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2020 – today
- 2024
[i9]Syed Sha Qutub, Michael Paulitsch, Korbinian Hagn, Neslihan Köse Cihangir, Kay-Ulrich Scholl, Fabian Oboril, Gereon Hinz, Alois Knoll:
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection. CoRR abs/2406.03188 (2024)- 2023
- [c19]Syed Sha Qutub, Neslihan Köse Cihangir, Rafael Rosales, Michael Paulitsch, Korbinian Hagn, Florian Geissler, Yang Peng, Gereon Hinz, Alois C. Knoll:
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture. BMVC 2023: 792-797 - [i8]Syed Sha Qutub, Neslihan Kose, Rafael Rosales, Michael Paulitsch, Korbinian Hagn, Florian Geissler, Yang Peng, Gereon Hinz, Alois Knoll:
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture. CoRR abs/2309.08036 (2023) - 2022
- [c18]Neslihan Kose
, Ranganath Krishnan, Akash Dhamasia, Omesh Tickoo, Michael Paulitsch:
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization. ECCV Workshops (5) 2022: 443-458 - [i7]Neslihan Kose, Ranganath Krishnan, Akash Dhamasia, Omesh Tickoo, Michael Paulitsch:
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization. CoRR abs/2212.04812 (2022) - 2020
- [j3]Okan Köpüklü, Ahmet Gunduz, Neslihan Kose, Gerhard Rigoll:
Online Dynamic Hand Gesture Recognition Including Efficiency Analysis. IEEE Trans. Biom. Behav. Identity Sci. 2(2): 85-97 (2020) - [c17]Juan Diego Ortega, Neslihan Kose, Paola Cañas, Min-An Chao, Alexander Unnervik, Marcos Nieto, Oihana Otaegui, Luis Salgado:
DMD: A Large-Scale Multi-modal Driver Monitoring Dataset for Attention and Alertness Analysis. ECCV Workshops (4) 2020: 387-405 - [c16]Okan Köpüklü, Thomas Ledwon, Yao Rong, Neslihan Kose, Gerhard Rigoll:
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework. FG 2020: 77-84 - [i6]Okan Köpüklü, Thomas Ledwon, Yao Rong, Neslihan Kose, Gerhard Rigoll:
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework. CoRR abs/2003.00951 (2020) - [i5]Juan Diego Ortega, Neslihan Kose, Paola Cañas, Min-An Chao, Alexander Unnervik, Marcos Nieto, Oihana Otaegui, Luis Salgado:
DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis. CoRR abs/2008.12085 (2020)
2010 – 2019
- 2019
- [c15]Okan Köpüklü, Ahmet Gunduz, Neslihan Kose, Gerhard Rigoll:
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks. FG 2019: 1-8 - [c14]Okan Köpüklü, Neslihan Kose, Ahmet Gunduz, Gerhard Rigoll:
Resource Efficient 3D Convolutional Neural Networks. ICCV Workshops 2019: 1910-1919 - [c13]Neslihan Kose, Okan Köpüklü, Alexander Unnervik, Gerhard Rigoll:
Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach. ITSC 2019: 3236-3242 - [c12]Branimir Malnar, Alexander Unnervik, Neslihan Köse:
Using High Performance Computing in Vehicles to Create Image Datasets for Deep Learning. MIPRO 2019: 1001-1006 - [i4]Okan Köpüklü, Ahmet Gunduz, Neslihan Kose, Gerhard Rigoll:
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks. CoRR abs/1901.10323 (2019) - [i3]Okan Köpüklü, Neslihan Kose, Ahmet Gunduz, Gerhard Rigoll:
Resource Efficient 3D Convolutional Neural Networks. CoRR abs/1904.02422 (2019) - [i2]Neslihan Kose, Okan Köpüklü, Alexander Unnervik, Gerhard Rigoll:
Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach. CoRR abs/1907.08009 (2019) - 2018
- [c11]Okan Köpüklü, Neslihan Kose, Gerhard Rigoll:
Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition. CVPR Workshops 2018: 2103-2111 - [i1]Okan Köpüklü, Neslihan Köse, Gerhard Rigoll:
Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition. CoRR abs/1804.07187 (2018) - 2017
- [c10]Neslihan Köse, Mohammadreza Babaee, Gerhard Rigoll:
Multi-view human activity recognition using motion frequency. ICIP 2017: 3963-3967 - 2015
- [c9]Neslihan Kose, Ludovic Apvrille, Jean-Luc Dugelay:
Facial makeup detection technique based on texture and shape analysis. FG 2015: 1-7 - [c8]Laura Turban, Denis Girard, Neslihan Kose, Jean-Luc Dugelay:
From Kinect video to realistic and animatable MPEG-4 face model: A complete framework. ICME Workshops 2015: 1-6 - 2014
- [b1]Neslihan Kose:
Spoofing and disguise variations in face recognition. (Leurrage et dissimulation en reconnaissance faciale : analyses et contre attaques). Télécom ParisTech, France, 2014 - [j2]Neslihan Kose, Jean-Luc Dugelay:
Mask spoofing in face recognition and countermeasures. Image Vis. Comput. 32(10): 779-789 (2014) - [j1]Rui Min, Neslihan Kose, Jean-Luc Dugelay:
KinectFaceDB: A Kinect Database for Face Recognition. IEEE Trans. Syst. Man Cybern. Syst. 44(11): 1534-1548 (2014) - 2013
- [c7]Neslihan Kose, Jean-Luc Dugelay:
Shape and Texture Based Countermeasure to Protect Face Recognition Systems against Mask Attacks. CVPR Workshops 2013: 111-116 - [c6]Neslihan Kose, Jean-Luc Dugelay:
Countermeasure for the protection of face recognition systems against mask attacks. FG 2013: 1-6 - [c5]Neslihan Kose, Jean-Luc Dugelay:
On the vulnerability of face recognition systems to spoofing mask attacks. ICASSP 2013: 2357-2361 - [c4]Neslihan Kose, Jean-Luc Dugelay:
Reflectance analysis based countermeasure technique to detect face mask attacks. DSP 2013: 1-6 - [c3]Marie-Lena Eckert, Neslihan Kose, Jean-Luc Dugelay:
Facial cosmetics database and impact analysis on automatic face recognition. MMSP 2013: 434-439 - 2012
- [c2]Neslihan Kose, Nesli Erdogmus, Jean-Luc Dugelay:
Block based face recognition approach robust to nose alterations. BTAS 2012: 121-126 - [c1]Nesli Erdogmus, Neslihan Kose, Jean-Luc Dugelay:
Impact analysis of nose alterations on 2D and 3D face recognition. MMSP 2012: 354-359
Coauthor Index
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last updated on 2024-07-09 04:19 CEST by the dblp team
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