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spezial:bib [2018/07/13 17:21] Dr. Vladimir Golkov |
spezial:bib [2019/02/21 16:04] Rui Wang |
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| Line 8: | Line 8: | ||
| @STRING{ismar= {International Symposium on Mixed and Augmented Reality}} | @STRING{ismar= {International Symposium on Mixed and Augmented Reality}} | ||
| - | on | + | |
| @STRING{ai = {Artificial Intelligence}} | @STRING{ai = {Artificial Intelligence}} | ||
| Line 7034: | Line 7034: | ||
| booktitle = iros, | booktitle = iros, | ||
| month = sept, | month = sept, | ||
| - | year = {2015}, | + | year = {2015} |
| - | note = {to appear} | + | |
| } | } | ||
| Line 7502: | Line 7501: | ||
| month = mar, | month = mar, | ||
| titleurl = {engel_et_al_pami2018.pdf}, | titleurl = {engel_et_al_pami2018.pdf}, | ||
| - | keywords={mono-ds, | + | keywords={mono-ds, |
| } | } | ||
| Line 7618: | Line 7617: | ||
| @article{Mecca2016Single, | @article{Mecca2016Single, | ||
| - | author={Mecca, | + | author={Mecca, |
| title={{A Single-Lobe Photometric Stereo Approach for Heterogeneous Material}}, | title={{A Single-Lobe Photometric Stereo Approach for Heterogeneous Material}}, | ||
| journal={SIAM Journal on Imaging Sciences}, | journal={SIAM Journal on Imaging Sciences}, | ||
| Line 7659: | Line 7658: | ||
| } | } | ||
| - | @article{Golkov-et-al-arxiv2017-function3d, | + | @inproceedings{Golkov-et-al-arxiv2017-function3d, |
| author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers}, | author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers}, | ||
| title = {3D Deep Learning for Biological Function Prediction from Physical Fields}, | title = {3D Deep Learning for Biological Function Prediction from Physical Fields}, | ||
| year = {2017}, | year = {2017}, | ||
| % howpublished = {Preprint}, | % howpublished = {Preprint}, | ||
| - | % | + | |
| - | % | + | booktitle = {ArXiv preprint}, |
| keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deeplearning}, | keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deeplearning}, | ||
| - | journal = {arXiv preprint arXiv: | ||
| - | eprint = {1234.02555}, | ||
| - | eprinttype = {arXiv}, | ||
| - | eprintclass = {cs.CV}, | ||
| } | } | ||
| Line 7771: | Line 7766: | ||
| @inproceedings{QueauCVPR2017, | @inproceedings{QueauCVPR2017, | ||
| address = {Honlulu, USA}, | address = {Honlulu, USA}, | ||
| - | author = {Queau, Y. and Wu, T. and Lauze, F. and Durou, J.-D. and Cremers, D.}, | + | author = {Quéau, Y. and Wu, T. and Lauze, F. and Durou, J.-D. and Cremers, D.}, |
| booktitle = cvpr, | booktitle = cvpr, | ||
| title = {{A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting}}, | title = {{A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting}}, | ||
| Line 7788: | Line 7783: | ||
| year = " | year = " | ||
| | | ||
| - | note = {{<a href=" | + | note = {{<a href=" |
| | | ||
| } | } | ||
| - | @InProceedings{hazirbas17ddff, | + | @InProceedings{hazirbas18ddff, |
| - | | + | |
| - | | + | |
| - | | + | |
| title = {{<a href=" | title = {{<a href=" | ||
| - | year = "2017", | + | year = "2018", |
| - | | + | month = " |
| + | | ||
| note = {{<a href=" | note = {{<a href=" | ||
| | | ||
| Line 7958: | Line 7952: | ||
| keywords={rgb-d, | keywords={rgb-d, | ||
| note = {{<a href="/ | note = {{<a href="/ | ||
| + | } | ||
| + | |||
| + | |||
| + | @article{Haefner2018, | ||
| + | title = {Photometric Depth Super-Resolution}, | ||
| + | | ||
| + | | ||
| + | year = {2018}, | ||
| + | | ||
| + | note = {{<a href="/ | ||
| + | {<a href=" | ||
| + | keywords={rgb-d, | ||
| + | } | ||
| + | |||
| + | @article{rodola2018funmaprep, | ||
