activity
20182026
most citedLearning Anthropometry from Rendered Humans

12 citations · 15 across the 6 of their papers we have counts for

collaborators

10 papers

cs.RO2026

AgiPIX: Bridging Simulation and Reality in Indoor Aerial Inspection

Sasanka Kuruppu Arachchige, Juan Jose Garcia, Changda Tian +4

Autonomous indoor flight for critical asset inspection presents fundamental challenges in perception, planning, control, and learning. Despite rapid progress, there is still a lack…

cs.RO2026

Data Scaling for Navigation in Unknown Environments

Lauri Suomela, Naoki Takahata, Sasanka Kuruppu Arachchige +2

Generalization of imitation-learned navigation policies to environments unseen in training remains a major challenge. We address this by conducting the first large-scale study of h…

cs.RO2025

Synthetic vs. Real Training Data for Visual Navigation

Lauri Suomela, Sasanka Kuruppu Arachchige, German F. Torres +2

This paper investigates how the performance of visual navigation policies trained in simulation compares to policies trained with real-world data. Performance degradation of simula…

cs.RO2021★ 2 cited

Neural Network Controller for Autonomous Pile Loading Revised

Wenyan Yang, Nataliya Strokina, Nikolay Serbenyuk +5

We have recently proposed two pile loading controllers that learn from human demonstrations: a neural network (NNet) [1] and a random forest (RF) controller [2]. In the field exper…

cs.CV2021★ 12 cited

Learning Anthropometry from Rendered Humans

Song Yan, Joni-Kristian Kämäräinen

Accurate estimation of anthropometric body measurements from RGB images has many potential applications in industrial design, online clothing, medical diagnosis and ergonomics. Res…

cs.CV2020

A Benchmark for Temporal Color Constancy

Yanlin Qian, Jani Käpylä, Joni-Kristian Kämäräinen +2

Temporal Color Constancy (CC) is a recently proposed approach that challenges the conventional single-frame color constancy. The conventional approach is to use a single frame - sh…