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ORCIDDietmar Saupe
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- affiliation: University of Konstanz, Germany
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2020 – today
- 2024
[j46]Shaolin Su
, Hanhe Lin, Vlad Hosu, Oliver Wiedemann, Jinqiu Sun, Yu Zhu, Hantao Liu, Yanning Zhang, Dietmar Saupe:
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model. IEEE Trans. Multim. 26: 2671-2685 (2024)- [c93]Mohsen Jenadeleh, Alexander Heß, Simon Hviid Del Pin, Edwin Gamboa, Matthias Hirth, Dietmar Saupe:
Impact of feedback on crowdsourced visual quality assessment with paired comparisons. QoMEX 2024: 125-131 - [c92]Dietmar Saupe, Simon Hviid Del Pin:
National differences in image quality assessment: An investigation on three large-scale IQA datasets. QoMEX 2024: 214-220 - [c91]Mohsen Jenadeleh, Frederik L. Dennig, René Cutura, Quynh Quang Ngo, Daniel A. Keim, Michael Sedlmair, Dietmar Saupe:
An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling. QoMEX 2024: 278-281 - 2023
- [j45]Xin Zhao, Jianxun Lou, Xinbo Wu, Yingying Wu, Lucie Lévêque, Xiaochang Liu, Pengfei Guo, Yipeng Qin, Hanhe Lin, Dietmar Saupe, Hantao Liu:
CUDAS: Distortion-Aware Saliency Benchmark. IEEE Access 11: 58025-58036 (2023) - [j44]Oliver Wiedemann, Vlad Hosu, Shaolin Su, Dietmar Saupe:
Konx: cross-resolution image quality assessment. Qual. User Exp. 8(1) (2023) - [c90]Mohsen Jenadeleh, Johannes Zagermann, Harald Reiterer, Ulf-Dietrich Reips, Raouf Hamzaoui, Dietmar Saupe:
Relaxed forced choice improves performance of visual quality assessment methods. QoMEX 2023: 37-42 - [c89]Michela Testolina, Vlad Hosu, Mohsen Jenadeleh, Davi Lazzarotto, Dietmar Saupe, Touradj Ebrahimi:
JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range. QoMEX 2023: 55-60 - [c88]Guangan Chen, Hanhe Lin, Oliver Wiedemann, Dietmar Saupe:
Localization of Just Noticeable Difference for Image Compression. QoMEX 2023: 61-66 - [i21]Mohsen Jenadeleh, Johannes Zagermann, Harald Reiterer, Ulf-Dietrich Reips, Raouf Hamzaoui, Dietmar Saupe:
Relaxed forced choice improves performance of visual quality assessment methods. CoRR abs/2305.00220 (2023) - [i20]Guangan Chen, Hanhe Lin, Oliver Wiedemann, Dietmar Saupe:
Localization of Just Noticeable Difference for Image Compression. CoRR abs/2306.07678 (2023) - 2022
- [j43]Jianxun Lou, Hanhe Lin, David Marshall, Dietmar Saupe, Hantao Liu:
TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing 494: 455-467 (2022) - [j42]Hanhe Lin, Guangan Chen, Mohsen Jenadeleh, Vlad Hosu, Ulf-Dietrich Reips, Raouf Hamzaoui, Dietmar Saupe:
Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference. IEEE Trans. Circuits Syst. Video Technol. 32(9): 5859-5873 (2022) - [c87]Hanhe Lin, Hui Men, Yijun Yan, Jinchang Ren, Dietmar Saupe:
Crowdsourced Quality Assessment of Enhanced Underwater Images - a Pilot Study. QoMEX 2022: 1-4 - [i19]Shaolin Su, Hanhe Lin, Vlad Hosu, Oliver Wiedemann, Jinqiu Sun, Yu Zhu, Hantao Liu, Yanning Zhang, Dietmar Saupe:
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model. CoRR abs/2207.04904 (2022) - [i18]Oliver Wiedemann, Vlad Hosu, Shaolin Su, Dietmar Saupe:
KonX: Cross-Resolution Image Quality Assessment. CoRR abs/2212.05813 (2022) - 2021
- [j41]Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe:
