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2020 – today
- 2024
[j22]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: 102146-102166 (2024)- [j21]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): 77 (2024) - [j20]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): 2391-2404 (2024) - [j19]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): 3843-3845 (2024) - [c88]Sam Cantrill, David Ahmedt-Aristizabal, Lars Petersson, Hanna Suominen, Mohammad Ali Armin:
Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation. CVPR Workshops 2024: 354-363 - [c87]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. CVPR 2024: 23231-23241 - [c86]Ali Cheraghian, Zeeshan Hayder, Sameera Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi:
Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning. ECCV (41) 2024: 36-53 - [c85]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. ISBI 2024: 1-5 - [c84]Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes:
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach. WACV 2024: 1062-1071 - [c83]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: 1690-1699 - [i78]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 abs/2403.14235 (2024) - [i77]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 abs/2403.18442 (2024) - [i76]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 abs/2404.09378 (2024) - [i75]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 abs/2404.11256 (2024) - [i74]Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland:
NeFF-BioNet: Crop Biomass Prediction from Point Cloud to Drone Imagery. CoRR abs/2410.23901 (2024) - 2023
- [j18]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: 107451 (2023) - [j17]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): 272:1-272:38 (2023) - [j16]Pengfei Fang, Mehrtash Harandi, Zhenzhong Lan, Lars Petersson:
Poincaré Kernels for Hyperbolic Representations. Int. J. Comput. Vis. 131(11): 2770-2792 (2023) - [c82]Sundaram Muthu, Taj Wedutenko, Jinguang Tong, Chuong Nguyen, Lars Petersson:
Towards End-to-End Automatic Insect Handling and Insect Scanning. DICTA 2023: 168-175 - [c81]Olivia Dry, Sundaram Muthu, Jinguang Tong, Chuong Nguyen, Lars Petersson:
IQScan: Automatic Insect Loading and 3D Scanning. DICTA 2023: 205-211 - [c80]Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi:
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. DICTA 2023: 356-363 - [c79]Weihao Li, Moshiur Farazi, Jie Hong, Lars Petersson:
REIN: Reusing ImageNet to Improve Open-set Object Detection. DICTA 2023: 523-530 - [c78]Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Hyperbolic Audio-visual Zero-shot Learning. ICCV 2023: 7839-7849 - [c77]Jieming Zhou, Tong Zhang, Zeeshan Hayder, Lars Petersson, Mehrtash Harandi:
Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation. ICCV (Workshops) 2023: 2084-2094 - [c76]Heming Du, Xin Yu, Farookh Khadeer Hussain, Mohammad Ali Armin, Lars Petersson, Weihao Li:
Weakly-supervised Point Cloud Instance Segmentation with Geometric Priors. WACV 2023: 4260-4269 - [i73]Ali Zia, Abdelwahed Khamis, James Nichols, Zeeshan Hayder, Vivien Rolland, Lars Petersson:
Topological Deep Learning: A Review of an Emerging Paradigm. CoRR abs/2302.03836 (2023) - [i72]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 abs/2305.05080 (2023) - [i71]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 abs/2305.16555 (2023) - [i70]Nariman Habili, Jeremy Oorloff, Lars Petersson:
Automatic Illumination Spectrum Recovery. CoRR abs/2305.19538 (2023) - [i69]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 abs/2308.05166 (2023) - [i68]Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Hyperbolic Audio-visual Zero-shot Learning. CoRR abs/2308.12558 (2023) - [i67]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 abs/2310.03335 (2023) - [i66]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 abs/2311.15836 (2023) - [i65]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 abs/2312.00306 (2023) - [i64]Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson:
A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection. CoRR abs/2312.06728 (2023) - [i63]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 abs/2312.10930 (2023) - 2022
