Murphy, Kevin

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 22,392

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2016) · arXiv

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 22,392

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2014) · arXiv

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 4,213

LabelMe: A Database and Web-Based Tool for Image Annotation

Russell, B. C., Torralba, A., Murphy, K. P., & Freeman, W. T. (2008) · International Journal of Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 4,210

Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors

Huang, J., Rathod, V., Sun, C., Zhu, M., Korattikara, A., Fathi, A., Fischer, I., Wojna, Z., Song, Y., Guadarrama, S., et al. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,743

Knowledge vault: a web-scale approach to probabilistic knowledge fusion

Dong, X., Gabrilovich, E., Heitz, G., Horn, W., Lao, N., Murphy, K., Strohmann, T., Sun, S., & Zhang, W. (2014) · Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining

Semantic Web and OntologiesTopic Modeling

Cited by 1,533

Knowledge base completion via search-based question answering

West, R., Gabrilovich, E., Murphy, K., Sun, S., Gupta, R., & Lin, D. (2014) · Proceedings of the 23rd international conference on World wide web

Topic ModelingSemantic Web and Ontologies

Cited by 305

NAS-bench-101: Towards reproducible neural architecture search

Ying, C., Klein, A., Real, E., Christiansen, E., Murphy, K., & Hutter, F. (2019) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 297

Progressive Neural Architecture Search

Liu, C., Zoph, B., Neumann, M., Shlens, J., Hua, W., Li, L.-J., Fei-Fei, L., Yuille, A., Huang, J., & Murphy, K. (2017) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 171

Generative Models of Visually Grounded Imagination

Vedantam, R., Fischer, I., Huang, J., & Murphy, K. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 81

Modeling Uncertainty with Hedged Instance Embedding

Oh, S. J., Murphy, K., Pan, J., Roth, J., Schroff, F., & Gallagher, A. (2018) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 55