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild. IEEE Access 9: 72139-72160 (2021) - [j40]Hui Men, Hanhe Lin, Mohsen Jenadeleh, Dietmar Saupe:
Subjective Image Quality Assessment With Boosted Triplet Comparisons. IEEE Access 9: 138939-138975 (2021) - [c86]Shaolin Su, Vlad Hosu, Hanhe Lin, Yanning Zhang, Dietmar Saupe:
KonIQ++: Boosting No-Reference Image Quality Assessment in the Wild by Jointly Predicting Image Quality and Defects. BMVC 2021: 330 - [i17]Hui Men, Hanhe Lin, Mohsen Jenadeleh, Dietmar Saupe:
Subjective Image Quality Assessment with Boosted Triplet Comparisons. CoRR abs/2108.00201 (2021) - [i16]Jianxun Lou, Hanhe Lin, David Marshall, Dietmar Saupe, Hantao Liu:
TranSalNet: Visual saliency prediction using transformers. CoRR abs/2110.03593 (2021) - 2020
- [j39]Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe:
SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning. Qual. User Exp. 5(1) (2020) - [j38]Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe:
Subjective annotation for a frame interpolation benchmark using artefact amplification. Qual. User Exp. 5(1) (2020) - [j37]Mohsen Jenadeleh, Marius Pedersen, Dietmar Saupe:
Blind Quality Assessment of Iris Images Acquired in Visible Light for Biometric Recognition. Sensors 20(5): 1308 (2020) - [j36]Vlad Hosu, Hanhe Lin, Tamás Szirányi, Dietmar Saupe:
KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment. IEEE Trans. Image Process. 29: 4041-4056 (2020) - [c85]Oliver Wiedemann, Dietmar Saupe:
Gaze Data for Quality Assessment of Foveated Video. ETRA Adjunct 2020: 35:1-35:2 - [c84]Xin Zhao, Hanhe Lin, Pengfei Guo, Dietmar Saupe, Hantao Liu:
Deep Learning VS. Traditional Algorithms for Saliency Prediction of Distorted Images. ICIP 2020: 156-160 - [c83]Hanhe Lin, Mohsen Jenadeleh, Guangan Chen, Ulf-Dietrich Reips, Raouf Hamzaoui, Dietmar Saupe:
Subjective Assessment of Global Picture-Wise Just Noticeable Difference. ICME Workshops 2020: 1-6 - [c82]Tanaya Guha, Vlad Hosu, Dietmar Saupe, Bastian Goldlücke, Naveen Kumar, Weisi Lin, Victor R. Martinez, Krishna Somandepalli, Shrikanth Narayanan, Wen-Huang Cheng, Kree McLaughlin, Hartwig Adam, John See, Lai-Kuan Wong:
ATQAM/MAST'20: Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends. ACM Multimedia 2020: 4758-4760 - [c81]Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe:
Visual Quality Assessment for Interpolated Slow-Motion Videos Based on a Novel Database. QoMEX 2020: 1-6 - [c80]Oliver Wiedemann, Vlad Hosu, Hanhe Lin, Dietmar Saupe:
Foveated Video Coding for Real-Time Streaming Applications. QoMEX 2020: 1-6 - [i15]Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe:
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning. CoRR abs/2001.02002 (2020) - [i14]Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe:
Subjective Annotation for a Frame Interpolation Benchmark using Artifact Amplification. CoRR abs/2001.06409 (2020) - [i13]Hanhe Lin, Vlad Hosu, Dietmar Saupe:
DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning. CoRR abs/2001.08113 (2020) - [i12]Franz Götz-Hahn, Vlad Hosu, Dietmar Saupe:
Comment on "No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features". CoRR abs/2005.04400 (2020) - [i11]Franz Götz-Hahn, Vlad Hosu, Dietmar Saupe:
Critical analysis on the reproducibility of visual quality assessment using deep features. CoRR abs/2009.05369 (2020)
2010 – 2019
- 2019
- [j35]Marc Spicker, Franz Götz-Hahn, Thomas Lindemeier, Dietmar Saupe, Oliver Deussen:
