A hybrid control architecture for mobile manipulation. - Lars Petersson; Magnus Egerstedt; Henrik I. Christensen (IROS, 1999)

Reactive mobile manipulation using dynamic trajectory tracking: design and implementation. - Petter Ögren; Lars Petersson; Magnus Egerstedt; Xiaoming Hu 001 (CDC, 2000)

High-level control of a mobile manipulator for door opening. - Lars Petersson; David J. Austin; Danica Kragic (IROS, 2000)

DCA: a distributed control architecture for robotics. - Lars Petersson; David J. Austin; Henrik Christenseni (IROS, 2001)

Systems Integration for Real-World Manipulation Tasks. - Lars Petersson; Patric Jensfelt; Dennis Tell; M. Strandberg; Danica Kragic; Henrik I. Christensen (ICRA, 2002)

Visually guided manipulation tasks. - Danica Kragic; Lars Petersson; Henrik I. Christensen (Robotics Auton. Syst., 2002)

A framework for integration of processes in autonomous systems. - Lars Petersson (2002)

Towards Safer Roads by Integration of Road Scene Monitoring and Vehicle Control. - Lars Petersson; Alexander Zelinsky (FSR, 2003)

Driver assistance: an integration of vehicle monitoring and control. - Lars Petersson; Nicholas Apostoloff; Alexander Zelinsky (ICRA, 2003)

Vision in and out of Vehicles. - Luke Fletcher; Nicholas Apostoloff; Lars Petersson; Alexander Zelinsky (IEEE Intell. Syst., 2003)

An Interactive Driver Assistance System Monitoring the Scene in and out of the Vehicle. - Lars Petersson; Luke Fletcher; Nick Barnes; Alexander Zelinsky (ICRA, 2004)

A Sign Reading Driver Assistance System Using Eye Gaze. - Luke Fletcher; Lars Petersson; Nick Barnes; David J. Austin; Alexander Zelinsky (ICRA, 2005)

Generic fusion of visual cues applied to real-world object segmentation. - Fredrik Arnell; Lars Petersson (IROS, 2005)

Threat assessment for general road scenes using monte carlo sampling. - Andreas Eidehall; Lars Petersson (ITSC, 2006)

Towards Safer Roads by Integration of Road Scene Monitoring and Vehicle Control. - Lars Petersson; Luke Fletcher; Alexander Zelinsky; Nick Barnes; Fredrik Arnell (Int. J. Robotics Res., 2006)

Improved Response Modelling on Weak Classifiers for Boosting. - Gary Overett; Lars Petersson (ICRA, 2007)

Statistical Threat Assessment for General Road Scenes Using Monte Carlo Sampling. - Andreas Eidehall; Lars Petersson (IEEE Trans. Intell. Transp. Syst., 2008)

Fast features for time constrained object detection. - Gary Overett; Lars Petersson (CVPR Workshops, 2009)

Large scale sign detection using HOG feature variants. - Gary Overett; Lars Petersson (Intelligent Vehicles Symposium, 2011)

Practical considerations in precise calibration of a low-cost MEMS IMU for road-mapping applications. - Ashkan Amirsadri; Jonghyuk Kim; Lars Petersson; Jochen Trumpf (ACC, 2012)

A computationally efficient low-bandwidth method for very-large-scale mapping of road signs with multiple vehicles. - Ashkan Amirsadri; Adrian N. Bishop; Jonghyuk Kim; Jochen Trumpf; Lars Petersson (FUSION, 2012)

Classification of materials in natural scenes using multi-spectral images. - Sarah Taghavi Namin; Lars Petersson (IROS, 2012)

Classification of natural scene multi spectral images using a new enhanced CRF. - Mohammad Najafi; Sarah Taghavi Namin; Lars Petersson (IROS, 2013)

Non-associative Higher-Order Markov Networks for Point Cloud Classification. - Mohammad Najafi; Sarah Taghavi Namin; Mathieu Salzmann; Lars Petersson (ECCV (5), 2014)

dMap: A Low-Cost Distributed Mapping Concept for Future Road Asset Management. - Dana Pordel; Lars Petersson; Philip Kilby (ICDSC, 2014)

