Object-based affordances detection with Convolutional Neural Networks and dense Conditional Random Fields
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Nikolaos G. Tsagarakis | Darwin G. Caldwell | Dimitrios Kanoulas | Anh Nguyen | D. Caldwell | N. Tsagarakis | Anh Nguyen | D. Kanoulas
[1] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling , 2015, CVPR 2015.
[2] Nikolaos G. Tsagarakis,et al. OpenSoT: A whole-body control library for the compliant humanoid robot COMAN , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[3] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[4] Nikolaos G. Tsagarakis,et al. Detecting object affordances with Convolutional Neural Networks , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[5] Honglak Lee,et al. Deep learning for detecting robotic grasps , 2013, Int. J. Robotics Res..
[6] Vibhav Vineet,et al. Conditional Random Fields as Recurrent Neural Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[7] Justus H. Piater,et al. Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[8] J. Gibson. The Ecological Approach to Visual Perception , 1979 .
[9] Yi Li,et al. R-FCN: Object Detection via Region-based Fully Convolutional Networks , 2016, NIPS.
[10] Loong Fah Cheong,et al. Segmentation over Detection by Coupled Global and Local Sparse Representations , 2012, ECCV.
[11] James J. DiCarlo,et al. How Does the Brain Solve Visual Object Recognition? , 2012, Neuron.
[12] Danica Kragic,et al. Data-Driven Grasp Synthesis—A Survey , 2013, IEEE Transactions on Robotics.
[13] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[14] Vladlen Koltun,et al. Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials , 2011, NIPS.
[15] Sinisa Todorovic,et al. A Multi-scale CNN for Affordance Segmentation in RGB Images , 2016, ECCV.
[16] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[17] Florentin Wörgötter,et al. Bootstrapping the Semantics of Tools: Affordance Analysis of Real World Objects on a Per-part Basis , 2016, IEEE Transactions on Cognitive and Developmental Systems.
[18] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Lihi Zelnik-Manor,et al. How to Evaluate Foreground Maps , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Juergen Gall,et al. Weakly Supervised Learning of Affordances , 2016, ArXiv.
[21] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Robert Platt,et al. Open world assistive grasping using laser selection , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[23] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[24] Jörn Malzahn,et al. WALK‐MAN: A High‐Performance Humanoid Platform for Realistic Environments , 2017, J. Field Robotics.
[25] Jitendra Malik,et al. Simultaneous Detection and Segmentation , 2014, ECCV.
[26] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Sergey Levine,et al. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection , 2016, Int. J. Robotics Res..
[28] Yiannis Aloimonos,et al. Affordance detection of tool parts from geometric features , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[29] Guosheng Lin,et al. Deep convolutional neural fields for depth estimation from a single image , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Iasonas Kokkinos,et al. Pushing the Boundaries of Boundary Detection using Deep Learning , 2015, ICLR 2016.
[31] Atabak Dehban,et al. Denoising auto-encoders for learning of objects and tools affordances in continuous space , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[32] Nikolaos G. Tsagarakis,et al. Preparatory object reorientation for task-oriented grasping , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).