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Shenlong Wang
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2020 – today
- 2024
- [j5]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): 7294-7301 (2024) - [j4]Sheng Cheng, Minkyung Kim, Lin Song, Chengyu Yang, Yiquan Jin, Shenlong Wang, Naira Hovakimyan:
DiffTune: Autotuning Through Autodifferentiation. IEEE Trans. Robotics 40: 4085-4101 (2024) - [c63]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: 137-147 - [c62]Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang:
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh. CVPR 2024: 2059-2069 - [c61]Hongchi Xia, Zhi-Hao Lin, Wei-Chiu Ma, Shenlong Wang:
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video. CVPR 2024: 4578-4588 - [c60]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. CVPR 2024: 28296-28305 - [c59]Yuan Shen, Duygu Ceylan, Paul Guerrero, Zexiang Xu, Niloy J. Mitra, Shenlong Wang, Anna Frühstück:
SUPERGAUSSIAN: Repurposing Video Models for 3D Super Resolution. ECCV (29) 2024: 215-233 - [c58]Shaowei Liu, Zhongzheng Ren, Saurabh Gupta, Shenlong Wang:
PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation. ECCV (82) 2024: 360-378 - [c57]João Marcos Correia Marques, Albert J. Zhai, Shenlong Wang, Kris Hauser:
On the Overconfidence Problem in Semantic 3D Mapping. ICRA 2024: 11095-11102 - [i58]Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang:
Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects. CoRR abs/2401.05236 (2024) - [i57]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. CoRR abs/2401.09126 (2024) - [i56]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 abs/2401.12977 (2024) - [i55]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 abs/2402.15487 (2024) - [i54]Vlas Zyrianov, Henry Che, Zhijian Liu, Shenlong Wang:
LidarDM: Generative LiDAR Simulation in a Generated World. CoRR abs/2404.02903 (2024) - [i53]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 abs/2404.04242 (2024) - [i52]Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang:
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh. CoRR abs/2404.07991 (2024) - [i51]Yuqun Wu, Jae Yong Lee, Chuhang Zou, Shenlong Wang, Derek Hoiem:
MonoPatchNeRF: Improving Neural Radiance Fields with Patch-based Monocular Guidance. CoRR abs/2404.08252 (2024) - [i50]Hongchi Xia, Zhi-Hao Lin, Wei-Chiu Ma, Shenlong Wang:
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video. CoRR abs/2404.09833 (2024) - [i49]Yuan Shen, Duygu Ceylan, Paul Guerrero, Zexiang Xu, Niloy J. Mitra, Shenlong Wang, Anna Frühstück:
SuperGaussian: Repurposing Video Models for 3D Super Resolution. CoRR abs/2406.00609 (2024) - [i48]Ansh Sharma, Albert Xiao, Praneet Rathi, Rohit Kundu, Albert J. Zhai, Yuan Shen, Shenlong Wang:
EarthGen: Generating the World from Top-Down Views. CoRR abs/2409.01491 (2024) - [i47]Boyuan Tian, Yihan Pang, Muhammad Huzaifa, Shenlong Wang, Sarita V. Adve:
Towards Energy-Efficiency by Navigating the Trilemma of Energy, Latency, and Accuracy. CoRR abs/2409.04018 (2024) - [i46]Jae Yong Lee, Yuqun Wu, Chuhang Zou, Derek Hoiem, Shenlong Wang:
Plenoptic PNG: Real-Time Neural Radiance Fields in 150 KB. CoRR abs/2409.15689 (2024) - [i45]Shaowei Liu, Zhongzheng Ren, Saurabh Gupta, Shenlong Wang:
PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation. CoRR abs/2409.18964 (2024) - 2023
- [j3]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): 8192-8199 (2023) - [c56]Shaowei Liu, Saurabh Gupta, Shenlong Wang:
Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds. CVPR 2023: 21138-21147 - [c55]Yuan Li, Zhi-Hao Lin, David A. Forsyth, Jia-Bin Huang, Shenlong Wang:
ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field. ICCV 2023: 3204-3215 - [c54]Xiyue Zhu, Vlas Zyrianov, Zhijian Liu, Shenlong Wang:
MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models. ICCV 2023: 8194-8205 - [c53]Albert J. Zhai, Shenlong Wang:
PEANUT: Predicting and Navigating to Unseen Targets. ICCV 2023: 10892-10901 - [c52]Shaowei Liu, Yang Zhou, Jimei Yang, Saurabh Gupta, Shenlong Wang:
ContactGen: Generative Contact Modeling for Grasp Generation. ICCV 2023: 20552-20563 - [c51]Sheng Cheng, Lin Song, Minkyung Kim, Shenlong Wang, Naira Hovakimyan:
DiffTune+: Hyperparameter-Free Auto-Tuning using Auto-Differentiation. L4DC 2023: 170-183 - [c50]Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang:
Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects. NeurIPS 2023 - [c49]Muhammad Huzaifa, Boyuan Tian, Yihan Pang, Henry Che, Shenlong Wang, Sarita V. Adve:
ADAPTIVEFUSION: Low Power Scene Reconstruction. VR Workshops 2023: 907-908 - [i44]Shaowei Liu, Saurabh Gupta, Shenlong Wang:
Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds. CoRR abs/2306.00979 (2023) - [i43]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 abs/2306.08807 (2023) - [i42]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 abs/2306.09349 (2023) - [i41]Xiyue Zhu, Vlas Zyrianov, Zhijian Liu, Shenlong Wang:
MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models. CoRR abs/2308.12963 (2023) - [i40]Shaowei Liu, Yang Zhou, Jimei Yang, Saurabh Gupta, Shenlong Wang:
ContactGen: Generative Contact Modeling for Grasp Generation. CoRR abs/2310.03740 (2023) - [i39]João Marcos Correia Marques, Albert J. Zhai, Shenlong Wang, Kris Hauser:
On the Overconfidence Problem in Semantic 3D Mapping. CoRR abs/2311.10018 (2023) - [i38]Ran Tao, Sheng Cheng, Xiaofeng Wang, Shenlong Wang, Naira Hovakimyan:
DiffTune-MPC: Closed-Loop Learning for Model Predictive Control. CoRR abs/2312.11384 (2023) - 2022
- [j2]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: 1-15 (2022) - [c48]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: 203-207 - [c47]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: 15681-15691 - [c46]Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba:
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CVPR 2022: 15903-15913 - [c45]Vlas Zyrianov, Xiyue Zhu, Shenlong Wang:
Learning to Generate Realistic LiDAR Point Clouds. ECCV (23) 2022: 17-35 - [c44]Yuan Shen, Wei-Chiu Ma, Shenlong Wang:
SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping. NeurIPS 2022 - [c43]Yuefan Wu, Zeyuan Chen, Shaowei Liu, Zhongzheng Ren, Shenlong Wang:
CASA: Category-agnostic Skeletal Animal Reconstruction. NeurIPS 2022 - [c42]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: 277-286 - [i37]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 abs/2204.13696 (2022) - [i36]Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba:
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CoRR abs/2206.08365 (2022) - [i35]Vlas Zyrianov, Xiyue Zhu, Shenlong Wang:
Learning to Generate Realistic LiDAR Point Clouds. CoRR abs/2209.03954 (2022) - [i34]Sheng Cheng, Minkyung Kim, Lin Song, Zhuohuan Wu, Shenlong Wang, Naira Hovakimyan:
DiffTune: Auto-Tuning through Auto-Differentiation. CoRR abs/2209.10021 (2022) - [i33]Yuefan Wu, Zeyuan Chen, Shaowei Liu, Zhongzheng Ren, Shenlong Wang:
CASA: Category-agnostic Skeletal Animal Reconstruction. CoRR abs/2211.03568 (2022) - [i32]Yuan Li, Zhi-Hao Lin, David A. Forsyth, Jia-Bin Huang, Shenlong Wang:
ClimateNeRF: Physically-based Neural Rendering for Extreme Climate Synthesis. CoRR abs/2211.13226 (2022) - [i31]Jae Yong Lee, Yuqun Wu, Chuhang Zou, Shenlong Wang, Derek Hoiem:
QFF: Quantized Fourier Features for Neural Field Representations. CoRR abs/2212.00914 (2022) - [i30]Albert J. Zhai, Shenlong Wang:
PEANUT: Predicting and Navigating to Unseen Targets. CoRR abs/2212.02497 (2022) - [i29]Sheng Cheng, Lin Song, Minkyung Kim, Shenlong Wang, Naira Hovakimyan:
DiffTune+: Hyperparameter-Free Auto-Tuning using Auto-Differentiation. CoRR abs/2212.03194 (2022) - 2021
- [b1]Shenlong Wang:
Deep Structured Models for Spatial Intelligence. University of Toronto, Canada, 2021 - [j1]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: 106996 (2021) - [c41]Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
SceneGen: Learning To Generate Realistic Traffic Scenes. CVPR 2021: 892-901 - [c40]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: 7230-7240 - [c39]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: 13284-13293 - [c38]Anqi Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang:
Asynchronous Multi-View SLAM. ICRA 2021: 5669-5676 - [c37]Guo Lu, Ren Yang, Shenlong Wang, Shan Liu, Radu Timofte:
Deep Learning for Visual Data Compression. ACM Multimedia 2021: 5683-5685 - [i28]Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
SceneGen: Learning to Generate Realistic Traffic Scenes. CoRR abs/2101.06541 (2021) - [i27]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 abs/2101.06543 (2021) - [i26]Anqi Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang:
Asynchronous Multi-View SLAM. CoRR abs/2101.06562 (2021) - [i25]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 abs/2101.06571 (2021) - [i24]Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun:
Deep Parametric Continuous Convolutional Neural Networks. CoRR abs/2101.06742 (2021) - [i23]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 abs/2101.06860 (2021) - [i22]Min Bai, Shenlong Wang, Kelvin Wong, Ersin Yumer, Raquel Urtasun:
Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving. CoRR abs/2101.06865 (2021) - [i21]Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun:
Deep Feedback Inverse Problem Solver. CoRR abs/2101.07719 (2021) - 2020
- [c36]Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun:
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. CVPR 2020: 1310-1320 - [c35]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: 11164-11173 - [c34]Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun:
DSDNet: Deep Structured Self-driving Network. ECCV (21) 2020: 156-172 - [c33]Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun:
