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2020 – today
- 2025
[i17]Athanasios Tragakis, Chaitanya Kaul, Kevin J. Mitchell, Hang Dai, Roderick Murray-Smith, Daniele Faccio:
IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution. CoRR abs/2501.01723 (2025)- 2024
- [j4]James K. Ruffle
, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev:
Computational limits to the legibility of the imaged human brain. NeuroImage 291: 120600 (2024) - [j3]Chaitanya Kaul, Kevin J. Mitchell, Khaled Kassem, Athanasios Tragakis, Valentin Kapitany, Ilya Starshynov, Federica A. Villa, Roderick Murray-Smith, Daniele Faccio:
AI-Enabled Sensor Fusion of Time-of-Flight Imaging and mmWave for Concealed Metal Detection. Sensors 24(18): 5865 (2024) - [c12]Songpei Xu, Xuri Ge, Chaitanya Kaul, Roderick Murray-Smith:
HpEIS: Learning Hand Pose Embeddings for Multimedia Interactive Systems. ICME 2024: 1-6 - [c11]Athanasios Tragakis, Qianying Liu, Chaitanya Kaul, Swalpa Kumar Roy, Hang Dai, Fani Deligianni, Roderick Murray-Smith, Daniele Faccio:
Glfnet: Global-Local (Frequency) Filter Networks for Efficient Medical Image Segmentation. ISBI 2024: 1-5 - [c10]Athanasios Tragakis, Marco Aversa, Chaitanya Kaul, Roderick Murray-Smith, Daniele Faccio:
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models. NeurIPS 2024 - [i16]Athanasios Tragakis, Qianying Liu, Chaitanya Kaul, Swalpa Kumar Roy, Hang Dai, Fani Deligianni, Roderick Murray-Smith, Daniele Faccio:
GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation. CoRR abs/2403.00396 (2024) - [i15]Athanasios Tragakis, Marco Aversa, Chaitanya Kaul, Roderick Murray-Smith, Daniele Faccio:
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models. CoRR abs/2406.07251 (2024) - [i14]Songpei Xu, Xuri Ge, Chaitanya Kaul, Roderick Murray-Smith:
HpEIS: Learning Hand Pose Embeddings for Multimedia Interactive Systems. CoRR abs/2410.08779 (2024) - 2023
- [j2]Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris:
Survey: Leakage and Privacy at Inference Time. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9090-9108 (2023) - [c9]Qianying Liu, Chaitanya Kaul, Jun Wang, Christos Anagnostopoulos, Roderick Murray-Smith, Fani Deligianni:
Optimizing Vision Transformers for Medical Image Segmentation. ICASSP 2023: 1-5 - [c8]Kevin J. Mitchell, Khaled Kassem, Chaitanya Kaul, Valentin Kapitany, Philip Binner, Andrew Ramsay, Daniele Faccio, Roderick Murray-Smith:
mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor. ICASSP 2023: 1-5 - [c7]Songpei Xu, Chaitanya Kaul, Xuri Ge, Roderick Murray-Smith:
Continuous Interaction with A Smart Speaker via Low-Dimensional Embeddings of Dynamic Hand Pose. ICASSP 2023: 1-5 - [c6]Athanasios Tragakis, Chaitanya Kaul, Roderick Murray-Smith, Dirk Husmeier:
The Fully Convolutional Transformer for Medical Image Segmentation. WACV 2023: 3649-3658 - [i13]Songpei Xu, Chaitanya Kaul, Xuri Ge, Roderick Murray-Smith:
Continuous interaction with a smart speaker via low-dimensional embeddings of dynamic hand pose. CoRR abs/2302.14566 (2023) - [i12]Kevin J. Mitchell, Khaled Kassem, Chaitanya Kaul, Valentin Kapitany, Philip Binner, Andrew Ramsay, Roderick Murray-Smith, Daniele Faccio:
mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor. CoRR abs/2302.14625 (2023) - [i11]James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev:
The legibility of the imaged human brain. CoRR abs/2309.07096 (2023) - 2022
- [c5]Chaitanya Kaul, Joshua Mitton, Hang Dai, Roderick Murray-Smith:
Convolutional Point Transformer. ACCV (Workshops) 2022: 308-324 - [i10]Athanasios Tragakis, Chaitanya Kaul, Roderick Murray-Smith, Dirk Husmeier:
The Fully Convolutional Transformer for Medical Image Segmentation. CoRR abs/2206.00566 (2022) - [i9]Qianying Liu, Chaitanya Kaul, Jun Wang, Christos Anagnostopoulos, Roderick Murray-Smith, Fani Deligianni:
Optimizing Vision Transformers for Medical Image Segmentation. CoRR abs/2210.08066 (2022) - 2021
- [j1]Yan Jia, Chaitanya Kaul, Tom Lawton, Roderick Murray-Smith, Ibrahim Habli:
Prediction of weaning from mechanical ventilation using Convolutional Neural Networks. Artif. Intell. Medicine 117: 102087 (2021) - [c4]Chaitanya Kaul, Nick E. Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar:
Focusnet++: Attentive Aggregated Transformations For Efficient And Accurate Medical Image Segmentation. ISBI 2021: 1042-1046 - [i8]Chaitanya Kaul, Nick E. Pears, Suresh Manandhar:
FatNet: A Feature-attentive Network for 3D Point Cloud Processing. CoRR abs/2104.03427 (2021) - [i7]Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris:
Survey: Leakage and Privacy at Inference Time. CoRR abs/2107.01614 (2021) - [i6]Chaitanya Kaul, Joshua Mitton, Hang Dai, Roderick Murray-Smith:
CpT: Convolutional Point Transformer for 3D Point Cloud Processing. CoRR abs/2111.10866 (2021) - [i5]Joshua Mitton, Chaitanya Kaul, Roderick Murray-Smith:
Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image. CoRR abs/2111.13023 (2021) - 2020
- [c3]Chaitanya Kaul, Nick E. Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar:
Penalizing Small Errors Using an Adaptive Logarithmic Loss. ICPR Workshops (1) 2020: 368-375 - [c2]Chaitanya Kaul, Nick E. Pears, Suresh Manandhar:
FatNet: A Feature-attentive Network for 3D Point Cloud Processing. ICPR 2020: 7211-7218
2010 – 2019
- 2019
- [b1]Chaitanya Kaul:
Models of visual attention in deep residual CNNs. University of York, UK, 2019 - [c1]Chaitanya Kaul, Suresh Manandhar, Nick E. Pears:
Focusnet: An Attention-Based Fully Convolutional Network for Medical Image Segmentation. ISBI 2019: 455-458 - [i4]Chaitanya Kaul, Suresh Manandhar, Nick E. Pears:
FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation. CoRR abs/1902.03091 (2019) - [i3]Chaitanya Kaul, Nick E. Pears, Suresh Manandhar:
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing. CoRR abs/1905.07650 (2019) - [i2]Chaitanya Kaul, Nick E. Pears, Suresh Manandhar:
Penalizing small errors using an Adaptive Logarithmic Loss. CoRR abs/1910.09717 (2019) - [i1]Chaitanya Kaul, Nick E. Pears, Suresh Manandhar:
Divided We Stand: A Novel Residual Group Attention Mechanism for Medical Image Segmentation. CoRR abs/1912.02079 (2019)
Coauthor Index
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last updated on 2025-03-04 22:14 CET by the dblp team
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