activity
20232026
most citedOCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods

136 citations · 149 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2026

Robustness and Stability Analysis of Differentiable Shift-Variant FBP for Cone-Beam CT under Challenging Acquisition Settings

Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +5

The differentiable shift-variant filtered backprojection (SV-FBP) framework enables data-driven estimation of redundancy weights for cone-beam CT reconstruction under general sourc…

cs.CV2025

AMD-HookNet++: Evolution of AMD-HookNet with Hybrid CNN-Transformer Feature Enhancement for Glacier Calving Front Segmentation

Fei Wu, Marcel Dreier, Nora Gourmelon +6

The dynamics of glaciers and ice shelf fronts significantly impact the mass balance of ice sheets and coastal sea levels. To effectively monitor glacier conditions, it is crucial t…

cs.CV2025★ 4 cited

Smelly, dense, and spreaded: The Object Detection for Olfactory References (ODOR) dataset

Mathias Zinnen, Prathmesh Madhu, Inger Leemans +6

Real-world applications of computer vision in the humanities require algorithms to be robust against artistic abstraction, peripheral objects, and subtle differences between fine-g…

cs.CV2025★ 2 cited

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery

Nora Gourmelon, Marcel Dreier, Martin Mayr +5

Glaciers are losing ice mass at unprecedented rates, increasing the need for accurate, year-round monitoring to understand frontal ablation, particularly the factors driving the ca…

eess.IV2023★ 136 cited

OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods

Mikhail Kulyabin, Aleksei Zhdanov, Anastasia Nikiforova +8

Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, p…

cs.CV2023★ 7 cited

SniffyArt: The Dataset of Smelling Persons

Mathias Zinnen, Azhar Hussian, Hang Tran +3

Smell gestures play a crucial role in the investigation of past smells in the visual arts yet their automated recognition poses significant challenges. This paper introduces the Sn…