| + | title = {Functional Maps Representation on Product Manifolds}, | ||
| + | | ||
| + | | ||
| + | year = {2019}, | ||
| + | note = {{<a href=" | ||
| + | } | ||
| + | |||
| + | |||
| + | @inproceedings{Haefner2018CVPR, | ||
| + | title = {Fight ill-posedness with ill-posedness: | ||
| + | | ||
| + | | ||
| + | (CVPR)}, | ||
| + | year = {2018}, | ||
| + | | ||
| + | note = {{<a href="/ | ||
| + | {<a href=" | ||
| + | award = {Spotlight Presentation}, | ||
| + | keywords={rgb-d, | ||
| } | } | ||
| Line 7968: | Line 7996: | ||
| award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision}, | award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision}, | ||
| | | ||
| - | note = {{<a href=" | + | note = {{<a href=" |
| + | keywords={rgb-d, | ||
| } | } | ||
| Line 7974: | Line 8003: | ||
| @inproceedings{wang2017stereoDSO, | @inproceedings{wang2017stereoDSO, | ||
| title={Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras}, | title={Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras}, | ||
| - | author={Wang, R. and Schw\" | + | |
| booktitle={International Conference on Computer Vision (ICCV)}, | booktitle={International Conference on Computer Vision (ICCV)}, | ||
| year={2017}, | year={2017}, | ||
| month={October}, | month={October}, | ||
| address={Venice, | address={Venice, | ||
| - | keywords={dso, | + | keywords={dso, |
| - | note = {{<a href="/ | + | note = {{<a href="/ |
| } | } | ||
| Line 8010: | Line 8039: | ||
| title = {How Robots Learn to Classify New Objects Trained from Small Data Sets}, | title = {How Robots Learn to Classify New Objects Trained from Small Data Sets}, | ||
| booktitle | booktitle | ||
| - | year = {2017}, | + | year = {2017} |
| - | note = {to appear} | + | |
| } | } | ||
| Line 8080: | Line 8108: | ||
| titleurl = {bergmann17calibration.pdf}, | titleurl = {bergmann17calibration.pdf}, | ||
| keywords={visual odometry, calibration, | keywords={visual odometry, calibration, | ||
| - | note = {{This paper was also selected by ICRA' | + | note = {{This paper was also selected by ICRA' |
| award = {ICRA' | award = {ICRA' | ||
| } | } | ||
| Line 8125: | Line 8153: | ||
| booktitle = ismrm, | booktitle = ismrm, | ||
| keywords = {novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation}, | keywords = {novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation}, | ||
| + | } | ||
| + | |||
| + | @inproceedings{Swazinna-et-al-ismrm2019, | ||
| + | author = {P. Swazinna and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers}, | ||
| + | title = {Negative-Unlabeled Learning for Diffusion MRI}, | ||
| + | year = {2019}, | ||
| + | booktitle = ismrm, | ||
| + | keywords = {deep learning, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, weakly-supervised learning, positive-unlabeled learning, semi-supervised learning, localization, | ||
| } | } | ||
| Line 8135: | Line 8171: | ||
| } | } | ||
| + | |||
| + | @inproceedings{Do-et-al-2018-pre-miRNA, | ||
| + | author = {B. T. Do and V. Golkov and G. E. G\" | ||
| + | title = {Precursor microRNA Identification Using Deep Convolutional Neural Networks}, | ||
| + | year = {2018}, | ||
| + | % howpublished = {Preprint}, | ||
| + | note = {{<a href=" | ||
| + | booktitle = {bioRxiv preprint}, | ||
| + | keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, deeplearning, | ||
| + | } | ||
| @inproceedings{Aljalbout-et-al-2018, | @inproceedings{Aljalbout-et-al-2018, | ||
| Line 8146: | Line 8192: | ||
| } | } | ||
| - | @InProceedings{haeusser2018associative, | + | @InProceedings{haeusser18associative, |
| author = "P. Haeusser and J. Plapp and V. Golkov and E. Aljalbout and D. Cremers", | author = "P. Haeusser and J. Plapp and V. Golkov and E. Aljalbout and D. Cremers", | ||
