Ales Leonardis

Research output

Research output per year 2007 2014 2015 2016 2017 2022 2023 2023

• 50 Conference contribution
• 27 Article
• 8 Paper
• 2 Chapter
• 4 More
  • 1 Book
  • 1 Commissioned report
  • 1 Editorial
  • 1 Review article

Research output per year

Research output per year

Search results

• 2023

  Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations

  Tanay, T., Leonardis, A. & Maggioni, M., 23 Jun 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 20898-20907 10 p. (Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Electric fuses 100%
  • Restoration 47%
  • Experiments 17%
  15 Downloads (Pure)

• HS-Pose: Hybrid Scope Feature Extraction for Category-Level Object Pose Estimation

  Zheng, L., Wang, C., Sun, Y., Dasgupta, E., Chen, H., Leonardis, A., Zhang, W. & Chang, H. J., 22 Jun 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 17163-17173 11 p. (Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Convolution 100%
  • Feature extraction 78%
  • Experiments 9%
  62 Downloads (Pure)

• Image Denoising and the Generative Accumulation of Photons

  Krull, A., Basevi, H., Salmon, B., Zeug, A., Müller, F., Tonks, S., Muppala, L. & Leonardis, A., 20 Oct 2023, (Accepted/In press) 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, p. 1528-1537 10 p. (IEEE Workshop on Applications of Computer Vision (WACV)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Photons 100%
  • Image denoising 99%
  • Shot noise 31%
  • Fluorescence microscopy 31%
  • Sampling 29%

• Learning Dual-Fused Modality-Aware Representations for RGBD Tracking

  Gao, S., Yang, J., Li, Z., Zheng, F., Leonardis, A. & Song, J., 12 Feb 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). Springer, p. 478-494 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13808 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Modality 100%
  • Object tracking 91%
  • Learning 77%
  • Electric fuses 43%
  • Fusion reactions 34%

• NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction

  Zhang, Z., Song, J., Pérez-Pellitero, E., Zhou, Y., Chang, H. J. & Leonardis, A., 15 Oct 2023, (Accepted/In press) 2024 International Conference on 3D Vision. IEEE, (International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Computer vision 100%
  • Experiments 42%

• On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks

  Jung, H., Ruhkamp, P., Zhai, G., Brasch, N., Li, Y., Verdie, Y., Song, J., Zhou, Y., Armagan, A., Ilic, S., Leonardis, A., Navab, N. & Busam, B., 20 Jun 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 780-791 12 p. (Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Geometry 100%
  • Sensors 84%
  • Data fusion 29%
  • Textures 22%
  • Computer hardware 16%
  18 Downloads (Pure)

• Resource-Efficient RGBD Aerial Tracking

  Yang, J., Gao, S., Li, Z., Zheng, F. & Leonardis, A., 22 Jun 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 13374-13383 8 p. (Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Drones 100%
  • Antennas 62%
  • Object tracking 41%
  • Graphics processing unit 18%
  • Unmanned aerial vehicles (UAV) 17%
  10 Downloads (Pure)

• Trans6D: transformer-based 6D object pose estimation and refinement

  Zhang, Z., Chen, W., Zheng, L., Leonardis, A. & Chang, H. J., 12 Feb 2023, Computer Vision – ECCV 2022 Workshops. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). 1 ed. Cham: Springer, p. 112–128 17 p. (Lecture Notes in Computer Science; vol. 13808).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Convolution 100%
  • Fusion reactions 81%
  • Textures 81%
  • Neural networks 61%
  • Experiments 36%
  255 Downloads (Pure)

• Tunable Convolutions with Parametric Multi-Loss Optimization

  Maggioni, M., Tanay, T., Babiloni, F., McDonagh, S. & Leonardis, A., 22 Jun 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 20226-20236 11 p. (Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Convolution 100%
  • Neural networks 41%
  • Image denoising 39%
  • Costs 12%
  8 Downloads (Pure)
• 2022

  Collaborative learning for hand and object reconstruction with attention-guided graph convolution

  Tse, T. H. E., Kim, K. I., Leonardis, A. & Chang, H. J., 27 Sept 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Institute of Electrical and Electronics Engineers (IEEE), p. 1645-1664 11 p. (Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Convolution 100%
  • Ablation 62%
  • Augmented reality 52%
  • Virtual reality 44%
  • Experiments 18%
  253 Downloads (Pure)

