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Ersin Yumer | Raquel Urtasun | Shenlong Wang | Yun Chen | Sivabalan Manivasagam | Xinchen Yan | Shivam Duggal | Frieda Rong | Shangjie Xue | R. Urtasun | Xinchen Yan | Ersin Yumer | Shenlong Wang | S. Manivasagam | Yun Chen | Shivam Duggal | Shangjie Xue | Frieda Rong
[1] Thomas A. Funkhouser,et al. MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments , 2017, ArXiv.
[2] Marc Alexa,et al. Laplacian mesh optimization , 2006, GRAPHITE '06.
[3] Jiajun Wu,et al. Visual Object Networks: Image Generation with Disentangled 3D Representations , 2018, NeurIPS.
[4] Jan Kautz,et al. Context-aware Synthesis and Placement of Object Instances , 2018, NeurIPS.
[5] Dumitru Erhan,et al. SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Martial Hebert,et al. Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[8] Daniela Rus,et al. Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation , 2020, IEEE Robotics and Automation Letters.
[9] Seunghoon Hong,et al. Learning Hierarchical Semantic Image Manipulation through Structured Representations , 2018, NeurIPS.
[10] Germán Ros,et al. CARLA: An Open Urban Driving Simulator , 2017, CoRL.
[11] Jitendra Malik,et al. Learning Category-Specific Mesh Reconstruction from Image Collections , 2018, ECCV.
[12] Sepp Hochreiter,et al. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.
[13] David A. Forsyth,et al. Cut-and-Paste Neural Rendering , 2020, ArXiv.
[14] Liqing Zhang,et al. DoveNet: Deep Image Harmonization via Domain Verification , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Andreas Geiger,et al. Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes , 2017, International Journal of Computer Vision.
[16] A. Torralba,et al. Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering , 2020, ICLR.
[17] Vladlen Koltun,et al. Photographic Image Synthesis with Cascaded Refinement Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[18] Brian Tarran,et al. Playing with data , 2014 .
[19] Jan-Michael Frahm,et al. Deep blending for free-viewpoint image-based rendering , 2018, ACM Trans. Graph..
[20] Ning Zhang,et al. Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence , 2018, ECCV.
[21] Jinwoo Shin,et al. InstaGAN: Instance-aware Image-to-Image Translation , 2018, ICLR.
[22] Li Fei-Fei,et al. Image Generation from Scene Graphs , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[23] Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer , 2019, NeurIPS.
[24] Ross B. Girshick,et al. PointRend: Image Segmentation As Rendering , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Vladlen Koltun,et al. Playing for Data: Ground Truth from Computer Games , 2016, ECCV.
[26] R. Urtasun,et al. PnPNet: End-to-End Perception and Prediction With Tracking in the Loop , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[28] David A. Forsyth,et al. Rendering synthetic objects into legacy photographs , 2011, ACM Trans. Graph..
[29] Sergey Levine,et al. Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[30] Liang Wang,et al. Augmented LiDAR Simulator for Autonomous Driving , 2018, IEEE Robotics and Automation Letters.
[31] Andreas Geiger,et al. Vision meets robotics: The KITTI dataset , 2013, Int. J. Robotics Res..
[32] Ali Farhadi,et al. AI2-THOR: An Interactive 3D Environment for Visual AI , 2017, ArXiv.
[33] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Hao Li,et al. Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[35] Simon Lucey,et al. Argoverse: 3D Tracking and Forecasting With Rich Maps , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Antonio M. López,et al. The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Noah Snavely,et al. Layer-structured 3D Scene Inference via View Synthesis , 2018, ECCV.
[38] Abhinav Gupta,et al. Generative Image Modeling Using Style and Structure Adversarial Networks , 2016, ECCV.
[39] Qiang Xu,et al. nuScenes: A Multimodal Dataset for Autonomous Driving , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Ersin Yumer,et al. ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[41] Kaiming He,et al. Group Normalization , 2018, ECCV.
[42] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[43] Taesung Park,et al. Semantic Image Synthesis With Spatially-Adaptive Normalization , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Jan Kautz,et al. Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[45] D. Manocha,et al. AADS: Augmented autonomous driving simulation using data-driven algorithms , 2019, Science Robotics.
[46] Alain L. Kornhauser,et al. Beyond Grand Theft Auto V for Training, Testing and Enhancing Deep Learning in Self Driving Cars , 2017, ArXiv.
[47] Thomas S. Huang,et al. Free-Form Image Inpainting With Gated Convolution , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[48] Jitendra Malik,et al. Habitat: A Platform for Embodied AI Research , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[49] Francesco Borrelli,et al. Autonomous drifting with onboard sensors , 2016 .
[50] Raquel Urtasun,et al. Learning Joint 2D-3D Representations for Depth Completion , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[51] Seunghoon Hong,et al. Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[52] Darius Burschka,et al. Interaction-Aware Probabilistic Behavior Prediction in Urban Environments , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[53] Timo Aila,et al. A Style-Based Generator Architecture for Generative Adversarial Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Leonidas J. Guibas,et al. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Alexei A. Efros,et al. Photo clip art , 2007, ACM Trans. Graph..
[56] Ersin Yumer,et al. Transformation-Grounded Image Generation Network for Novel 3D View Synthesis , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[57] Raquel Urtasun,et al. LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[58] Jitendra Malik,et al. Gibson Env: Real-World Perception for Embodied Agents , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[59] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[60] Paul E. Debevec,et al. Rendering synthetic objects into real scenes: bridging traditional and image-based graphics with global illumination and high dynamic range photography , 1998, SIGGRAPH '08.
[61] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[62] Jan Kautz,et al. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[63] Jie Song,et al. Monocular Neural Image Based Rendering With Continuous View Control , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).