DeepAI

Ramazan Gokberk Cinbis

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Middle East Technical University

Featured Co-authors

Cordelia Schmid
131 publications
Ivan Laptev
67 publications
Josef Sivic
51 publications
Jakob Verbeek
33 publications
Jean-Baptiste Alayrac
30 publications
Erman Ayday
23 publications
Emre Akbaş
23 publications
Gencer Sumbul
16 publications
Nazli Ikizler-Cinbis
13 publications
Pinar Duygulu
12 publications
David Fouhey
7 publications

∙ 04/28/2022

Streaming Multiscale Deep Equilibrium Models

We present StreamDEQ, a method that infers frame-wise representations on...

Can Ufuk Ertenli, et al. ∙

∙ 01/26/2022

How Robust are Discriminatively Trained Zero-Shot Learning Models?

Data shift robustness has been primarily investigated from a fully super...

Mehmet Kerim Yucel, et al. ∙

∙ 01/15/2022

Towards Zero-shot Sign Language Recognition

This paper tackles the problem of zero-shot sign language recognition (Z...

Yunus Can Bilge, et al. ∙

∙ 01/09/2022

Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples

Over the last couple of years few-shot learning (FSL) has attracted grea...

Orhun Bugra Baran, et al. ∙

∙ 10/23/2021

MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation

Just like other few-shot learning problems, few-shot segmentation aims t...

Mustafa Sercan Amac, et al. ∙

∙ 08/13/2021

Detection and Captioning with Unseen Object Classes

Image caption generation is one of the most challenging problems at the ...

Berkan Demirel, et al. ∙

∙ 05/23/2021

Weakly Supervised Instance Attention for Multisource Fine-Grained Object Recognition with an Application to Tree Species Classification

Multisource image analysis that leverages complementary spectral, spatia...

Bulut Aygunes, et al. ∙

∙ 09/16/2020

Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos

In many real-world problems, there is typically a large discrepancy betw...

Yunus Can Bilge, et al. ∙

∙ 08/17/2020

A Deep Dive into Adversarial Robustness in Zero-Shot Learning

Machine learning (ML) systems have introduced significant advances in va...

Mehmet Kerim Yucel, et al. ∙

∙ 08/27/2019

Key Protected Classification for Collaborative Learning

Large-scale datasets play a fundamental role in training deep learning m...

Mert Bülent Sarıyıldız, et al. ∙

∙ 07/31/2019

Image Captioning with Unseen Objects

Image caption generation is a long standing and challenging problem at t...

Berkan Demirel, et al. ∙

∙ 07/24/2019

Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?

We introduce the problem of zero-shot sign language recognition (ZSSLR),...

Yunus Can Bilge, et al. ∙

∙ 05/16/2019

Learning Visually Consistent Label Embeddings for Zero-Shot Learning

In this work, we propose a zero-shot learning method to effectively mode...

Berkan Demirel, et al. ∙

∙ 03/19/2019

Cross-task weakly supervised learning from instructional videos

In this paper we investigate learning visual models for the steps of ord...

Dimitri Zhukov, et al. ∙

∙ 01/18/2019

Multisource Region Attention Network for Fine-Grained Object Recognition in Remote Sensing Imagery

Fine-grained object recognition concerns the identification of the type ...

Gencer Sumbul, et al. ∙

∙ 05/19/2018

Wildest Faces: Face Detection and Recognition in Violent Settings

With the introduction of large-scale datasets and deep learning models c...

Mehmet Kerim Yucel, et al. ∙

∙ 05/16/2018

Zero-Shot Object Detection by Hybrid Region Embedding

Object detection is considered as one of the most challenging problems i...

Berkan Demirel, et al. ∙

∙ 12/09/2017

Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery

Fine-grained object recognition that aims to identify the type of an obj...

Gencer Sumbul, et al. ∙

∙ 05/04/2017

Attributes2Classname: A discriminative model for attribute-based unsupervised zero-shot learning

We propose a novel approach for unsupervised zero-shot learning (ZSL) of...

Berkan Demirel, et al. ∙

∙ 10/03/2015

Approximate Fisher Kernels of non-iid Image Models for Image Categorization

The bag-of-words (BoW) model treats images as sets of local descriptors ...

Ramazan Gokberk Cinbis, et al. ∙

∙ 03/03/2015

Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning

Object category localization is a challenging problem in computer vision...

Ramazan Gokberk Cinbis, et al. ∙