• Conditional patch-based domain randomization: improving texture domain randomization using natural image patches

  Ani, M., Basevi, H. & Leonardis, A., 26 Dec 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Kyoto, Japan: IEEE, p. 1979-1985 (Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Textures 100%
  • Object detection 32%
  • Learning systems 31%
  • Labeling 30%
  • Deep learning 27%
  62 Downloads (Pure)

• DepthTrack: Unveiling the Power of RGBD Tracking

  Yan, S., Yang, J., Käpylä, J., Zheng, F., Leonardis, A. & Kämäräinen, J. K., 1 Mar 2022, 2021 IEEE/CVF International Conference on Computer Vision (ICCV). Institute of Electrical and Electronics Engineers (IEEE), p. 10705-10713 9 p. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Large dataset 100%
  • Object tracking 99%
  • Momentum 84%
  • Robotics 69%
  • Sensors 47%
  12 Citations (Scopus)

• End-to-end learning to grasp via sampling from object point clouds

  Alliegro, A., Rudorfer, M., Frattin, F., Leonardis, A. & Tommasi, T., 30 Jun 2022, (Accepted/In press) 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). IEEE, (IEEE/RSJ International Conference on Intelligent Robots and Systems).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File
  174 Downloads (Pure)

• Imagining hidden supporting objects using volumetric conditional GANs and differentiable stability scores

  Basevi, H. & Leonardis, A., 24 Nov 2022, The 33rd British Machine Vision Conference Proceedings. British Machine Vision Association, 14 p. 682

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Semantics 100%
  148 Downloads (Pure)

• S² contact: graph-based network for 3D hand-object contact estimation with semi-supervised learning

  Tse, T. H. E., Zhang, Z., Kim, K. I., Leonardis, A., Zheng, F. & Chang, H. J., 23 Oct 2022, Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part I. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). 1 ed. Springer, p. 568–584 17 p. (Lecture Notes in Computer Science; vol. 13661).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Semi-supervised learning 100%
  • Labels 46%
  • Supervised learning 28%
  • Hot Temperature 26%
  • Cameras 19%
  50 Downloads (Pure)

• Towards generic 3D tracking in RGBD videos: benchmark and baseline

  Yang, J., Zhang, Z., Li, Z., Chang, H. J., Leonardis, A. & Zheng, F., 23 Oct 2022, Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXII. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). 1 ed. Springer, p. 112–128 17 p. (Lecture Notes in Computer Science; vol. 13682).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Object tracking 100%
  • Momentum 42%
  • Robotics 35%
  • Color 33%
  • Sensors 23%
  164 Downloads (Pure)

• TP-AE: temporally primed 6D object pose tracking with auto-encoders

  Zheng, L., Leonardis, A., Tse, T. H. E., Horanyi, N., Chen, H., Zhang, W. & Chang, H. J., 12 Jul 2022, 2022 IEEE International Conference on Robotics and Automation (ICRA). Institute of Electrical and Electronics Engineers (IEEE), p. 10616-10623 8 p. 9811890. (Proceedings - IEEE International Conference on Robotics and Automation).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Object tracking 100%
  • Robotics 23%
  • Experiments 11%
  524 Downloads (Pure)
• 2021

  FS-Net: fast shape-based network for category-level 6D object pose estimation with decoupled rotation mechanism

  Chen, W., Jia, X., Chang, H. J., Duan, J., Shen, L. & Leonardis, A., 2 Nov 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 1581-1590 10 p. 9578410. (Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Feature extraction 100%
  • Convolution 85%
  • Invariance 45%
  • Experiments 15%
  246 Downloads (Pure)
• 2020

  G2L-Net:Global to local network for real-time 6D pose estimation with embedding vector features

  Chen, W., Jia, X., Chang, H. J., Duan, J. & Leonardis, A., 2020, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020. p. 4232-4241 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Experiments 100%
  2 Citations (Scopus)

• PointPoseNet:Point pose network for robust 6D object pose estimation

  Chen, W., Duan, J., Basevi, H., Chang, H. J. & Leonardis, A., Mar 2020, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020. Institute of Electrical and Electronics Engineers (IEEE), p. 2813-2822 10 p. 9093272. (Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Pipelines 100%
  • Geometry 39%
  • Experiments 23%
  4 Citations (Scopus)

