Lars Petersson

211 papers A* 31A 21B 5C 3Misc 8Journal 113Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Facial Spatiotemporal Graphs: Leveraging the 3D Facial Surface for Remote Physiological Measurement. CoRR Sam Cantrill, David Ahmedt-Aristizabal, Lars Petersson, Hanna Suominen, Mohammad Ali Armin
2026	J	`jnl`	Knowledge Priors for Identity-Disentangled Open-Set Privacy-Preserving Video FER. CoRR Feng Xu, Xun Li, Lars Petersson, Yulei Sui, David Ahmedt-Aristizabal, Dadong Wang
2026	J	`jnl`	MFGS: Mask-free Gaussian separation for 3D object reconstruction. Pattern Recognit. Jinguang Tong, Xuesong Li, Sundaram Muthu, Fahira Afzal Maken, Lars Petersson, Chuong Nguyen, Hongdong Li
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	J	`jnl`	Attention-Based Real Image Restoration. IEEE Trans. Neural Networks Learn. Syst. Saeed Anwar, Nick Barnes, Lars Petersson
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
2025	A	`conf`	Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation. WACV Feng Xu, David Ahmedt-Aristizabal, Lars Petersson, Dadong Wang, Xun Li
2025	A*	`conf`	GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction. CVPR Jinguang Tong, Xuesong Li, Fahira Afzal Maken, Sundaram Muthu, Lars Petersson, Chuong Nguyen, Hongdong Li
2025	J	`jnl`	GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction. CoRR Jinguang Tong, Xuesong Li, Fahira Afzal Maken, Sundaram Muthu, Lars Petersson, Chuong Nguyen, Hongdong Li
2025	Misc	`conf`	IntentFuse: Language-Guided 3D Scene Understanding via Prompt Filtering and Fusion. DICTA Ahalya Ravendran, Madhawa Perera, Feng Xu, Lars Petersson, Dadong Wang, Xun Li
2025	J	`jnl`	Learning from Noisy Labels with Contrastive Co-Transformer. CoRR Yan Han, Soumava Kumar Roy, Mehrtash Harandi, Lars Petersson
2025	A*	`conf`	Open Set Label Shift with Test Time Out-of-Distribution Reference. CVPR Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes
2025	J	`jnl`	Open Set Label Shift with Test Time Out-of-Distribution Reference. CoRR Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes
2025	J	`jnl`	Quality-Driven and Diversity-Aware Sample Expansion for Robust Marine Obstacle Segmentation. CoRR Miaohua Zhang, Mohammad Ali Armin, Xuesong Li, Sisi Liang, Lars Petersson, Changming Sun, David Ahmedt-Aristizabal, Zeeshan Hayder
2025	Misc	`conf`	ROSELLA: An Open Computer Vision and Measurement Toolkit for Advanced Manufacturing. DICTA Chuong Nguyen, Fahira Afzal Maken, Changming Sun, Yulia Arzhaeva, Sundaram Muthu, Michael Salim, Lars Andersson, Brett Downing, Jinguang Tong, Russell Tsuchida, Shayan Azizi, Lachlan Hetherton, Matt Bolger, Shaun Howard, Lars Petersson, Simon Dunstall
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	A*	`conf`	Backpropagation-free Network for 3D Test-time Adaptation. CVPR Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi
2024	J	`jnl`	Backpropagation-free Network for 3D Test-time Adaptation. CoRR Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi
2024	—	`conf`	Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning. ECCV (41) Ali Cheraghian, Zeeshan Hayder, Sameera Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi
2024	A	`conf`	Continual Test-time Domain Adaptation via Dynamic Sample Selection. WACV Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi
2024	J	`jnl`	Curved Geometric Networks for Visual Anomaly Recognition. IEEE Trans. Neural Networks Learn. Syst. Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi
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	J	`jnl`	Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation. CoRR Feng Xu, David Ahmedt-Aristizabal, Lars Petersson, Dadong Wang, Xun Li
2024	J	`jnl`	GOSS: towards generalized open-set semantic segmentation. Vis. Comput. Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2024	A	`conf`	Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach. WACV Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes
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`	Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation. CVPR Workshops Sam Cantrill, David Ahmedt-Aristizabal, Lars Petersson, Hanna Suominen, Mohammad Ali Armin
2024	J	`jnl`	Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation. CoRR Sam Cantrill, David Ahmedt-Aristizabal, Lars Petersson, Hanna Suominen, Mohammad Ali Armin
2024	J	`jnl`	Publisher Correction: GOSS: towards generalized open-set semantic segmentation. Vis. Comput. Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2024	J	`jnl`	RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey. CoRR 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
2024	—	`conf`	Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. ISBI 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
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`	A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection. CoRR Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson
