79 citations · 174 across the 39 of their papers we have counts for
6 papers · 1 filter
Unsupervised Image Classification with Adaptive Nearest Neighbor Selection and Cluster Ensembles
Melih Baydar, Emre Akbas
Unsupervised image classification, or image clustering, aims to group unlabeled images into semantically meaningful categories. Early methods integrated representation learning and…
RSPose: Ranking Based Losses for Human Pose Estimation
Muhammed Can Keles, Bedrettin Cetinkaya, Sinan Kalkan +1
While heatmap-based human pose estimation methods have shown strong performance, they suffer from three main problems: (P1) "Commonly used Mean Squared Error (MSE)" Loss may not al…
Intrinsic Dimensionality as a Model-Free Measure of Class Imbalance
Çağrı Eser, Zeynep Sonat Baltacı, Emre Akbaş +1
Imbalance in classification tasks is commonly quantified by the cardinalities of examples across classes. This, however, disregards the presence of redundant examples and inherent…
3D Human Mesh Estimation from Single View RGBD
Ozhan Suat, Bedirhan Uguz, Batuhan Karagoz +2
Despite significant progress in 3D human mesh estimation from RGB images; RGBD cameras, offering additional depth data, remain underutilized. In this paper, we present a method for…
Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection
Francesco Dalmonte, Emirhan Bayar, Emre Akbas +1
Anomaly detection in medical images is an important yet challenging task due to the diversity of possible anomalies and the practical impossibility of collecting comprehensively an…
Colorectal Cancer Tumor Grade Segmentation in Digital Histopathology Images: From Giga to Mini Challenge
Alper Bahcekapili, Duygu Arslan, Umut Ozdemir +16
Colorectal cancer (CRC) is the third most diagnosed cancer and the second leading cause of cancer-related death worldwide. Accurate histopathological grading of CRC is essential fo…