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Hi there, I'm Okan okankop.github.io 👋


I'm a PhD Student at Technical University of Munich! I am supervised by Prof. Gerhard Rigoll. Before that, I received my Master's degree in Electrical Engineering from Technical University of Munich and my Bachelor's degree from Boğaziçi University in 2017 and 2014, respectively.

My research interests lie in computer vision, deep learning, and their applications. Specifically on tasks related to video understanding, gesture recognition and action localization.


Okan's github stats


Okan Köpüklü's Projects

asdnet icon asdnet

Audio-Visual Active Speaker Detection with PyTorch on AVA-ActiveSpeaker dataset

cnn-layer-reuse icon cnn-layer-reuse

PyTorch Implementation of "Convolutional Neural Networks with Layer Reuse", codes and pretrained models.

driver-anomaly-detection icon driver-anomaly-detection

PyTorch Implementation of "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach", codes and pretrained models.

efficient-3dcnns icon efficient-3dcnns

PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

mff-pytorch icon mff-pytorch

Motion Fused Frames implementation in PyTorch, codes and pretrained models.

real-time-gesrec icon real-time-gesrec

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture and Jester

vidaug icon vidaug

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

yowo icon yowo

You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization

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