Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks, International Conference on Artificial Neural Networks and Machine Learning (ICANN), vol.11141, pp.594-603, 2018. ,
Occlusion Detection and Motion Estimation with Convex Optimization, Advances in Neural Information Processing Systems (NIPS), pp.100-108, 2010. ,
Sparse Occlusion Detection with Optical Flow, International Journal of Computer Vision (IJCV), vol.97, issue.3, pp.322-338, 2012. ,
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol.39, issue.12, pp.2481-2495, 2017. ,
Deep Watershed Transform for Instance Segmentation, Conference on Computer Vision and Pattern Recognition (CVPR), pp.2858-2866, 2017. ,
Improved Road Connectivity by Joint Learning of Orientation and Segmentation, Conference on Computer Vision and Pattern Recognition (CVPR), pp.10385-10393, 2019. ,
A theory of learning from different domains, Machine Learning, vol.79, issue.1-2, pp.151-175, 2010. ,
Impossibility Theorems for Domain Adaptation, International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR.org, JMLR Proceedings, vol.9, pp.129-136, 2010. ,
Blender -a 3D modelling and rendering package. Blender Foundation, Blender Institute, 2016. ,
Symmetry Aware Evaluation of 3D Object Detection and Pose Estimation in Scenes of Many Parts in Bulk, International Conference on Computer Vision Workshops (ICCVW), pp.2209-2218, 2017. ,
COCO-Stuff: Thing and Stuff Classes in Context, Conference on Computer Vision and Pattern Recognition (CVPR), pp.1209-1218, 2018. ,
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware, International Conference on Learning Representations, 2019. ,
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation, European Conference on Computer Vision (ECCV) Part VII, vol.11211, pp.833-851, 2018. ,
AutoAugment: Learning Augmentation Strategies From Data, Conference on Computer Vision and Pattern Recognition (CVPR), pp.113-123, 2019. ,
Instance-Aware Semantic Segmentation via Multi-task Network Cascades, Conference on Computer Vision and Pattern Recognition (CVPR), pp.3150-3158, 2016. ,
Learning to Predict Crisp Boundaries, European Conference on Computer Vision (ECCV) Part VI, vol.11210, pp.570-586, 2018. ,
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection, International Conference on Robotics and Automation (ICRA), pp.1-5, 2018. ,
Style Aggregated Network for Facial Landmark Detection, Conference on Computer Vision and Pattern Recognition (CVPR), pp.379-388, 2018. ,
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network, Advances in Neural Information Processing Systems (NIPS), pp.2366-2374, 2014. ,
The Pascal Visual Object Classes Challenge: A Retrospective, International Journal of Computer Vision (IJCV), vol.111, issue.1, pp.98-136, 2015. ,
S4Net: Single Stage Salient-Instance Segmentation, Conference on Computer Vision and Pattern Recognition (CVPR), pp.6103-6112, 2019. ,
, European Conference on Computer Vision (ECCV) Part X, vol.11214, pp.581-597, 2018.
Learning to See the Invisible: Endto-End Trainable Amodal Instance Segmentation, Winter Conference on Applications of Computer Vision, pp.1328-1336, 2019. ,
Occlusion Boundary Detection via Deep Exploration of Context, Conference on Computer Vision and Pattern Recognition (CVPR), pp.241-250, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01578439
Deep Ordinal Regression Network for Monocular Depth Estimation, Conference on Computer Vision and Pattern Recognition (CVPR), pp.2002-2011, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01741163
Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement, Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society, vol.11207, pp.232-247, 2016. ,
Vision meets robotics: The KITTI dataset, International Journal of Robotics Research (IJRR), vol.32, issue.11, pp.1231-1237, 2013. ,
Occlusions and binocular stereo, International Journal of Computer Vision (IJCV), vol.14, issue.3, pp.211-226, 1995. ,
Understanding the difficulty of training deep feedforward neural networks, In: International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR.org, JMLR Proceedings, vol.9, pp.249-256, 2010. ,
Disparity and occlusion estimation in multiocular systems and their coding for the communication of multiview image sequences, Transactions on Circuits and Systems for Video Technology (TCSVT), vol.8, pp.328-344, 1998. ,
Object Segmentation in Depth Maps with One User Click and a Synthetically Trained Fully Convolutional Network, 2017 International Workshop on Human-Friendly Robotics, vol.7, pp.207-221, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01674511
Fully Dense UNet for 2D Sparse Photoacoustic Tomography Artifact Removal, Conference on Computer Vision and Pattern Recognition (CVPR), pp.587-595, 2017. ,
, International Conference on Computer Vision (ICCV), pp.2980-2988, 2017.