- [j15]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: 102027 (2022) - [j14]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): 2364-2384 (2022) - [j13]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): 4626-4641 (2022) - [j12]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): 4297 (2022) - [c75]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: 11991-11999 - [c74]Tanveer Hussain, Abbas Anwar, Saeed Anwar, Lars Petersson, Sung Wook Baik:
Pyramidal Attention for Saliency Detection. CVPR Workshops 2022: 2877-2887 - [c73]Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes:
Towards Open-Set Object Detection and Discovery. CVPR Workshops 2022: 3960-3969 - [c72]Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li:
Blind Image Decomposition. ECCV (18) 2022: 218-237 - [c71]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: 258-267 - [c70]Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong:
Declarative nets that are equilibrium models. ICLR 2022 - [c69]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: 8196-8212 - [c68]Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida:
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. ICPR 2022: 2078-2085 - [c67]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: 1-5 - [c66]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: 1716-1726 - [c65]Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi:
Towards a Robust Differentiable Architecture Search under Label Noise. WACV 2022: 3584-3594 - [i62]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 abs/2201.12078 (2022) - [i61]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 abs/2202.13096 (2022) - [i60]Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
GOSS: Towards Generalized Open-set Semantic Segmentation. CoRR abs/2203.12116 (2022) - [i59]Mithun Lal, Anthony Paproki, Nariman Habili, Lars Petersson, Olivier Salvado, Clinton Fookes:
Learning Dense Correspondence from Synthetic Environments. CoRR abs/2203.12919 (2022) - [i58]Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes:
Towards Open-Set Object Detection and Discovery. CoRR abs/2204.05604 (2022) - [i57]Tanveer Hussain, Abbas Anwar, Saeed Anwar, Lars Petersson, Sung Wook Baik:
Pyramidal Attention for Saliency Detection. CoRR abs/2204.06788 (2022) - [i56]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 abs/2205.07085 (2022) - [i55]Junlin Han, Lars Petersson, Hongdong Li, Ian D. Reid:
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping. CoRR abs/2205.15955 (2022) - [i54]Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi:
Curved Geometric Networks for Visual Anomaly Recognition. CoRR abs/2208.01188 (2022) - [i53]Soumava Kumar Roy, Yan Han, Mehrtash Harandi, Lars Petersson:
Learning Deep Optimal Embeddings with Sinkhorn Divergences. CoRR abs/2209.06469 (2022) - [i52]Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida:
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. CoRR abs/2210.06120 (2022) - [i51]Junlin Han, Huangying Zhan, Jie Hong, Pengfei Fang, Hongdong Li, Lars Petersson, Ian D. Reid:
What Images are More Memorable to Machines? CoRR abs/2211.07625 (2022) - [i50]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 abs/2212.02011 (2022) - [i49]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 abs/2212.02749 (2022) - 2021
- [j11]Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Discrepant collaborative training by Sinkhorn divergences. Image Vis. Comput. 112: 104213 (2021) - [j10]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): 47 (2021) - [j9]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): 4758 (2021) - [c64]Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin:
Dual Contrastive Learning for Unsupervised Image-to-Image Translation. CVPR Workshops 2021: 746-755 - [c63]Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson:
Reinforced Attention for Few-Shot Learning and Beyond. CVPR 2021: 913-923 - [c62]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: 2534-2543 - [c61]Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Video-Based Inpatient Fall Risk Assessment: A Case Study. EMBC 2021: 2601-2604 - [c60]Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Towards Interpretable Attention Networks for Cervical Cancer Analysis. EMBC 2021: 3613-3616 - [c59]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: 8641-8650 - [c58]Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Kernel Methods in Hyperbolic Spaces. ICCV 2021: 10645-10654 - [c57]Sadegh Aliakbarian, Fatemeh Sadat Saleh, Lars Petersson, Stephen Gould, Mathieu Salzmann:
