3 citations · 9 across the 8 of their papers we have counts for
8 papers
Binding Visual Features Point by Point
Udith Haputhanthri, Declan Campbell, Rim Assouel +2
Despite success on standard benchmarks, vision language models display persistent failures on tasks involving processing of multi-object scenes, including many tasks that are relat…
Understanding and controlling the geometry of memory organization in RNNs
Udith Haputhanthri, Liam Storan, Yiqi Jiang +7
Training recurrent neural networks (RNNs) is a high-dimensional process that requires updating numerous parameters. Therefore, it is often difficult to pinpoint the underlying lear…
Deep Optical Coding Design in Computational Imaging
Henry Arguello, Jorge Bacca, Hasindu Kariyawasam +10
Computational optical imaging (COI) systems leverage optical coding elements (CE) in their setups to encode a high-dimensional scene in a single or multiple snapshots and decode it…
From Hours to Seconds: Towards 100x Faster Quantitative Phase Imaging via Differentiable Microscopy
Udith Haputhanthri, Kithmini Herath, Ramith Hettiarachchi +5
With applications ranging from metabolomics to histopathology, quantitative phase microscopy (QPM) is a powerful label-free imaging modality. Despite significant advances in fast m…
Differentiable Microscopy for Content and Task Aware Compressive Fluorescence Imaging
Udith Haputhanthri, Andrew Seeber, Dushan Wadduwage
The trade-off between throughput and image quality is an inherent challenge in microscopy. To improve throughput, compressive imaging under-samples image signals; the images are th…
Differentiable Microscopy Designs an All Optical Phase Retrieval Microscope
Kithmini Herath, Hasindu Kariyawasam, Ramith Hettiarachchi +7
Designing new optical systems from the ground up for microscopy imaging tasks such as phase retrieval, requires substantial scientific expertise and creativity. To augment the trad…
Towards Accurate Cross-Domain In-Bed Human Pose Estimation
Mohamed Afham, Udith Haputhanthri, Jathurshan Pradeepkumar +3
Human behavioral monitoring during sleep is essential for various medical applications. Majority of the contactless human pose estimation algorithms are based on RGB modality, caus…
A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds
Ramith Hettiarachchi, Udith Haputhanthri, Kithmini Herath +6
Diagnosing pre-existing heart diseases early in life is important as it helps prevent complications such as pulmonary hypertension, heart rhythm problems, blood clots, heart failur…