Occlusion Boundary Detection Using Pseudo-depth, European Conference on Computer Vision (ECCV) Part IV, vol.6314, pp.539-552, 2010. ,
Densely Connected Convolutional Networks, Conference on Computer Vision and Pattern Recognition (CVPR), pp.2261-2269, 2017. ,
Learning to find occlusion regions, Conference on Computer Vision and Pattern Recognition (CVPR), pp.2161-2168, 2011. ,
Caffe: Convolutional Architecture for Fast Feature Embedding, International Conference on Multimedia, ACM, MM'14, pp.675-678, 2014. ,
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics, Conference on Computer Vision and Pattern Recognition (CVPR), pp.7482-7491, 2018. ,
Adam: A Method for Stochastic Optimization, International Conference on Learning Representations, 2015. ,
InstanceCut: From Edges to Instances with MultiCut, Conference on Computer Vision and Pattern Recognition (CVPR), pp.7322-7331, 2017. ,
PointRend: Image Segmentation as Rendering, p.8193, 1912. ,
Recurrent Pixel Embedding for Instance Grouping, Conference on Computer Vision and Pattern Recognition (CVPR), pp.9018-9028, 2018. ,
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations, Conference on Computer Vision and Pattern Recognition (CVPR), pp.4984-4993, 2019. ,
Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs, Conference on Computer Vision and Pattern Recognition (CVPR), pp.1119-1127, 2015. ,
, Conference on Computer Vision and Pattern Recognition (CVPR), pp.247-256, 2017.
Microsoft COCO: Common Objects in Context, European Conference on Computer Vision (ECCV) Part V, vol.8693, pp.740-755, 2014. ,
Focal Loss for Dense Object Detection, International Conference on Computer Vision (ICCV), pp.2999-3007, 2017. ,
, Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields. IEEE Transactions on Pattern Analysis Machine Intelligence (TPAMI), vol.38, pp.2024-2039, 2016.
Photographic image synthesis with improved U-net, International Conference on Advanced Computational Intelligence (ICACI), pp.402-407, 2018. ,
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution, Advances in Neural Information Processing Systems (NeurIPS), pp.9628-9639, 2018. ,
Path Aggregation Network for Instance Segmentation, Conference on Computer Vision and Pattern Recognition (CVPR), pp.8759-8768, 2018. ,
End-to-End Multi-Task Learning with Attention, Conference on Computer Vision and Pattern Recognition (CVPR), pp.1871-1880, 2019. ,
Richer Convolutional Features for Edge Detection, Conference on Computer Vision and Pattern Recognition (CVPR), pp.5872-5881, 2017. ,
Deep Dual Learning for Semantic Image Segmentation, International Conference on Computer Vision (ICCV), pp.2737-2745, 2017. ,
Convolutional Oriented Boundaries, European Conference on Computer Vision (ECCV) Part I, vol.9905, pp.580-596, 2016. ,
A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics, International Conference on Computer Vision (ICCV), pp.416-423, 2001. ,
, SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation? In: International Conference on Computer Vision (ICCV), pp.2697-2706, 2017.