Contextually Plausible and Diverse 3D Human Motion Prediction. ICCV 2021: 11313-11322 - [c56]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: 2385-2388 - [c55]Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi:
Set Augmented Triplet Loss for Video Person Re-Identification. WACV 2021: 464-473 - [i48]Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CoRR abs/2103.04059 (2021) - [i47]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 abs/2103.09697 (2021) - [i46]Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson:
Reinforced Attention for Few-Shot Learning and Beyond. CoRR abs/2104.04192 (2021) - [i45]Ali Cheraghian, Shafin Rahman, Townim F. Chowdhury, Dylan Campbell, Lars Petersson:
Zero-Shot Learning on 3D Point Cloud Objects and Beyond. CoRR abs/2104.04980 (2021) - [i44]Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin:
Dual Contrastive Learning for Unsupervised Image-to-Image Translation. CoRR abs/2104.07689 (2021) - [i43]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 abs/2105.13137 (2021) - [i42]Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Towards Interpretable Attention Networks for Cervical Cancer Analysis. CoRR abs/2106.00557 (2021) - [i41]Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Video-Based Inpatient Fall Risk Assessment: A Case Study. CoRR abs/2106.07565 (2021) - [i40]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 abs/2106.10718 (2021) - [i39]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
A Survey on Graph-Based Deep Learning for Computational Histopathology. CoRR abs/2107.00272 (2021) - [i38]Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li:
Blind Image Decomposition. CoRR abs/2108.11364 (2021) - [i37]Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi:
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. CoRR abs/2109.09300 (2021) - [i36]Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi:
Towards a Robust Differentiable Architecture Search under Label Noise. CoRR abs/2110.12197 (2021) - [i35]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 abs/2111.15124 (2021) - [i34]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 abs/2112.09600 (2021) - 2020
- [j8]Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Cross-Correlated Attention Networks for Person Re-Identification. Image Vis. Comput. 100: 103931 (2020) - [j7]Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li:
Globally-Optimal Inlier Set Maximisation for Camera Pose and Correspondence Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 328-342 (2020) - [c54]Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi:
Channel Recurrent Attention Networks for Video Pedestrian Retrieval. ACCV (6) 2020: 427-443 - [c53]Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson:
Mosaic Super-resolution via Sequential Feature Pyramid Networks. CVPR Workshops 2020: 378-387 - [c52]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould:
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction. CVPR 2020: 5222-5231 - [c51]Dongxu Li, Xin Yu, Chenchen Xu, Lars Petersson, Hongdong Li:
Transferring Cross-Domain Knowledge for Video Sign Language Recognition. CVPR 2020: 6204-6213 - [c50]David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
Attention Networks for Multi-Task Signal Analysis. EMBC 2020: 184-187 - [c49]David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes:
Neural Memory Networks for Seizure Type Classification. EMBC 2020: 569-575 - [c48]Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson:
Transductive Zero-Shot Learning for 3D Point Cloud Classification. WACV 2020: 912-922 - [c47]Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly:
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network. WACV 2020: 2793-2802 - [c46]Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Learning from Noisy Labels via Discrepant Collaborative Training. WACV 2020: 3158-3167 - [i33]Dongxu Li, Xin Yu, Chenchen Xu, Lars Petersson, Hongdong Li:
