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09/15/2023
Modelling Irregularly Sampled Time Series Without Imputation
Modelling irregularly-sampled time series (ISTS) is challenging because ...
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08/14/2023
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems
Nearest neighbor (NN) sampling provides more semantic variations than pr...
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07/09/2023
Latent Graph Attention for Enhanced Spatial Context
Global contexts in images are quite valuable in image-to-image translati...
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03/09/2023
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts
Many real-world applications based on online learning produce streaming ...
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03/06/2023
MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval
Image retrieval has garnered growing interest in recent times. The curre...
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03/03/2023
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective
Coreset selection is among the most effective ways to reduce the trainin...
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03/02/2023
MiShape: 3D Shape Modelling of Mitochondria in Microscopy
Fluorescence microscopy is a quintessential tool for observing cells and...
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01/31/2023
Patch Gradient Descent: Training Neural Networks on Very Large Images
Traditional CNN models are trained and tested on relatively low resoluti...
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11/24/2022
On designing light-weight object trackers through network pruning: Use CNNs or transformers?
Object trackers deployed on low-power devices need to be light-weight, h...
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11/12/2022
MixBin: Towards Budgeted Binarization
Binarization has proven to be amongst the most effective ways of neural ...
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06/25/2022
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images
Convolutional neural network (CNN) approaches available in the current l...
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11/13/2021
Physics-guided Loss Functions Improve Deep Learning Performance in Inverse Scattering
Solving electromagnetic inverse scattering problems (ISPs) is challengin...
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08/26/2020
Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs
Streaming classification methods assume the number of input features is ...
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08/26/2020
Simulation-supervised deep learning for analysing organelles states and behaviour in living cells
In many real-world scientific problems, generating ground truth (GT) for...
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08/15/2020
Single image dehazing for a variety of haze scenarios using back projected pyramid network
Learning to dehaze single hazy images, especially using a small training...
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03/31/2020
Neural network based country wise risk prediction of COVID-19
The recent worldwide outbreak of the novel corona-virus (COVID-19) opene...
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02/15/2019
TMAV: Temporal Motionless Analysis of Video using CNN in MPSoC
Analyzing video for traffic categorization is an important pillar of Int...
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02/13/2019
Can We Automate Diagrammatic Reasoning?
Learning to solve diagrammatic reasoning (DR) can be a challenging but i...
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12/21/2018
Polygonal approximation of digital planar curve using novel significant measure
This paper presents an iterative smoothing technique for polygonal appro...
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10/19/2018
Enabling Grasp Action: Generalized Evaluation of Grasp Stability via Contact Stiffness from Contact Mechanics Insight
Performing a grasp is a pivotal capability for a robotic gripper. We pro...
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09/12/2018
Are object detection assessment criteria ready for maritime computer vision?
Maritime vessels equipped with visible and infrared cameras can compleme...
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05/16/2013