Quantifying Visual Abstraction Quality for Computer-Generated Illustrations. ACM Trans. Appl. Percept. 16(1): 5:1-5:20 (2019) - [c79]Vlad Hosu, Bastian Goldlücke, Dietmar Saupe:
Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features. CVPR 2019: 9375-9383 - [c78]Dietmar Saupe, Alexander Artiga Gonzalez, Ramona Burger, Chris R. Abbiss:
Empirical Analysis of Pacing in Road Cycling. MMSports@MM 2019: 74-81 - [c77]Chunling Fan, Hanhe Lin, Vlad Hosu, Yun Zhang, Qingshan Jiang, Raouf Hamzaoui, Dietmar Saupe:
SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning. QoMEX 2019: 1-6 - [c76]Hanhe Lin, Vlad Hosu, Dietmar Saupe:
KADID-10k: A Large-scale Artificially Distorted IQA Database. QoMEX 2019: 1-3 - [c75]Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andrés Bruhn, Dietmar Saupe:
Visual Quality Assessment for Motion Compensated Frame Interpolation. QoMEX 2019: 1-6 - [i10]Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andrés Bruhn, Dietmar Saupe:
Technical Report on Visual Quality Assessment for Frame Interpolation. CoRR abs/1901.05362 (2019) - [i9]Vlad Hosu, Bastian Goldlücke, Dietmar Saupe:
Effective Aesthetics Prediction with Multi-level Spatially Pooled Features. CoRR abs/1904.01382 (2019) - [i8]Markus Wagner, Hanhe Lin, Shujun Li, Dietmar Saupe:
Algorithm Selection for Image Quality Assessment. CoRR abs/1908.06911 (2019) - [i7]Vlad Hosu, Hanhe Lin, Tamás Szirányi, Dietmar Saupe:
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment. CoRR abs/1910.06180 (2019) - [i6]Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe:
No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features. CoRR abs/1912.07966 (2019) - 2018
- [c74]Mohsen Jenadeleh, Marius Pedersen, Dietmar Saupe:
Realtime Quality Assessment of Iris Biometrics Under Visible Light. CVPR Workshops 2018: 443-452 - [c73]Domonkos Varga, Dietmar Saupe, Tamás Szirányi:
Deeprn: A Content Preserving Deep Architecture for Blind Image Quality Assessment. ICME 2018: 1-6 - [c72]Vlad Hosu, Hanhe Lin, Dietmar Saupe:
Expertise screening in crowdsourcing image quality. QoMEX 2018: 1-6 - [c71]Hui Men, Hanhe Lin, Dietmar Saupe:
Spatiotemporal Feature Combination Model for No-Reference Video Quality Assessment. QoMEX 2018: 1-3 - [c70]Oliver Wiedemann, Vlad Hosu, Hanhe Lin, Dietmar Saupe:
Disregarding the Big Picture: Towards Local Image Quality Assessment. QoMEX 2018: 1-6 - [i5]Hanhe Lin, Vlad Hosu, Dietmar Saupe:
KonIQ-10k: Towards an ecologically valid and large-scale IQA database. CoRR abs/1803.08489 (2018) - 2017
- [j34]Chris R. Abbiss, Dietmar Saupe:
Editorial: Special Issue on Modeling in Endurance Sports. Int. J. Comput. Sci. Sport 16(2): 76-77 (2017) - [j33]Stefan Wolf, Dietmar Saupe:
How to Stay Ahead of the Pack: Optimal Road Cycling Strategies for two Cooperating Riders. Int. J. Comput. Sci. Sport 16(2): 88-100 (2017) - [c69]Marc Spicker, Franz Hahn, Thomas Lindemeier, Dietmar Saupe, Oliver Deussen:
Quantifying visual abstraction quality for stipple drawings. NPAR@Expressive 2017: 8:1-8:10 - [c68]Vlad Hosu, Franz Hahn, Mohsen Jenadeleh, Hanhe Lin, Hui Men, Tamás Szirányi, Shujun Li, Dietmar Saupe:
The Konstanz natural video database (KoNViD-1k). QoMEX 2017: 1-6 - [c67]Hui Men, Hanhe Lin, Dietmar Saupe:
Empirical evaluation of no-reference VQA methods on a natural video quality database. QoMEX 2017: 1-3 - 2016