Transferring Cross-domain Knowledge for Video Sign Language Recognition. CoRR abs/2003.03703 (2020) - [i32]Saeed Anwar, Nick Barnes, Lars Petersson:
A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers. CoRR abs/2003.11154 (2020) - [i31]Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson:
Mosaic Super-resolution via Sequential Feature Pyramid Networks. CoRR abs/2004.06853 (2020) - [i30]Saeed Anwar, Nick Barnes, Lars Petersson:
Attention Prior for Real Image Restoration. CoRR abs/2004.13524 (2020) - [i29]Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Cross-Correlated Attention Networks for Person Re-Identification. CoRR abs/2006.09597 (2020) - [i28]Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi:
Channel Recurrent Attention Networks for Video Pedestrian Retrieval. CoRR abs/2010.03108 (2020) - [i27]Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi:
Set Augmented Triplet Loss for Video Person Re-Identification. CoRR abs/2011.00774 (2020)
2010 – 2019
- 2019
- [c45]Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson:
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects. BMVC 2019: 41 - [c44]Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li, Stephen Gould:
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation. CVPR 2019: 11796-11806 - [c43]Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Bilinear Attention Networks for Person Retrieval. ICCV 2019: 8029-8038 - [c42]Kartik Gupta, Lars Petersson, Richard Hartley:
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. ICCV Workshops 2019: 2758-2766 - [c41]Ali Cheraghian, Shafin Rahman, Lars Petersson:
Zero-shot Learning of 3D Point Cloud Objects. MVA 2019: 1-6 - [c40]Ali Cheraghian, Lars Petersson:
3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds. WACV 2019: 1194-1202 - [i26]Ali Cheraghian, Shafin Rahman, Lars Petersson:
Zero-shot Learning of 3D Point Cloud Objects. CoRR abs/1902.10272 (2019) - [i25]Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson:
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects. CoRR abs/1907.06371 (2019) - [i24]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould, AmirHossein Habibian:
Learning Variations in Human Motion via Mix-and-Match Perturbation. CoRR abs/1908.00733 (2019) - [i23]Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly:
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network. CoRR abs/1909.02221 (2019) - [i22]Mehrdad Shoeiby, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson:
Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network. CoRR abs/1909.07577 (2019) - [i21]Kartik Gupta, Lars Petersson, Richard Hartley:
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. CoRR abs/1909.13476 (2019) - [i20]David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes:
Neural Memory Networks for Robust Classification of Seizure Type. CoRR abs/1912.04968 (2019) - [i19]Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson:
Transductive Zero-Shot Learning for 3D Point Cloud Classification. CoRR abs/1912.07161 (2019) - [i18]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould:
Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior. CoRR abs/1912.08521 (2019) - 2018
- [j6]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould:
Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1382-1396 (2018) - [c39]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson:
VIENA ^2 : A Driving Anticipation Dataset. ACCV (1) 2018: 449-466 - [c38]Lachlan Tychsen-Smith, Lars Petersson:
Improving Object Localization With Fitness NMS and Bounded IoU Loss. CVPR 2018: 6877-6885 - [c37]Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. ECCV (2) 2018: 86-103 - [i17]Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. CoRR abs/1807.06132 (2018) - [i16]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson:
VIENA2: A Driving Anticipation Dataset. CoRR abs/1810.09044 (2018) - [i15]Ali Cheraghian, Lars Petersson:
3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds. CoRR abs/1811.02191 (2018) - [i14]Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li, Stephen Gould:
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation. CoRR abs/1812.01232 (2018) - 2017
