Lars Petersson

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 150

Top Venues

Publications

Nikhel Gupta, Ray P. Norris, Zeeshan Hayder, Minh Huynh, Lars Petersson, X. Rosalind Wang, Andrew M. Hopkins, Heinz Andernach, Yjan Gordon, Simone Riggi, Miranda Yew, Evan J. Crawford, Bärbel S. Koribalski, Miroslav D. Filipovic, Anna D. Kapinska, Stanislav Shabala, Tessa Vernstrom, Joshua R. Marvil
RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey. CoRR (2024)
Sam Cantrill, David Ahmedt-Aristizabal, Lars Petersson, Hanna Suominen, Mohammad Ali Armin
Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation. CoRR (2024)
Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland
MMCBE: Multi-modality Dataset for Crop Biomass Estimation and Beyond. CoRR (2024)
Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson
Publisher Correction: GOSS: towards generalized open-set semantic segmentation. Vis. Comput. 40 (5) (2024)
Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach. WACV (2024)
Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson
GOSS: towards generalized open-set semantic segmentation. Vis. Comput. 40 (4) (2024)
Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi
Backpropagation-free Network for 3D Test-time Adaptation. CoRR (2024)
Ali Zia, Abdelwahed Khamis, James Nichols, Usman Bashir Tayab, Zeeshan Hayder, Vivien Rolland, Eric A. Stone, Lars Petersson
Topological deep learning: a review of an emerging paradigm. Artif. Intell. Rev. 57 (4) (2024)
Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi
Continual Test-time Domain Adaptation via Dynamic Sample Selection. WACV (2024)
David Ahmedt-Aristizabal, Daniel Smith, Muhammad Rizwan Khokher, Xun Li, Adam L. Smith, Lars Petersson, Vivien Rolland, Everard J. Edwards
An In-Field Dynamic Vision-Based Analysis for Vineyard Yield Estimation. IEEE Access 12 (2024)
Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson
A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection. CoRR (2023)
Olivia Dry, Sundaram Muthu, Jinguang Tong, Chuong Nguyen, Lars Petersson
IQScan: Automatic Insect Loading and 3D Scanning. DICTA (2023)
Heming Du, Xin Yu, Farookh Hussain, Mohammad Ali Armin, Lars Petersson, Weihao Li
Weakly-supervised Point Cloud Instance Segmentation with Geometric Priors. WACV (2023)
Weihao Li, Moshiur Farazi, Jie Hong, Lars Petersson
REIN: Reusing ImageNet to Improve Open-set Object Detection. DICTA (2023)
Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson, X. Rosalind Wang, Heinz Andernach, Bärbel S. Koribalski, Miranda Yew, Evan J. Crawford
Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak Labels. CoRR (2023)
David Ahmedt-Aristizabal, Chuong Nguyen, Lachlan Tychsen-Smith, Ashley Stacey, Shenghong Li, Joseph Pathikulangara, Lars Petersson, Dadong Wang
Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging. Comput. Methods Programs Biomed. 232 (2023)
David Ahmedt-Aristizabal, Mohammad Ali Armin, Zeeshan Hayder, Norberto Garcia-Cairasco, Lars Petersson, Clinton Fookes, Simon Denman, Aileen McGonigal
Deep Learning Approaches for Seizure Video Analysis: A Review. CoRR (2023)
Sundaram Muthu, Taj Wedutenko, Jinguang Tong, Chuong Nguyen, Lars Petersson
Towards End-to-End Automatic Insect Handling and Insect Scanning. DICTA (2023)
Nariman Habili, Jeremy Oorloff, Lars Petersson
Automatic Illumination Spectrum Recovery. CoRR (2023)
Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes
Continuous Human Action Recognition for Human-machine Interaction: A Review. ACM Comput. Surv. 55 (13s) (2023)
Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. DICTA (2023)
Abdelwahed Khamis, Russell Tsuchida, Mohamed Tarek, Vivien Rolland, Lars Petersson
Earth Movers in The Big Data Era: A Review of Optimal Transport in Machine Learning. CoRR (2023)
Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson
RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts. CoRR (2023)
Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson
Hyperbolic Audio-visual Zero-shot Learning. ICCV (2023)
Jieming Zhou, Tong Zhang, Zeeshan Hayder, Lars Petersson, Mehrtash Harandi
Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation. ICCV (Workshops) (2023)
Pengfei Fang, Mehrtash Harandi, Zhenzhong Lan, Lars Petersson
Poincaré Kernels for Hyperbolic Representations. Int. J. Comput. Vis. 131 (11) (2023)
Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson
Hyperbolic Audio-visual Zero-shot Learning. CoRR (2023)
Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi
Continual Test-time Domain Adaptation via Dynamic Sample Selection. CoRR (2023)
Léo Lebrat, Rodrigo Santa Cruz, Remi Chierchia, Yulia Arzhaeva, Mohammad Ali Armin, Joshua Goldsmith, Jeremy Oorloff, Prithvi Reddy, Chuong Nguyen, Lars Petersson, Michelle Barakat-Johnson, Georgina Luscombe, Clinton Fookes, Olivier Salvado, David Ahmedt-Aristizabal
Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. CoRR (2023)
Ali Zia, Abdelwahed Khamis, James Nichols, Zeeshan Hayder, Vivien Rolland, Lars Petersson
Topological Deep Learning: A Review of an Emerging Paradigm. CoRR (2023)
Ali Zia, Renuka Sharma, Reza Arablouei, Greg Bishop-Hurley, Jody McNally, Neil Bagnall, Vivien Rolland, Brano Kusy, Lars Petersson, Aaron Ingham
CVB: A Video Dataset of Cattle Visual Behaviors. CoRR (2023)
Soumava Kumar Roy, Yan Han, Mehrtash Harandi, Lars Petersson
Learning Deep Optimal Embeddings with Sinkhorn Divergences. CoRR (2022)
Tanveer Hussain, Abbas Anwar, Saeed Anwar, Lars Petersson, Sung Wook Baik
Pyramidal Attention for Saliency Detection. CVPR Workshops (2022)
Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. ICPR (2022)
Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi
Towards a Robust Differentiable Architecture Search under Label Noise. WACV (2022)
Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong
Declarative nets that are equilibrium models. ICLR (2022)
Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes
Continuous Human Action Recognition for Human-Machine Interaction: A Review. CoRR (2022)
Tanveer Hussain, Abbas Anwar, Saeed Anwar, Lars Petersson, Sung Wook Baik
Pyramidal Attention for Saliency Detection. CoRR (2022)
Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li
You Only Cut Once: Boosting Data Augmentation with a Single Cut. CoRR (2022)
Mithun Lal, Anthony Paproki, Nariman Habili, Lars Petersson, Olivier Salvado, Clinton Fookes
Learning Dense Correspondence from Synthetic Environments. CoRR (2022)
Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li
Blind Image Decomposition. ECCV (18) (2022)
Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li
You Only Cut Once: Boosting Data Augmentation with a Single Cut. ICML (2022)
Liyuan Pan, Liu Liu, Anthony G. Condon, Gonzalo M. Estavillo, Robert A. Coe, Geoff Bull, Eric A. Stone, Lars Petersson, Vivien Rolland
Biomass Prediction with 3D Point Clouds from LiDAR. WACV (2022)
Nariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson
A Hyperspectral and RGB Dataset for Building Facade Segmentation. CoRR (2022)
Junlin Han, Huangying Zhan, Jie Hong, Pengfei Fang, Hongdong Li, Lars Petersson, Ian D. Reid
What Images are More Memorable to Machines? CoRR (2022)
Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi
Curved Geometric Networks for Visual Anomaly Recognition. CoRR (2022)
Ali Cheraghian, Shafin Rahman, Townim F. Chowdhury, Dylan Campbell, Lars Petersson
Zero-Shot Learning on 3D Point Cloud Objects and Beyond. Int. J. Comput. Vis. 130 (10) (2022)
Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes
Towards Open-Set Object Detection and Discovery. CVPR Workshops (2022)
Nariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson
A Hyperspectral and RGB Dataset for Building Façade Segmentation. ECCV Workshops (7) (2022)
Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson
GOSS: Towards Generalized Open-set Semantic Segmentation. CoRR (2022)
Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li
Transcribing Natural Languages for the Deaf via Neural Editing Programs. AAAI (2022)
Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. ISBI (2022)
David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
A survey on graph-based deep learning for computational histopathology. Comput. Medical Imaging Graph. 95 (2022)
Junlin Han, Mehrdad Shoeiby, Timothy J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson
Underwater Image Restoration via Contrastive Learning and a Real-World Dataset. Remote. Sens. 14 (17) (2022)
Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. CoRR (2022)
David Ahmedt-Aristizabal, Chuong Nguyen, Lachlan Tychsen-Smith, Ashley Stacey, Shenghong Li, Joseph Pathikulangara, Lars Petersson, Dadong Wang
Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging. CoRR (2022)
Jie Hong, Shi Qiu, Weihao Li, Saeed Anwar, Mehrtash Harandi, Nick Barnes, Lars Petersson
PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis. CoRR (2022)
Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes
Towards Open-Set Object Detection and Discovery. CoRR (2022)
Junlin Han, Lars Petersson, Hongdong Li, Ian D. Reid
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping. CoRR (2022)
Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Pan Ji, Lars Petersson, Mehrtash Harandi
Attention in Attention Networks for Person Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li
Blind Image Decomposition. CoRR (2021)
Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin
Single Underwater Image Restoration by Contrastive Learning. CoRR (2021)
Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi
