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2018 - 2024 Deputy Head of Department
Middle East Technical University
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RANKING BASED LOSSES FOR HUMAN POSE ESTIMATION
AKBAŞ E. (Advisor)
M.CAN(Student), Postgraduate, 2025 -
Addressing Class Imbalance, Label Uncertainty, and Crispness in Edge Detection
AKBAŞ E. (Advisor)
B.ÇETİNKAYA(Student), Doctorate, 2025 -
Refurbished Embeddings with Integrated Guidance Networks for Efficient Context-Length Scaling
AKBAŞ E. (Advisor)
A.DEVRİM(Student), Postgraduate, 2025 -
Incorporating piecewise linear functions with constant regions in backpropagation
AKBAŞ E. (Advisor)
A.HARUN(Student), Postgraduate, 2025 -
Bucketing ranking-based losses for efficient training ofobject detectors
AKBAŞ E. (Advisor)
F.YAVUZ(Student), Postgraduate, 2025 -
AUGMENTING CLIP-BASED FEW SHOT RECOGNITION USING SHAPES AND CONCEPTS
AKBAŞ E. (Advisor)
E.GÜDER(Student), Postgraduate, 2025 -
Interpretable Zero-shot Classification with Concept Bottleneck Models
AKBAŞ E. (Advisor)
O.ÖZDEMİR(Student), Postgraduate, 2025 -
A novel scalable global alignment method for 3D reconstruction
AKBAŞ E. (Advisor)
Ş.UMUTCAN(Student), Postgraduate, 2025 -
Real-time joint multi-camera multi-person tracking
AKBAŞ E. (Advisor)
A.TARIK(Student), Postgraduate, 2024 -
On calibrating deep object detectors
AKBAŞ E. (Advisor)
M.ERTUĞRUL(Student), Postgraduate, 2024 -
Self-supervised learning for unsupervised image classification and supervised localization tasks
AKBAŞ E. (Advisor)
M.BAYDAR(Student), Doctorate, 2024 -
Using a ranking-based loss for long-tailed visual recognition
AKBAŞ E. (Advisor)
B.GÜLMEZ(Student), Postgraduate, 2024 -
Exploiting spatial redundancy in feature maps to accelerate convolutional neural networks
AKBAŞ E. (Advisor)
M.YASİN(Student), Postgraduate, 2024 -
Mitigating class imbalance in long-tailed visual recognition through the use of intrinsic dimensionality
AKBAŞ E. (Advisor)
Ç.ESER(Student), Postgraduate, 2024 -
The effect of language input in semantic segmentation and grading of colorectal cancer with language-vision models
AKBAŞ E. (Advisor)
S.ŞEHLAVER(Student), Postgraduate, 2024 -
Exploring dense depth predictions as a supervision source for human pose and shape estimation
AKBAŞ E. (Advisor)
B.KARAGÖZ(Student), Doctorate, 2024 -
Systematic evaluation of the effects of low-resolution and monochrome images on instant neural graphic primitives based 3d reconstruction
AKBAŞ E. (Advisor)
İ.EREN(Student), Postgraduate, 2023 -
Bridging the MoCap-to-visual domain gap in human mesh recovery from 2D keypoints
AKBAŞ E. (Advisor)
B.UĞUZ(Student), Postgraduate, 2023 -
Human pose and shape estimation based on masked mesh modelling from single view RGBD
AKBAŞ E. (Advisor)
Ö.SUAT(Student), Postgraduate, 2023 -
A deep learning approach to proton background rejection for positron analysis with the AMS electromagnetic calorimeter
AKBAŞ E. (Advisor)
R.KARIM(Student), Postgraduate, 2023 -
Image generation using only a discriminator network with gradient norm penalty
AKBAŞ E. (Advisor)
C.CEMRE(Student), Postgraduate, 2022 -
Quantifying and mitigating class imbalance in long-tailed visual recognition
AKBAŞ E. (Advisor)
Z.SONAT(Student), Postgraduate, 2022 -
Generating illustrations for children books using generative adversarial networks
AKBAŞ E. (Advisor)
S.HİÇSÖNMEZ(Student), Doctorate, 2022 -
Streaming multiscale deep equilibrium models
AKBAŞ E. (Advisor)
C.UFUK(Student), Postgraduate, 2022 -
Character generation through self supervised vectorization
AKBAŞ E. (Advisor)
G.GÖKÇEOĞLU(Student), Postgraduate, 2022 -
Correlation loss: Enforcing correlation between classification and localization in object detection
AKBAŞ E. (Advisor)
F.KAHRAMAN(Student), Postgraduate, 2022 -
UTILIZING VIDEO COLORIZATION AS A SELF-SUPERVISED AUXILIARY TASK FOR OBJECT TRACKING
AKBAŞ E. (Advisor)
E.FIRAT(Student), Postgraduate, 2021 -
Identifying and addressing imbalance problems in visual detection
AKBAŞ E. (Advisor)
K.ÖKSÜZ(Student), Doctorate, 2021 -
Image generation by back-propagation on input using a discriminator network
AKBAŞ E. (Advisor)
M.TAPLI(Student), Postgraduate, 2021 -
Integrating near and long-range evidence for visual detection
AKBAŞ E. (Advisor)
N.SAMET(Student), Doctorate, 2021 -
Training object detectors by directly optimizing LRP metric
AKBAŞ E. (Advisor)
B.CAN(Student), Postgraduate, 2020 -
Automated learning rate search using batch-level cross-validation
AKBAŞ E. (Advisor)
D.KABAKCI(Student), Postgraduate, 2019 -
Human activity prediction using lifelogging data
AKBAŞ E. (Advisor)
G.SARIARSLAN(Student), Postgraduate, 2019 -
Early-exit convolutional neural networks
AKBAŞ E. (Advisor)
E.DEMİR(Student), Postgraduate, 2019 -
Does estimated depth help object detection?
AKBAŞ E. (Advisor)
B.ÇETİNKAYA(Student), Postgraduate, 2019 -
2D/3D human pose estimation using deep convolutional neural nets
AKBAŞ E. (Advisor)
M.KOCABAŞ(Student), Postgraduate, 2019 -
Rescoring detections based on contextual scores in object detection
AKBAŞ E. (Advisor)
E.VURAL(Student), Postgraduate, 2019 -
Activity prediction from auto-captured lifelog images
AKBAŞ E. (Advisor)
K.BELLİ(Student), Postgraduate, 2019 -
Improved knowledge distillation with Dynamic Network Pruning
AKBAŞ E. (Advisor)
E.ŞENER(Student), Postgraduate, 2019 -
Decoding cognitive states using the bag of words model on fMRI time series
AKBAŞ E. (Advisor)
G.SUCU(Student), Postgraduate, 2017