Kenneth Blomqvist

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Object Segmentation

Computational Vision

Landmark Extraction

Top Venues

IEEE Robotics Autom. Lett.

Publications

Maurits Reitsma, Julian Keller, Kenneth Blomqvist, Roland Siegwart
Under pressure: learning-based analog gauge reading in the wild. ICRA (2024)
Nicolas Gorlo, Kenneth Blomqvist, Francesco Milano, Roland Siegwart
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification. WACV (2024)
Haoran Chen, Kenneth Blomqvist, Francesco Milano, Roland Siegwart
Panoptic Vision-Language Feature Fields. IEEE Robotics Autom. Lett. 9 (3) (2024)
Maurits Reitsma, Julian Keller, Kenneth Blomqvist, Roland Siegwart
Under pressure: learning-based analog gauge reading in the wild. CoRR (2024)
Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart
NeRFing it: Offline Object Segmentation Through Implicit Modeling. ICRA (2023)
Kenneth Blomqvist, Francesco Milano, Jen Jen Chung, Lionel Ott, Roland Siegwart
Neural Implicit Vision-Language Feature Fields. IROS (2023)
Kenneth Blomqvist, Lionel Ott, Jen Jen Chung, Roland Siegwart
Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps. IROS (2023)
Nicolas Gorlo, Kenneth Blomqvist, Francesco Milano, Roland Siegwart
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification. CoRR (2023)
Kenneth Blomqvist, Francesco Milano, Jen Jen Chung, Lionel Ott, Roland Siegwart
Neural Implicit Vision-Language Feature Fields. CoRR (2023)
Haoran Chen, Kenneth Blomqvist, Francesco Milano, Roland Siegwart
Panoptic Vision-Language Feature Fields. CoRR (2023)
Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart
Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses. ICPR (2022)
Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart
Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses. CoRR (2022)
Kenneth Blomqvist, Lionel Ott, Jen Jen Chung, Roland Siegwart
Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps. CoRR (2022)
Kenneth Blomqvist, Julius Hietala
3D Annotation Of Arbitrary Objects In The Wild. CoRR (2021)
Joël Bachmann, Kenneth Blomqvist, Julian Förster, Roland Siegwart
Points2Vec: Unsupervised Object-level Feature Learning from Point Clouds. CoRR (2021)
Kenneth Blomqvist, Michel Breyer, Andrei Cramariuc, Julian Förster, Margarita Grinvald, Florian Tschopp, Jen Jen Chung, Lionel Ott, Juan I. Nieto, Roland Siegwart
Go Fetch: Mobile Manipulation in Unstructured Environments. CoRR (2020)
Kenneth Blomqvist, Samuel Kaski, Markus Heinonen
Deep Convolutional Gaussian Processes. ECML/PKDD (2) (2019)
Kenneth Blomqvist, Samuel Kaski, Markus Heinonen
Deep convolutional Gaussian processes. CoRR (2018)