Block based face recognition approach robust to nose alterations. - Neslihan Kose; Nesli Erdogmus; Jean-Luc Dugelay (BTAS, 2012)

Impact analysis of nose alterations on 2D and 3D face recognition. - Nesli Erdogmus; Neslihan Kose; Jean-Luc Dugelay (MMSP, 2012)

Shape and Texture Based Countermeasure to Protect Face Recognition Systems against Mask Attacks. - Neslihan Kose; Jean-Luc Dugelay (CVPR Workshops, 2013)

Countermeasure for the protection of face recognition systems against mask attacks. - Neslihan Kose; Jean-Luc Dugelay (FG, 2013)

On the vulnerability of face recognition systems to spoofing mask attacks. - Neslihan Kose; Jean-Luc Dugelay (ICASSP, 2013)

Reflectance analysis based countermeasure technique to detect face mask attacks. - Neslihan Kose; Jean-Luc Dugelay (DSP, 2013)

Facial cosmetics database and impact analysis on automatic face recognition. - Marie-Lena Eckert; Neslihan Kose; Jean-Luc Dugelay (MMSP, 2013)

Mask spoofing in face recognition and countermeasures. - Neslihan Kose; Jean-Luc Dugelay (Image Vis. Comput., 2014)

KinectFaceDB: A Kinect Database for Face Recognition. - Rui Min 002; Neslihan Kose; Jean-Luc Dugelay (IEEE Trans. Syst. Man Cybern. Syst., 2014)

Spoofing and disguise variations in face recognition. (Leurrage et dissimulation en reconnaissance faciale : analyses et contre attaques). - Neslihan Kose (2014)

Facial makeup detection technique based on texture and shape analysis. - Neslihan Kose; Ludovic Apvrille; Jean-Luc Dugelay (FG, 2015)

From Kinect video to realistic and animatable MPEG-4 face model: A complete framework. - Laura Turban; Denis Girard; Neslihan Kose; Jean-Luc Dugelay (ICME Workshops, 2015)

Multi-view human activity recognition using motion frequency. - Neslihan Köse; Mohammadreza Babaee; Gerhard Rigoll (ICIP, 2017)

Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition. - Okan Köpüklü; Neslihan Kose; Gerhard Rigoll (CVPR Workshops, 2018)

Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks. - Okan Köpüklü; Ahmet Gunduz; Neslihan Kose; Gerhard Rigoll (FG, 2019)

Resource Efficient 3D Convolutional Neural Networks. - Okan Köpüklü; Neslihan Kose; Ahmet Gunduz; Gerhard Rigoll (ICCV Workshops, 2019)

Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach. - Neslihan Kose; Okan Köpüklü; Alexander Unnervik; Gerhard Rigoll (ITSC, 2019)

Using High Performance Computing in Vehicles to Create Image Datasets for Deep Learning. - Branimir Malnar; Alexander Unnervik; Neslihan Köse (MIPRO, 2019)

DMD: A Large-Scale Multi-modal Driver Monitoring Dataset for Attention and Alertness Analysis. - Juan Diego Ortega; Neslihan Kose; Paola Cañas; Min-An Chao; Alexander Unnervik; Marcos Nieto; Oihana Otaegui; Luis Salgado (ECCV Workshops (4), 2020)

DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework. - Okan Köpüklü; Thomas Ledwon; Yao Rong; Neslihan Kose; Gerhard Rigoll (FG, 2020)

Online Dynamic Hand Gesture Recognition Including Efficiency Analysis. - Okan Köpüklü; Ahmet Gunduz; Neslihan Kose; Gerhard Rigoll (IEEE Trans. Biom. Behav. Identity Sci., 2020)

Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization. - Neslihan Kose; Ranganath Krishnan; Akash Dhamasia; Omesh Tickoo; Michael Paulitsch (ECCV Workshops (5), 2022)

BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture. - Syed Sha Qutub; Neslihan Köse Cihangir; Rafael Rosales; Michael Paulitsch; Korbinian Hagn; Florian Geissler; Yang Peng; Gereon Hinz; Alois C. Knoll (BMVC, 2023)

Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection. - Syed Sha Qutub; Michael Paulitsch; Kay-Ulrich Scholl; Neslihan Köse Cihangir; Korbinian Hagn; Fabian Oboril; Gereon Hinz; Alois Knoll (CVPR Workshops, 2024)