Multi-view terrain classification using panoramic imagery and LIDAR. - Sarah Taghavi Namin; Mohammad Najafi; Lars Petersson (IROS, 2014)

Creating robust high-throughput traffic sign detectors using centre-surround HOG statistics. - Gary Overett; Lachlan Tychsen-Smith; Lars Petersson; Niklas Pettersson; Lars Andersson (Mach. Vis. Appl., 2014)

An Adaptive Data Representation for Robust Point-Set Registration and Merging. - Dylan Campbell; Lars Petersson (ICCV, 2015)

Cutting Edge: Soft Correspondences in Multimodal Scene Parsing. - Sarah Taghavi Namin; Mohammad Najafi; Mathieu Salzmann; Lars Petersson (ICCV, 2015)

A cost-benefit analysis of an ad-hoc road asset data collection system using fleet-vehicles. - Dana Pordel; Lars Petersson (ICDSC, 2015)

Modeling the cost and coverage of an ad-hoc asset management system based on existing fleet vehicles. - Dana Pordel; Lars Petersson; Shahin Namin; Adrian Rebola-Pardo (Intelligent Vehicles Symposium, 2015)

A Multi-modal Graphical Model for Scene Analysis. - Sarah Taghavi Namin; Mohammad Najafi; Mathieu Salzmann; Lars Petersson (WACV, 2015)

GOGMA: Globally-Optimal Gaussian Mixture Alignment. - Dylan Campbell; Lars Petersson (CVPR, 2016)

Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering. - Mohammad Najafi; Sarah Taghavi Namin; Mathieu Salzmann; Lars Petersson (CVPR, 2016)

Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. - Fatemehsadat Saleh; Mohammad Sadegh Ali Akbarian; Mathieu Salzmann; Lars Petersson; Stephen Gould; José M. Álvarez 004 (ECCV (8), 2016)

Latent structural SVM with marginal probabilities for weakly labeled structured learning. - Shahin Rahmatollahi Namin; José M. Álvarez 004; Laurent Kneip; Lars Petersson (ICIP, 2016)

2D-3D semantic segmentation using cardinality as higher-order loss. - Shahin Rahmatollahi Namin; José M. Álvarez 004; Lars Petersson (ICPR, 2016)

Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation. - Mohammad Sadegh Ali Akbarian; Fatemehsadat Saleh; Basura Fernando; Mathieu Salzmann; Lars Petersson; Lars Andersson (CoRR, 2016)

DecomposeMe: Simplifying ConvNets for End-to-End Learning. - José M. Álvarez 004; Lars Petersson (CoRR, 2016)

Encouraging LSTMs to Anticipate Actions Very Early. - Mohammad Sadegh Ali Akbarian; Fatemehsadat Saleh; Mathieu Salzmann; Basura Fernando; Lars Petersson; Lars Andersson (ICCV, 2017)

Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence. - Dylan Campbell; Lars Petersson; Laurent Kneip; Hongdong Li (ICCV, 2017)

Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation. - Fatemehsadat Saleh; Mohammad Sadegh Ali Akbarian; Mathieu Salzmann; Lars Petersson; José M. Álvarez 004 (ICCV, 2017)

DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling. - Lachlan Tychsen-Smith; Lars Petersson (ICCV, 2017)

Road Asset Detection Model Using Smartphones: A Deployment Analysis. - Dana Pordel; Lars Petersson (ICDSC, 2017)

Soft Correspondences in Multimodal Scene Parsing. - Sarah Taghavi Namin; Mohammad Najafi; Mathieu Salzmann; Lars Petersson (CoRR, 2017)

VIENA ^2 : A Driving Anticipation Dataset. - Mohammad Sadegh Aliakbarian; Fatemeh Sadat Saleh; Mathieu Salzmann; Basura Fernando; Lars Petersson; Lars Andersson (ACCV (1), 2018)

Improving Object Localization With Fitness NMS and Bounded IoU Loss. - Lachlan Tychsen-Smith; Lars Petersson (CVPR, 2018)

Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. - Fatemeh Sadat Saleh; Mohammad Sadegh Aliakbarian; Mathieu Salzmann; Lars Petersson; José M. Álvarez 004 (ECCV (2), 2018)

VIENA2: A Driving Anticipation Dataset. - Mohammad Sadegh Aliakbarian; Fatemeh Sadat Saleh; Mathieu Salzmann; Basura Fernando; Lars Petersson; Lars Andersson (CoRR, 2018)

Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation. - Fatemehsadat Saleh; Mohammad Sadegh Ali Akbarian; Mathieu Salzmann; Lars Petersson; José M. Álvarez 004; Stephen Gould (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects. - Ali Cheraghian; Shafin Rahman; Dylan Campbell; Lars Petersson (BMVC, 2019)

The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation. - Dylan Campbell; Lars Petersson; Laurent Kneip; Hongdong Li; Stephen Gould (CVPR, 2019)

Bilinear Attention Networks for Person Retrieval. - Pengfei Fang; Jieming Zhou; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (ICCV, 2019)

CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. - Kartik Gupta; Lars Petersson; Richard Hartley 001 (ICCV Workshops, 2019)

Zero-shot Learning of 3D Point Cloud Objects. - Ali Cheraghian; Shafin Rahman; Lars Petersson (MVA, 2019)

3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds. - Ali Cheraghian; Lars Petersson (WACV, 2019)

Learning Variations in Human Motion via Mix-and-Match Perturbation. - Mohammad Sadegh Aliakbarian; Fatemeh Sadat Saleh; Mathieu Salzmann; Lars Petersson; Stephen Gould; AmirHossein Habibian (CoRR, 2019)

Neural Memory Networks for Robust Classification of Seizure Type. - David Ahmedt-Aristizabal; Tharindu Fernando; Simon Denman; Lars Petersson; Matthew J. Aburn; Clinton Fookes (CoRR, 2019)

Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior. - Mohammad Sadegh Aliakbarian; Fatemeh Sadat Saleh; Mathieu Salzmann; Lars Petersson; Stephen Gould (CoRR, 2019)

Channel Recurrent Attention Networks for Video Pedestrian Retrieval. - Pengfei Fang; Pan Ji; Jieming Zhou; Lars Petersson; Mehrtash Harandi (ACCV (6), 2020)

A Stochastic Conditioning Scheme for Diverse Human Motion Prediction. - Mohammad Sadegh Aliakbarian; Fatemeh Sadat Saleh; Mathieu Salzmann; Lars Petersson; Stephen Gould (CVPR, 2020)

Transferring Cross-Domain Knowledge for Video Sign Language Recognition. - Dongxu Li; Xin Yu 002; Chenchen Xu; Lars Petersson; Hongdong Li (CVPR, 2020)

Mosaic Super-resolution via Sequential Feature Pyramid Networks. - Mehrdad Shoeiby; Mohammad Ali Armin; Mohammad Sadegh Aliakbarian; Saeed Anwar; Lars Petersson (CVPR Workshops, 2020)

Attention Networks for Multi-Task Signal Analysis. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Simon Denman; Clinton Fookes; Lars Petersson (EMBC, 2020)

Neural Memory Networks for Seizure Type Classification. - David Ahmedt-Aristizabal; Tharindu Fernando; Simon Denman; Lars Petersson; Matthew J. Aburn; Clinton Fookes (EMBC, 2020)

Transductive Zero-Shot Learning for 3D Point Cloud Classification. - Ali Cheraghian; Shafin Rahman; Dylan Campbell; Lars Petersson (WACV, 2020)

Learning from Noisy Labels via Discrepant Collaborative Training. - Yan Han; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (WACV, 2020)

Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network. - Mehrdad Shoeiby; Lars Petersson; Mohammad Ali Armin; Mohammad Sadegh Aliakbarian; Antonio Robles-Kelly (WACV, 2020)

A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers. - Saeed Anwar; Nick Barnes; Lars Petersson (CoRR, 2020)

Attention Prior for Real Image Restoration. - Saeed Anwar; Nick Barnes; Lars Petersson (CoRR, 2020)

