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Ondřej Mikšík

Staple: Complementary Learners for Real-Time Tracking
2016 · Luca Bertinetto, Jack Valmadre, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,776
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The Visual Object Tracking VOT2016 Challenge Results
2016 · Matej Kristan, Aleš Leonardis, et al. · Lecture notes in computer science · 679
The Sixth Visual Object Tracking VOT2018 Challenge Results
2019 · Matej Kristan, Aleš Leonardis, et al. · Lecture notes in computer science · 655
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The Visual Object Tracking VOT2017 Challenge Results
2017 · Matej Kristan, Ales Leonardis, et al. · IEEE International Conference on Computer Vision Workshops · 434
On the Robustness of Semantic Segmentation Models to Adversarial Attacks
2018 · Anurag Arnab, Ondrej Miksik, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 319
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Evaluation of local detectors and descriptors for fast feature matching
2012 · Ondřej Mikšík, Krystian Mikolajczyk · Surrey Research Insight Open Access (The University of Surrey) · 234
Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction
2015 · Vibhav Vineet, Ondrej Miksik, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 199
The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results
2015 · Michael Felsberg, Amanda Berg, et al. · 106
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LaMAR: Benchmarking Localization and Mapping for Augmented Reality
2022 · Paul-Edouard Sarlin, Mihai Dusmanu, et al. · Lecture notes in computer science · 88
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Multi-Modal Sequence Fusion via Recursive Attention for Emotion Recognition
2018 · Rory Beard, Ritwik Das, et al. · Conference on Computational Natural Language Learning · 73
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The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results
2016 · Michael Felsberg, Matej Kristan, et al. · Lecture notes in computer science · 66
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Efficient temporal consistency for streaming video scene analysis
2013 · Ondrej Miksik, Daniel Munoz, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 58
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The Semantic Paintbrush
2015 · Ondrej Miksik, Vibhav Vineet, et al. · 57
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
2016 · Bhatti, Shehroze, Desmaison, Alban, et al. · arXiv (Cornell University) · 43
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Rapid vanishing point estimation for general road detection
2012 · Ondrej Miksik · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 43
Learning to Detect Scene Landmarks for Camera Localization
2022 · Tien Do, Ondrej Miksik, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 40
Real-Time Dense Stereo Matching With ELAS on FPGA-Accelerated Embedded Devices
2018 · Oscar Rahnama, Duncan Frost, et al. · IEEE Robotics and Automation Letters · 35
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Robust detection of shady and highlighted roads for monocular camera based navigation of UGV
2011 · Ondrej Miksik, Petr Petyovsky, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 33
Cross-Descriptor Visual Localization and Mapping
2021 · Mihai Dusmanu, Ondrej Miksik, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 29
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Learning to Simulate Realistic LiDARs
2022 · Benoît Guillard, Sai Vemprala, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 23
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Distributed Non-convex ADMM-based inference in large-scale random fields.
2014 · Ondřej Mikšík, Vibhav Vineet, et al. · 18
Incremental dense multi-modal 3D scene reconstruction
2015 · Ondrej Miksik, Yousef Amar, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 14
SGAligner: 3D Scene Alignment with Scene Graphs
2023 · Sayan Deb Sarkar, Ondrej Miksik, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 13
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A Semi-supervised Deep Generative Model for Human Body Analysis
2019 · Rodrigo de Bem, Arnab Ghosh, et al. · Lecture notes in computer science · 13
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
2022 · Agia, Christopher, Jatavallabhula, Krishna Murthy, et al. · arXiv (Cornell University) · 11
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Works count: 46
Citation count: 5,123
H-index: 20
I10-index: 26
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