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Abdullah Aydın Alatan
E-mail
alatan@metu.edu.tr
Department
Department of Electrical and Electronics Engineering
ORCID
0000-0001-5556-7301
Scopus Author ID
6701890979
Web of Science Researcher ID
E-3927-2012
Publications
Theses Advised
Open Courses
Projects
BI-DIRECTIONAL TRACKLET EMBEDDING FOR MULTI-OBJECT TRACKING
Bilgi, Halil Çağrı; Alatan, Abdullah Aydın (2024-10-17)
The last decade has seen significant advancements in multi-object tracking, particularly with the emergence of deep learning based methods. However, many prior studies in online tracking have primarily focused on enhancing...
Causal Transformer for Fusion and Pose Estimation in Deep Visual Inertial Odometry
Akman, Ahmet; Alatan, Abdullah Aydın; KURT, YUNUS BİLGE (2024-09-30)
IG-SLAM: Instant Gaussian SLAM
Sarıkamış, Furkan Aykut; Alatan, Abdullah Aydın (2024-09-30)
XoFTR: Cross-modal Feature Matching Transformer
Tuzcuoğlu, Önder; Köksal, Aybora; Sofu, Buğra; Kalkan, Sinan; Alatan, Abdullah Aydın (2024-06-16)
We introduce XoFTR a cross-modal cross-view method for local feature matching between thermal infrared (TIR) and visible images. Unlike visible images TIR images are less susceptible to adverse lighting and weather conditi...
Deep Metric Learning with Chance Constraints
GÜRBÜZ, YETİ ZİYA; Alatan, Abdullah Aydın; CAN, OĞUL (2024-01-08)
Knowledge Distillation Layer that Lets the Student Decide
GÖRGÜN, ADA; GÜRBÜZ, YETİ ZİYA; Alatan, Abdullah Aydın (2023-11-20)
GENERALIZABLE EMBEDDINGS WITH CROSS-BATCH METRIC LEARNING
GÜRBÜZ, YETİ ZİYA; Alatan, Abdullah Aydın (2023-10-08)
Global average pooling (GAP) is a popular component in deep metric learning (DML) for aggregating features. Its effectiveness is often attributed to treating each feature vector as a distinct semantic entity and GAP as a c...
Generalized Sum Pooling for Metric Learning
GÜRBÜZ, YETİ ZİYA; ŞENER, OZAN; Alatan, Abdullah Aydın (2023-10-02)
A common architectural choice for deep metric learning is a convolutional neural network followed by global average pooling ( GAP). Albeit simple, GAP is a highly effective way to aggregate information. One possible explan...
TMO-Det: Deep tone-mapping optimized with and for object detection
Koçdemir, İsmail Hakkı; Koz, Alper; Akyuz, Ahmet Oguz; Chalmers, Alan; Alatan, Abdullah Aydın; Kalkan, Sinan (2023-08-01)
Ground-based Hyperspectral Image Surveillance System for Explosive Detection: Methods, Experiments, and Comparisons
Kütük, Mustafa; Geneci, Izlen; Özdemir, Özlem; KOZ, ALPER; Esentürk, Okan; Çetin, Yasemin; Alatan, Abdullah Aydın (2023-01-01)
Explosive detection is crucial for public safety and confidence. Among various solutions for this purpose, hyperspectral imaging (HSI) differs from its alternatives with its detection capability from standoff distances. Ho...
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