- [c36]Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li:
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence. ICCV 2017: 1-10 - [c35]Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson:
Encouraging LSTMs to Anticipate Actions Very Early. ICCV 2017: 280-289 - [c34]Lachlan Tychsen-Smith, Lars Petersson:
DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling. ICCV 2017: 428-436 - [c33]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation. ICCV 2017: 2125-2135 - [c32]Dana Pordel, Lars Petersson:
Road Asset Detection Model Using Smartphones: A Deployment Analysis. ICDSC 2017: 193-198 - [i13]Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson:
Encouraging LSTMs to Anticipate Actions Very Early. CoRR abs/1703.07023 (2017) - [i12]Lachlan Tychsen-Smith, Lars Petersson:
DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling. CoRR abs/1703.10295 (2017) - [i11]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould:
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation. CoRR abs/1706.02189 (2017) - [i10]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation. CoRR abs/1708.04400 (2017) - [i9]Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li:
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence. CoRR abs/1709.09384 (2017) - [i8]Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson:
Soft Correspondences in Multimodal Scene Parsing. CoRR abs/1709.09843 (2017) - [i7]Lachlan Tychsen-Smith, Lars Petersson:
Improving Object Localization with Fitness NMS and Bounded IoU Loss. CoRR abs/1711.00164 (2017) - 2016
- [c31]Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson:
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering. CVPR 2016: 607-615 - [c30]Dylan Campbell, Lars Petersson:
GOGMA: Globally-Optimal Gaussian Mixture Alignment. CVPR 2016: 5685-5694 - [c29]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez:
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. ECCV (8) 2016: 413-432 - [c28]Shahin Rahmatollahi Namin, José M. Álvarez, Laurent Kneip, Lars Petersson:
Latent structural SVM with marginal probabilities for weakly labeled structured learning. ICIP 2016: 3733-3737 - [c27]Shahin Rahmatollahi Namin, José M. Álvarez, Lars Petersson:
2D-3D semantic segmentation using cardinality as higher-order loss. ICPR 2016: 3775-3780 - [i6]Dylan Campbell, Lars Petersson:
GOGMA: Globally-Optimal Gaussian Mixture Alignment. CoRR abs/1603.00150 (2016) - [i5]José M. Álvarez, Lars Petersson:
DecomposeMe: Simplifying ConvNets for End-to-End Learning. CoRR abs/1606.05426 (2016) - [i4]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez:
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. CoRR abs/1609.00446 (2016) - [i3]Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Basura Fernando, Mathieu Salzmann, Lars Petersson, Lars Andersson:
Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation. CoRR abs/1611.05520 (2016) - 2015
- [c26]Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson:
Cutting Edge: Soft Correspondences in Multimodal Scene Parsing. ICCV 2015: 1188-1196 - [c25]Dylan Campbell, Lars Petersson:
An Adaptive Data Representation for Robust Point-Set Registration and Merging. ICCV 2015: 4292-4300 - [c24]Dana Pordel, Lars Petersson:
A cost-benefit analysis of an ad-hoc road asset data collection system using fleet-vehicles. ICDSC 2015: 98-103 - [c23]Dana Pordel, Lars Petersson, Shahin Namin, Adrian Rebola-Pardo:
Modeling the cost and coverage of an ad-hoc asset management system based on existing fleet vehicles. Intelligent Vehicles Symposium 2015: 1068-1073 - [c22]Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson:
A Multi-modal Graphical Model for Scene Analysis. WACV 2015: 1006-1013 - [i2]Dylan Campbell, Lars Petersson:
An Adaptive Data Representation for Robust Point-Set Registration and Merging. CoRR abs/1511.04240 (2015) - [i1]Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson:
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering. CoRR abs/1511.04960 (2015) - 2014
- [j5]Gary Overett, Lachlan Tychsen-Smith, Lars Petersson, Niklas Pettersson, Lars Andersson:
Creating robust high-throughput traffic sign detectors using centre-surround HOG statistics. Mach. Vis. Appl. 25(3): 713-726 (2014) - [c21]Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson:
