Search Results for author: Julian F. P. Kooij

Found 12 papers, 6 papers with code

On the Estimation of Image-matching Uncertainty in Visual Place Recognition

no code implementations31 Mar 2024 Mubariz Zaffar, Liangliang Nan, Julian F. P. Kooij

In Visual Place Recognition (VPR) the pose of a query image is estimated by comparing the image to a map of reference images with known reference poses.

Image Retrieval Retrieval +1

See Further Than CFAR: a Data-Driven Radar Detector Trained by Lidar

no code implementations20 Feb 2024 Ignacio Roldan, Andras Palffy, Julian F. P. Kooij, Dariu M. Gavrila, Francesco Fioranelli, Alexander Yarovoy

In this paper, we address the limitations of traditional constant false alarm rate (CFAR) target detectors in automotive radars, particularly in complex urban environments with multiple objects that appear as extended targets.

MuVieCAST: Multi-View Consistent Artistic Style Transfer

1 code implementation8 Dec 2023 Nail Ibrahimli, Julian F. P. Kooij, Liangliang Nan

We introduce MuVieCAST, a modular multi-view consistent style transfer network architecture that enables consistent style transfer between multiple viewpoints of the same scene.

Novel View Synthesis Style Transfer

How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?

no code implementations9 May 2023 Jetze T. Schuurmans, Kim Batselier, Julian F. P. Kooij

While scaling the approximation error commonly is used to account for the different sizes of layers, the average correlation across layers is smaller than across all choices (i. e. layers, decompositions, and level of compression) before fine-tuning.

Neural Network Compression Tensor Decomposition

Convolutional Cross-View Pose Estimation

1 code implementation9 Mar 2023 Zimin Xia, Olaf Booij, Julian F. P. Kooij

The Localization Decoder produces a dense probability distribution in a coarse-to-fine manner with a novel Localization Matching Upsampling module.

Contrastive Learning Pose Estimation

How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?

no code implementations23 Nov 2022 Thomas M. Hehn, Julian F. P. Kooij, Dariu M. Gavrila

Various state-of-the-art self-supervised visual representation learning approaches take advantage of data from multiple sensors by aligning the feature representations across views and/or modalities.

Contrastive Learning Depth Estimation +6

Visual Cross-View Metric Localization with Dense Uncertainty Estimates

1 code implementation17 Aug 2022 Zimin Xia, Olaf Booij, Marco Manfredi, Julian F. P. Kooij

Given a ground-level color image and a satellite patch that contains the local surroundings, the task is to identify the location of the ground camera within the satellite patch.

Image Retrieval regression +1

Hearing What You Cannot See: Acoustic Vehicle Detection Around Corners

1 code implementation30 Jul 2020 Yannick Schulz, Avinash Kini Mattar, Thomas M. Hehn, Julian F. P. Kooij

A novel method is presented to classify if and from what direction a vehicle is approaching before it is visible, using as input Direction-of-Arrival features that can be efficiently computed from the streaming microphone array data.

CNN based Road User Detection using the 3D Radar Cube

1 code implementation25 Apr 2020 Andras Palffy, Jiaao Dong, Julian F. P. Kooij, Dariu M. Gavrila

In experiments on a real-life dataset we demonstrate that our method outperforms the state-of-the-art methods both target- and object-wise by reaching an average of 0. 70 (baseline: 0. 68) target-wise and 0. 56 (baseline: 0. 48) object-wise F1 score.

Clustering Object

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