Search Results - "Kaul, Chaitanya"

Computational limits to the legibility of the imaged human brain by Ruffle, James K., Gray, Robert J, Mohinta, Samia, Pombo, Guilherme, Kaul, Chaitanya, Hyare, Harpreet, Rees, Geraint, Nachev, Parashkev

“…•Individuals remain poorly predictable from population-level analyses of the brain.•The fidelity limits data scale, compute, and model flexibility impose are…”
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AI-Enabled Sensor Fusion of Time-of-Flight Imaging and mmWave for Concealed Metal Detection by Kaul, Chaitanya, Mitchell, Kevin J, Kassem, Khaled, Tragakis, Athanasios, Kapitany, Valentin, Starshynov, Ilya, Villa, Federica, Murray-Smith, Roderick, Faccio, Daniele

“…In the field of detection and ranging, multiple complementary sensing modalities may be used to enrich information obtained from a dynamic scene. One…”
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Focusnet: An Attention-Based Fully Convolutional Network for Medical Image Segmentation by Kaul, Chaitanya, Manandhar, Suresh, Pears, Nick

“…We propose a novel technique to incorporate attention within convolutional neural networks using feature maps generated by a separate convolutional…”
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The Fully Convolutional Transformer for Medical Image Segmentation by Tragakis, Athanasios, Kaul, Chaitanya, Murray-Smith, Roderick, Husmeier, Dirk

“…We propose a novel transformer, capable of segmenting medical images of varying modalities. Challenges posed by the fine-grained nature of medical image…”
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Prediction of weaning from mechanical ventilation using Convolutional Neural Networks by Jia, Yan, Kaul, Chaitanya, Lawton, Tom, Murray-Smith, Roderick, Habli, Ibrahim

“…•Present a decision support system (DSS) that uses available patient information to predict time to weaning readiness.•The DSS predict the most appropriate…”
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Survey: Leakage and Privacy at Inference Time by Jegorova, Marija, Kaul, Chaitanya, Mayor, Charlie, O'Neil, Alison Q., Weir, Alexander, Murray-Smith, Roderick, Tsaftaris, Sotirios A.

“…Leakage of data from publicly available Machine Learning (ML) models is an area of growing significance since commercial and government applications of ML can…”
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FatNet: A Feature-attentive Network for 3D Point Cloud Processing by Kaul, Chaitanya, Pears, Nick, Manandhar, Suresh

“…The application of deep learning to 3D point clouds is challenging due to its lack of order. Inspired by the point embeddings of PointNet and the edge…”
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Continuous Interaction with A Smart Speaker via Low-Dimensional Embeddings of Dynamic Hand Pose by Xu, Songpei, Kaul, Chaitanya, Ge, Xuri, Murray-Smith, Roderick

“…This paper presents a new continuous interaction strategy with visual feedback of hand pose and mid-air gesture recognition and control for a smart music…”
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Optimizing Vision Transformers for Medical Image Segmentation by Liu, Qianying, Kaul, Chaitanya, Wang, Jun, Anagnostopoulos, Christos, Murray-Smith, Roderick, Deligianni, Fani

“…For medical image semantic segmentation (MISS), Vision Transformers have emerged as strong alternatives to convolutional neural networks thanks to their…”
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Focusnet++: Attentive Aggregated Transformations For Efficient And Accurate Medical Image Segmentation by Kaul, Chaitanya, Pears, Nick, Dai, Hang, Murray-Smith, Roderick, Manandhar, Suresh

“…We propose a new residual block for convolutional neural networks and demonstrate its state-of-the-art performance in medical image segmentation. We combine…”
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Models of Visual Attention in Deep Residual Cnns by Kaul, Chaitanya

“…Feature reuse from earlier layers in neural network hierarchies has been shown to improve the quality of features at a later stage - a concept known as…”
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Glfnet: Global-Local (Frequency) Filter Networks for Efficient Medical Image Segmentation by Tragakis, Athanasios, Liu, Qianying, Kaul, Chaitanya, Roy, Swalpa Kumar, Dai, Hang, Deligianni, Fani, Murray-Smith, Roderick, Faccio, Daniele

“…We propose a novel transformer-style architecture called Global-Local Filter Network (GLFNet) for medical image segmentation and demonstrate its…”
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mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor by Mitchell, Kevin, Kassem, Khaled, Kaul, Chaitanya, Kapitany, Valentin, Binner, Philip, Ramsay, Andrew, Faccio, Daniele, Murray-Smith, Roderick

“…For widespread adoption, public security and surveillance systems must be accurate, portable, compact, and real-time, without impeding the privacy of the…”
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High Accuracy Predictive Model on Breast Cancer Using Ensemble Approach of Supervised Machine Learning Algorithms by Kaul, Chaitanya, Sharma, Neeraj

“…This research article is based on the ensemble approach of different supervised machine learning algorithms to identify the early stages of breast cancer…”
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HpEIS: Learning Hand Pose Embeddings for Multimedia Interactive Systems by Xu, Songpei, Ge, Xuri, Kaul, Chaitanya, Murray-Smith, Roderick

“…We present a novel Hand-pose Embedding Interactive System (HpEIS) as a virtual sensor, which maps users' flexible hand poses to a two-dimensional visual space…”
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HpEIS: Learning Hand Pose Embeddings for Multimedia Interactive Systems by Xu, Songpei, Ge, Xuri, Kaul, Chaitanya, Murray-Smith, Roderick

“…We present a novel Hand-pose Embedding Interactive System (HpEIS) as a virtual sensor, which maps users' flexible hand poses to a two-dimensional visual space…”
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Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image by Mitton, Joshua, Kaul, Chaitanya, Murray-Smith, Roderick

“…We develop a rotation equivariant model for generating 3D hand meshes from 2D RGB images. This guarantees that as the input image of a hand is rotated the…”
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Continuous interaction with a smart speaker via low-dimensional embeddings of dynamic hand pose by Xu, Songpei, Kaul, Chaitanya, Ge, Xuri, Murray-Smith, Roderick

“…This paper presents a new continuous interaction strategy with visual feedback of hand pose and mid-air gesture recognition and control for a smart music…”
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FatNet: A Feature-attentive Network for 3D Point Cloud Processing by Kaul, Chaitanya, Pears, Nick, Manandhar, Suresh

“…The application of deep learning to 3D point clouds is challenging due to its lack of order. Inspired by the point embeddings of PointNet and the edge…”
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Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models by Tragakis, Athanasios, Aversa, Marco, Kaul, Chaitanya, Murray-Smith, Roderick, Faccio, Daniele

“…In this work, we introduce Pixelsmith, a zero-shot text-to-image generative framework to sample images at higher resolutions with a single GPU. We are the…”
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