Non-associative Higher-Order Markov Networks for Point Cloud Classification. ECCV (5) 2014: 500-515 - [c20]Dana Pordel, Lars Petersson, Philip Kilby:
dMap: A Low-Cost Distributed Mapping Concept for Future Road Asset Management. ICDSC 2014: 24:1-24:8 - [c19]Sarah Taghavi Namin, Mohammad Najafi, Lars Petersson:
Multi-view terrain classification using panoramic imagery and LIDAR. IROS 2014: 4936-4943 - 2013
- [c18]Mohammad Najafi, Sarah Taghavi Namin, Lars Petersson:
Classification of natural scene multi spectral images using a new enhanced CRF. IROS 2013: 3704-3711 - 2012
- [c17]Ashkan Amirsadri, Jonghyuk Kim, Lars Petersson, Jochen Trumpf:
Practical considerations in precise calibration of a low-cost MEMS IMU for road-mapping applications. ACC 2012: 881-888 - [c16]Ashkan Amirsadri, Adrian N. Bishop, Jonghyuk Kim, Jochen Trumpf, Lars Petersson:
A computationally efficient low-bandwidth method for very-large-scale mapping of road signs with multiple vehicles. FUSION 2012: 1351-1358 - [c15]Sarah Taghavi Namin, Lars Petersson:
Classification of materials in natural scenes using multi-spectral images. IROS 2012: 1393-1398 - 2011
- [c14]Gary Overett, Lars Petersson:
Large scale sign detection using HOG feature variants. Intelligent Vehicles Symposium 2011: 326-331
2000 – 2009
- 2009
- [c13]Gary Overett, Lars Petersson:
Fast features for time constrained object detection. CVPR Workshops 2009: 23-30 - 2008
- [j4]Andreas Eidehall, Lars Petersson:
Statistical Threat Assessment for General Road Scenes Using Monte Carlo Sampling. IEEE Trans. Intell. Transp. Syst. 9(1): 137-147 (2008) - 2007
- [c12]Gary Overett, Lars Petersson:
Improved Response Modelling on Weak Classifiers for Boosting. ICRA 2007: 3799-3804 - 2006
- [j3]Lars Petersson, Luke Fletcher, Alexander Zelinsky, Nick Barnes, Fredrik Arnell:
Towards Safer Roads by Integration of Road Scene Monitoring and Vehicle Control. Int. J. Robotics Res. 25(1): 53-72 (2006) - [c11]Andreas Eidehall, Lars Petersson:
Threat assessment for general road scenes using monte carlo sampling. ITSC 2006: 1173-1178 - 2005
- [c10]Luke Fletcher, Lars Petersson, Nick Barnes, David J. Austin, Alexander Zelinsky:
A Sign Reading Driver Assistance System Using Eye Gaze. ICRA 2005: 4655-4660 - [c9]Fredrik Arnell, Lars Petersson:
Generic fusion of visual cues applied to real-world object segmentation. IROS 2005: 4015-4020 - 2004
- [c8]Lars Petersson, Luke Fletcher, Nick Barnes, Alexander Zelinsky:
An Interactive Driver Assistance System Monitoring the Scene in and out of the Vehicle. ICRA 2004: 3475-3481 - 2003
- [j2]Luke Fletcher, Nicholas Apostoloff, Lars Petersson, Alexander Zelinsky:
Vision in and out of Vehicles. IEEE Intell. Syst. 18(3): 12-17 (2003) - [c7]Lars Petersson, Alexander Zelinsky:
Towards Safer Roads by Integration of Road Scene Monitoring and Vehicle Control. FSR 2003: 367-376 - [c6]Lars Petersson, Nicholas Apostoloff, Alexander Zelinsky:
Driver assistance: an integration of vehicle monitoring and control. ICRA 2003: 2097-2103 - 2002
- [b1]Lars Petersson:
A framework for integration of processes in autonomous systems. KTH Royal Institute of Technology, Sweden, 2002 - [j1]Danica Kragic, Lars Petersson, Henrik I. Christensen:
Visually guided manipulation tasks. Robotics Auton. Syst. 40(2-3): 193-203 (2002) - [c5]Lars Petersson, Patric Jensfelt, Dennis Tell, M. Strandberg, Danica Kragic, Henrik I. Christensen:
Systems Integration for Real-World Manipulation Tasks. ICRA 2002: 2500-2505 - 2001
- [c4]Lars Petersson, David J. Austin, Henrik Christenseni:
DCA: a distributed control architecture for robotics. IROS 2001: 2361-2368 - 2000
- [c3]Petter Ögren, Lars Petersson, Magnus Egerstedt, Xiaoming Hu:
Reactive mobile manipulation using dynamic trajectory tracking: design and implementation. CDC 2000: 3001-3006 - [c2]Lars Petersson, David J. Austin, Danica Kragic:
High-level control of a mobile manipulator for door opening. IROS 2000: 2333-2338
1990 – 1999
- 1999
- [c1]Lars Petersson, Magnus Egerstedt, Henrik I. Christensen:
A hybrid control architecture for mobile manipulation. IROS 1999: 1285-1291
Coauthor Index
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