| title = " | title = " | ||
| - | booktitle = "under review" | + | booktitle = {Proc. of the German Conference on Pattern Recognition (GCPR)}, |
| - | year = "2018", | + | year = {2018}, |
| - | month = "November", | + | month = "October", |
| - | titleurl = {haeusser2018associative.pdf}, | + | titleurl = {haeusser18associative.pdf}, |
| keywords={Clustering, | keywords={Clustering, | ||
| } | } | ||
| + | |||
| + | |||
| + | |||
| + | |||
| + | |||
| + | |||
| + | |||
| @InProceedings{mayer18synthetic, | @InProceedings{mayer18synthetic, | ||
| Line 8161: | Line 8214: | ||
| booktitle= ijcv, | booktitle= ijcv, | ||
| year = {2018}, | year = {2018}, | ||
| + | month = {September}, | ||
| eprint = {arXiv: | eprint = {arXiv: | ||
| note = {{<a href=" | note = {{<a href=" | ||
| keywords = {deeplearning} | keywords = {deeplearning} | ||
| } | } | ||
| + | |||
| @InProceedings{Frerix-et-al-18, | @InProceedings{Frerix-et-al-18, | ||
| Line 8173: | Line 8228: | ||
| year = " | year = " | ||
| note = {{<a href=" | note = {{<a href=" | ||
| - | } | ||
| - | |||
| - | @inproceedings{Haefner2018CVPR, | ||
| - | title = {Fight ill-posedness with ill-posedness: | ||
| - | | ||
| - | | ||
| - | (CVPR)}, | ||
| - | year = {2018}, | ||
| - | | ||
| - | note = {{<a href="/ | ||
| - | {<a href=" | ||
| - | award = {Spotlight Presentation}, | ||
| } | } | ||
| Line 8233: | Line 8276: | ||
| @InProceedings{laude-et-al-transductive, | @InProceedings{laude-et-al-transductive, | ||
| - | author = "E. Laude and J.-H. Lange and J. Schüpfer | + | author = "E. Laude and J.-H. Lange and J. Sch{\" |
| - | title = " | + | title = " |
| booktitle=cvpr, | booktitle=cvpr, | ||
| year = " | year = " | ||
| Line 8243: | Line 8286: | ||
| title = " | title = " | ||
| booktitle=icra, | booktitle=icra, | ||
| - | year=" | + | year=" |
| - | note= to appear | + | |
| } | } | ||
| @InProceedings{stumberg18vidso, | @InProceedings{stumberg18vidso, | ||
| Line 8252: | Line 8294: | ||
| year = " | year = " | ||
| month = " | month = " | ||
| - | note = {{to appear, }{<a href="/ | + | note = {{<a href="/ |
| keywords={dso, | keywords={dso, | ||
| } | } | ||
| Line 8263: | Line 8305: | ||
| year = " | year = " | ||
| month = " | month = " | ||
| - | note = {accepted, to appear, | + | note = {{<a href=" |
| keywords = tumvi | keywords = tumvi | ||
| } | } | ||
| Line 8273: | Line 8315: | ||
| title = "LDSO: Direct Sparse Odometry with Loop Closure", | title = "LDSO: Direct Sparse Odometry with Loop Closure", | ||
| booktitle = iros, | booktitle = iros, | ||
| - | % | + | |
| year = " | year = " | ||
| month = " | month = " | ||
| - | note = {accepted, to appear}, | + | note = {{<a href=" |
| - | keywords = dso | + | keywords = {dso, ldso} |
| } | } | ||
| Line 8305: | Line 8347: | ||
| booktitle = {Robotics and Automation Letters}, | booktitle = {Robotics and Automation Letters}, | ||
| publisher = {IEEE}, | publisher = {IEEE}, | ||
| - | | + | |
| - | | + | |
| } | } | ||
| Line 8326: | Line 8368: | ||
| month = " | month = " | ||
| award = {Oral Presentation}, | award = {Oral Presentation}, | ||
| + | note = {{<a href=" | ||
| } | } | ||
| Line 8335: | Line 8378: | ||
| month = " | month = " | ||
| award = {Oral Presentation}, | award = {Oral Presentation}, | ||
| - | note = {{<a href=" | + | note = {{<a href=" |
| + | keywords = {dso, dvso, deep learning, deeplearning, | ||
| } | } | ||
| @InProceedings{schubert2018drso, | @InProceedings{schubert2018drso, | ||
| - | author = "D. Schubert | + | author = "D. Schubert and N. Demmel |
| title = " | title = " | ||
| booktitle = eccv, | booktitle = eccv, | ||
| Line 8345: | Line 8389: | ||
| month = " | month = " | ||
