Chaitanya Kaul

35 papers A* 2A 2B 1Misc 3Journal 21Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	HandSolo: A Mid-Air Hand Pose Interaction Method Based on Disentangled Degrees-of-Hand-Freedom. ACM Multimedia Songpei Xu, Xuri Ge, Chaitanya Kaul, Roderick Murray-Smith
2025	J	`jnl`	IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution. CoRR Athanasios Tragakis, Chaitanya Kaul, Kevin J. Mitchell, Hang Dai, Roderick Murray-Smith, Daniele Faccio
2024	J	`jnl`	AI-Enabled Sensor Fusion of Time-of-Flight Imaging and mmWave for Concealed Metal Detection. Sensors Chaitanya Kaul, Kevin J. Mitchell, Khaled Kassem, Athanasios Tragakis, Valentin Kapitany, Ilya Starshynov, Federica A. Villa, Roderick Murray-Smith, Daniele Faccio
2024	J	`jnl`	Computational limits to the legibility of the imaged human brain. NeuroImage James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
2024	J	`jnl`	GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation. CoRR Athanasios Tragakis, Qianying Liu, Chaitanya Kaul, Swalpa Kumar Roy, Hang Dai, Fani Deligianni, Roderick Murray-Smith, Daniele Faccio
2024	—	`conf`	Glfnet: Global-Local (Frequency) Filter Networks for Efficient Medical Image Segmentation. ISBI Athanasios Tragakis, Qianying Liu, Chaitanya Kaul, Swalpa Kumar Roy, Hang Dai, Fani Deligianni, Roderick Murray-Smith, Daniele Faccio
2024	A	`conf`	HpEIS: Learning Hand Pose Embeddings for Multimedia Interactive Systems. ICME Songpei Xu, Xuri Ge, Chaitanya Kaul, Roderick Murray-Smith
2024	J	`jnl`	HpEIS: Learning Hand Pose Embeddings for Multimedia Interactive Systems. CoRR Songpei Xu, Xuri Ge, Chaitanya Kaul, Roderick Murray-Smith
2024	A*	`conf`	Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models. NeurIPS Athanasios Tragakis, Marco Aversa, Chaitanya Kaul, Roderick Murray-Smith, Daniele Faccio
2024	J	`jnl`	Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models. CoRR Athanasios Tragakis, Marco Aversa, Chaitanya Kaul, Roderick Murray-Smith, Daniele Faccio
2023	Misc	`conf`	Continuous Interaction with A Smart Speaker via Low-Dimensional Embeddings of Dynamic Hand Pose. ICASSP Songpei Xu, Chaitanya Kaul, Xuri Ge, Roderick Murray-Smith
2023	J	`jnl`	Continuous interaction with a smart speaker via low-dimensional embeddings of dynamic hand pose. CoRR Songpei Xu, Chaitanya Kaul, Xuri Ge, Roderick Murray-Smith
2023	Misc	`conf`	Optimizing Vision Transformers for Medical Image Segmentation. ICASSP Qianying Liu, Chaitanya Kaul, Jun Wang, Christos Anagnostopoulos, Roderick Murray-Smith, Fani Deligianni
2023	J	`jnl`	Survey: Leakage and Privacy at Inference Time. IEEE Trans. Pattern Anal. Mach. Intell. Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris
2023	A	`conf`	The Fully Convolutional Transformer for Medical Image Segmentation. WACV Athanasios Tragakis, Chaitanya Kaul, Roderick Murray-Smith, Dirk Husmeier
2023	J	`jnl`	The legibility of the imaged human brain. CoRR James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
2023	Misc	`conf`	mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor. ICASSP Kevin J. Mitchell, Khaled Kassem, Chaitanya Kaul, Valentin Kapitany, Philip Binner, Andrew Ramsay, Daniele Faccio, Roderick Murray-Smith
2023	J	`jnl`	mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor. CoRR Kevin J. Mitchell, Khaled Kassem, Chaitanya Kaul, Valentin Kapitany, Philip Binner, Andrew Ramsay, Roderick Murray-Smith, Daniele Faccio
2022	—	`conf`	Convolutional Point Transformer. ACCV (Workshops) Chaitanya Kaul, Joshua Mitton, Hang Dai, Roderick Murray-Smith
2022	J	`jnl`	Optimizing Vision Transformers for Medical Image Segmentation. CoRR Qianying Liu, Chaitanya Kaul, Jun Wang, Christos Anagnostopoulos, Roderick Murray-Smith, Fani Deligianni
2022	J	`jnl`	The Fully Convolutional Transformer for Medical Image Segmentation. CoRR Athanasios Tragakis, Chaitanya Kaul, Roderick Murray-Smith, Dirk Husmeier
2021	J	`jnl`	CpT: Convolutional Point Transformer for 3D Point Cloud Processing. CoRR Chaitanya Kaul, Joshua Mitton, Hang Dai, Roderick Murray-Smith
2021	J	`jnl`	FatNet: A Feature-attentive Network for 3D Point Cloud Processing. CoRR Chaitanya Kaul, Nick E. Pears, Suresh Manandhar
2021	—	`conf`	Focusnet++: Attentive Aggregated Transformations For Efficient And Accurate Medical Image Segmentation. ISBI Chaitanya Kaul, Nick E. Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar
2021	J	`jnl`	Prediction of weaning from mechanical ventilation using Convolutional Neural Networks. Artif. Intell. Medicine Yan Jia, Chaitanya Kaul, Tom Lawton, Roderick Murray-Smith, Ibrahim Habli
2021	J	`jnl`	Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image. CoRR Joshua Mitton, Chaitanya Kaul, Roderick Murray-Smith
2021	J	`jnl`	Survey: Leakage and Privacy at Inference Time. CoRR Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris
2020	B	`conf`	FatNet: A Feature-attentive Network for 3D Point Cloud Processing. ICPR Chaitanya Kaul, Nick E. Pears, Suresh Manandhar
2020	—	`conf`	Penalizing Small Errors Using an Adaptive Logarithmic Loss. ICPR Workshops (1) Chaitanya Kaul, Nick E. Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar
2019	J	`jnl`	Divided We Stand: A Novel Residual Group Attention Mechanism for Medical Image Segmentation. CoRR Chaitanya Kaul, Nick E. Pears, Suresh Manandhar
2019	J	`jnl`	FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation. CoRR Chaitanya Kaul, Suresh Manandhar, Nick E. Pears
2019	—	`conf`	Focusnet: An Attention-Based Fully Convolutional Network for Medical Image Segmentation. ISBI Chaitanya Kaul, Suresh Manandhar, Nick E. Pears
2019	—	`—`	Models of visual attention in deep residual CNNs Chaitanya Kaul
2019	J	`jnl`	Penalizing small errors using an Adaptive Logarithmic Loss. CoRR Chaitanya Kaul, Nick E. Pears, Suresh Manandhar
2019	J	`jnl`	SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing. CoRR Chaitanya Kaul, Nick E. Pears, Suresh Manandhar