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Efficient learning of sparse, distributed, convolutional feature representations for object recognition.

K. Sohn, D. Jung, H. Lee, and A. III. ICCV, page 2643-2650. IEEE Computer Society, (2011)

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Mike Söhner University of Stuttgart

Dr. Felicitas Söhner University of Stuttgart

Other publications of authors with the same name

Channel-Recurrent Variational Autoencoders.W. Shang, K. Sohn, Z. Akata, and Y. Tian. CoRR, (2017)Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit.W. Shang, K. Sohn, H. Lee, and A. Gilbert. SDM, page 243-251. SIAM, (2016)Feature Transfer Learning for Face Recognition With Under-Represented Data.X. Yin, X. Yu, K. Sohn, X. Liu, and M. Chandraker. CVPR, page 5704-5713. Computer Vision Foundation / IEEE, (2019)Attentive Conditional Channel-Recurrent Autoencoding for Attribute-Conditioned Face Synthesis.W. Shang, and K. Sohn. WACV, page 1533-1542. IEEE, (2019)Learning to Disentangle Factors of Variation with Manifold Interaction.S. Reed, K. Sohn, Y. Zhang, and H. Lee. ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1431-1439. JMLR.org, (2014)Attribute2Image: Conditional Image Generation from Visual Attributes.X. Yan, J. Yang, K. Sohn, and H. Lee. CoRR, (2015)Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling.A. Kae, K. Sohn, H. Lee, and E. Learned-Miller. CVPR, page 2019-2026. IEEE Computer Society, (2013)Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild.L. Tran, K. Sohn, X. Yu, X. Liu, and M. Chandraker. CVPR Workshops, page 65-74. Computer Vision Foundation / IEEE, (2019)Learning Structured Output Representation using Deep Conditional Generative Models.K. Sohn, H. Lee, and X. Yan. NIPS, page 3483-3491. (2015)Learning to Adapt Structured Output Space for Semantic Segmentation.Y. Tsai, W. Hung, S. Schulter, K. Sohn, M. Yang, and M. Chandraker. CVPR, page 7472-7481. IEEE Computer Society, (2018)

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Disambiguation of "Sohn, Kihyuk"

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Efficient learning of sparse, distributed, convolutional feature representations for object recognition.

Please choose a person to relate this publication to

Mike Söhner University of Stuttgart

Dr. Felicitas Söhner University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Sohn, Kihyuk"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient learning of sparse, distributed, convolutional feature representations for object recognition.

Please choose a person to relate this publication to

Mike Söhner University of Stuttgart

Dr. Felicitas Söhner University of Stuttgart

Other publications of authors with the same name

Disambiguation

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URL
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Efficient learning of sparse, distributed, convolutional feature representations for object recognition.