Cross-Correlated Attention Networks for Person Re-Identification. - Jieming Zhou; Soumava Kumar Roy; Pengfei Fang; Mehrtash Harandi; Lars Petersson (Image Vis. Comput., 2020)

Globally-Optimal Inlier Set Maximisation for Camera Pose and Correspondence Estimation. - Dylan Campbell; Lars Petersson; Laurent Kneip; Hongdong Li (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. - Ali Cheraghian; Shafin Rahman; Pengfei Fang; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (CVPR, 2021)

Dual Contrastive Learning for Unsupervised Image-to-Image Translation. - Junlin Han; Mehrdad Shoeiby; Lars Petersson; Mohammad Ali Armin (CVPR Workshops, 2021)

Reinforced Attention for Few-Shot Learning and Beyond. - Jie Hong; Pengfei Fang; Weihao Li 005; Tong Zhang 023; Christian Simon; Mehrtash Harandi; Lars Petersson (CVPR, 2021)

Video-Based Inpatient Fall Risk Assessment: A Case Study. - Ziqing Wang; Mohammad Ali Armin; Simon Denman; Lars Petersson; David Ahmedt-Aristizabal (EMBC, 2021)

Towards Interpretable Attention Networks for Cervical Cancer Analysis. - Ruiqi Wang; Mohammad Ali Armin; Simon Denman; Lars Petersson; David Ahmedt-Aristizabal (EMBC, 2021)

Contextually Plausible and Diverse 3D Human Motion Prediction. - Sadegh Aliakbarian; Fatemeh Sadat Saleh; Lars Petersson; Stephen Gould; Mathieu Salzmann (ICCV, 2021)

Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces. - Ali Cheraghian; Shafin Rahman; Sameera Ramasinghe; Pengfei Fang; Christian Simon; Lars Petersson; Mehrtash Harandi (ICCV, 2021)

Kernel Methods in Hyperbolic Spaces. - Pengfei Fang; Mehrtash Harandi; Lars Petersson (ICCV, 2021)

Single Underwater Image Restoration by Contrastive Learning. - Junlin Han; Mehrdad Shoeiby; Tim J. Malthus; Elizabeth J. Botha; Janet M. Anstee; Saeed Anwar; Ran Wei; Lars Petersson; Mohammad Ali Armin (IGARSS, 2021)

Set Augmented Triplet Loss for Video Person Re-Identification. - Pengfei Fang; Pan Ji; Lars Petersson; Mehrtash Harandi (WACV, 2021)

Discrepant collaborative training by Sinkhorn divergences. - Yan Han; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (Image Vis. Comput., 2021)

Multi-FAN: multi-spectral mosaic super-resolution via multi-scale feature aggregation network. - Mehrdad Shoeiby; Sadegh Aliakbarian; Saeed Anwar; Lars Petersson (Mach. Vis. Appl., 2021)

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Simon Denman; Clinton Fookes; Lars Petersson (Sensors, 2021)

Transcribing Natural Languages for the Deaf via Neural Editing Programs. - Dongxu Li; Chenchen Xu; Liu Liu 009; Yiran Zhong; Rong Wang; Lars Petersson; Hongdong Li (AAAI, 2022)

Pyramidal Attention for Saliency Detection. - Tanveer Hussain; Abbas Anwar; Saeed Anwar; Lars Petersson; Sung Wook Baik (CVPR Workshops, 2022)

Towards Open-Set Object Detection and Discovery. - Jiyang Zheng; Weihao Li 005; Jie Hong; Lars Petersson; Nick Barnes (CVPR Workshops, 2022)

A Hyperspectral and RGB Dataset for Building Façade Segmentation. - Nariman Habili; Ernest Kwan; Weihao Li 005; Christfried Webers; Jeremy Oorloff; Mohammad Ali Armin; Lars Petersson (ECCV Workshops (7), 2022)

Blind Image Decomposition. - Junlin Han; Weihao Li 005; Pengfei Fang; Chunyi Sun; Jie Hong; Mohammad Ali Armin; Lars Petersson; Hongdong Li (ECCV (18), 2022)

