Vivien Rolland

18 papers A* 1A 2Misc 2Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
WS-Net: Weak-Signal Representation Learning and Gated Abundance Reconstruction for Hyperspectral Unmixing via State-Space and Weak Signal Attention Fusion.
CoRR
Zekun Long, Ali Zia, Guanyiman Fu, Vivien Rolland, Jun Zhou
2025 J jnl
3D Gaussian Representations with Motion Trajectory Field for Dynamic Scene Reconstruction.
CoRR
Xuesong Li, Lars Petersson, Vivien Rolland
2025 — conf
3D Gaussian Representations with Motion Trajectory Field for Monocular Dynamic Scene Reconstruction.
ICCVW
Xuesong Li, Lars Petersson, Vivien Rolland
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
DGNS: Deformable Gaussian Splatting and Dynamic Neural Surface for Monocular Dynamic 3D Reconstruction.
ACM Multimedia
Xuesong Li, Jinguang Tong, Jie Hong, Vivien Rolland, Lars Petersson
2024 Misc conf
A New Hyperspectral Unmixing Benchmark for Weak Signal Meat Contamination Detection.
DICTA
Zekun Long, Ali Zia, Jordi Nelis, Vivien Rolland, Jun Zhou
2024 J jnl
An In-Field Dynamic Vision-Based Analysis for Vineyard Yield Estimation.
IEEE Access
David Ahmedt-Aristizabal, Daniel Smith, Muhammad Rizwan Khokher, Xun Li, Adam L. Smith, Lars Petersson, Vivien Rolland, Everard J. Edwards
2024 J jnl
DGNS: Deformable Gaussian Splatting and Dynamic Neural Surface for Monocular Dynamic 3D Reconstruction.
CoRR
Xuesong Li, Jinguang Tong, Jie Hong, Vivien Rolland, Lars Petersson
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 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 J jnl
CVB: A Video Dataset of Cattle Visual Behaviors.
CoRR
Ali Zia, Renuka Sharma, Reza Arablouei, Greg Bishop-Hurley, Jody McNally, Neil Bagnall, Vivien Rolland, Brano Kusy, Lars Petersson, Aaron Ingham
2023 J jnl
Earth Movers in The Big Data Era: A Review of Optimal Transport in Machine Learning.
CoRR
Abdelwahed Khamis, Russell Tsuchida, Mohamed Tarek, Vivien Rolland, Lars Petersson
2023 J jnl
Spectral 3D Computer Vision - A Review.
CoRR
Yajie Sun, Ali Zia, Vivien Rolland, Charissa Yu, Jun Zhou
2023 J jnl
Topological Deep Learning: A Review of an Emerging Paradigm.
CoRR
Ali Zia, Abdelwahed Khamis, James Nichols, Zeeshan Hayder, Vivien Rolland, Lars Petersson
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