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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) - [c62]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 - [c61]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 - [c60]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 - [c59]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 - [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]Hang Chu, Shenlong Wang, Raquel Urtasun, Sanja Fidler:
HouseCraft: Building Houses from Rental Ads and Street Views. ECCV (6) 2016: 500-516 - [c10]Shenlong Wang, Sanja Fidler, Raquel Urtasun:
Proximal Deep Structured Models. NIPS 2016: 865-873 - [c9]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, Qin Cai, Philip A. Chou, Sarah Mennicken, Julien P. C. Valentin, Vivek Pradeep, Shenlong Wang, Sing Bing Kang, Pushmeet Kohli, Yuliya Lutchyn, Cem Keskin, Shahram Izadi:
Holoportation: Virtual 3D Teleportation in Real-time. UIST 2016: 741-754 - [i3]Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker, Sanja Fidler, Raquel Urtasun:
Find your Way by Observing the Sun and Other Semantic Cues. CoRR abs/1606.07415 (2016) - [i2]Shenlong Wang, Linjie Luo, Ning Zhang, Jia Li:
AutoScaler: Scale-Attention Networks for Visual Correspondence. CoRR abs/1611.05837 (2016) - [i1]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. CoRR abs/1612.00423 (2016) - 2015
- [c8]Shenlong Wang, Sanja Fidler, Raquel Urtasun:
Holistic 3D scene understanding from a single geo-tagged image. CVPR 2015: 3964-3972 - [c7]Gellért Máttyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun:
Enhancing Road Maps by Parsing Aerial Images Around the World. ICCV 2015: 1689-1697 - [c6]Shenlong Wang, Sanja Fidler, Raquel Urtasun:
Lost Shopping! Monocular Localization in Large Indoor Spaces. ICCV 2015: 2695-2703 - 2014
- [c5]Shenlong Wang, Lei Zhang, Raquel Urtasun:
Transductive Gaussian processes for image denoising. ICCP 2014: 1-8 - [c4]Shenlong Wang, Alexander G. Schwing, Raquel Urtasun:
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials. NIPS 2014: 936-944 - 2012
- [c3]Shenlong Wang, Lei Zhang, Yan Liang:
Nonlocal Spectral Prior Model for Low-Level Vision. ACCV (3) 2012: 231-244 - [c2]Shenlong Wang, Lei Zhang, Yan Liang, Quan Pan:
Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis. CVPR 2012: 2216-2223 - [c1]Meng Yang, Lei Zhang, David Zhang, Shenlong Wang:
Relaxed collaborative representation for pattern classification. CVPR 2012: 2224-2231
Coauthor Index
Ioan Andrei Barsan
aka: Ioan Andrei Bârsan
aka: Ioan Andrei Bârsan
[c46] [c42] [i36] [c41] [c40] [c39] [c38] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [c20] [c19] [c18] [c17] [c15] [c14] [c12] [c11] [c10] [i3] [i1] [c8] [c7] [c6] [c5] [c4]
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last updated on 2024-10-18 20:26 CEST by the dblp team
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