activity
20152026
most citedFood Recognition using Fusion of Classifiers based on CNNs

54 citations · 156 across the 42 of their papers we have counts for

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Showing 2018 · cs.CVShow all

5 papers · 2 filters

cs.CV2018

On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams

Alejandro Cartas, Estefania Talavera, Petia Radeva +1

Event boundaries play a crucial role as a pre-processing step for detection, localization, and recognition tasks of human activities in videos. Typically, although their intrinsic…

cs.CV2018

MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams

Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefania Talavera +3

First-person (wearable) camera continually captures unscripted interactions of the camera user with objects, people, and scenes reflecting his personal and relational tendencies. O…

cs.CV2018

CuisineNet: Food Attributes Classification using Multi-scale Convolution Network

Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan +4

Diversity of food and its attributes represents the culinary habits of peoples from different countries. Thus, this paper addresses the problem of identifying food culture of peopl…

cs.CV2018

SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks

Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram +8

Skin lesion segmentation (SLS) in dermoscopic images is a crucial task for automated diagnosis of melanoma. In this paper, we present a robust deep learning SLS model, so-called SL…

cs.CV2018

Smartphone picture organization: A hierarchical approach

Stefan Lonn, Petia Radeva, Mariella Dimiccoli

We live in a society where the large majority of the population has a camera-equipped smartphone. In addition, hard drives and cloud storage are getting cheaper and cheaper, leadin…