Deep Feedback Inverse Problem Solver. ECCV (5) 2020: 229-246 - [c32]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: 453-468 - [c31]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: 4477-4484 - [c30]Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun:
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models. NeurIPS 2020 - [i20]Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun:
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. CoRR abs/2005.07178 (2020) - [i19]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 abs/2006.09348 (2020) - [i18]Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun:
DSDNet: Deep Structured self-Driving Network. CoRR abs/2008.06041 (2020) - [i17]Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun:
Conditional Entropy Coding for Efficient Video Compression. CoRR abs/2008.09180 (2020) - [i16]Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun:
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models. CoRR abs/2011.07590 (2020) - [i15]Ioan Andrei Bârsan, Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun:
Learning to Localize Using a LiDAR Intensity Map. CoRR abs/2012.10902 (2020) - [i14]Xinkai Wei, Ioan Andrei Bârsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun:
Learning to Localize Through Compressed Binary Maps. CoRR abs/2012.10942 (2020) - [i13]Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun:
Deep Continuous Fusion for Multi-Sensor 3D Object Detection. CoRR abs/2012.10992 (2020) - [i12]Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun:
Convolutional Recurrent Network for Road Boundary Extraction. CoRR abs/2012.12160 (2020) - [i11]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 abs/2012.12437 (2020)
2010 – 2019
- 2019
- [c29]Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun:
Identifying Unknown Instances for Autonomous Driving. CoRL 2019: 384-393 - [c28]Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun:
Deep Rigid Instance Scene Flow. CVPR 2019: 3614-3622 - [c27]Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun:
Convolutional Recurrent Network for Road Boundary Extraction. CVPR 2019: 9512-9521 - [c26]Xinkai Wei, Ioan Andrei Barsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun:
Learning to Localize Through Compressed Binary Maps. CVPR 2019: 10316-10324 - [c25]Jerry Liu, Shenlong Wang, Raquel Urtasun:
DSIC: Deep Stereo Image Compression. ICCV 2019: 3136-3145 - [c24]Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, Raquel Urtasun:
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch. ICCV 2019: 4383-4392 - [c23]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: 5304-5311 - [c22]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: 4257-4267 - [i10]Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun:
Deep Rigid Instance Scene Flow. CoRR abs/1904.08913 (2019) - [i9]Min Bai, Gellért Máttyus, Namdar Homayounfar, Shenlong Wang, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun:
Deep Multi-Sensor Lane Detection. CoRR abs/1905.01555 (2019) - [i8]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 abs/1908.03274 (2019) - [i7]Jerry Liu, Shenlong Wang, Raquel Urtasun:
DSIC: Deep Stereo Image Compression. CoRR abs/1908.03631 (2019) - [i6]Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, Raquel Urtasun:
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch. CoRR abs/1909.05845 (2019) - [i5]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 abs/1910.00760 (2019) - [i4]Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun:
Identifying Unknown Instances for Autonomous Driving. CoRR abs/1910.11296 (2019) - 2018
- [c21]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: 570-577 - [c20]Ioan Andrei Barsan, Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun:
Learning to Localize Using a LiDAR Intensity Map. CoRL 2018: 605-616 - [c19]Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun:
Deep Parametric Continuous Convolutional Neural Networks. CVPR 2018: 2589-2597 - [c18]Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun:
Deep Continuous Fusion for Multi-sensor 3D Object Detection. ECCV (16) 2018: 663-678 - [c17]Min Bai, Gellért Máttyus, Namdar Homayounfar, Shenlong Wang, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun:
Deep Multi-Sensor Lane Detection. IROS 2018: 3102-3109 - 2017
- [c16]Shenlong Wang, Linjie Luo, Ning Zhang, Jia Li:
AutoScaler: Scale-Attention Networks for Visual Correspondence. BMVC 2017 - [c15]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: 3028-3036 - [c14]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: 6292-6299 - 2016
- [c13]Shenlong Wang, Sean Ryan Fanello, Christoph Rhemann, Shahram Izadi, Pushmeet Kohli:
The Global Patch Collider. CVPR 2016: 127-135 - [c12]Gellért Máttyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun:
HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images. CVPR 2016: 3611-3619 - [c11]