• Quantifying the use of domain randomization

  Ani, M., Basevi, H. & Leonardis, A., 10 Dec 2020, (Accepted/In press) 25th International Conference on Pattern Recognition (ICPR 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Labeled data 100%
  • Image classification 90%
  • Labeling 83%
  388 Downloads (Pure)
• 2019

  Answering visual what-if questions: from actions to predicted scene descriptions

  Wagner, M., Basevi, H., Shetty, R., Li, W., Malinowski, M., Fritz, M. & Leonardis, A., 23 Jan 2019, (E-pub ahead of print) Computer Vision – ECCV 2018 Workshops: Munich, Germany, September 8-14, 2018, Proceedings. Leal-Taixé, L. & Roth, S. (eds.). Springer, p. 521-537 17 p. (Lecture Notes in Computer Science; vol. 11129).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Physics 100%
  • Engines 73%
  244 Downloads (Pure)

• PointPoseNet: Point Pose Network for Robust 6D Object Pose Estimation

  Chen, W., Duan, J., Basevi, H., Chang, H. J. & Leonardis, A., 9 Dec 2019, (Accepted/In press) Winter Conference on Applications of Computer Vision (WACV 2020). IEEE Computer Society Press, 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Pipelines 100%
  • Geometry 39%
  • Experiments 23%
• 2018

  Learning to exploit stability for 3D scene parsing

  Du, Y., Liu, Z., Basevi, H., Leonardis, A., Freeman, W. T., Tenenbaum, J. T. & Wu, J., 2 Dec 2018, (E-pub ahead of print) Advances in Neural Information Processing Systems 31 (NIPS 2018). Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N. & Garnett, R. (eds.). NIPS, 11 p. 7444. (Electronic Proceedings of the Neural Information Processing Systems Conference; vol. 31).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Physics 100%
  • Engines 14%
  65 Downloads (Pure)

• Spatially-adaptive filter units for deep neural networks

  Tabernik, D., Kristan, M. & Leonardis, A., 17 Dec 2018, Proceedings of 30th IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR 2018). IEEE Computer Society Press, p. 9388-9396 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Adaptive filters 100%
  • Deep neural networks 90%
  • Agglomeration 80%
  • Spatial distribution 51%
  • Convolution 45%
  3 Citations (Scopus)

  205 Downloads (Pure)
• 2017

  Beyond standard benchmarks: Parameterizing performance evaluation in visual object tracking

  Cehovin Zajc, L., Lukezic, A., Leonardis, A. & Kristan, M., 25 Dec 2017, Proceedings of the International Conference on Computer Vision (ICCV 2017). IEEE Computer Society Press, 9 p. (IEEE International Conference on Computer Vision (ICCV)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Object tracking 100%
  • Cameras 32%
  11 Citations (Scopus)

  265 Downloads (Pure)

• Rolling Shutter Correction in Manhattan World

  Purkait, P., Zach, C. & Leonardis, A., 25 Dec 2017, Proceedings of the International Conference on Computer Vision (ICCV 2017). IEEE Computer Society Press, 9 p. (IEEE International Conference on Computer Vision (ICCV)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Camera shutters 100%
  • Cameras 30%
  • Geometry 25%
  • Compensation and Redress 16%
  • Experiments 7%
  10 Citations (Scopus)

  334 Downloads (Pure)

• Towards deep compositional networks

  Tabernik, D., Kristan, M., Wyatt, J. & Leonardis, A., 24 Apr 2017, Proceedings ICPR 2016: 23rd International Conference on Pattern Recognition. IEEE Computer Society, 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Cost functions 100%
  • Convolutional neural networks 99%
  • Computer vision 92%
  • Visualization 84%
  • Experiments 38%
  8 Citations (Scopus)

  262 Downloads (Pure)

• Visual stability prediction for robotic manipulation

  Wenbin, L., Leonardis, A. & Fritz, M., 24 Jul 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA). Institute of Electrical and Electronics Engineers (IEEE), p. 2606-2613 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Towers 100%
  • Robotics 81%
  • Animals 34%
  13 Citations (Scopus)

  293 Downloads (Pure)
• 2016

  Distractor-supported single target tracking in extremely cluttered scenes

  Xiao, J., Qiao, L., Stolkin, R. & Leonardis, A., 17 Sept 2016, (E-pub ahead of print) Proceedings of the European Conference on Computer Vision, Amsterdam, (ECCV 2016). Leibe, B., Matas, J., Sebe, N. & Welling, M. (eds.). Springer, 16 p. (Lecture Notes in Computer Science; vol. 9908).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Camouflage 100%
  • Target tracking 66%
  • Feedback 29%
  17 Citations (Scopus)