Cross-Stitch Networks for Multi-task Learning, Conference on Computer Vision and Pattern Recognition (CVPR), pp.3994-4003, 2016. ,
Semi-convolutional Operators for Instance Segmentation, European Conference on Computer Vision (ECCV) Part I, vol.11205, pp.89-105, 2018. ,
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol.39, issue.1, pp.128-140, 2017. ,
Amodal Instance Segmentation With KINS Dataset, Conference on Computer Vision and Pattern Recognition (CVPR), pp.3014-3023, 2019. ,
End-to-End Instance Segmentation with Recurrent Attention, Conference on Computer Vision and Pattern Recognition (CVPR), pp.293-301, 2017. ,
Figure/Ground Assignment in Natural Images, European Conference on Computer Vision (ECCV) Part II, vol.3952, pp.614-627, 2006. ,
Recurrent Instance Segmentation, European Conference on Computer Vision (ECCV) Part VI, vol.9910, pp.312-329, 2016. ,
U-Net: Convolutional Networks for Biomedical Image Segmentation, Lecture Notes in Computer Science, pp.234-241, 2015. ,
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes, Conference on Computer Vision and Pattern Recognition (CVPR), pp.3234-3243, 2016. ,
ImageNet Large Scale Visual Recognition Challenge, International Journal of Computer Vision (IJCV), vol.115, issue.3, pp.211-252, 2015. ,
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network, Conference on Computer Vision and Pattern Recognition (CVPR), pp.1874-1883, 2016. ,
Very Deep Convolutional Networks for Large-Scale Image Recognition, International Conference on Learning Representations (ICLR), 2006. ,
Local Layering for Joint Motion Estimation and Occlusion Detection, Conference on Computer Vision and Pattern Recognition (CVPR), pp.1098-1105, 2014. ,
Quantized Densely Connected U-Nets for Efficient Landmark Localization, European Conference on Computer Vision (ECCV) Part III, vol.11207, pp.348-364, 2018. ,
DOOBNet: Deep Object Occlusion Boundary Detection from an Image, Asian Conference on Computer Vision (ACCV) Part VI, vol.11366, pp.686-702, 2018. ,
DOC: Deep OCclusion Estimation from a Single Image, European Conference on Computer Vision (ECCV) Part I, vol.9905, pp.545-561, 2016. ,
Understanding Convolution for Semantic Segmentation, Winter Conference on Applications of Computer Vision (WACV), pp.1451-1460, 2018. ,
Deep Crisp Boundaries, Conference on Computer Vision and Pattern Recognition (CVPR), pp.1724-1732, 2017. ,
Estimating Disparity and Occlusions in Stereo Video Sequences, Conference on Computer Vision and Pattern Recognition (CVPR), pp.250-257, 2011. ,
Holistically-Nested Edge Detection, International Conference on Computer Vision (ICCV), pp.1395-1403, 2015. ,
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network, Conference on Computer Vision and Pattern Recognition (CVPR), pp.193-202, 2016. ,
, How transferable are features in deep neural networks? In: Advances in Neural Information Processing Systems (NIPS), pp.3320-3328, 2014.
Multi-Scale Context Aggregation by Dilated Convolutions, International Conference on Learning Representations, 2016. ,
Slimmable Neural Networks, International Conference on Learning Representations, 2019. ,
Simultaneous Edge Alignment and Learning, European Conference on Computer Vision (ECCV) Part III, vol.11207, pp.400-417, 2018. ,
Dual Graph Convolutional Network for Semantic Segmentation, British Machine Vision Conference, 2019. ,
Semantic Amodal Segmentation, Conference on Computer Vision and Pattern Recognition (CVPR), pp.3001-3009, 2017. ,
A Cooperative Algorithm for Stereo Matching and Occlusion Detection, IEEE Transactions on Pattern Analysis Machine Intelligence (TPAMI), vol.22, issue.7, pp.675-684, 2000. ,