVPR (2021)
Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. CVPR (2021)
Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun
Deep Parametric Continuous Convolutional Neural Networks. CoRR (2021)
Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun
Secrets of 3D Implicit Object Shape Reconstruction in the Wild. CoRR (2021)
Anqi Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang
Asynchronous Multi-View SLAM. ICRA (2021)
Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun
GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition. CoRR (2021)
Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
SceneGen: Learning To Generate Realistic Traffic Scenes. CVPR (2021)
Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun
Deep Feedback Inverse Problem Solver. CoRR (2021)
Min Bai, Shenlong Wang, Kelvin Wong, Ersin Yumer, Raquel Urtasun
Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving. CoRR (2021)
Shenlong Wang, Zhicheng Wang, Chenyun Xu, Guyue Jiao
Sensitivity analysis and stationary probability distributions of a stochastic two-prey one-predator model. Appl. Math. Lett. 116 (2021)
Guo Lu, Ren Yang, Shenlong Wang, Shan Liu, Radu Timofte
Deep Learning for Visual Data Compression. ACM Multimedia (2021)
Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. CoRR (2021)
Anqi Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang
Asynchronous Multi-View SLAM. CoRR (2021)
Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
SceneGen: Learning to Generate Realistic Traffic Scenes. CoRR (2021)
Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models. CoRR (2020)
Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models. NeurIPS (2020)
Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun
Deep Feedback Inverse Problem Solver. ECCV (5) (2020)
Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. CVPR (2020)
Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun
DSDNet: Deep Structured Self-driving Network. ECCV (21) (2020)
Julieta Martinez, Sasha Doubov, Jack Fan, Ioan Andrei Bârsan, Shenlong Wang, Gellért Máttyus, Raquel Urtasun
Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars. CoRR (2020)
Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. CoRR (2020)
Xinkai Wei, Ioan Andrei Bârsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun
Learning to Localize Through Compressed Binary Maps. CoRR (2020)
Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun
Conditional Entropy Coding for Efficient Video Compression. CoRR (2020)
Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun
DSDNet: Deep Structured self-Driving Network. CoRR (2020)
Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun
Convolutional Recurrent Network for Road Boundary Extraction. CoRR (2020)
Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun
Conditional Entropy Coding for Efficient Video Compression. ECCV (17) (2020)
Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. CVPR (2020)
Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun
Deep Continuous Fusion for Multi-Sensor 3D Object Detection. CoRR (2020)
Julieta Martinez, Sasha Doubov, Jack Fan, Ioan Andrei Bârsan, Shenlong Wang, Gellért Máttyus, Raquel Urtasun
Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars. IROS (2020)
Ioan Andrei Bârsan, Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun
Learning to Localize Using a LiDAR Intensity Map. CoRR (2020)
Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. CoRR (2020)
Jerry Liu, Shenlong Wang, Raquel Urtasun
DSIC: Deep Stereo Image Compression. CoRR (2019)
Wei-Chiu Ma, Raquel Urtasun, Ignacio Tartavull, Ioan Andrei Bârsan, Shenlong Wang, Min Bai, Gellért Máttyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky
Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization. IROS (2019)
Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, Raquel Urtasun
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch. CoRR (2019)
Wei-Chiu Ma, Ignacio Tartavull, Ioan Andrei Bârsan, Shenlong Wang, Min Bai, Gellért Máttyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky, Raquel Urtasun
Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization. CoRR (2019)
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel
Efficient Graph Generation with Graph Recurrent Attention Networks. CoRR (2019)
Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun
Identifying Unknown Instances for Autonomous Driving. CoRL (2019)
Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun
Deep Rigid Instance Scene Flow. CoRR (2019)
Min Bai, Gellért Máttyus, Namdar Homayounfar, Shenlong Wang, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun
Deep Multi-Sensor Lane Detection. CoRR (2019)
Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun
Deep Rigid Instance Scene Flow. CVPR (2019)
Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, Raquel Urtasun
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch. ICCV (2019)
Xinkai Wei, Ioan Andrei Barsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun
Learning to Localize Through Compressed Binary Maps. CVPR (2019)
Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun
Convolutional Recurrent Network for Road Boundary Extraction. CVPR (2019)
Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun
Identifying Unknown Instances for Autonomous Driving. CoRR (2019)
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel
Efficient Graph Generation with Graph Recurrent Attention Networks. NeurIPS (2019)
Jerry Liu, Shenlong Wang, Raquel Urtasun
DSIC: Deep Stereo Image Compression. ICCV (2019)
Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun
Deep Parametric Continuous Convolutional Neural Networks. CVPR (2018)
Daniel Ron, Kun Duan, Chongyang Ma, Ning Xu, Shenlong Wang, Sumant Hanumante, Dhritiman Sagar
Monocular Depth Estimation via Deep Structured Models with Ordinal Constraints. 3DV (2018)
Min Bai, Gellért Máttyus, Namdar Homayounfar, Shenlong Wang, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun
Deep Multi-Sensor Lane Detection. IROS (2018)
Ioan Andrei Barsan, Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun
Learning to Localize Using a LiDAR Intensity Map. CoRL (2018)
Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun
Deep Continuous Fusion for Multi-sensor 3D Object Detection. ECCV (16) (2018)
Shenlong Wang, Linjie Luo, Ning Zhang, Jia Li
AutoScaler: Scale-Attention Networks for Visual Correspondence. BMVC (2017)
Shenlong Wang, Min Bai, Gellért Máttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun
TorontoCity: Seeing the World with a Million Eyes. ICCV (2017)
Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker, Sanja Fidler, Raquel Urtasun
Find your way by observing the sun and other semantic cues. ICRA (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shenlong Wang