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spezial:bib [2018/09/15 21:54]
PD Dr. habil. Rudolph Triebel |
spezial:bib [2018/11/14 17:16]
Nan Yang |
| } | } |
| |
| @InProceedings{hazirbas17ddff, | @InProceedings{hazirbas18ddff, |
| author = "Caner Hazirbas and | author = "Caner Hazirbas and Sebastian Georg Soyer and Maximilian Christian Staab and Laura Leal-Taixé and Daniel Cremers", |
| Laura Leal-Taixé and | |
| Daniel Cremers", | |
| title = {{<a href="https://hazirbas.github.io/projects/ddff/" target="_blank">Deep Depth From Focus</a>}}, | title = {{<a href="https://hazirbas.github.io/projects/ddff/" target="_blank">Deep Depth From Focus</a>}}, |
| year = "2017", | year = "2018", |
| booktitle = "ArXiv preprint arXiv:1704.01085", | month = "December", |
| | booktitle = "Asian Conference on Computer Vision (ACCV)", |
| note = {{<a href="https://arxiv.org/abs/1704.01085" target="_blank">[arxiv]</a>}, {<a href="https://vision.in.tum.de/data/datasets/ddff12scene" target="_blank">[dataset]</a>}}, | note = {{<a href="https://arxiv.org/abs/1704.01085" target="_blank">[arxiv]</a>}, {<a href="https://vision.in.tum.de/data/datasets/ddff12scene" target="_blank">[dataset]</a>}}, |
| keywords = {deeplearning}, | keywords = {deeplearning}, |
| keywords={rgb-d,reconstruction,3d-reconstruction,fusion,intrinsic3d}, | keywords={rgb-d,reconstruction,3d-reconstruction,fusion,intrinsic3d}, |
| note = {{<a href="/_media/spezial/bib/maier2017intrinsic3d_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/maier2017intrinsic3d_poster.pdf" target="_blank">[poster]</a> <a href="/data/datasets/intrinsic3d" target="_blank">[dataset]</a>}} | note = {{<a href="/_media/spezial/bib/maier2017intrinsic3d_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/maier2017intrinsic3d_poster.pdf" target="_blank">[poster]</a> <a href="/data/datasets/intrinsic3d" target="_blank">[dataset]</a>}} |
| | } |
| | |
| | |
| | @article{Haefner2018, |
| | title = {Photometric Depth Super-Resolution}, |
| | author = {Haefner, B. and Peng, S. and Verma, A. and Quéau, Y. and Cremers, D.}, |
| | journal = {{Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Special Issue on RGB-D Vision: Methods and Applications}}, |
| | year = {2018}, |
| | titleurl = {haefner2018.pdf}, |
| | note = {{<a href="/_media/spezial/bib/haefner2018supp.pdf" target="_blank">[supp]</a>} |
| | {<a href="http://arxiv.org/abs/1809.10097" target="_blank">[arxiv]</a>}}, |
| | } |
| | |
| | @article{rodola2018funmaprep, |
| | title = {Functional Maps Representation on Product Manifolds}, |
| | author = {Rodol\`a, Emanuele and L\"ahner, Zorah and Bronstein, Alex M. and Bronstein, Michael M. and Solomon, Justin}, |
| | journal = {{Submitted to ACM Transactions on Graphics (TOG)}}, |
| | year = {2018}, |
| | note = {{<a href="https://arxiv.org/abs/1809.10940" target="_blank">[arxiv]</a>}}, |
| | } |
| | |
| | |
| | @inproceedings{Haefner2018CVPR, |
| | title = {Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading}, |
| | author = {Haefner, B. and Quéau, Y. and Möllenhoff, T. and Cremers, D.}, |
| | booktitle = {I{EEE} {C}onference on {C}omputer {V}ision and {P}attern {R}ecognition |
| | (CVPR)}, |
| | year = {2018}, |
| | titleurl = {haefner2018cvpr.pdf}, |
