2 citations · 3 across the 5 of their papers we have counts for
6 papers
Improving Large-Scale Recommender Systems with Auxiliary Learning
Mertcan Cokbas, Ziteng Liu, Zeyi Tao +10
Training large-scale recommendation models under a single global objective implicitly assumes homogeneity across user populations. However, real-world data are composites of hetero…
Complexity Evaluation of Parallel Execution of the RAPiD Deep-Learning Algorithm on Intel CPU
Dominic Konrad, Zhihao Duan, Mertcan Cokbas +1
Knowing how many and where are people in various indoor spaces is critical for reducing HVAC energy waste, space management, spatial analytics and in emergency scenarios. While a r…
Estimating Distances Between People using a Single Overhead Fisheye Camera with Application to Social-Distancing Oversight
Zhangchi Lu, Mertcan Cokbas, Prakash Ishwar +1
Unobtrusive monitoring of distances between people indoors is a useful tool in the fight against pandemics. A natural resource to accomplish this are surveillance cameras. Unlike p…
Spatio-Visual Fusion-Based Person Re-Identification for Overhead Fisheye Images
Mertcan Cokbas, Prakash Ishwar, Janusz Konrad
Person re-identification (PRID) has been thoroughly researched in typical surveillance scenarios where various scenes are monitored by side-mounted, rectilinear-lens cameras. To da…
FRIDA: Fisheye Re-Identification Dataset with Annotations
Mertcan Cokbas, John Bolognino, Janusz Konrad +1
Person re-identification (PRID) from side-mounted rectilinear-lens cameras is a well-studied problem. On the other hand, PRID from overhead fisheye cameras is new and largely unstu…
Low-Resolution Overhead Thermal Tripwire for Occupancy Estimation
Mertcan Cokbas, Prakash Ishwar, Janusz Konrad
Smart buildings use occupancy sensing for various tasks ranging from energy-efficient HVAC and lighting to space-utilization analysis and emergency response. We propose a people co…