2023	J	`jnl`	Automatic Illumination Spectrum Recovery. CoRR Nariman Habili, Jeremy Oorloff, 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`	Continual Test-time Domain Adaptation via Dynamic Sample Selection. CoRR Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi
2023	J	`jnl`	Continuous Human Action Recognition for Human-machine Interaction: A Review. ACM Comput. Surv. Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes
2023	J	`jnl`	Deep Learning Approaches for Seizure Video Analysis: A Review. CoRR David Ahmedt-Aristizabal, Mohammad Ali Armin, Zeeshan Hayder, Norberto Garcia-Cairasco, Lars Petersson, Clinton Fookes, Simon Denman, Aileen McGonigal
2023	J	`jnl`	Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak Labels. CoRR Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson, X. Rosalind Wang, Heinz Andernach, Bärbel S. Koribalski, Miranda Yew, Evan J. Crawford
2023	—	`conf`	Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation. ICCV (Workshops) Jieming Zhou, Tong Zhang, Zeeshan Hayder, Lars Petersson, Mehrtash Harandi
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	Misc	`conf`	Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. DICTA Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi
2023	A*	`conf`	Hyperbolic Audio-visual Zero-shot Learning. ICCV Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2023	J	`jnl`	Hyperbolic Audio-visual Zero-shot Learning. CoRR Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2023	Misc	`conf`	IQScan: Automatic Insect Loading and 3D Scanning. DICTA Olivia Dry, Sundaram Muthu, Jinguang Tong, Chuong Nguyen, Lars Petersson
2023	J	`jnl`	Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging. Comput. Methods Programs Biomed. David Ahmedt-Aristizabal, Chuong Nguyen, Lachlan Tychsen-Smith, Ashley Stacey, Shenghong Li, Joseph Pathikulangara, Lars Petersson, Dadong Wang
2023	J	`jnl`	Poincaré Kernels for Hyperbolic Representations. Int. J. Comput. Vis. Pengfei Fang, Mehrtash Harandi, Zhenzhong Lan, Lars Petersson
2023	Misc	`conf`	REIN: Reusing ImageNet to Improve Open-set Object Detection. DICTA Weihao Li, Moshiur Farazi, Jie Hong, Lars Petersson
2023	J	`jnl`	RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts. CoRR Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson
2023	J	`jnl`	Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. CoRR 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
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
2023	Misc	`conf`	Towards End-to-End Automatic Insect Handling and Insect Scanning. DICTA Sundaram Muthu, Taj Wedutenko, Jinguang Tong, Chuong Nguyen, Lars Petersson
2023	A	`conf`	Weakly-supervised Point Cloud Instance Segmentation with Geometric Priors. WACV Heming Du, Xin Yu, Farookh Khadeer Hussain, Mohammad Ali Armin, Lars Petersson, Weihao Li
2022	J	`jnl`	A Hyperspectral and RGB Dataset for Building Facade Segmentation. CoRR Nariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson
2022	—	`conf`	A Hyperspectral and RGB Dataset for Building Façade Segmentation. ECCV Workshops (7) Nariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson
2022	J	`jnl`	A survey on graph-based deep learning for computational histopathology. Comput. Medical Imaging Graph. David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
2022	J	`jnl`	Attention in Attention Networks for Person Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Pan Ji, Lars Petersson, Mehrtash Harandi
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	—	`conf`	Blind Image Decomposition. ECCV (18) Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li
2022	J	`jnl`	Continuous Human Action Recognition for Human-Machine Interaction: A Review. CoRR Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes
2022	J	`jnl`	CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping. CoRR Junlin Han, Lars Petersson, Hongdong Li, Ian D. Reid
2022	J	`jnl`	Curved Geometric Networks for Visual Anomaly Recognition. CoRR Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi
2022	A*	`conf`	Declarative nets that are equilibrium models. ICLR Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong
2022	B	`conf`	Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. ICPR Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
2022	J	`jnl`	Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. CoRR Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
2022	J	`jnl`	GOSS: Towards Generalized Open-set Semantic Segmentation. CoRR Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2022	—	`conf`	In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. ISBI Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
2022	J	`jnl`	Learning Deep Optimal Embeddings with Sinkhorn Divergences. CoRR Soumava Kumar Roy, Yan Han, Mehrtash Harandi, Lars Petersson
