activity
20222024
most citedBounding Box Disparity: 3D Metrics for Object Detection With Full Degree of Freedom

7 citations · 9 across the 10 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2024

FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW Radar

Sabri Mustafa Kahya, Boran Hamdi Sivrikaya, Muhammet Sami Yavuz +1

This paper proposes a short-range FMCW radar-based facial authentication and out-of-distribution (OOD) detection framework. Our pipeline jointly estimates the correct classes for t…

cs.CV2024

ADL4D: Towards A Contextually Rich Dataset for 4D Activities of Daily Living

Marsil Zakour, Partha Pratim Nath, Ludwig Lohmer +6

Hand-Object Interactions (HOIs) are conditioned on spatial and temporal contexts like surrounding objects, previous actions, and future intents (for example, grasping and handover…

cs.CV20231 cited

Remote Task-oriented Grasp Area Teaching By Non-Experts through Interactive Segmentation and Few-Shot Learning

Furkan Kaynar, Sudarshan Rajagopalan, Shaobo Zhou +1

A robot operating in unstructured environments must be able to discriminate between different grasping styles depending on the prospective manipulation task. Having a system that a…

cs.CV2023

MCROOD: Multi-Class Radar Out-Of-Distribution Detection

Sabri Mustafa Kahya, Muhammet Sami Yavuz, Eckehard Steinbach

Out-of-distribution (OOD) detection has recently received special attention due to its critical role in safely deploying modern deep learning (DL) architectures. This work proposes…

cs.CV20227 cited

Bounding Box Disparity: 3D Metrics for Object Detection With Full Degree of Freedom

Michael G. Adam, Martin Piccolrovazzi, Sebastian Eger +1

The most popular evaluation metric for object detection in 2D images is Intersection over Union (IoU). Existing implementations of the IoU metric for 3D object detection usually ne…