- [j32]Rahul C. Basole, Dietmar Saupe:
Sports Data Visualization [Guest editors' introduction]. IEEE Computer Graphics and Applications 36(5): 24-26 (2016) - [j31]Igor Zingman, Dietmar Saupe, Otávio Augusto Bizetto Penatti, Karsten Lambers:
Detection of Fragmented Rectangular Enclosures in Very High Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 54(8): 4580-4593 (2016) - [c66]Stefan Wolf, Raphael Bertschinger, Dietmar Saupe:
Road Cycling Climbs Made Speedier by Personalized Pacing Strategies. icSPORTS 2016: 109-114 - [c65]Alexander Artiga Gonzalez, Raphael Bertschinger, Dietmar Saupe:
Modeling V?O2 and V?CO2 with Hammerstein-Wiener Models. icSPORTS 2016: 134-140 - [c64]Vlad Hosu, Franz Hahn, Oliver Wiedemann, Sung-Hwan Jung, Dietmar Saupe:
Saliency-driven image coding improves overall perceived JPEG quality. PCS 2016: 1-5 - 2015
- [j30]Juan Carlos Quintana-Duque, Thorsten Dahmen, Dietmar Saupe:
Estimation of Torque Variation from Pedal Motion in Cycling. Int. J. Comput. Sci. Sport 14(1) (2015) - [j29]Kongfeng Zhu, Chengqing Li, Vijayan K. Asari, Dietmar Saupe:
No-Reference Video Quality Assessment Based on Artifact Measurement and Statistical Analysis. IEEE Trans. Circuits Syst. Video Technol. 25(4): 533-546 (2015) - [c63]Igor Zingman, Dietmar Saupe, Karsten Lambers:
Detection of incomplete enclosures of rectangular shape in remotely sensed images. CVPR Workshops 2015: 87-96 - [c62]Ujwal Gadiraju, Sebastian Möller, Martin Nöllenburg, Dietmar Saupe, Sebastian Egger-Lampl, Daniel Archambault, Brian D. Fisher:
Crowdsourcing Versus the Laboratory: Towards Human-Centered Experiments Using the Crowd. Crowdsourcing and Human-Centered Experiments 2015: 6-26 - [c61]Sebastian Egger-Lampl, Judith Redi, Tobias Hoßfeld, Matthias Hirth, Sebastian Möller, Babak Naderi, Christian Keimel, Dietmar Saupe:
Crowdsourcing Quality of Experience Experiments. Crowdsourcing and Human-Centered Experiments 2015: 154-190 - [c60]Alexander Artiga Gonzalez, Raphael Bertschinger, Fabian Brosda, Thorsten Dahmen, Patrick Thumm, Dietmar Saupe:
Modeling Oxygen Dynamics under Variable Work Rate. icSPORTS 2015: 198-207 - [c59]Juan Carlos Quintana-Duque, Dietmar Saupe:
Phase registration improves classification and clustering of cycles based on self-organizing maps. iWOAR 2015: 5:1-5:6 - 2014
- [j28]Igor Zingman, Dietmar Saupe, Karsten Lambers:
A morphological approach for distinguishing texture and individual features in images. Pattern Recognit. Lett. 47: 129-138 (2014) - [c58]Kongfeng Zhu, Marcus Barkowsky, Minmin Shen, Patrick Le Callet, Dietmar Saupe:
Optimizing feature pooling and prediction models of VQA algorithms. ICIP 2014: 541-545 - 2013
- [c57]Kongfeng Zhu, Keigo Hirakawa, Vijayan K. Asari, Dietmar Saupe:
A no-reference video quality assessment based on Laplacian pyramids. ICIP 2013: 49-53 - [c56]Kongfeng Zhu, Dietmar Saupe:
Performance evaluation of HD camcorders: measuring texture distortions using Gabor filters and spatio-velocity CSF. IQSP 2013: 86530A - [c55]Igor Zingman, Dietmar Saupe, Karsten Lambers:
Detection of Texture and Isolated Features Using Alternating Morphological Filters. ISMM 2013: 440-451 - [i4]Koen A. P. M. Lemmink, Stuart Morgan, Jaime Sampaio, Dietmar Saupe:
Computer Science in High Performance Sport - Applications and Implications for Professional Coaching (Dagstuhl Seminar 13272). Dagstuhl Reports 3(7): 29-53 (2013) - 2012