2022	J	`jnl`	Learning Dense Correspondence from Synthetic Environments. CoRR Mithun Lal, Anthony Paproki, Nariman Habili, Lars Petersson, Olivier Salvado, Clinton Fookes
2022	J	`jnl`	Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging. CoRR David Ahmedt-Aristizabal, Chuong Nguyen, Lachlan Tychsen-Smith, Ashley Stacey, Shenghong Li, Joseph Pathikulangara, Lars Petersson, Dadong Wang
2022	J	`jnl`	PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis. CoRR Jie Hong, Shi Qiu, Weihao Li, Saeed Anwar, Mehrtash Harandi, Nick Barnes, Lars Petersson
2022	—	`conf`	Pyramidal Attention for Saliency Detection. CVPR Workshops Tanveer Hussain, Abbas Anwar, Saeed Anwar, Lars Petersson, Sung Wook Baik
2022	J	`jnl`	Pyramidal Attention for Saliency Detection. CoRR Tanveer Hussain, Abbas Anwar, Saeed Anwar, Lars Petersson, Sung Wook Baik
2022	—	`conf`	Towards Open-Set Object Detection and Discovery. CVPR Workshops Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes
2022	J	`jnl`	Towards Open-Set Object Detection and Discovery. CoRR Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes
2022	A	`conf`	Towards a Robust Differentiable Architecture Search under Label Noise. WACV Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi
2022	A*	`conf`	Transcribing Natural Languages for the Deaf via Neural Editing Programs. AAAI Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li
2022	J	`jnl`	Underwater Image Restoration via Contrastive Learning and a Real-World Dataset. Remote. Sens. Junlin Han, Mehrdad Shoeiby, Timothy J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson
2022	J	`jnl`	What Images are More Memorable to Machines? CoRR Junlin Han, Huangying Zhan, Jie Hong, Pengfei Fang, Hongdong Li, Lars Petersson, Ian D. Reid
2022	A*	`conf`	You Only Cut Once: Boosting Data Augmentation with a Single Cut. ICML Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li
2022	J	`jnl`	You Only Cut Once: Boosting Data Augmentation with a Single Cut. CoRR Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li
2022	J	`jnl`	Zero-Shot Learning on 3D Point Cloud Objects and Beyond. Int. J. Comput. Vis. Ali Cheraghian, Shafin Rahman, Townim F. Chowdhury, Dylan Campbell, Lars Petersson
2021	J	`jnl`	A Survey on Graph-Based Deep Learning for Computational Histopathology. CoRR David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
2021	J	`jnl`	Blind Image Decomposition. CoRR Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li
2021	A*	`conf`	Contextually Plausible and Diverse 3D Human Motion Prediction. ICCV Sadegh Aliakbarian, Fatemeh Sadat Saleh, Lars Petersson, Stephen Gould, Mathieu Salzmann
2021	J	`jnl`	Discrepant collaborative training by Sinkhorn divergences. Image Vis. Comput. Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
2021	—	`conf`	Dual Contrastive Learning for Unsupervised Image-to-Image Translation. CVPR Workshops Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin
2021	J	`jnl`	Dual Contrastive Learning for Unsupervised Image-to-Image Translation. CoRR Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin
2021	J	`jnl`	Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. CoRR Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi
2021	J	`jnl`	Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. CoRR David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
2021	J	`jnl`	Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. Sensors David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
2021	J	`jnl`	In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. CoRR Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
2021	A*	`conf`	Kernel Methods in Hyperbolic Spaces. ICCV Pengfei Fang, Mehrtash Harandi, Lars Petersson
2021	J	`jnl`	Multi-FAN: multi-spectral mosaic super-resolution via multi-scale feature aggregation network. Mach. Vis. Appl. Mehrdad Shoeiby, Sadegh Aliakbarian, Saeed Anwar, Lars Petersson
2021	A*	`conf`	Reinforced Attention for Few-Shot Learning and Beyond. CVPR Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson
2021	J	`jnl`	Reinforced Attention for Few-Shot Learning and Beyond. CoRR Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson
2021	A*	`conf`	Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CVPR Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
2021	J	`jnl`	Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CoRR Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
2021	A	`conf`	Set Augmented Triplet Loss for Video Person Re-Identification. WACV Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi
2021	C	`conf`	Single Underwater Image Restoration by Contrastive Learning. IGARSS Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin
2021	J	`jnl`	Single Underwater Image Restoration by Contrastive Learning. CoRR Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin
