Skip to content
View okankop's full-sized avatar

Block or report okankop

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
okankop/README.md

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


Pinned Loading

  1. Efficient-3DCNNs Efficient-3DCNNs Public

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

    Python 774 150

  2. MFF-pytorch MFF-pytorch Public

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

    Python 131 33

  3. vidaug vidaug Public

    Effective Video Augmentation Techniques for Training Convolutional Neural Networks

    Python 387 78

  4. CNN-layer-reuse CNN-layer-reuse Public

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

    Python 24 5

  5. wei-tim/YOWO wei-tim/YOWO Public

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

    Python 847 158

  6. ahmetgunduz/Real-time-GesRec ahmetgunduz/Real-time-GesRec Public

    Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

    Python 635 167