Research output per year
Research output per year
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Dive into the research topics where Ales Leonardis is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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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 AccessFile1 Downloads (Pure) -
G-DAIC: A Gaze Initialized Framework for Description and Aesthetic-Based Image Cropping
Horanyi, N., Hou, Y., Leonardis, A. & Chang, H. J., 18 May 2023, In: Proceedings of the ACM on Human-Computer Interaction. 7, ETRA, p. 1-19 19 p., 163.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 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 AccessFile16 Downloads (Pure) -
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
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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 AccessFile2 Downloads (Pure)
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Visual common sense through self-supervised learning for restoration of invisible parts in images
15/09/21 → 31/12/24
Project: Research
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Understanding complex scenes in contained spaces using physics and generative deep learning
1/07/19 → 30/06/30
Project: Industry
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Scalable inference of affordance, activity, and intent from spatio-temporal input
1/01/21 → 30/05/21
Project: Research
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Tracking membrane receptor interactions via data-driven machine learning
1/04/20 → 30/06/22
Project: Research
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Babymind: Computational Models of Sensorimotor Learning and Control
Bremner, A., Chang, H. J., Leonardis, A., Yeo, S. & Miall, C.
1/01/20 → 31/12/20
Project: Research