activity
20232026
most citedRobust Hole-Detection in Triangular Meshes Irrespective of the Presence of Singular Vertices

8 citations · 11 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2026

TRACKGRAPH: Online Open-Vocabulary 3D Scene Graphs via Image-Space Tracking

Peder Borge Hellesylt, Albert Gassol Puigjaner, Kostas Alexis +1

Open-vocabulary 3D maps enable robots to reason about previously unknown environments using natural language. However, existing systems typically segment every incoming image, asso…

cs.GR2026

IBPA: Real-time Free-form Manifold Mesh Reconstruction via Incremental Ball Pivoting with Integrated Hole Detection

Mauhing Yip, Mohit Singh, Kostas Alexis +2

Both Remotely Operated underwater Vehicles (ROVs) and Autonomous Underwater Vehicles (AUVs) are frequently deployed to acquire geometric bathymetric data. However, it is often disc…

cs.RO2026

Caspar: CUDA Accelerator for Symbolic Programming with Adaptive Reordering

Emil Martens, Aaron Miller, Matias Varnum +1

We present Caspar, a library that makes the power of modern GPUs more accessible in robotics and provides a state-of-the-art nonlinear GPU solver that can be applied to a wide rang…

cs.CV2026

Patch Ensembles for Robust Salmon Re-Identification with Weak Trajectory Labels

Espen Uri Høgstedt, Christian Schellewald, Annette Stahl +1

Salmon re-identification in commercial net-pens is challenging due to large populations, which impose strict accuracy requirements and make large-scale labeled data acquisition inf…

cs.CV2026

Differential pose optimization in descriptor space -- Combining Geometric and Photometric Methods for Motion Estimation

Andreas L. Teigen, Annette Stahl, Rudolf Mester

One of the fundamental problems in computer vision is the two-frame relative pose optimization problem. Primarily, two different kinds of error values are used: photometric error a…

cs.CV2025★ 1 cited

A Multi-purpose Tracking Framework for Salmon Welfare Monitoring in Challenging Environments

Espen Uri Høgstedt, Christian Schellewald, Annette Stahl +1

Computer Vision (CV)-based continuous, automated and precise salmon welfare monitoring is a key step toward reduced salmon mortality and improved salmon welfare in industrial aquac…

cs.RO2025

PyGemini: Unified Software Development towards Maritime Autonomy Systems

Kjetil Vasstein, Christian Le, Simon Lervåg Breivik +3

Ensuring the safety and certifiability of autonomous surface vessels (ASVs) requires robust decision-making systems, supported by extensive simulation, testing, and validation acro…

cs.CV2025

Near-Shore Mapping for Detection and Tracking of Vessels

Nicholas Dalhaug, Annette Stahl, Rudolf Mester +1

For an autonomous surface vessel (ASV) to dock, it must track other vessels close to the docking area. Kayaks present a particular challenge due to their proximity to the dock and…

cs.GR2023★ 8 cited

Robust Hole-Detection in Triangular Meshes Irrespective of the Presence of Singular Vertices

Mauhing Yip, Annette Stahl, Christian Schellewald

In this work, we present a boundary and hole detection approach that traverses all the boundaries of an edge-manifold triangular mesh, irrespectively of the presence of singular ve…

cs.CV2023★ 2 cited

Removing Adverse Volumetric Effects From Trained Neural Radiance Fields

Andreas L. Teigen, Mauhing Yip, Victor P. Hamran +3

While the use of neural radiance fields (NeRFs) in different challenging settings has been explored, only very recently have there been any contributions that focus on the use of N…

cs.CV2023

RGB-D Mapping and Tracking in a Plenoxel Radiance Field

Andreas L. Teigen, Yeonsoo Park, Annette Stahl +1

The widespread adoption of Neural Radiance Fields (NeRFs) have ensured significant advances in the domain of novel view synthesis in recent years. These models capture a volumetric…