| | note = {{<a href="/_media/spezial/bib/haefner2018cvprsupp.pdf" target="_blank">[supp]</a>} {<a href="https://github.com/BjoernHaefner/DepthSRfromShading" target="_blank">[code]</a>} |
| | {<a href="http://openaccess.thecvf.com/content_cvpr_2018/html/Haefner_Fight_Ill-Posedness_With_CVPR_2018_paper.html" target="_blank">[cvf]</a>}{<a href="https://youtu.be/WrEKJeK-Wow?t=52m25s" target="_blank">[video]</a>}}, |
| | award = {Spotlight Presentation}, |
| } | } |
| |
| } | } |
| |
| | |
| | @inproceedings{Do-et-al-2018-pre-miRNA, |
| | author = {B. T. Do and V. Golkov and G. E. G\"urel and D. Cremers}, |
| | title = {Precursor microRNA Identification Using Deep Convolutional Neural Networks}, |
| | year = {2018}, |
| | % howpublished = {Preprint}, |
| | note = {{<a href="https://www.biorxiv.org/content/early/2018/09/16/414656">bioRxiv:414656</a>}}, |
| | booktitle = {bioRxiv preprint}, |
| | keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, deeplearning, biology, gene regulation}, |
| | } |
| |
| @inproceedings{Aljalbout-et-al-2018, | @inproceedings{Aljalbout-et-al-2018, |
| booktitle= ijcv, | booktitle= ijcv, |
| year = {2018}, | year = {2018}, |
| | month = {September}, |
| eprint = {arXiv:1801.06397}, | eprint = {arXiv:1801.06397}, |
| note = {{<a href="https://arxiv.org/abs/1801.06397" target="_blank">arxiv</a>}}, | note = {{<a href="https://arxiv.org/abs/1801.06397" target="_blank">arxiv</a>}}, |
| keywords = {deeplearning} | keywords = {deeplearning} |
| } | } |
| | |
| |
| @InProceedings{Frerix-et-al-18, | @InProceedings{Frerix-et-al-18, |
| year = "2018", | year = "2018", |
| note = {{<a href="https://arxiv.org/abs/1706.04638">arXiv:1706.04638</a>, <a href="https://github.com/tfrerix/proxprop">code</a>}} | note = {{<a href="https://arxiv.org/abs/1706.04638">arXiv:1706.04638</a>, <a href="https://github.com/tfrerix/proxprop">code</a>}} |
| } | |
| |
| @inproceedings{Haefner2018CVPR, | |
| title = {Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading}, | |
| author = {Haefner, B. and Quéau, Y. and Möllenhoff, T. and Cremers, D.}, | |
| booktitle = {I{EEE} {C}onference on {C}omputer {V}ision and {P}attern {R}ecognition | |
| (CVPR)}, | |
| year = {2018}, | |
| titleurl = {haefner2018cvpr.pdf}, | |
| note = {{<a href="/_media/spezial/bib/haefner2018cvprsupp.pdf" target="_blank">[supp]</a>} {<a href="https://github.com/BjoernHaefner/DepthSRfromShading" target="_blank">[code]</a>} | |
| {<a href="http://openaccess.thecvf.com/content_cvpr_2018/html/Haefner_Fight_Ill-Posedness_With_CVPR_2018_paper.html" target="_blank">[cvf]</a>}{<a href="https://youtu.be/WrEKJeK-Wow?t=52m25s" target="_blank">[video]</a>}}, | |
| award = {Spotlight Presentation}, | |
| } | } |
| |
| |
| @InProceedings{laude-et-al-transductive, | @InProceedings{laude-et-al-transductive, |
| author = "E. Laude and J.-H. Lange and J. Schüpfer and C. Domokos and L. Leal-Taixé and F. R. Schmidt and B. Andres and D. Cremers", | author = "E. Laude and J.-H. Lange and J. Sch{\"u}pfer and C. Domokos and L. Leal-Taix{\'e} and F. R. Schmidt and B. Andres and D. Cremers", |
| title = "Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs", | title = "Discrete-Continuous {ADMM} for Transductive Inference in Higher-Order {MRF}s", |