Set Augmented Triplet Loss for Video Person Re-Identification. WACV (2021)
Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. CoRR (2021)
Sadegh Aliakbarian, Fatemeh Sadat Saleh, Lars Petersson, Stephen Gould, Mathieu Salzmann
Contextually Plausible and Diverse 3D Human Motion Prediction. ICCV (2021)
David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. CoRR (2021)
Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin
Dual Contrastive Learning for Unsupervised Image-to-Image Translation. CoRR (2021)
Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
Towards Interpretable Attention Networks for Cervical Cancer Analysis. CoRR (2021)
Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
Video-Based Inpatient Fall Risk Assessment: A Case Study. CoRR (2021)
Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin
Dual Contrastive Learning for Unsupervised Image-to-Image Translation. CVPR Workshops (2021)
David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
A Survey on Graph-Based Deep Learning for Computational Histopathology. CoRR (2021)
Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CVPR (2021)
Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
Towards Interpretable Attention Networks for Cervical Cancer Analysis. EMBC (2021)
Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson
Reinforced Attention for Few-Shot Learning and Beyond. CVPR (2021)
David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. Sensors 21 (14) (2021)
Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson
Underwater Image Restoration via Contrastive Learning and a Real-world Dataset. CoRR (2021)
Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CoRR (2021)
Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
Video-Based Inpatient Fall Risk Assessment: A Case Study. EMBC (2021)
Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin
Single Underwater Image Restoration by Contrastive Learning. IGARSS (2021)
Mehrdad Shoeiby, Sadegh Aliakbarian, Saeed Anwar, Lars Petersson
Multi-FAN: multi-spectral mosaic super-resolution via multi-scale feature aggregation network. Mach. Vis. Appl. 32 (2) (2021)
Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi
Towards a Robust Differentiable Architecture Search under Label Noise. CoRR (2021)
Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson
Reinforced Attention for Few-Shot Learning and Beyond. CoRR (2021)
Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li
Transcribing Natural Languages for The Deaf via Neural Editing Programs. CoRR (2021)
Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. CoRR (2021)
Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
Discrepant collaborative training by Sinkhorn divergences. Image Vis. Comput. 112 (2021)
Ali Cheraghian, Shafin Rahman, Townim F. Chowdhury, Dylan Campbell, Lars Petersson
Zero-Shot Learning on 3D Point Cloud Objects and Beyond. CoRR (2021)
Pengfei Fang, Mehrtash Harandi, Lars Petersson
Kernel Methods in Hyperbolic Spaces. ICCV (2021)
Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe, Pengfei Fang, Christian Simon, Lars Petersson, Mehrtash Harandi
Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces. ICCV (2021)
Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson
Mosaic Super-resolution via Sequential Feature Pyramid Networks. CVPR Workshops (2020)
Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson
Cross-Correlated Attention Networks for Person Re-Identification. Image Vis. Comput. 100 (2020)
Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction. CVPR (2020)
David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
Attention Networks for Multi-Task Signal Analysis. EMBC (2020)
Saeed Anwar, Nick Barnes, Lars Petersson
Attention Prior for Real Image Restoration. CoRR (2020)
Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi
Channel Recurrent Attention Networks for Video Pedestrian Retrieval. CoRR (2020)
Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson
Mosaic Super-resolution via Sequential Feature Pyramid Networks. CoRR (2020)
Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson
Cross-Correlated Attention Networks for Person Re-Identification. CoRR (2020)
Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson
Transductive Zero-Shot Learning for 3D Point Cloud Classification. WACV (2020)
Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi
Channel Recurrent Attention Networks for Video Pedestrian Retrieval. ACCV (6) (2020)
Dongxu Li, Xin Yu, Chenchen Xu, Lars Petersson, Hongdong Li
Transferring Cross-Domain Knowledge for Video Sign Language Recognition. CVPR (2020)
Saeed Anwar, Nick Barnes, Lars Petersson
A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers. CoRR (2020)

Lars Petersson.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Lars Petersson