2021	A*	`conf`	Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces. ICCV Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe, Pengfei Fang, Christian Simon, Lars Petersson, Mehrtash Harandi
2021	—	`conf`	Towards Interpretable Attention Networks for Cervical Cancer Analysis. EMBC Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
2021	J	`jnl`	Towards Interpretable Attention Networks for Cervical Cancer Analysis. CoRR Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
2021	J	`jnl`	Towards a Robust Differentiable Architecture Search under Label Noise. CoRR Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi
2021	J	`jnl`	Transcribing Natural Languages for The Deaf via Neural Editing Programs. CoRR Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li
2021	J	`jnl`	Underwater Image Restoration via Contrastive Learning and a Real-world Dataset. CoRR Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson
2021	—	`conf`	Video-Based Inpatient Fall Risk Assessment: A Case Study. EMBC Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
2021	J	`jnl`	Video-Based Inpatient Fall Risk Assessment: A Case Study. CoRR Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal
2021	J	`jnl`	Zero-Shot Learning on 3D Point Cloud Objects and Beyond. CoRR Ali Cheraghian, Shafin Rahman, Townim F. Chowdhury, Dylan Campbell, Lars Petersson
2020	A*	`conf`	A Stochastic Conditioning Scheme for Diverse Human Motion Prediction. CVPR Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould
2020	J	`jnl`	A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers. CoRR Saeed Anwar, Nick Barnes, Lars Petersson
2020	—	`conf`	Attention Networks for Multi-Task Signal Analysis. EMBC David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
2020	J	`jnl`	Attention Prior for Real Image Restoration. CoRR Saeed Anwar, Nick Barnes, Lars Petersson
2020	—	`conf`	Channel Recurrent Attention Networks for Video Pedestrian Retrieval. ACCV (6) Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi
2020	J	`jnl`	Channel Recurrent Attention Networks for Video Pedestrian Retrieval. CoRR Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi
2020	J	`jnl`	Cross-Correlated Attention Networks for Person Re-Identification. CoRR Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2020	J	`jnl`	Cross-Correlated Attention Networks for Person Re-Identification. Image Vis. Comput. Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2020	J	`jnl`	Globally-Optimal Inlier Set Maximisation for Camera Pose and Correspondence Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li
2020	A	`conf`	Learning from Noisy Labels via Discrepant Collaborative Training. WACV Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
2020	—	`conf`	Mosaic Super-resolution via Sequential Feature Pyramid Networks. CVPR Workshops Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson
2020	J	`jnl`	Mosaic Super-resolution via Sequential Feature Pyramid Networks. CoRR Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson
2020	—	`conf`	Neural Memory Networks for Seizure Type Classification. EMBC David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes
2020	J	`jnl`	Set Augmented Triplet Loss for Video Person Re-Identification. CoRR Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi
2020	A	`conf`	Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network. WACV Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly
2020	A	`conf`	Transductive Zero-Shot Learning for 3D Point Cloud Classification. WACV Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson
2020	A*	`conf`	Transferring Cross-Domain Knowledge for Video Sign Language Recognition. CVPR Dongxu Li, Xin Yu, Chenchen Xu, Lars Petersson, Hongdong Li
2020	J	`jnl`	Transferring Cross-domain Knowledge for Video Sign Language Recognition. CoRR Dongxu Li, Xin Yu, Chenchen Xu, Lars Petersson, Hongdong Li
2019	A	`conf`	3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds. WACV Ali Cheraghian, Lars Petersson
2019	A*	`conf`	Bilinear Attention Networks for Person Retrieval. ICCV Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
2019	—	`conf`	CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. ICCV Workshops Kartik Gupta, Lars Petersson, Richard Hartley
2019	J	`jnl`	CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. CoRR Kartik Gupta, Lars Petersson, Richard Hartley
2019	J	`jnl`	Learning Variations in Human Motion via Mix-and-Match Perturbation. CoRR Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould, Amirhossein Habibian
2019	A	`conf`	Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects. BMVC Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson
2019	J	`jnl`	Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects. CoRR Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson
2019	J	`jnl`	Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network. CoRR Mehrdad Shoeiby, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson
