Computer vision systems for industrial inspection and assembly, Computer, issue.5, pp.11-20, 1980. ,
Automated extraction of features from cad models for 3d object recognition, ISPRS Congress, 2000. ,
Best practices for fine-tuning visual classifiers to new domains, ECCV, pp.435-442, 2016. ,
Scaling egocentric vision: The epic-kitchens dataset, ECCV, pp.720-736, 2018. ,
Imagenet: A large-scale hierarchical image database, CVPR, pp.248-255, 2009. ,
Evaluating the microsoft hololens through an augmented reality assembly application, Degraded Environments: Sensing, Processing, and Display, vol.10197, 2017. ,
The pascal visual object classes (voc) challenge, IJCV, vol.88, issue.2, pp.303-338, 2010. ,
Evaluating virtual reality and augmented reality training for industrial maintenance and assembly tasks, Interactive Learning Environments, vol.23, issue.6, pp.778-798, 2015. ,
Simultaneous recognition and homography extraction of local patches with a simple linear classifier, BMVC, 2008. ,
On pre-trained image features and synthetic images for deep learning, ECCV Workshops, 2018. ,
Transfer learning from synthetic to real images using variational autoencoders for precise position detection, IEEE ICIP, pp.2725-2729, 2018. ,
Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again, ICCV, pp.1521-1529, 2017. ,
Parallel tracking and mapping for small AR workspaces, IEEE/ACM International Symposium on Mixed and Augmented Reality (ISMAR), 2007. ,
Simulating low-cost cameras for augmented reality compositing, IEEE Transactions on Visualization and Computer Graphics, vol.16, issue.3, pp.369-380, 2009. ,
3d orientation estimation of industrial parts from 2d images using neural networks, In ICPRAM, pp.409-416, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01681124
A survey on industrial vision systems, applications and tools, Image and Vision Computing, vol.21, issue.2, pp.171-188, 2003. ,
Deep exemplar 2d-3d detection by adapting from real to rendered views, CVPR, pp.6024-6033, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01801049
Voxnet: A 3d convolutional neural network for real-time object recognition, IROS, pp.922-928, 2015. ,
Recognition of activities of daily living with egocentric vision: A review, Sensors, vol.16, issue.1, p.72, 2016. ,
Learning deep object detectors from 3d models, ICCV, pp.1278-1286, 2015. ,
Seeing beyond appearance -mapping real images into geometrical domains for unsupervised cadbased recognition, IROS, 2019. ,
A deep learning approach to the classification of 3d cad models, Journal of Zhejiang University SCIENCE C, vol.15, issue.2, pp.91-106, 2014. ,
Cnn features off-the-shelf: an astounding baseline for recognition, CVPR Workshops, pp.806-813, 2014. ,
Darknet: Yolov3 -neural network for object detection, 2019. ,
, Yolov3: An incremental improvement, 2018.
On rendering synthetic images for training an object detector. Computer Vision and Image Understanding, vol.137, pp.24-37, 2015. ,
Trained 3d models for cnn based object recognition, VISAPP, pp.130-137, 2017. ,
Render for cnn: Viewpoint estimation in images using cnns trained with rendered 3d model views, ICCV, pp.2686-2694, 2015. ,
Implicit 3d orientation learning for 6d object detection from rgb images, ECCV, pp.699-715, 2018. ,
Shapebased object recognition in videos using 3d synthetic object models, CVPR, pp.288-295, 2009. ,
Training deep networks with synthetic data: Bridging the reality gap by domain randomization, CVPR Workshops, pp.969-977, 2018. ,
Real-time object recognition in digital images for industrial applications, 5th Conference on Optical 3-D Measurement Techniques, pp.308-318, 2001. ,
A survey of augmented reality technologies, applications and limitations, International Journal of Virtual Reality, vol.9, issue.2 ,
URL : https://hal.archives-ouvertes.fr/hal-01530500
Adaptive o-cnn: A patch-based deep representation of 3d shapes, ACM Transactions on Graphics, vol.37, issue.6, p.217, 2019. ,
Learning descriptors for object recognition and 3d pose estimation, CVPR, pp.3109-3118, 2015. ,
3d shapenets: A deep representation for volumetric shapes, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1912-1920, 2015. ,
Beyond pascal: A benchmark for 3d object detection in the wild, IEEE Winter Conference on Applications of Computer Vision, pp.75-82, 2014. ,