- [c54]Igor Zingman, Dietmar Saupe, Karsten Lambers:
Morphological operators for segmentation of high contrast textured regions in remotely sensed imagery. IGARSS 2012: 3451-3454 - [c53]Kongfeng Zhu, Shujun Li, Dietmar Saupe:
An objective method of measuring texture preservation for camcorder performance evaluation. IQSP 2012: 829304 - [i3]Shujun Li, Andreas Karrenbauer, Dietmar Saupe, C.-C. Jay Kuo:
Recovering Missing Coefficients in DCT-Transformed Images. CoRR abs/1209.1673 (2012) - 2011
- [c52]Shujun Li, Andreas Karrenbauer, Dietmar Saupe, C.-C. Jay Kuo:
Recovering missing coefficients in DCT-transformed images. ICIP 2011: 1537-1540 - [e9]Abraham Bernstein, Steffen Hölldobler, Günter Hotz, Klaus-Peter Löhr, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Dietmar Saupe, Myra Spiliopoulou, Harald Störrle, Dorothea Wagner:
Ausgezeichnete Informatikdissertationen 2010. LNI D-11, GI 2011, ISBN 978-3-88579-415-8 [contents] - 2010
- [j27]Thorsten Dahmen, Dietmar Saupe:
Calibration of a Power-Speed-Model for Road Cycling Using Real Power and Height Data. Int. J. Comput. Sci. Sport 10(2) (2010) - [j26]Mauro R. Ruggeri, Giuseppe Patanè, Michela Spagnuolo, Dietmar Saupe:
Spectral-Driven Isometry-Invariant Matching of 3D Shapes. Int. J. Comput. Vis. 89(2-3): 248-265 (2010) - [j25]Ioan Cleju, Dietmar Saupe:
Evaluation of texture registration by epipolar geometry. Vis. Comput. 26(11): 1407-1420 (2010) - [c51]Shujun Li, Junaid Jameel Ahmad, Dietmar Saupe, C.-C. Jay Kuo:
An improved DC recovery method from AC coefficients of DCT-transformed images. ICIP 2010: 2085-2088 - [e8]Abraham Bernstein, Steffen Hölldobler, Günter Hotz, Klaus-Peter Löhr, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Dietmar Saupe, Myra Spiliopoulou, Harald Störrle, Dorothea Wagner:
Ausgezeichnete Informatikdissertationen 2009. LNI D-10, GI 2010, ISBN 978-3-88579-414-1 [contents] - [e7]Abraham Bernstein, Thomas Dreier, Steffen Hölldobler, Günter Hotz, Klaus-Peter Löhr, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Dietmar Saupe, Myra Spiliopoulou, Harald Störrle, Dorothea Wagner:
Ausgezeichnete Informatikdissertationen 2008. LNI D-9, GI 2010, ISBN 978-3-88579-413-4 [contents] - [i2]Shujun Li, Junaid Jameel Ahmad, Dietmar Saupe, C.-C. Jay Kuo:
An Improved DC Recovery Method from AC Coefficients of DCT-Transformed Images. CoRR abs/1002.1727 (2010)
2000 – 2009
- 2009
- [c50]Hongwei Zheng, Ioan Cleju, Dietmar Saupe:
Highly-Automatic MI Based Multiple 2D/3D Image Registration Using Self-initialized Geodesic Feature Correspondences. ACCV (3) 2009: 426-435 - [c49]Hongwei Zheng, Dietmar Saupe:
Complex 3D shape recovery using hybrid geometric shape features in a hierarchical shape segmentation approach. ICCV Workshops 2009: 1662-1669 - 2008
- [j24]Tilo Ochotta, Dietmar Saupe:
Image-Based Surface Compression. Comput. Graph. Forum 27(6): 1647-1663 (2008) - [c48]Mauro R. Ruggeri, Dietmar Saupe:
Isometry-invariant Matching of Point Set Surfaces. 3DOR@Eurographics 2008: 17-24 - [e6]Abraham Bernstein, Thomas Dreier, Steffen Hölldobler, Günter Hotz, Klaus-Peter Löhr, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Dietmar Saupe, Myra Spiliopoulou, Harald Störrle, Dorothea Wagner:
Ausgezeichnete Informatikdissertationen 2007. LNI D-8, GI 2008, ISBN 978-3-88579-412-7 [contents] - [e5]Oliver Deussen, Daniel A. Keim, Dietmar Saupe:
