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20212025
most citedFinnWoodlands Dataset

19 citations · 59 across the 18 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022

PanDepth: Joint Panoptic Segmentation and Depth Completion

Juan Lagos, Esa Rahtu

Understanding 3D environments semantically is pivotal in autonomous driving applications where multiple computer vision tasks are involved. Multi-task models provide different type…

cs.CV2022

Supervised Fine-tuning Evaluation for Long-term Visual Place Recognition

Farid Alijani, Esa Rahtu

In this paper, we present a comprehensive study on the utility of deep convolutional neural networks with two state-of-the-art pooling layers which are placed after convolutional l…

cs.CV2022★ 2 cited

Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors

Vladimir Iashin, Weidi Xie, Esa Rahtu +1

The objective of this paper is audio-visual synchronisation of general videos 'in the wild'. For such videos, the events that may be harnessed for synchronisation cues may be spati…

cs.CV2022★ 7 cited

SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion

Juan Pablo Lagos, Esa Rahtu

Holistic scene understanding is pivotal for the performance of autonomous machines. In this paper we propose a new end-to-end model for performing semantic segmentation and depth c…

cs.CV2022★ 3 cited

Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision

Lingyu Zhu, Esa Rahtu, Hang Zhao

This paper focuses on perceiving and navigating 3D environments using echoes and RGB image. In particular, we perform depth estimation by fusing RGB image with echoes, received fro…