| award = {Oral Presentation}, | award = {Oral Presentation}, | ||
| + | note = {{<a href="/ | ||
| + | } | ||
| + | |||
| + | @InProceedings{usenko18double-sphere, | ||
| + | author = "V. Usenko and N. Demmel and D. Cremers", | ||
| + | title = "The Double Sphere Camera Model", | ||
| + | booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)}, | ||
| + | year = " | ||
| + | month = " | ||
| + | eprint = {1807.08957}, | ||
| + | eprinttype = {arXiv}, | ||
| + | eprintclass = {cs.CV}, | ||
| + | note = {{<a href=" | ||
| + | keywords = double-sphere | ||
| } | } | ||
| - | | + | @article{lingni18wcnn, |
| + | author={L. Ma, and J. Stueckler and T. Wu and D. Cremers}, | ||
| + | title={Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform}, | ||
| + | year={2018}, | ||
| + | month={Aug}, | ||
| + | booktitle = " | ||
| + | arXiv = " | ||
| + | note = {{<a href=" | ||
| + | } | ||
| + | |||
| + | @InProceedings{sundermeyer2018eccv, | ||
| + | author = {M. Sundermeyer and Z. Marton and M. Durner and M. Brucker and R. Triebel}, | ||
| + | title = {Implicit 3D Orientation Learning for 6D Object Detection from RGB Images}, | ||
| + | booktitle = eccv, | ||
| + | year = {2018}, | ||
| + | month = {September}, | ||
| + | award = {Best Paper Award}, | ||
| + | } | ||
| + | |||
| + | @InProceedings{denninger18iros, | ||
| + | author = {M. Denninger and R. Triebel}, | ||
| + | title = {Persistent Anytime Learning of Objects from Unseen Classes }, | ||
| + | booktitle = iros, | ||
| + | address = {Madrid, Spain}, | ||
| + | year = 2018, | ||
| + | month = {Oct.}, | ||
| + | award = {Best Cognitive Robotics Paper Finalist}, | ||
| + | } | ||
| + | @InProceedings{grixa18iros, | ||
| + | author = {I. Grixa and P. Schulz and W. St\" | ||
| + | title = {Appearance-Based Along-Route Localization for Planetary Missions}, | ||
| + | booktitle = iros, | ||
| + | address = {Madrid, Spain}, | ||
| + | year = 2018, | ||
| + | month = {Oct.}, | ||
| + | } | ||
| + | |||
| + | @InProceedings{chiotellis2018ilp, | ||
| + | author = {I. Chiotellis and F. Zimmermann and D. Cremers and R. Triebel}, | ||
| + | title = {Incremental Semi-Supervised Learning from Streams for Object Classification}, | ||
| + | booktitle = iros, | ||
| + | address = {Madrid, Spain}, | ||
| + | year = 2018, | ||
| + | month = {Oct.}, | ||
| + | note = {{<a href=" | ||
| + | } | ||
| + | |||
| + | @InProceedings{estellers2018, | ||
| + | author = "V. Estellers and F. Schmidt and D. Cremers", | ||
| + | title = " | ||
| + | booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)}, | ||
| + | year = " | ||
| + | month = " | ||
| + | keywords = " | ||
| + | topic = "Shape Analysis", | ||
| + | award = {Received the Best Paper Award at 3DV 2018}, | ||
| + | note = {{<a href=" | ||
| + | |||
| + | } | ||
| + | |||
| + | @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.} | ||
| + | } | ||
| + | |||
| + | @article{tjaden2018region, | ||
| + | title={A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking}, | ||
| + | author={Tjaden, | ||
| + | journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, | ||
| + | year={2018}, | ||
| + | titleurl = {tjaden_et_al_pami18.pdf} | ||
| + | } | ||
| + | |||
| + | @inproceedings{wenzel18corl, | ||
| + | author = {P. Wenzel and Q. Khan and D. Cremers and L. Leal-Taixé}, | ||
| + | booktitle = {Conference on Robot Learning (CoRL)}, | ||
| + | title = {{Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs}}, | ||
| + | year = {2018}, | ||
| + | note = {{<a href=" | ||
| + | } | ||
| + | |||
| + | @article{Frerix2019, | ||
| + | author = " | ||
| + | title = " | ||
| + | journal = " | ||
| + | primaryClass = " | ||
| + | year = " | ||
| + | note = {{<a href=" | ||
| + | } | ||
