32 citations · 54 across the 11 of their papers we have counts for
8 papers · 1 filter
Smart Split-Federated Learning over Noisy Channels for Embryo Image Segmentation
Zahra Hafezi Kafshgari, Ivan V. Bajic, Parvaneh Saeedi
Split-Federated (SplitFed) learning is an extension of federated learning that places minimal requirements on the clients computing infrastructure, since only a small portion of th…
Rate-Distortion in Image Coding for Machines
Alon Harell, Anderson De Andrade, Ivan V. Bajic
In recent years, there has been a sharp increase in transmission of images to remote servers specifically for the purpose of computer vision. In many applications, such as surveill…
Towards Automated Swimming Analytics Using Deep Neural Networks
Timothy Woinoski, Alon Harell, Ivan V. Bajic
Methods for creating a system to automate the collection of swimming analytics on a pool-wide scale are considered in this paper. There has not been much work on swimmer tracking o…
Datasets for Face and Object Detection in Fisheye Images
Jianglin Fu, Ivan V. Bajic, Rodney G. Vaughan
We present two new fisheye image datasets for training face and object detection models: VOC-360 and Wider-360. The fisheye images are created by post-processing regular images col…
FDDB-360: Face Detection in 360-degree Fisheye Images
Jianglin Fu, Saeed Ranjbar Alvar, Ivan V. Bajic +1
360-degree cameras offer the possibility to cover a large area, for example an entire room, without using multiple distributed vision sensors. However, geometric distortions introd…
MV-YOLO: Motion Vector-aided Tracking by Semantic Object Detection
Saeed Ranjbar Alvar, Ivan V. Bajić
Object tracking is the cornerstone of many visual analytics systems. While considerable progress has been made in this area in recent years, robust, efficient, and accurate trackin…