| booktitle=cvpr, | booktitle=cvpr, |
| year = "2018", | year = "2018", |
| year = "2018", | year = "2018", |
| month = "October", | month = "October", |
| note = {{<a href="https://arxiv.org/abs/1808.01111" target="_blank">[arxiv]</a>}}, | note = {{<a href="https://arxiv.org/abs/1808.01111" target="_blank">[arxiv]}{</a><a href="https://youtu.be/LEvOSzyZUvc" target="_blank">[video]</a>}{<a href="https://github.com/tum-vision/LDSO" target="_blank">[code]</a>}{</a><a href="https://vision.in.tum.de/research/vslam/ldso" target="_blank">[project]</a>}}, |
| keywords = {dso, ldso} | keywords = {dso, ldso} |
| } | } |
| month = "September", | month = "September", |
| award = {Oral Presentation}, | award = {Oral Presentation}, |
| note = {{<a href="https://arxiv.org/abs/1807.02570" target="_blank">[arxiv]</a>},{<a href="/_media/spezial/bib/yang2018dvso-supp.pdf"target="_blank">[supplementary]</a>},{<a href="https://youtu.be/sLZOeC9z_tw"target="_blank">[video]</a>}}, | note = {{<a href="https://arxiv.org/abs/1807.02570" target="_blank">[arxiv]</a>},{<a href="/_media/spezial/bib/yang2018dvso-supp.pdf"target="_blank">[supplementary]</a>},{<a href="https://youtu.be/sLZOeC9z_tw"target="_blank">[video]</a>}, {<a href="https://vision.in.tum.de/research/vslam/dvso" target="_blank">[project]</a>}}, |
| keywords = {dso, dvso, deep learning, deeplearning, monocular depth estimation, semi-supervised learning, slam, visual odometry} | keywords = {dso, dvso, deep learning, deeplearning, monocular depth estimation, semi-supervised learning, slam, visual odometry} |
| } | } |
| year = 2018, | year = 2018, |
| month = {Oct.}, | month = {Oct.}, |
| } | award = {Best Cognitive Robotics Paper Finalist}, |
| | } |
| @InProceedings{grixa18iros, | @InProceedings{grixa18iros, |
| author = {I. Grixa and P. Schulz and W. St\"urzl and R. Triebel}, | author = {I. Grixa and P. Schulz and W. St\"urzl and R. Triebel}, |
| } | } |
| |
| | @InProceedings{estellers2018, |
| | author = "V. Estellers and F. Schmidt and D. Cremers", |
| | title = "Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis", |
| | booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)}, |
| | year = "2018", |
| | month = "September", |
| | keywords = "rgb-d", |
| | topic = "Shape Analysis", |
| | award = {Received the Best Paper Award at 3DV 2018}, |
| | note = {{<a href="https://bitbucket.org/ginie/subdivision_surfaces_3dv2018/src/master/" target="_blank">[Code]</a>}} |
| | |
| | } |
| | |
| | @InProceedings{brucker18pose, |
| | author = {M. Brucker and M. Durner and Z.-C. Márton and F. Bálint-Benczédi and M. Sundermeyer and R. Triebel}, |
| | title = {{6DoF} Pose Estimation for Industrial Manipulation based on Synthetic Data}, |
| | booktitle = {International Symposium on Experimental Robotics (ISER) }, |
| | address = {Buenos Aires, Argentina}, |
| | year = 2018, |
| | month = {Nov.} |
| | } |
| | @InProceedings{nissler18simultaneous, |
| | author = {C. Nissler and M. Durner and Z.-C. Márton and R. Triebel}, |
| | title = {Simultaneous Calibration and Mapping}, |
| | booktitle = {International Symposium on Experimental Robotics (ISER) }, |
| | address = {Buenos Aires, Argentina}, |
| | year = 2018, |
| | month = {Nov.} |
| | } |
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