Declarative nets that are equilibrium models. - Russell Tsuchida; Suk Yee Yong; Mohammad Ali Armin; Lars Petersson; Cheng Soon Ong (ICLR, 2022)

You Only Cut Once: Boosting Data Augmentation with a Single Cut. - Junlin Han; Pengfei Fang; Weihao Li 005; Jie Hong; Mohammad Ali Armin; Ian D. Reid 001; Lars Petersson; Hongdong Li (ICML, 2022)

Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. - Changkun Ye; Nick Barnes; Lars Petersson; Russell Tsuchida (ICPR, 2022)

In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. - Ting Cao; Mohammad Ali Armin; Simon Denman; Lars Petersson; David Ahmedt-Aristizabal (ISBI, 2022)

Biomass Prediction with 3D Point Clouds from LiDAR. - Liyuan Pan; Liu Liu 009; Anthony G. Condon; Gonzalo M. Estavillo; Robert A. Coe; Geoff Bull; Eric A. Stone; Lars Petersson; Vivien Rolland (WACV, 2022)

Towards a Robust Differentiable Architecture Search under Label Noise. - Christian Simon; Piotr Koniusz; Lars Petersson; Yan Han; Mehrtash Harandi (WACV, 2022)

A survey on graph-based deep learning for computational histopathology. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Simon Denman; Clinton Fookes; Lars Petersson (Comput. Medical Imaging Graph., 2022)

Learning Dense Correspondence from Synthetic Environments. - Mithun Lal; Anthony Paproki; Nariman Habili; Lars Petersson; Olivier Salvado; Clinton Fookes (CoRR, 2022)

CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping. - Junlin Han; Lars Petersson; Hongdong Li; Ian D. Reid 001 (CoRR, 2022)

Learning Deep Optimal Embeddings with Sinkhorn Divergences. - Soumava Kumar Roy; Yan Han; Mehrtash Harandi; Lars Petersson (CoRR, 2022)

What Images are More Memorable to Machines? - Junlin Han; Huangying Zhan; Jie Hong; Pengfei Fang; Hongdong Li; Lars Petersson; Ian D. Reid 001 (CoRR, 2022)

PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis. - Jie Hong; Shi Qiu 001; Weihao Li 005; Saeed Anwar; Mehrtash Harandi; Nick Barnes; Lars Petersson (CoRR, 2022)

Zero-Shot Learning on 3D Point Cloud Objects and Beyond. - Ali Cheraghian; Shafin Rahman; Townim F. Chowdhury; Dylan Campbell; Lars Petersson (Int. J. Comput. Vis., 2022)

Attention in Attention Networks for Person Retrieval. - Pengfei Fang; Jieming Zhou; Soumava Kumar Roy; Pan Ji; Lars Petersson; Mehrtash Harandi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Underwater Image Restoration via Contrastive Learning and a Real-World Dataset. - Junlin Han; Mehrdad Shoeiby; Timothy J. Malthus; Elizabeth J. Botha; Janet M. Anstee; Saeed Anwar; Ran Wei; Mohammad Ali Armin; Hongdong Li; Lars Petersson (Remote. Sens., 2022)

IQScan: Automatic Insect Loading and 3D Scanning. - Olivia Dry; Sundaram Muthu; Jinguang Tong; Chuong Nguyen; Lars Petersson (DICTA, 2023)

REIN: Reusing ImageNet to Improve Open-set Object Detection. - Weihao Li 005; Moshiur Farazi; Jie Hong; Lars Petersson (DICTA, 2023)

Towards End-to-End Automatic Insect Handling and Insect Scanning. - Sundaram Muthu; Taj Wedutenko; Jinguang Tong; Chuong Nguyen; Lars Petersson (DICTA, 2023)

Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. - Jieming Zhou; Tong Zhang 023; Pengfei Fang; Lars Petersson; Mehrtash Harandi (DICTA, 2023)

Hyperbolic Audio-visual Zero-shot Learning. - Jie Hong; Zeeshan Hayder; Junlin Han; Pengfei Fang; Mehrtash Harandi; Lars Petersson (ICCV, 2023)

Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation. - Jieming Zhou; Tong Zhang 023; Zeeshan Hayder; Lars Petersson; Mehrtash Harandi (ICCV (Workshops), 2023)

Weakly-supervised Point Cloud Instance Segmentation with Geometric Priors. - Heming Du; Xin Yu 002; Farookh Khadeer Hussain; Mohammad Ali Armin; Lars Petersson; Weihao Li 005 (WACV, 2023)

Topological Deep Learning: A Review of an Emerging Paradigm. - Ali Zia; Abdelwahed Khamis; James Nichols; Zeeshan Hayder; Vivien Rolland; Lars Petersson (CoRR, 2023)

Earth Movers in The Big Data Era: A Review of Optimal Transport in Machine Learning. - Abdelwahed Khamis; Russell Tsuchida; Mohamed Tarek; Vivien Rolland; Lars Petersson (CoRR, 2023)

CVB: A Video Dataset of Cattle Visual Behaviors. - Ali Zia; Renuka Sharma; Reza Arablouei; Greg Bishop-Hurley; Jody McNally; Neil Bagnall; Vivien Rolland; Brano Kusy; Lars Petersson; Aaron Ingham (CoRR, 2023)

Automatic Illumination Spectrum Recovery. - Nariman Habili; Jeremy Oorloff; Lars Petersson (CoRR, 2023)

Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak Labels. - Nikhel Gupta; Zeeshan Hayder; Ray P. Norris; Minh Huynh; Lars Petersson; X. Rosalind Wang; Heinz Andernach; Bärbel S. Koribalski; Miranda Yew; Evan J. Crawford (CoRR, 2023)

RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts. - Nikhel Gupta; Zeeshan Hayder; Ray P. Norris; Minh Huynh; Lars Petersson (CoRR, 2023)

A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection. - Nikhel Gupta; Zeeshan Hayder; Ray P. Norris; Minh Huynh; Lars Petersson (CoRR, 2023)

Deep Learning Approaches for Seizure Video Analysis: A Review. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Zeeshan Hayder; Norberto Garcia-Cairasco; Lars Petersson; Clinton Fookes; Simon Denman; Aileen McGonigal (CoRR, 2023)

Continuous Human Action Recognition for Human-machine Interaction: A Review. - Harshala Gammulle; David Ahmedt-Aristizabal; Simon Denman; Lachlan Tychsen-Smith; Lars Petersson; Clinton Fookes (ACM Comput. Surv., 2023)

Poincaré Kernels for Hyperbolic Representations. - Pengfei Fang; Mehrtash Harandi; Zhenzhong Lan; Lars Petersson (Int. J. Comput. Vis., 2023)

Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging. - David Ahmedt-Aristizabal; Chuong Nguyen; Lachlan Tychsen-Smith; Ashley Stacey; Shenghong Li 002; Joseph Pathikulangara; Lars Petersson; Dadong Wang (Comput. Methods Programs Biomed., 2023)

Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation. - Sam Cantrill; David Ahmedt-Aristizabal; Lars Petersson; Hanna Suominen; Mohammad Ali Armin (CVPR Workshops, 2024)

Backpropagation-free Network for 3D Test-time Adaptation. - Yanshuo Wang; Ali Cheraghian; Zeeshan Hayder; Jie Hong; Sameera Ramasinghe; Shafin Rahman; David Ahmedt-Aristizabal; Xuesong Li 001; Lars Petersson; Mehrtash Harandi (CVPR, 2024)

MMCBE: Multi-Modality Dataset for Crop Biomass Estimation and Beyond. - Xuesong Li 001; Zeeshan Hayder; Ali Zia; Connor Cassidy; Shiming Liu; Warwick Stiller; Eric A. Stone; Warren Conaty; Lars Petersson; Vivien Rolland (DICTA, 2024)

Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning. - Ali Cheraghian; Zeeshan Hayder; Sameera Ramasinghe; Shafin Rahman; Javad Jafaryahya; Lars Petersson; Mehrtash Harandi (ECCV (41), 2024)

Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. - 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; et al. (ISBI, 2024)

