Eric A. Stone

19 papers A 6Misc 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Review on Coarse to Fine-Grained Animal Action Recognition.
CoRR
Ali Zia, Renuka Sharma, Abdelwahed Khamis, Xuesong Li, Muhammad Husnain, Numan Shafi, Saeed Anwar, Sabine Schmoelzl, Eric A. Stone, Lars Petersson, Vivien Rolland
2025 A conf
BioNet and NeFF: Crop Biomass Prediction from Point Clouds to Drone Imagery.
WACV
Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland
2025 A conf
Flowering Time Prediction of Wheat From DIA-MS Data.
WACV
Yan Yang, Utpal Bose, James Broadbent, Sally Stockwell, Keren Byrne, Md. Zakir Hossain, Eric A. Stone, Shannon Dillon
2024 A conf
Convolutional Masked Image Modeling for Dense Prediction Tasks on Pathology Images.
WACV
Yan Yang, Liyuan Pan, Liu Liu, Eric A. Stone
2024 Misc conf
MMCBE: Multi-Modality Dataset for Crop Biomass Estimation and Beyond.
DICTA
Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland
2024 J jnl
MMCBE: Multi-modality Dataset for Crop Biomass Estimation and Beyond.
CoRR
Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland
2024 J jnl
NeFF-BioNet: Crop Biomass Prediction from Point Cloud to Drone Imagery.
CoRR
Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland
2024 — conf
Spatial Transcriptomics Analysis of Zero-Shot Gene Expression Prediction.
MICCAI (4)
Yan Yang, Md. Zakir Hossain, Xuesong Li, Shafin Rahman, Eric A. Stone
2024 J jnl
Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction.
CoRR
Yan Yang, Md. Zakir Hossain, Xuesong Li, Shafin Rahman, Eric A. Stone
2024 J jnl
Spatial transcriptomics analysis of gene expression prediction using exemplar guided graph neural network.
Pattern Recognit.
Yan Yang, Md. Zakir Hossain, Eric A. Stone, Shafin Rahman
2024 J jnl
Topological deep learning: a review of an emerging paradigm.
Artif. Intell. Rev.
Ali Zia, Abdelwahed Khamis, James Nichols, Usman Bashir Tayab, Zeeshan Hayder, Vivien Rolland, Eric A. Stone, Lars Petersson
2023 A conf
Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction.
WACV
Yan Yang, Md. Zakir Hossain, Eric A. Stone, Shafin Rahman
2022 A conf
Biomass Prediction with 3D Point Clouds from LiDAR.
WACV
Liyuan Pan, Liu Liu, Anthony G. Condon, Gonzalo M. Estavillo, Robert A. Coe, Geoff Bull, Eric A. Stone, Lars Petersson, Vivien Rolland
2022 J jnl
DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers.
CoRR
Yan Yang, Md. Zakir Hossain, Khandaker Asif Ahmed, Liyuan Pan, Shafin Rahman, Eric A. Stone
2022 J jnl
Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction.
CoRR
Yan Yang, Md. Zakir Hossain, Eric A. Stone, Shafin Rahman
2022 A conf
ISG: I can See Your Gene Expression.
BMVC
Yan Yang, Liyuan Pan, Liu Liu, Eric A. Stone
2022 J jnl
ISG: I can See Your Gene Expression.
CoRR
Yan Yang, Liyuan Pan, Liu Liu, Eric A. Stone
2014 J jnl
Structural properties of the minimum cut of partially-supplied graphs.
Discret. Appl. Math.
Alexander R. Griffing, Benjamin R. Lynch, Eric A. Stone
2007 J jnl
Constructing a meaningful evolutionary average at the phylogenetic center of mass.
BMC Bioinform.
Eric A. Stone, Arend Sidow