21 citations · 35 across the 3 of their papers we have counts for
4 papers
The Case for High-Accuracy Classification: Think Small, Think Many!
Mohammad Hosseini, Mahmudul Hasan
To facilitate implementation of high-accuracy deep neural networks especially on resource-constrained devices, maintaining low computation requirements is crucial. Using very deep…
Improving Multimodal Accuracy Through Modality Pre-training and Attention
Aya Abdelsalam Ismail, Mahmudul Hasan, Faisal Ishtiaq
Training a multimodal network is challenging and it requires complex architectures to achieve reasonable performance. We show that one reason for this phenomena is the difference b…
Context-Aware Query Selection for Active Learning in Event Recognition
Mahmudul Hasan, Sujoy Paul, Anastasios I. Mourikis +1
Activity recognition is a challenging problem with many practical applications. In addition to the visual features, recent approaches have benefited from the use of context, e.g.,…
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan, Jonghyun Choi, Jan Neumann +2
Perceiving meaningful activities in a long video sequence is a challenging problem due to ambiguous definition of 'meaningfulness' as well as clutters in the scene. We approach thi…