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07/05/2021
Semi-supervised Learning for Dense Object Detection in Retail Scenes
Retail scenes usually contain densely packed high number of objects in e...
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12/28/2020
Commonsense Visual Sensemaking for Autonomous Driving: On Generalised Neurosymbolic Online Abduction Integrating Vision and Semantics
We demonstrate the need and potential of systematically integrated visio...
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12/19/2019
Benchmark for Generic Product Detection: A strong baseline for Dense Object Detection
Object detection in densely packed scenes is a new area where standard o...
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05/31/2019
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving
We demonstrate the need and potential of systematically integrated visio...
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08/22/2018
Multidomain Document Layout Understanding using Few Shot Object Detection
We try to address the problem of document layout understanding using a s...
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03/19/2018
Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset
We propose a weakly supervised method using two algorithms to predict ob...
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11/20/2017
Detection of Tooth caries in Bitewing Radiographs using Deep Learning
We develop a Computer Aided Diagnosis (CAD) system, which enhances the p...
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10/25/2017
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks
This work is an endeavor to develop a deep learning methodology for auto...
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10/13/2017