19 citations · 33 across the 5 of their papers we have counts for
5 papers
SELF-VS: Self-supervised Encoding Learning For Video Summarization
Hojjat Mokhtarabadi, Kave Bahraman, Mehrdad HosseinZadeh +1
Despite its wide range of applications, video summarization is still held back by the scarcity of extensive datasets, largely due to the labor-intensive and costly nature of frame-…
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation
Yong Wu, Shekhor Chanda, Mehrdad Hosseinzadeh +2
We consider a new problem of few-shot learning of compact models. Meta-learning is a popular approach for few-shot learning. Previous work in meta-learning typically assumes that t…
Unsupervised Learning of Camera Pose with Compositional Re-estimation
Seyed Shahabeddin Nabavi, Mehrdad Hosseinzadeh, Ramin Fahimi +1
We consider the problem of unsupervised camera pose estimation. Given an input video sequence, our goal is to estimate the camera pose (i.e. the camera motion) between consecutive…
Towards Shape Biased Unsupervised Representation Learning for Domain Generalization
Nader Asadi, Amir M. Sarfi, Mehrdad Hosseinzadeh +2
It is known that, without awareness of the process, our brain appears to focus on the general shape of objects rather than superficial statistics of context. On the other hand, lea…
Crowd Counting Using Scale-Aware Attention Networks
Mohammad Asiful Hossain, Mehrdad Hosseinzadeh, Omit Chanda +1
In this paper, we consider the problem of crowd counting in images. Given an image of a crowded scene, our goal is to estimate the density map of this image, where each pixel value…