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An Effective Two-Branch Model-Based Deep Network for Single Image Deraining.

Y. Wang, D. Gong, J. Yang, Q. Shi, A. van den Hengel, D. Xie, and B. Zeng. CoRR, (2019)

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Nina van den Daele University of Stuttgart

Univ. -Prof. Dr. Joris van Slageren University of Stuttgart

Electrocatalytic proton reduction: Metal based fused diporphyrins with proton relays for efficient catalysisA. Singha Hazari, S. Chandra, Q. Song, D. Hunger, N. Neuman, J. Slageren, E. Klemm, B. Sarkar, and S. Kar. Dataset, (2024)Related to: Chandra, S., Singha Hazari, A., Song, Q., Hunger, D., Neuman, N. I., van Slageren, J., Klemm, E. & Sarkar, B. (2023). Remarkable Enhancement of Catalytic Activity of Cu-Complexes in the Electrochemical Hydrogen Evolution Reaction by Using Triply Fused Porphyrin. ChemSusChem 16, e202201146. doi: 10.1002/cssc.202201146.

Philipp Hengel University of Stuttgart

Michaela Denzel University of Stuttgart

Dr. -Ing. Markus Antoni University of Stuttgart

Other publications of authors with the same name

Fast approximate L∞ minimization: Speeding up robust regression.F. Shen, C. Shen, R. Hill, A. van den Hengel, and Z. Tang. Computational Statistics & Data Analysis, (2014)Toward a Digital Ecosystem: International Symposium on Ubiquitous Virtual Reality 2010.H. Yoon, A. van den Hengel, G. Reitmayr, J. Lifton, S. Lee, and W. Woo. IEEE Pervasive Computing, 10 (2): 90-93 (2011)Mid-level deep pattern mining.Y. Li, L. Liu, C. Shen, and A. van den Hengel. CVPR, page 971-980. IEEE Computer Society, (2015)Incorporating constraints into the design of locally identifiable calibration patterns.A. van den Hengel, R. Hill, and M. Brooks. ICIP (1), page 817-820. (2003)Probabilistic Multiple Cue Integration for Particle Filter Based Tracking.C. Shen, A. van den Hengel, and A. Dick. DICTA, page 399-408. CSIRO Publishing, (2003)Extended depth-of-field via focus stacking and graph cuts.C. Zhang, J. Bastian, C. Shen, A. van den Hengel, and T. Shen. ICIP, page 1272-1276. IEEE, (2013)Non-sparse Linear Representations for Visual Tracking with Online Reservoir Metric LearningX. Li, C. Shen, Q. Shi, A. Dick, and A. van den Hengel. CoRR, (2012)Bridging Category-level and Instance-level Semantic Image Segmentation.Z. Wu, C. Shen, and A. van den Hengel. CoRR, (2016)Learning from Imbalanced Multiclass Sequential Data Streams Using Dynamically Weighted Conditional Random Fields.R. Torres, D. Ranasinghe, Q. Shi, and A. van den Hengel. CoRR, (2016)Exploring Context with Deep Structured models for Semantic Segmentation.G. Lin, C. Shen, A. van den Hengel, and I. Reid. CoRR, (2016)

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Disambiguation of "van den Hengel, Anton"

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An Effective Two-Branch Model-Based Deep Network for Single Image Deraining.

Please choose a person to relate this publication to

Nina van den Daele University of Stuttgart

Univ. -Prof. Dr. Joris van Slageren University of Stuttgart

Philipp Hengel University of Stuttgart

Michaela Denzel University of Stuttgart

Dr. -Ing. Markus Antoni University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "van den Hengel, Anton"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An Effective Two-Branch Model-Based Deep Network for Single Image Deraining.

Please choose a person to relate this publication to

Nina van den Daele University of Stuttgart

Univ. -Prof. Dr. Joris van Slageren University of Stuttgart

Philipp Hengel University of Stuttgart

Michaela Denzel University of Stuttgart

Dr. -Ing. Markus Antoni University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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APA
Chicago
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An Effective Two-Branch Model-Based Deep Network for Single Image Deraining.