暂无分享,去创建一个
Mingyan Liu | Bo Li | Jia Deng | Chaowei Xiao | Dawei Yang | Jia Deng | M. Liu | Bo Li | Dawei Yang | Chaowei Xiao
[1] Vladlen Koltun,et al. Playing for Data: Ground Truth from Computer Games , 2016, ECCV.
[2] Chun-Liang Li,et al. Adversarial Geometry and Lighting using a Differentiable Renderer , 2018, ArXiv.
[3] Yannick Hold-Geoffroy,et al. Deep Outdoor Illumination Estimation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Jia Deng,et al. Shape from Shading Through Shape Evolution , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[5] Sergey Ioffe,et al. Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Zhenhua Wang,et al. Synthesizing Training Images for Boosting Human 3D Pose Estimation , 2016, 2016 Fourth International Conference on 3D Vision (3DV).
[7] Geoffrey Zweig,et al. Recent advances in deep learning for speech research at Microsoft , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[8] Seyed-Mohsen Moosavi-Dezfooli,et al. DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Cordelia Schmid,et al. Learning from Synthetic Humans , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Mingyan Liu,et al. Spatially Transformed Adversarial Examples , 2018, ICLR.
[11] Yong-Liang Yang,et al. RenderNet: A deep convolutional network for differentiable rendering from 3D shapes , 2018, NeurIPS.
[12] Jason Weston,et al. A unified architecture for natural language processing: deep neural networks with multitask learning , 2008, ICML '08.
[13] Mingyan Liu,et al. Generating Adversarial Examples with Adversarial Networks , 2018, IJCAI.
[14] Shie Mannor,et al. A Tutorial on the Cross-Entropy Method , 2005, Ann. Oper. Res..
[15] Dawn Song,et al. Robust Physical-World Attacks on Deep Learning Models , 2017, 1707.08945.
[16] Joan Bruna,et al. Intriguing properties of neural networks , 2013, ICLR.
[17] Pat Hanrahan,et al. An efficient representation for irradiance environment maps , 2001, SIGGRAPH.
[18] Stefan Leutenegger,et al. SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation? , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[19] Ali Farhadi,et al. YOLOv3: An Incremental Improvement , 2018, ArXiv.
[20] Alexander Wilkie,et al. An analytic model for full spectral sky-dome radiance , 2012, ACM Trans. Graph..
[21] William T. Freeman,et al. Unsupervised Training for 3D Morphable Model Regression , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[22] Dawn Song,et al. Physical Adversarial Examples for Object Detectors , 2018, WOOT @ USENIX Security Symposium.
[23] Ersin Yumer,et al. Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Jitendra Malik,et al. Shape, Illumination, and Reflectance from Shading , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Donald P. Greenberg,et al. A radiosity method for non-diffuse environments , 1986, SIGGRAPH.
[26] Michael J. Black,et al. OpenDR: An Approximate Differentiable Renderer , 2014, ECCV.
[27] Mingyan Liu,et al. Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation , 2018, ECCV.
[28] Mathieu Aubry,et al. Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Jianxiong Xiao,et al. 3D ShapeNets: A deep representation for volumetric shapes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Curtis R. Vogel,et al. Iterative Methods for Total Variation Denoising , 1996, SIAM J. Sci. Comput..
[31] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[32] Paolo Cignoni,et al. MeshLab: an Open-Source Mesh Processing Tool , 2008, Eurographics Italian Chapter Conference.
[33] Thomas A. Funkhouser,et al. Semantic Scene Completion from a Single Depth Image , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Samy Bengio,et al. Adversarial examples in the physical world , 2016, ICLR.
[35] Silvio Savarese,et al. Beyond PASCAL: A benchmark for 3D object detection in the wild , 2014, IEEE Winter Conference on Applications of Computer Vision.
[36] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[37] Logan Engstrom,et al. Synthesizing Robust Adversarial Examples , 2017, ICML.
[38] Leonidas J. Guibas,et al. Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[39] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Tatsuya Harada,et al. Neural 3D Mesh Renderer , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[41] Ananthram Swami,et al. The Limitations of Deep Learning in Adversarial Settings , 2015, 2016 IEEE European Symposium on Security and Privacy (EuroS&P).
[42] Nicola Pezzotti,et al. Differentiable Image Parameterizations , 2018, Distill.
[43] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[44] Roberto Cipolla,et al. Understanding RealWorld Indoor Scenes with Synthetic Data , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Chenxi Liu,et al. Adversarial Attacks Beyond the Image Space , 2017, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[47] Jonathon Shlens,et al. Explaining and Harnessing Adversarial Examples , 2014, ICLR.
[48] James T. Kajiya,et al. The rendering equation , 1998 .
[49] David A. Wagner,et al. Towards Evaluating the Robustness of Neural Networks , 2016, 2017 IEEE Symposium on Security and Privacy (SP).
[50] Marc Levoy,et al. Zippered polygon meshes from range images , 1994, SIGGRAPH.
[51] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.