Deep Convolutional Gaussian Processes. - Kenneth Blomqvist; Samuel Kaski; Markus Heinonen (ECML/PKDD (2), 2019)

Go Fetch: Mobile Manipulation in Unstructured Environments. - Kenneth Blomqvist; Michel Breyer; Andrei Cramariuc; Julian Förster; Margarita Grinvald; Florian Tschopp; Jen Jen Chung; Lionel Ott; Juan I. Nieto 001; Roland Siegwart (CoRR, 2020)

Points2Vec: Unsupervised Object-level Feature Learning from Point Clouds. - Joël Bachmann; Kenneth Blomqvist; Julian Förster; Roland Siegwart (CoRR, 2021)

3D Annotation Of Arbitrary Objects In The Wild. - Kenneth Blomqvist; Julius Hietala (CoRR, 2021)

Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses. - Kenneth Blomqvist; Jen Jen Chung; Lionel Ott; Roland Siegwart (ICPR, 2022)

NeRFing it: Offline Object Segmentation Through Implicit Modeling. - Kenneth Blomqvist; Jen Jen Chung; Lionel Ott; Roland Siegwart (ICRA, 2023)

Neural Implicit Vision-Language Feature Fields. - Kenneth Blomqvist; Francesco Milano 001; Jen Jen Chung; Lionel Ott; Roland Siegwart (IROS, 2023)

Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps. - Kenneth Blomqvist; Lionel Ott; Jen Jen Chung; Roland Siegwart (IROS, 2023)

A Farewell to Supervision: Towards Self-supervised Autonomous Systems. - Kenneth Blomqvist (2023)

Under pressure: learning-based analog gauge reading in the wild. - Maurits Reitsma; Julian Keller; Kenneth Blomqvist; Roland Siegwart (ICRA, 2024)

ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification. - Nicolas Gorlo; Kenneth Blomqvist; Francesco Milano 001; Roland Siegwart (WACV, 2024)

Panoptic Vision-Language Feature Fields. - Haoran Chen; Kenneth Blomqvist; Francesco Milano 001; Roland Siegwart (IEEE Robotics Autom. Lett., 2024)