2019	J	`jnl`	Neural Memory Networks for Robust Classification of Seizure Type. CoRR David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes
2019	J	`jnl`	Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior. CoRR Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould
2019	J	`jnl`	Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network. CoRR Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly
2019	A*	`conf`	The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation. CVPR Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li, Stephen Gould
2019	J	`jnl`	Transductive Zero-Shot Learning for 3D Point Cloud Classification. CoRR Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson
2019	Misc	`conf`	Zero-shot Learning of 3D Point Cloud Objects. MVA Ali Cheraghian, Shafin Rahman, Lars Petersson
2019	J	`jnl`	Zero-shot Learning of 3D Point Cloud Objects. CoRR Ali Cheraghian, Shafin Rahman, Lars Petersson
2018	J	`jnl`	3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds. CoRR Ali Cheraghian, Lars Petersson
2018	—	`conf`	Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. ECCV (2) Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez
2018	J	`jnl`	Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. CoRR Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez
2018	A*	`conf`	Improving Object Localization With Fitness NMS and Bounded IoU Loss. CVPR Lachlan Tychsen-Smith, Lars Petersson
2018	J	`jnl`	Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould
2018	J	`jnl`	The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation. CoRR Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li, Stephen Gould
2018	—	`conf`	VIENA ^2 : A Driving Anticipation Dataset. ACCV (1) Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson
2018	J	`jnl`	VIENA2: A Driving Anticipation Dataset. CoRR Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson
2017	A*	`conf`	Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation. ICCV Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez
2017	J	`jnl`	Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation. CoRR Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez
2017	A*	`conf`	DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling. ICCV Lachlan Tychsen-Smith, Lars Petersson
2017	J	`jnl`	DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling. CoRR Lachlan Tychsen-Smith, Lars Petersson
2017	A*	`conf`	Encouraging LSTMs to Anticipate Actions Very Early. ICCV Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson
2017	J	`jnl`	Encouraging LSTMs to Anticipate Actions Very Early. CoRR Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson
2017	A*	`conf`	Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence. ICCV Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li
2017	J	`jnl`	Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence. CoRR Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li
2017	J	`jnl`	Improving Object Localization with Fitness NMS and Bounded IoU Loss. CoRR Lachlan Tychsen-Smith, Lars Petersson
2017	J	`jnl`	Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation. CoRR Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould
2017	—	`conf`	Road Asset Detection Model Using Smartphones: A Deployment Analysis. ICDSC Dana Pordel, Lars Petersson
2017	J	`jnl`	Soft Correspondences in Multimodal Scene Parsing. CoRR Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson
2016	B	`conf`	2D-3D semantic segmentation using cardinality as higher-order loss. ICPR Shahin Rahmatollahi Namin, José M. Álvarez, Lars Petersson
2016	—	`conf`	Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. ECCV (8) Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez
2016	J	`jnl`	Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. CoRR Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez
2016	J	`jnl`	DecomposeMe: Simplifying ConvNets for End-to-End Learning. CoRR José M. Álvarez, Lars Petersson
2016	J	`jnl`	Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation. CoRR Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Basura Fernando, Mathieu Salzmann, Lars Petersson, Lars Andersson
2016	A*	`conf`	GOGMA: Globally-Optimal Gaussian Mixture Alignment. CVPR Dylan Campbell, Lars Petersson
2016	J	`jnl`	GOGMA: Globally-Optimal Gaussian Mixture Alignment. CoRR Dylan Campbell, Lars Petersson
2016	B	`conf`	Latent structural SVM with marginal probabilities for weakly labeled structured learning. ICIP Shahin Rahmatollahi Namin, José M. Álvarez, Laurent Kneip, Lars Petersson
2016	A*	`conf`	Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering. CVPR Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson
2015	A	`conf`	A Multi-modal Graphical Model for Scene Analysis. WACV Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson
