1 citations · 4 across the 4 of their papers we have counts for
5 papers
LOCL: Learning Object-Attribute Composition using Localization
Satish Kumar, ASM Iftekhar, Ekta Prashnani +1
This paper describes LOCL (Learning Object Attribute Composition using Localization) that generalizes composition zero shot learning to objects in cluttered and more realistic sett…
What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions
A S M Iftekhar, Hao Chen, Kaustav Kundu +3
We propose a novel one-stage Transformer-based semantic and spatial refined transformer (SSRT) to solve the Human-Object Interaction detection task, which requires to localize huma…
StressNet: Detecting Stress in Thermal Videos
Satish Kumar, A S M Iftekhar, Michael Goebel +7
Precise measurement of physiological signals is critical for the effective monitoring of human vital signs. Recent developments in computer vision have demonstrated that signals su…
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
Oytun Ulutan, A S M Iftekhar, B. S. Manjunath
Comprehensive visual understanding requires detection frameworks that can effectively learn and utilize object interactions while analyzing objects individually. This is the main o…
CNN-Based Prediction of Frame-Level Shot Importance for Video Summarization
Mohaiminul Al Nahian, A. S. M. Iftekhar, Mohammad Tariqul Islam +2
In the Internet, ubiquitous presence of redundant, unedited, raw videos has made video summarization an important problem. Traditional methods of video summarization employ a heuri…