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20242026
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cs.CV2026

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis

Maria Peribañez, Javier Civera, Rudolph Triebel +1

Visual localization becomes extremely challenging in planetary-like terrains characterized by low texture, perceptual aliasing, harsh illumination, and sparse, weakly overlapping v…

cs.CV2026

TAPNext++: What's Next for Tracking Any Point (TAP)?

Sebastian Jung, Artem Zholus, Martin Sundermeyer +6

Tracking-Any-Point (TAP) models aim to track any point through a video which is a crucial task in AR/XR and robotics applications. The recently introduced TAPNext approach proposes…

cs.CV2026

Finding NeMO: A Geometry-Aware Representation of Template Views for Few-Shot Perception

Sebastian Jung, Leonard Klüpfel, Rudolph Triebel +1

We present Neural Memory Object (NeMO), a novel object-centric representation that can be used to detect, segment and estimate the 6DoF pose of objects unseen during training using…

cs.CV2026

The S3LI Vulcano Dataset: A Dataset for Multi-Modal SLAM in Unstructured Planetary Environments

Riccardo Giubilato, Marcus Gerhard Müller, Marco Sewtz +3

We release the S3LI Vulcano dataset, a multi-modal dataset towards development and benchmarking of Simultaneous Localization and Mapping (SLAM) and place recognition algorithms tha…

cs.CV2025

Multi-modal Loop Closure Detection with Foundation Models in Severely Unstructured Environments

Laura Alejandra Encinar Gonzalez, John Folkesson, Rudolph Triebel +1

Robust loop closure detection is a critical component of Simultaneous Localization and Mapping (SLAM) algorithms in GNSS-denied environments, such as in the context of planetary ex…

cs.CV2025

Single-Shot Metric Depth from Focused Plenoptic Cameras

Blanca Lasheras-Hernandez, Klaus H. Strobl, Sergio Izquierdo +3

Metric depth estimation from visual sensors is crucial for robots to perceive, navigate, and interact with their environment. Traditional range imaging setups, such as stereo or st…