Predicting Depth, Surface Normals and Semantic Labels With a Common Multi …

Articles citing Predicting Depth, Surface Normals and Semantic Labels With a Common Multi …

Title / Author	Year
Image-to-image translation with conditional adversarial networks P Isola, JY Zhu, T Zhou, AA Efros Proceedings of the IEEE conference on computer vision and pattern …	2017
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs LC Chen, G Papandreou, I Kokkinos, K Murphy, AL Yuille IEEE transactions on pattern analysis and machine intelligence 40 (4), 834-848	2017
Segnet: A deep convolutional encoder-decoder architecture for image segmentation V Badrinarayanan, A Kendall, R Cipolla IEEE transactions on pattern analysis and machine intelligence 39 (12), 2481 …	2017
Unpaired image-to-image translation using cycle-consistent adversarial networks JY Zhu, T Park, P Isola, AA Efros Proceedings of the IEEE international conference on computer vision, 2223-2232	2017
Semantic image segmentation with deep convolutional nets and fully connected crfs LC Chen, G Papandreou, I Kokkinos, K Murphy, AL Yuille arXiv preprint arXiv:1412.7062	2014
Perceptual losses for real-time style transfer and super-resolution J Johnson, A Alahi, L Fei-Fei European conference on computer vision, 694-711	2016
Conditional random fields as recurrent neural networks S Zheng, S Jayasumana, B Romera-Paredes, V Vineet, Z Su, D Du, ... Proceedings of the IEEE international conference on computer vision, 1529-1537	2015
Image style transfer using convolutional neural networks LA Gatys, AS Ecker, M Bethge Proceedings of the IEEE conference on computer vision and pattern …	2016
Stacked hourglass networks for human pose estimation A Newell, K Yang, J Deng European conference on computer vision, 483-499	2016
Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age C Cadena, L Carlone, H Carrillo, Y Latif, D Scaramuzza, J Neira, I Reid, ... IEEE Transactions on robotics 32 (6), 1309-1332	2016
Rethinking atrous convolution for semantic image segmentation LC Chen, G Papandreou, F Schroff, H Adam arXiv preprint arXiv:1706.05587	2017
Refinenet: Multi-path refinement networks for high-resolution semantic segmentation G Lin, A Milan, C Shen, I Reid Proceedings of the IEEE conference on computer vision and pattern …	2017
Efficient piecewise training of deep structured models for semantic segmentation G Lin, C Shen, A Van Den Hengel, I Reid Proceedings of the IEEE conference on computer vision and pattern …	2016
Unsupervised monocular depth estimation with left-right consistency C Godard, O Mac Aodha, GJ Brostow Proceedings of the IEEE Conference on Computer Vision and Pattern …	2017
Recent advances in convolutional neural networks J Gu, Z Wang, J Kuen, L Ma, A Shahroudy, B Shuai, T Liu, X Wang, ... Pattern Recognition 77, 354-377	2018
Encoder-decoder with atrous separable convolution for semantic image segmentation LC Chen, Y Zhu, G Papandreou, F Schroff, H Adam Proceedings of the European conference on computer vision (ECCV), 801-818	2018
What uncertainties do we need in bayesian deep learning for computer vision? A Kendall, Y Gal Advances in neural information processing systems, 5574-5584	2017
Deeper depth prediction with fully convolutional residual networks I Laina, C Rupprecht, V Belagiannis, F Tombari, N Navab 2016 Fourth international conference on 3D vision (3DV), 239-248	2016
Attention to scale: Scale-aware semantic image segmentation LC Chen, Y Yang, J Wang, W Xu, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …	2016
Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition R Ranjan, VM Patel, R Chellappa IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (1), 121-135	2017

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