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Karl Pauwels
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2010 – 2019
- 2016
- [j14]Karl Pauwels, Leonardo Rubio, Eduardo Ros
:
Real-Time Pose Detection and Tracking of Hundreds of Objects. IEEE Trans. Circuits Syst. Video Technol. 26(12): 2200-2214 (2016) - [c17]Karl Pauwels, Danica Kragic:
Integrated on-line robot-camera calibration and object pose estimation. ICRA 2016: 2332-2339 - [i1]Florian T. Pokorny, Yasemin Bekiroglu, Karl Pauwels, Judith Bütepage, Clara Scherer, Danica Kragic:
CapriDB - Capture, Print, Innovate: A Low-Cost Pipeline and Database for Reproducible Manipulation Research. CoRR abs/1610.05175 (2016) - 2015
- [c16]Piiren Giiler, Karl Pauwels, Alessandro Pieropan, Hedvig Kjellström, Danica Kragic:
Estimating the deformability of elastic materials using optical flow and position-based dynamics. Humanoids 2015: 965-971 - [c15]Karl Pauwels, Danica Kragic:
SimTrack: A simulation-based framework for scalable real-time object pose detection and tracking. IROS 2015: 1300-1307 - [c14]Francisco Eli Vina Barrientos, Yiannis Karayiannidis
In-hand manipulation using gravity and controlled slip. IROS 2015: 5636-5641 - 2014
- [c13]Karl Pauwels
Real-Time Model-Based Articulated Object Pose Detection and Tracking with Variable Rigidity Constraints. CVPR 2014: 3994-4001 - [c12]Karl Pauwels
Real-time object pose recognition and tracking with an imprecisely calibrated moving RGB-D camera. IROS 2014: 2733-2740 - [c11]Alessandro Pieropan, Giampiero Salvi
Audio-visual classification and detection of human manipulation actions. IROS 2014: 3045-3052 - [c10]Püren Güler, Yasemin Bekiroglu
What's in the container? Classifying object contents from vision and touch. IROS 2014: 3961-3968 - 2013
- [j13]Qi Zhu
Dissimilar processing of emotional facial expressions in human and monkey temporal cortex. NeuroImage 66: 402-411 (2013) - [j12]Iole Indovina
Simulated self-motion in a visual gravity field: Sensitivity to vertical and horizontal heading in the human brain. NeuroImage 71: 114-124 (2013) - [c9]Karl Pauwels
Real-Time Model-Based Rigid Object Pose Estimation and Tracking Combining Dense and Sparse Visual Cues. CVPR 2013: 2347-2354 - 2012
- [j11]Karl Pauwels
Head-Centric Disparity and Epipolar Geometry Estimation from a Population of Binocular Energy Neurons. Int. J. Neural Syst. 22(3) (2012) - [j10]Karl Pauwels
A Comparison of FPGA and GPU for Real-Time Phase-Based Optical Flow, Stereo, and Local Image Features. IEEE Trans. Computers 61(7): 999-1012 (2012) - [j9]Alexey Abramov, Karl Pauwels
Real-Time Segmentation of Stereo Videos on a Portable System With a Mobile GPU. IEEE Trans. Circuits Syst. Video Technol. 22(9): 1292-1305 (2012) - [c8]Alexey Abramov, Karl Pauwels
Depth-supported real-time video segmentation with the Kinect. WACV 2012: 457-464 - 2011
- [j8]Irene Markelic, Anders Kjær-Nielsen, Karl Pauwels
The Driving School System: Learning Basic Driving Skills From a Teacher in a Real Car. IEEE Trans. Intell. Transp. Syst. 12(4): 1135-1146 (2011) - [j7]Reinhard Klette
Performance of Correspondence Algorithms in Vision-Based Driver Assistance Using an Online Image Sequence Database. IEEE Trans. Veh. Technol. 60(5): 2012-2026 (2011) - 2010
- [j6]Silvio P. Sabatini, Giulia Gastaldi, Fabio Solari
A compact harmonic code for early vision based on anisotropic frequency channels. Comput. Vis. Image Underst. 114(6): 681-699 (2010) - [j5]Lars Baunegaard With Jensen, Anders Kjær-Nielsen, Karl Pauwels
A two-level real-time vision machine combining coarse- and fine-grained parallelism. J. Real Time Image Process. 5(4): 291-304 (2010) - [c7]Nicolas Pugeault, Karl Pauwels, Marc M. Van Hulle, Florian Pilz, Norbert Krüger:
A Three-level Architecture for Model-free Detection and Tracking of Independently Moving Objects. VISAPP (1) 2010: 237-244
2000 – 2009
- 2009
- [j4]Karl Pauwels
Optic flow from unstable sequences through local velocity constancy maximization. Image Vis. Comput. 27(5): 579-587 (2009) - [c6]Emre Baseski, Lars Baunegaard With Jensen, Nicolas Pugeault, Florian Pilz, Karl Pauwels, Marc M. Van Hulle, Florentin Wörgötter, Norbert Krüger:
Road Interpretation for Driver Assistance based on an Early Cognitive Vision System. VISAPP (1) 2009: 496-505 - 2008
- [c5]Karl Pauwels
Realtime phase-based optical flow on the GPU. CVPR Workshops 2008: 1-8 - 2007
- [j3]Karl Pauwels
Fixation as a Mechanism for Stabilization of Short Image Sequences. Int. J. Comput. Vis. 72(1): 67-78 (2007) - [c4]Silvio P. Sabatini, Giulia Gastaldi, Fabio Solari, Karl Pauwels, Marc M. Van Hulle, Javier Díaz, Eduardo Ros, Nicolas Pugeault, Norbert Krüger:
Compact (and accurate) early vision processing in the harmonic space. VISAPP (1) 2007: 213-220 - 2006
- [j2]Karl Pauwels
Optimal instantaneous rigid motion estimation insensitive to local minima. Comput. Vis. Image Underst. 104(1): 77-86 (2006) - [c3]Karl Pauwels, Marc M. Van Hulle:
Optic Flow from Unstable Sequences containing Unconstrained Scenes through Local Velocity Constancy Maximization. BMVC 2006: 397-406 - [c2]Jurgen Martens, Karl Pauwels
A neural network approach to the validation of simulation models. WSC 2006: 905-910 - 2005
- [c1]Karl Pauwels, Marc M. Van Hulle:
Robust Instantaneous Rigid Motion Estimation. CVPR (2) 2005: 980-985 - 2004
- [j1]Florentin Wörgötter, Norbert Krüger, Nicolas Pugeault
Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing. Nat. Comput. 3(3): 293-321 (2004)
Coauthor Index
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