1 citations · 3 across the 7 of their papers we have counts for
7 papers
IG-SLAM: Instant Gaussian SLAM
F. Aykut Sarikamis, A. Aydin Alatan
3D Gaussian Splatting has recently shown promising results as an alternative scene representation in SLAM systems to neural implicit representations. However, current methods eithe…
XoFTR: Cross-modal Feature Matching Transformer
Önder Tuzcuoğlu, Aybora Köksal, Buğra Sofu +2
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 suscep…
Knowledge Distillation Layer that Lets the Student Decide
Ada Gorgun, Yeti Z. Gurbuz, A. Aydin Alatan
Typical technique in knowledge distillation (KD) is regularizing the learning of a limited capacity model (student) by pushing its responses to match a powerful model's (teacher).…
Generalized Sum Pooling for Metric Learning
Yeti Z. Gurbuz, Ozan Sener, A. Aydın Alatan
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 a…
Generalizable Embeddings with Cross-batch Metric Learning
Yeti Z. Gurbuz, A. Aydin Alatan
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…
MAEVI: Motion Aware Event-Based Video Frame Interpolation
Ahmet Akman, Onur Selim Kılıç, A. Aydın Alatan
Utilization of event-based cameras is expected to improve the visual quality of video frame interpolation solutions. We introduce a learning-based method to exploit moving region b…