Continual Test-time Domain Adaptation via Dynamic Sample Selection. - Yanshuo Wang; Jie Hong; Ali Cheraghian; Shafin Rahman; David Ahmedt-Aristizabal; Lars Petersson; Mehrtash Harandi (WACV, 2024)

Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach. - Changkun Ye; Russell Tsuchida; Lars Petersson; Nick Barnes (WACV, 2024)

An In-Field Dynamic Vision-Based Analysis for Vineyard Yield Estimation. - David Ahmedt-Aristizabal; Daniel Smith; Muhammad Rizwan Khokher; Xun Li; Adam L. Smith; Lars Petersson; Vivien Rolland; Everard J. Edwards (IEEE Access, 2024)

Topological deep learning: a review of an emerging paradigm. - Ali Zia; Abdelwahed Khamis; James Nichols; Usman Bashir Tayab; Zeeshan Hayder; Vivien Rolland; Eric A. Stone; Lars Petersson (Artif. Intell. Rev., 2024)

RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey. - 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; et al. (CoRR, 2024)

NeFF-BioNet: Crop Biomass Prediction from Point Cloud to Drone Imagery. - Xuesong Li 001; Zeeshan Hayder; Ali Zia; Connor Cassidy; Shiming Liu; Warwick Stiller; Eric A. Stone; Warren Conaty; Lars Petersson; Vivien Rolland (CoRR, 2024)

DGNS: Deformable Gaussian Splatting and Dynamic Neural Surface for Monocular Dynamic 3D Reconstruction. - Xuesong Li 001; Jinguang Tong; Jie Hong; Vivien Rolland; Lars Petersson (CoRR, 2024)

GOSS: towards generalized open-set semantic segmentation. - Jie Hong; Weihao Li 005; Junlin Han; Jiyang Zheng; Pengfei Fang; Mehrtash Harandi; Lars Petersson (Vis. Comput., 2024)

Publisher Correction: GOSS: towards generalized open-set semantic segmentation. - Jie Hong; Weihao Li 005; Junlin Han; Jiyang Zheng; Pengfei Fang; Mehrtash Harandi; Lars Petersson (Vis. Comput., 2024)

Curved Geometric Networks for Visual Anomaly Recognition. - Jie Hong; Pengfei Fang; Weihao Li 005; Junlin Han; Lars Petersson; Mehrtash Harandi (IEEE Trans. Neural Networks Learn. Syst., 2024)

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction. - Jinguang Tong; Xuesong Li 001; Fahira Afzal Maken; Sundaram Muthu; Lars Petersson; Chuong Nguyen; Hongdong Li (CVPR, 2025)

Open Set Label Shift with Test Time Out-of-Distribution Reference. - Changkun Ye; Russell Tsuchida; Lars Petersson; Nick Barnes (CVPR, 2025)

BioNet and NeFF: Crop Biomass Prediction from Point Clouds to Drone Imagery. - Xuesong Li 001; Zeeshan Hayder; Ali Zia; Connor Cassidy; Shiming Liu; Warwick Stiller; Eric A. Stone; Warren Conaty; Lars Petersson; Vivien Rolland (WACV, 2025)

Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation. - Feng Xu; David Ahmedt-Aristizabal; Lars Petersson; Dadong Wang; Xun Li (WACV, 2025)

Learning from Noisy Labels with Contrastive Co-Transformer. - Yan Han; Soumava Kumar Roy; Mehrtash Harandi; Lars Petersson (CoRR, 2025)

Attention-Based Real Image Restoration. - Saeed Anwar; Nick Barnes; Lars Petersson (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Review on Coarse to Fine-Grained Animal Action Recognition. - Ali Zia; Renuka Sharma; Abdelwahed Khamis; Xuesong Li 001; Muhammad Husnain; Numan Shafi; Saeed Anwar; Sabine Schmoelzl; Eric A. Stone; Lars Petersson; Vivien Rolland (CoRR, 2025)

3D Gaussian Representations with Motion Trajectory Field for Dynamic Scene Reconstruction. - Xuesong Li 001; Lars Petersson; Vivien Rolland (CoRR, 2025)