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Janis Postels

Implicit Neural Representations for Image Compression


Dec 08, 2021
Yannick Strümpler, Janis Postels, Ren Yang, Luc van Gool, Federico Tombari

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On the Practicality of Deterministic Epistemic Uncertainty


Jul 13, 2021
Janis Postels, Mattia Segu, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari

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Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction


Jun 18, 2021
Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari

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Variational Transformer Networks for Layout Generation


Apr 06, 2021
Diego Martin Arroyo, Janis Postels, Federico Tombari

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* To be published in CVPR 2021 
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Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space


Dec 05, 2020
Janis Postels, Hermann Blum, Cesar Cadena, Roland Siegwart, Luc Van Gool, Federico Tombari

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Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation


Aug 21, 2019
Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari

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* Accepted at International Conference on Computer Vision 2019 (oral) Change log: - Discuss "Natural Parameter Networks" in greater detail (Related Work) - Discuss "DETERMINISTIC VARIATIONAL INFERENCE FOR ROBUST BAYESIAN NEURAL NETWORKS" (Related Work) - Change notation (formulas) in method section - Discuss the nature of the uncertainty estimated by our method at the end of "3. Method" 
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