Smooth object retrieval using a bag of boundaries, International Conference on Computer Vision (ICCV), 2011. ,
Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014. ,
DOI : 10.1109/CVPR.2014.487
URL : https://hal.archives-ouvertes.fr/hal-01057240
Torch7: A Matlab-like environment for machine learning, BigLearn, NIPS Workshop, 2011. ,
ImageNet: A largescale hierarchical image database, International Conference on Computer Vision and Pattern Recognition (CVPR), pp.248-255, 2009. ,
The Pascal Visual Object Classes (VOC) Challenge, International Journal of Computer Vision, vol.73, issue.2, pp.303-338, 2010. ,
DOI : 10.1371/journal.pcbi.0040027
Object Detection with Discriminatively Trained Part-Based Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.9, p.32, 2010. ,
DOI : 10.1109/TPAMI.2009.167
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014. ,
DOI : 10.1109/CVPR.2014.81
URL : http://arxiv.org/pdf/1311.2524
Viewpoint-aware object detection and pose estimation, International Conference on Computer Vision (ICCV), 2011. ,
DOI : 10.1109/iccv.2011.6126379
URL : http://www.ai.mit.edu/people/gregory/papers/iccv2011.pdf
Spatial pyramid pooling in deep convolutional networks for visual recognition, European Conference on Computer Vision (ECCV), pp.346-361, 2014. ,
Deep Residual Learning for Image Recognition, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. ,
DOI : 10.1109/CVPR.2016.90
URL : http://arxiv.org/pdf/1512.03385
Analyzing 3D objects in cluttered images, Advances in Neural Information Processing Systems (NIPS), 2012. ,
Object recognition using alignment, International Conference on Computer Vision (ICCV), 1987. ,
ImageNet classification with deep convolutional neural networks, Advances in neural information processing systems, pp.1097-1105, 2012. ,
DOI : 10.1162/neco.2009.10-08-881
Backpropagation Applied to Handwritten Zip Code Recognition, Neural Computation, vol.1, issue.4, pp.541-551, 1989. ,
DOI : 10.1007/BF00133697
Worldwide pose estimation using 3D point clouds, European Conference on Computer Vision (ECCV), 2012. ,
DOI : 10.1007/978-3-642-33718-5_2
URL : https://infoscience.epfl.ch/record/201014/files/global_pose.pdf
Parsing IKEA Objects: Fine Pose Estimation, 2013 IEEE International Conference on Computer Vision, pp.2992-2999, 2013. ,
DOI : 10.1109/ICCV.2013.372
URL : http://people.csail.mit.edu/lim/paper/lpt_iccv2013.pdf
The viewpoint consistency constraint, International Journal of Computer Vision, vol.171, issue.1, pp.57-72, 1987. ,
DOI : 10.1177/027836498400300301
Convolutional neural networks for joint object detection and pose estimation: A comparative study, 2014. ,
Synergistic Face Detection and Pose Estimation with Energy-Based Models, The Journal of Machine Learning Research (JMLR), vol.8, pp.1197-1215, 2007. ,
DOI : 10.1007/11957959_10
Improving object classification using pose information, 2011. ,
Teaching 3D geometry to deformable part models, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.3362-3369, 2012. ,
DOI : 10.1109/CVPR.2012.6248075
URL : http://ps.is.tue.mpg.de/publications/59/get_file/
Learning to segment object candidates, Advances in Neural Information Processing Systems (NIPS), pp.1990-1998, 2015. ,
Machine perception of 3-D solids, 1965. ,
Very deep convolutional networks for largescale image recognition. arXiv preprint, 2014. ,
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views, 2015 IEEE International Conference on Computer Vision (ICCV), pp.2686-2694, 2015. ,
DOI : 10.1109/ICCV.2015.308
Viewpoints and keypoints, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1510-1519, 2015. ,
DOI : 10.1109/CVPR.2015.7298758
URL : http://arxiv.org/pdf/1411.6067
Beyond PASCAL: A benchmark for 3D object detection in the wild, IEEE Winter Conference on Applications of Computer Vision, 2014. ,
DOI : 10.1109/WACV.2014.6836101
Estimating the aspect layout of object categories, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6248081
Detailed 3D Representations for Object Recognition and Modeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.11, p.2013 ,
DOI : 10.1109/TPAMI.2013.87