Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling

Histograms of Oriented Gradients for Human Detection

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Object recognition from local scale-invariant features

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A fast learning algorithm for deep belief nets

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Indoor segmentation and support inference from rgbd images

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Contour Detection and Hierarchical Image Segmentation

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Linear spatial pyramid matching using sparse coding for image classification

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An analysis of single-layer networks in unsupervised feature learning

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Learning Hierarchical Features for Scene Labeling

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Efficient sparse coding algorithms

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Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

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SIFT Flow: Dense Correspondence across Scenes and Its Applications

Liu, C., Yuen, J., & Torralba, A. B. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.147 · Cited by 1,590 · see citing works

Evaluation of local spatio-temporal features for action recognition

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TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation

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Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis

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Co-regularized Multi-view Spectral Clustering

Kumar, A., Rai, P., & Daumé, H. (2011) · Cited by 927 · see citing works

Multiscale conditional random fields for image labeling

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Decomposing a scene into geometric and semantically consistent regions

Gould, S. J., Fulton, R., & Koller, D. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459211 · Cited by 687 · see citing works

Segmentation Propagation in ImageNet

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Convolutional-Recursive Deep Learning for 3D Object Classification

Socher, R., Huval, B., Bath, B., Manning, C. D., & Ng, A. Y. (2012) · Cited by 507 · see citing works

Indoor scene segmentation using a structured light sensor

Silberman, N., & Fergus, R. (2011) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2011.6130298 · Cited by 485 · see citing works

Object categorization using co-occurrence, location and appearance

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Indoor Semantic Segmentation using depth information

Couprie, C., Farabet, C., Najman, L. A., & LeCun, Y. (2013) · HAL · doi:10.48550/arxiv.1301.3572 · Cited by 451 · see citing works

RGB-(D) scene labeling: Features and algorithms

Ren, X., Bo, L., & Fox, D. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247999 · Cited by 410 · see citing works

Semantic Labeling of 3D Point Clouds for Indoor Scenes

Koppula, H. S., Anand, A., Joachims, T., & Saxena, A. (2011) · neural information processing systems · Cited by 322 · see citing works

ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning

Le, Q. V., Karpenko, A., Ngiam, J., & Ng, A. Y. (2011) · Cited by 283 · see citing works

Pylon Model for Semantic Segmentation

Lempitsky, V., Vedaldi, A., & Zisserman, A. (2011) · Cited by 129 · see citing works

SIFT Flow: Dense Correspondence across Scenes and Its Applications

Liu, C., Yuen, J., Torralba, A. B., & Freeman, W. T. (2011) · The MIT Press eBooks · doi:10.7551/mitpress/8579.003.0031 · Cited by 65 · see citing works

Semantic segmentation of street scenes by superpixel co-occurrence and 3D geometry

Mičušík, B., & Košecká, J. (2009) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2009.5457645 · Cited by 64 · see citing works

Unsupervised multimodal feature learning for semantic image segmentation

Pei, D., Liu, H., Liu, Y., et al. (2013) · 2022 International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2013.6706748 · Cited by 33 · see citing works

Semantic parsing for priming object detection in indoors RGB-D scenes

Cadena, C., & Košecká, J. (2014) · The International Journal of Robotics Research · doi:10.1177/0278364914549488 · Cited by 32 · see citing works

Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture

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A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets

Bayoudh, K., Knani, R., Hamdaoui, F., & Mtibaa, A. (2022) · The Visual Computer · doi:10.1007/s00371-021-02166-7 · Cited by 456 · see citing works

Multi-task Learning Using Multi-modal Encoder-Decoder Networks with Shared Skip Connections

Kuga, R., Kanezaki, A., Samejima, M., Sugano, Y., & Matsushita, Y. (2017) · 2017 IEEE International Conference on Computer Vision Workshops (ICCVW) · doi:10.1109/iccvw.2017.54 · Cited by 36 · see citing works

Segmentation and semantic labelling of RGBD data with convolutional neural networks and surface fitting

Pagnutti, G., Minto, L., & Zanuttigh, P. (2017) · IET Computer Vision · doi:10.1049/iet-cvi.2016.0502 · Cited by 14 · see citing works

Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement

Li, Z., Liu, C., Yuille, A., Ni, B., Zhang, W., & Gao, W. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00964 · Cited by 9 · see citing works

Progressive Stage-wise Learning for Unsupervised Feature Representation EnhancementPreprint

Li, Z., Liu, C., Yuille, A., Ni, B., Zhang, W., & Gao, W. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.05554 · Cited by 1 · see citing works

Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive LearningPreprint

Li, S. C., Zhang, F., Yang, K., et al. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2206.10157 · Cited by 5 · see citing works

Unsupervised Feature Learning and Deep Learning: A Review and New Perspectives

Bengio, Y., Courville, A. C., & Vincent, P. (2012) · Cited by 455 · see citing works

Feature Representation of AutoEncoders for Unsupervised IoT Malware Detection

Nguyen, H. N., Nguyen, V. C., Tran, N. N., & Cao, V. L. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-91387-8_18 · Cited by 7 · see citing works