2015	—	`conf`	A cost-benefit analysis of an ad-hoc road asset data collection system using fleet-vehicles. ICDSC Dana Pordel, Lars Petersson
2015	A*	`conf`	An Adaptive Data Representation for Robust Point-Set Registration and Merging. ICCV Dylan Campbell, Lars Petersson
2015	J	`jnl`	An Adaptive Data Representation for Robust Point-Set Registration and Merging. CoRR Dylan Campbell, Lars Petersson
2015	A*	`conf`	Cutting Edge: Soft Correspondences in Multimodal Scene Parsing. ICCV Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson
2015	B	`conf`	Modeling the cost and coverage of an ad-hoc asset management system based on existing fleet vehicles. Intelligent Vehicles Symposium Dana Pordel, Lars Petersson, Shahin Namin, Adrian Rebola-Pardo
2015	J	`jnl`	Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering. CoRR Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson
2014	J	`jnl`	Creating robust high-throughput traffic sign detectors using centre-surround HOG statistics. Mach. Vis. Appl. Gary Overett, Lachlan Tychsen-Smith, Lars Petersson, Niklas Pettersson, Lars Andersson
2014	A	`conf`	Multi-view terrain classification using panoramic imagery and LIDAR. IROS Sarah Taghavi Namin, Mohammad Najafi, Lars Petersson
2014	—	`conf`	Non-associative Higher-Order Markov Networks for Point Cloud Classification. ECCV (5) Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson
2014	—	`conf`	dMap: A Low-Cost Distributed Mapping Concept for Future Road Asset Management. ICDSC Dana Pordel, Lars Petersson, Philip Kilby
2013	A	`conf`	Classification of natural scene multi spectral images using a new enhanced CRF. IROS Mohammad Najafi, Sarah Taghavi Namin, Lars Petersson
2012	C	`conf`	A computationally efficient low-bandwidth method for very-large-scale mapping of road signs with multiple vehicles. FUSION Ashkan Amirsadri, Adrian N. Bishop, Jonghyuk Kim, Jochen Trumpf, Lars Petersson
2012	A	`conf`	Classification of materials in natural scenes using multi-spectral images. IROS Sarah Taghavi Namin, Lars Petersson
2012	C	`conf`	Practical considerations in precise calibration of a low-cost MEMS IMU for road-mapping applications. ACC Ashkan Amirsadri, Jonghyuk Kim, Lars Petersson, Jochen Trumpf
2011	B	`conf`	Large scale sign detection using HOG feature variants. Intelligent Vehicles Symposium Gary Overett, Lars Petersson
2009	—	`conf`	Fast features for time constrained object detection. CVPR Workshops Gary Overett, Lars Petersson
2008	J	`jnl`	Statistical Threat Assessment for General Road Scenes Using Monte Carlo Sampling. IEEE Trans. Intell. Transp. Syst. Andreas Eidehall, Lars Petersson
2007	A*	`conf`	Improved Response Modelling on Weak Classifiers for Boosting. ICRA Gary Overett, Lars Petersson
2006	—	`conf`	Threat assessment for general road scenes using monte carlo sampling. ITSC Andreas Eidehall, Lars Petersson
2006	J	`jnl`	Towards Safer Roads by Integration of Road Scene Monitoring and Vehicle Control. Int. J. Robotics Res. Lars Petersson, Luke Fletcher, Alexander Zelinsky, Nick Barnes, Fredrik Arnell
2005	A*	`conf`	A Sign Reading Driver Assistance System Using Eye Gaze. ICRA Luke Fletcher, Lars Petersson, Nick Barnes, David J. Austin, Alexander Zelinsky
2005	A	`conf`	Generic fusion of visual cues applied to real-world object segmentation. IROS Fredrik Arnell, Lars Petersson
2004	A*	`conf`	An Interactive Driver Assistance System Monitoring the Scene in and out of the Vehicle. ICRA Lars Petersson, Luke Fletcher, Nick Barnes, Alexander Zelinsky
2003	A*	`conf`	Driver assistance: an integration of vehicle monitoring and control. ICRA Lars Petersson, Nicholas Apostoloff, Alexander Zelinsky
2003	—	`conf`	Towards Safer Roads by Integration of Road Scene Monitoring and Vehicle Control. FSR Lars Petersson, Alexander Zelinsky
2003	J	`jnl`	Vision in and out of Vehicles. IEEE Intell. Syst. Luke Fletcher, Nicholas Apostoloff, Lars Petersson, Alexander Zelinsky
2002	—	`—`	A framework for integration of processes in autonomous systems. Lars Petersson
2002	A*	`conf`	Systems Integration for Real-World Manipulation Tasks. ICRA Lars Petersson, Patric Jensfelt, Dennis Tell, M. Strandberg, Danica Kragic, Henrik I. Christensen
2002	J	`jnl`	Visually guided manipulation tasks. Robotics Auton. Syst. Danica Kragic, Lars Petersson, Henrik I. Christensen
2001	A	`conf`	DCA: a distributed control architecture for robotics. IROS Lars Petersson, David J. Austin, Henrik Christenseni
2000	A	`conf`	High-level control of a mobile manipulator for door opening. IROS Lars Petersson, David J. Austin, Danica Kragic
2000	—	`conf`	Reactive mobile manipulation using dynamic trajectory tracking: design and implementation. CDC Petter Ögren, Lars Petersson, Magnus Egerstedt, Xiaoming Hu
1999	A	`conf`	A hybrid control architecture for mobile manipulation. IROS Lars Petersson, Magnus Egerstedt, Henrik I. Christensen