  399 Downloads (Pure)

• Hierarchical Spatial Model for 2D Range Data Based Room Categorisation

  Ursic, P., Leonardis, A., Skočaj, D. & Kristan, M., 2016, (Accepted/In press) 2016 IEEE International Conference on Robotics and Automation. Institute of Electrical and Electronics Engineers (IEEE)

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Image-based registration for a neurosurgical robot: comparison using iterative closest point and coherent point drift algorithms

  Cutter, J. R., Styles, I., Leonardis, A. & Dehghani, H., 2016, International Conference On Medical Imaging Understanding and Analysis 2016, MIUA 2016. Elsevier, p. 28-34 7 p. (Procedia Computer Science; vol. 90).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Surgery 100%
  • Magnetic resonance imaging 69%
  • Robots 63%
  • Brain 27%
  5 Citations (Scopus)

  176 Downloads (Pure)

• Part-Based Room Categorization for Household Service Robots

  Ursic, P., Mandeljc, R., Leonardis, A. & Kristan, M., 9 Jun 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA). Institute of Electrical and Electronics Engineers (IEEE), p. 2287-2294

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Convolutional neural networks 100%
  • Robots 70%
  • Degradation 25%
  • Sensors 18%
  8 Citations (Scopus)

• Robust visual tracking using template anchors

  Čehovin, L., Leonardis, A. & Kristan, M., Mar 2016, WACV 2016: IEEE Winter Conference on Applications of Computer Vision. IEEE Computer Society Press

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Anchors 100%
  • Parameter estimation 8%
  • Uncertainty 5%
  24 Citations (Scopus)

  263 Downloads (Pure)

• Task-relevant grasp selection: A joint solution to planning grasps and manipulative motion trajectories

  Ghalamzan Esfahani, A. M., Mavrakis, N., Kopicki, M., Stolkin, R. & Leonardis, A., 1 Dec 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE Xplore, p. 907-914

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Trajectories 100%
  • Robots 92%
  • Planning 91%
  • Point contacts 41%
  • Statistical Models 32%
  13 Citations (Scopus)

• Towards Categorization and Pose Estimation of Sets of Occluded Objects in Cluttered Scenes from Depth Data and Generic Object Models Using Joint Parsing

  Basevi, H. & Leonardis, A., 24 Nov 2016, Computer Vision – ECCV 2016 Workshops Part III. Hua, G. & Jégou, H. (eds.). Springer, Vol. 9915. p. 665-681 (Lecture Notes in Computer Science; vol. 9915).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Camouflage 100%
  • Target tracking 66%
  • Set theory 44%
  • Feedback 29%
  230 Downloads (Pure)
• 2015

  A real-time tracking and optimised gaze control for a redundant humanoid robot head

  Marturi, N., Ortenzi, V., Xiao, J., Adjigble, M., Stolkin, R. & Leonardis, A., Nov 2015, 2015 IEEE-RAS International Conference on Humanoid Robots. Institute of Electrical and Electronics Engineers (IEEE)

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  4 Citations (Scopus)

• Categorisation of 3D objects in range images using compositional hierarchies of parts based on MDL and entropy selection criteria

  Kramarev, V., Walas, K. & Leonardis, A., 2015, Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings. Paulsen, R. R. & Pedersen, K. S. (eds.). Springer, Vol. 9127. p. 289-301 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9127).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Range Image 100%
  • Categorization 77%
  • Entropy 48%
  • Hierarchy 47%
  • Pixels 42%

• Compositional hierarchical representation of shape manifolds for classification of non-manifold shapes

  Ozay, M., Aktas, Ü. R., Wyatt, J. & Leonardis, A., 12 Dec 2015, 2015 IEEE International Conference on Computer Vision (ICCV). IEEE Computer Society Press, p. 1662-1670

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access
  3 Citations (Scopus)

  18 Downloads (Pure)

• Single target tracking using adaptive clustered decision trees and dynamic multi-level appearance models

  Xiao, J., Stolkin, R. & Leonardis, A., 2015, Proc. IEEE CVPR.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• The visual object tracking VOT2014 challenge results