13th International Fall Workshop on Vision, Modeling, and Visualization, VMV 2008, Konstanz, Germany, October 8-10, 2008. Aka GmbH 2008, ISBN 978-3-89838-609-8 [contents] - [i1]Thorsten Dahmen, Dietmar Saupe:
Acquisition of Performance Parameters in Race-Bike Training. Computer Science in Sport - Mission and Methods 2008 - 2007
- [j23]Dieter W. Fellner, Dietmar Saupe, Harald Krottmaier:
Guest Editors' Introduction: 3D Documents. IEEE Computer Graphics and Applications 27(4): 20-21 (2007) - [j22]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck:
Content-Based 3D Object Retrieval. IEEE Computer Graphics and Applications 27(4): 22-27 (2007) - [j21]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Andrada Tatu:
Methoden und Benutzerschnittstellen für effektives Retrieval in 3D-Datenbanken. Datenbank-Spektrum 7(20): 23-32 (2007) - [c47]Ioan Cleju, Dietmar Saupe:
Stochastic Optimization of Multiple Texture Registration Using Mutual Information. DAGM-Symposium 2007: 517-526 - 2006
- [j20]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic:
An experimental effectiveness comparison of methods for 3D similarity search. Int. J. Digit. Libr. 6(1): 39-54 (2006) - [j19]Tal Darom, Mauro R. Ruggeri, Dietmar Saupe, Nahum Kiryati:
Compression of textured surfaces represented as surfel sets. Signal Process. Image Commun. 21(9): 770-786 (2006) - [c46]Ioan Cleju, Dietmar Saupe:
Evaluation of supra-threshold perceptual metrics for 3D models. APGV 2006: 41-44 - [c45]Mauro R. Ruggeri, Tal Darom, Dietmar Saupe, Nahum Kiryati:
Approximating Geodesics on Point Set Surfaces. PBG@SIGGRAPH 2006: 85-93 - [e4]Abraham Bernstein, Thomas Dreier, Steffen Hölldobler, Günter Hotz, Klaus-Peter Löhr, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Dietmar Saupe, Myra Spiliopoulou, Dorothea Wagner:
Ausgezeichnete Informatikdissertationen 2005. LNI D-6, GI 2006, ISBN 978-3-88579-410-3 [contents] - 2005
- [j18]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic:
Feature-based similarity search in 3D object databases. ACM Comput. Surv. 37(4): 345-387 (2005) - [c44]Tal Darom, Mauro R. Ruggeri, Dietmar Saupe, Nahum Kiryati:
Processing of textured surfaces represented as surfel sets: representation, compression and geodesic paths. ICIP (1) 2005: 605-608 - [e3]Thomas Dreier, Oliver Günther, Steffen Hölldobler, Klaus-Peter Löhr, Paul Molitor, Rüdiger Reischuk, Dietmar Saupe, Dorothea Wagner:
Ausgezeichnete Informatikdissertationen 2004. LNI D-5, GI 2005, ISBN 3-88579-409-8 [contents] - 2004
- [b5]Heinz-Otto Peitgen, Hartmut Jürgens, Dietmar Saupe:
Chaos and fractals - new frontiers of science (2. ed.). Springer 2004, ISBN 978-0-387-20229-7, pp. I-XIII, 1-864 - [j17]Jarke J. van Wijk, Dietmar Saupe:
Image based rendering of iterated function systems. Comput. Graph. 28(6): 937-943 (2004) - [j16]Oliver Deussen, Heinrich Müller, Dietmar Saupe, Hans-Peter Seidel:
Graphische Datenverarbeitung. Inform. Spektrum 27(6): 495 (2004) - [c43]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic:
An Experimental Comparison of Feature-Based 3D Retrieval Methods. 3DPVT 2004: 215-222 - [c42]Mauro R. Ruggeri, Dejan V. Vranic, Dietmar Saupe:
Shape Similarity Search for Surfelbased Models. ICCVG 2004: 131-140 - [c41]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic:
Using entropy impurity for improved 3D object similarity search. ICME 2004: 1303-1306 - [c40]