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spezial:bib [2019/08/21 11:37] haefner |
spezial:bib [2019/09/17 03:43] haefner |
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year = {2019}, | year = {2019}, | ||
note = {(Presented at Symposium on Geometry Processing (SGP)) {<a href=" | note = {(Presented at Symposium on Geometry Processing (SGP)) {<a href=" | ||
+ | } | ||
+ | |||
+ | @inproceedings{sang2020wacv, | ||
+ | title = {Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach}, | ||
+ | author = {Sang, L. and Haefner, B. and Cremers, D.}, | ||
+ | booktitle={IEEE Winter Conference on Applications of Computer Vision (WACV)}, | ||
+ | month={March}, | ||
+ | address={Colorado, | ||
+ | year = {2020}, | ||
+ | award = {}, | ||
+ | titleurl = {sang2020wacv.pdf}, | ||
} | } | ||
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note = { | note = { | ||
{<a href="/ | {<a href="/ | ||
+ | {<a href="/ | ||
{<a href=" | {<a href=" | ||
{<a href=" | {<a href=" | ||
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eprinttype = {arXiv}, | eprinttype = {arXiv}, | ||
keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning, | keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning, | ||
+ | award = {Oral Presentation} | ||
} | } | ||
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@article{gn-net-19, | @article{gn-net-19, | ||
author = "L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers", | author = "L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers", | ||
- | title = " | + | title = " |
journal = {preprint}, | journal = {preprint}, | ||
year = " | year = " | ||
- | note = {{<a href=" | + | note = {{<a href=" |
keywords = {gn-net} | keywords = {gn-net} | ||
} | } | ||
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eprinttype = {arXiv}, | eprinttype = {arXiv}, | ||
eprintclass = {cs.CV}, | eprintclass = {cs.CV}, | ||
+ | } | ||
+ | |||
+ | @inproceedings{jung2019corl, | ||
+ | author = {E. Jung and N. Yang and D. Cremers}, | ||
+ | booktitle = {Conference on Robot Learning (CoRL)}, | ||
+ | title = {{Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light}}, | ||
+ | year = {2019} | ||
} | } |