  Kristan, M., Pflugfelder, R., Leonardis, A., Matas, J., Čehovin, L., Nebehay, G., Vojíř, T., Fernández, G., Lukežič, A., Dimitriev, A., Petrosino, A., Saffari, A., Li, B., Han, B., Heng, C. K., Garcia, C., Pangeršič, D., Häger, G., Khan, F. S., Oven, F., & 37 othersPossegger, H., Bischof, H., Nam, H., Zhu, J., Li, J. J., Choi, J. Y., Choi, J. W., Henriques, J. F., van de Weijer, J., Batista, J., Lebeda, K., Öfjäll, K., Yi, K. M., Qin, L., Wen, L., Maresca, M. E., Danelljan, M., Felsberg, M., Cheng, M. M., Torr, P., Huang, Q., Bowden, R., Hare, S., Lim, S. Y. Y., Hong, S., Liao, S., Hadfield, S., Li, S. Z., Duffner, S., Golodetz, S., Mauthner, T., Vineet, V., Lin, W., Li, Y., Qi, Y., Lei, Z. & Niu, Z. H., 2015, Computer Vision - ECCV 2014 Workshops : Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II. Agapito, L., Bronstein, M. M. & Rother, C. (eds.). Springer, Vol. 8926. p. 191-217 27 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8926).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Visual Tracking 100%
  • Object Tracking 87%
  • Object tracking 53%
  • Evaluation 36%
  • Annotation 23%
  130 Citations (Scopus)
• 2014

  A graph theoretic approach for object shape representation in compositional hierarchies using a hybrid generative-descriptive model

  Aktas, U. R., Ozay, M., Leonardis, A. & Wyatt, J. L., 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 ed. Springer, Vol. 8691 LNCS. p. 566-581 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8691 , no. 3).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Shape Representation 100%
  • Hierarchy 51%
  • Object 41%
  • Chemical analysis 40%
  • Retrieval 39%
  3 Citations (Scopus)

• A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization

  Ozay, M., Walas, K. & Leonardis, A., 2014, The 2014 IEEE International Conference on Robotics and Automation (ICRA). Institute of Electrical and Electronics Engineers (IEEE), p. 5480 - 5487 8 p. NSPEC Accession Number:14616910

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Chemical analysis 100%
  • Feature extraction 59%
  2 Citations (Scopus)

  2 Downloads (Pure)

• Boosting audio chord estimation using multiple classifiers

  Pesek, M., Leonardis, A. & Marolt, M., 2014, 21st International Conference on Systems, Signals, and Image Processing. IEEE Computer Society Press, p. 107-110 4 p. 6837642

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Hidden Markov models 100%
  • Classifiers 69%
  • Decision trees 63%
  • Support vector machines 52%
  • Deep learning 29%

• Feature selection for object detection: the best group vs. the group of best

  Furst, L. & Leonardis, A., 26 May 2014, 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2014 - Proceedings. IEEE Computer Society Press, p. 1192-1197 6 p. 6859749. (International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO); vol. 2014).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Object detection 100%
  • Feature extraction 74%
  • Adaptive boosting 38%

• Is my new tracker really better than yours?

  Cehovin, L., Kristan, M. & Leonardis, A., 2014, Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV 2014): IEEE.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  56 Citations (Scopus)

• Multi-target tracking in team-sports videos via multi-level context-conditioned latent behaviour models

  Xiao, J., Stolkin, R. & Leonardis, A., 2014, Proceedings of the British Machine Vision Conference 2014. BMVA Press

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Object Categorization from Range Images Using a Hierarchical Compositional Representation

  Kramarev, V., Zurek, S., Wyatt, J. L. & Leonardis, A., 4 Dec 2014, Proceedings - International Conference on Pattern Recognition, ICPR 2014. Institute of Electrical and Electronics Engineers (IEEE), p. 586-591 6 p. 6976821

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Classifiers 100%
  • Chemical analysis 91%
  • Data storage equipment 86%
  3 Citations (Scopus)
• 2011

  An adaptive coupled-layer visual model for robust visual tracking

  Čehovin, L., Kristan, M. & Leonardis, A., Nov 2011, Computer Vision (ICCV), 2011 IEEE International Conference. IEEE Computer Society Press, p. 1363-1370 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Object tracking 100%
  • Color 66%
  82 Citations (Scopus)
• 2008

  Similarity-based cross-layered hierarchical representation for object categorization

  Fidler, S., Boben, M. & Leonardis, A., Jun 2008, Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference. IEEE Computer Society Press, p. 1-8 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Labels 100%
  45 Citations (Scopus)