16 citations · 60 across the 19 of their papers we have counts for
5 papers · 1 filter
Training a Vision Transformer from scratch in less than 24 hours with 1 GPU
Saghar Irandoust, Thibaut Durand, Yunduz Rakhmangulova +2
Transformers have become central to recent advances in computer vision. However, training a vision Transformer (ViT) model from scratch can be resource intensive and time consuming…
Adapting Grad-CAM for Embedding Networks
Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi +1
The gradient-weighted class activation mapping (Grad-CAM) method can faithfully highlight important regions in images for deep model prediction in image classification, image capti…
Learning to Detect Blue-white Structures in Dermoscopy Images with Weak Supervision
Ali Madooei, Mark S. Drew, Hossein Hajimirsadeghi
We propose a novel approach to identify one of the most significant dermoscopic criteria in the diagnosis of Cutaneous Melanoma: the Blue-whitish structure. In this paper, we achie…
Discovering Human Interactions in Videos with Limited Data Labeling
Mehran Khodabandeh, Arash Vahdat, Guang-Tong Zhou +4
We present a novel approach for discovering human interactions in videos. Activity understanding techniques usually require a large number of labeled examples, which are not availa…
Visual Recognition by Counting Instances: A Multi-Instance Cardinality Potential Kernel
Hossein Hajimirsadeghi, Wang Yan, Arash Vahdat +1
Many visual recognition problems can be approached by counting instances. To determine whether an event is present in a long internet video, one could count how many frames seem to…