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ORCIDThomas B. Moeslund
Thomas Baltzer Moeslund
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- affiliation: Aalborg University, Denmark
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2020 – today
- 2023
[j75]Antonio Barbalau, Radu Tudor Ionescu
, Mariana-Iuliana Georgescu, Jacob V. Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection. Comput. Vis. Image Underst. 229: 103656 (2023)- [c227]Galadrielle Humblot-Renaux, Sergio Escalera, Thomas B. Moeslund:
Beyond AUROC & co. for evaluating out-of-distribution detection performance. CVPR Workshops 2023: 3881-3890 - [c226]Malte Pedersen, Daniel Lehotský, Ivan A. Nikolov, Thomas B. Moeslund:
BrackishMOT: The Brackish Multi-Object Tracking Dataset. SCIA (1) 2023: 17-33 - [c225]Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund:
RELIEF: Joint Low-Light Image Enhancement and Super-Resolution with Transformers. SCIA (1) 2023: 157-173 - [c224]Neelu Madan, Mia Sandra Nicole Siemon, Magnus Kaufmann Gjerde, Bastian Starup Petersson, Arijus Grotuzas, Malthe Aaholm Esbensen, Ivan Adriyanov Nikolov, Mark Philip Philipsen, Kamal Nasrollahi, Thomas B. Moeslund:
ThermalSynth: A Novel Approach for Generating Synthetic Thermal Human Scenarios. WACV (Workshops) 2023: 130-139 - [c223]Mickael Cormier, Andreas Specker, Júlio C. S. Jacques Júnior, Lucas Florin, Jürgen Metzler, Thomas B. Moeslund, Kamal Nasrollahi, Sergio Escalera, Jürgen Beyerer:
UPAR Challenge: Pedestrian Attribute Recognition and Attribute-based Person Retrieval - Dataset, Design, and Results. WACV (Workshops) 2023: 166-175 - [i32]Malte Pedersen, Daniel Lehotský, Ivan A. Nikolov, Thomas B. Moeslund:
BrackishMOT: The Brackish Multi-Object Tracking Dataset. CoRR abs/2302.10645 (2023) - [i31]Galadrielle Humblot-Renaux, Sergio Escalera, Thomas B. Moeslund:
Beyond AUROC & co. for evaluating out-of-distribution detection performance. CoRR abs/2306.14658 (2023) - [i30]Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund:
Which Tokens to Use? Investigating Token Reduction in Vision Transformers. CoRR abs/2308.04657 (2023) - [i29]Neelu Madan, Nicolae-Catalin Ristea, Kamal Nasrollahi, Thomas B. Moeslund, Radu Tudor Ionescu:
CL-MAE: Curriculum-Learned Masked Autoencoders. CoRR abs/2308.16572 (2023) - 2022
- [j74]Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund:
Real-world super-resolution of face-images from surveillance cameras. IET Image Process. 16(2): 442-452 (2022) - [j73]Jinsong Liu, Isak Worre Foged, Thomas B. Moeslund:
Automatic estimation of clothing insulation rate and metabolic rate for dynamic thermal comfort assessment. Pattern Anal. Appl. 25(3): 619-634 (2022) - [j72]Chaudhary Muhammad Aqdus Ilyas, Matthias Rehm, Kamal Nasrollahi, Yeganeh Madadi, Thomas B. Moeslund, Vahid Seydi:
Deep transfer learning in human-robot interaction for cognitive and physical rehabilitation purposes. Pattern Anal. Appl. 25(3): 653-677 (2022) - [j71]Satya M. Muddamsetty, Mohammad N. S. Jahromi, Andreea E. Ciontos, Laura M. Fenoy, Thomas B. Moeslund:
Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) method. Pattern Recognit. 127: 108604 (2022) - [j70]Galadrielle Humblot-Renaux, Letizia Marchegiani, Thomas B. Moeslund, Rikke Gade:
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images. IEEE Robotics Autom. Lett. 7(2): 2913-2920 (2022) - [j69]Jinsong Liu, Isak Worre Foged, Thomas B. Moeslund:
Clothing Insulation Rate and Metabolic Rate Estimation for Individual Thermal Comfort Assessment in Real Life. Sensors 22(2): 619 (2022) - [j68]Ivan A. Nikolov, Jinsong Liu, Thomas B. Moeslund:
Imitating Emergencies: Generating Thermal Surveillance Fall Data Using Low-Cost Human-like Dolls. Sensors 22(3): 825 (2022) - [j67]Christoffer Bøgelund Rasmussen, Kristian Kirk, Thomas B. Moeslund:
The Challenge of Data Annotation in Deep Learning - A Case Study on Whole Plant Corn Silage. Sensors 22(4): 1596 (2022) - [j66]Esma Mujkic, Mark P. Philipsen, Thomas B. Moeslund, Martin P. Christiansen, Ole Ravn:
Anomaly Detection for Agricultural Vehicles Using Autoencoders. Sensors 22(10): 3608 (2022) - [j65]Mikkel Berg Thøgersen, Mostafa Mohammadi, Muhammad Ahsan Gull, Stefan Hein Bengtson, Frederik Victor Kobbelgaard, Bo Bentsen, Benjamin Yamin Ali Khan, Kåre Eg Severinsen, Shaoping Bai, Thomas Bak, Thomas Baltzer Moeslund, Anne Marie Kanstrup, Lotte N. S. Andreasen Struijk:
User Based Development and Test of the EXOTIC Exoskeleton: Empowering Individuals with Tetraplegia Using a Compact, Versatile, 5-DoF Upper Limb Exoskeleton Controlled through Intelligent Semi-Automated Shared Tongue Control. Sensors 22(18): 6919 (2022) - [j64]Pau Rodríguez, Guillem Cucurull, Jordi Gonzàlez, Josep M. Gonfaus, Kamal Nasrollahi, Thomas B. Moeslund, F. Xavier Roca:
Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification. IEEE Trans. Cybern. 52(5): 3314-3324 (2022) - [j63]Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei, Kamal Nasrollahi, Thomas B. Moeslund:
Effective fusion of deep multitasking representations for robust visual tracking. Vis. Comput. 38(12): 4397-4417 (2022) - [c222]Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. CVPR 2022: 13566-13576 - [c221]Malte Pedersen, Joakim Bruslund Haurum, Patrick Dendorfer, Thomas B. Moeslund:
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric. ECCV (8) 2022: 20-37 - [c220]Anders Skaarup Johansen, Júlio C. S. Jacques Júnior, Kamal Nasrollahi, Sergio Escalera, Thomas B. Moeslund:
ChaLearn LAP Seasons in Drift Challenge: Dataset, Design and Results. ECCV Workshops (5) 2022: 755-769 - [c219]Lotte N. S. Andreasen Struijk, Anne Marie Kanstrup, Shaoping Bai, Thomas Bak, Mikkel Thøgersen, Mostafa Mohammadi, Stefan Hein Bengtson, Frederik Victor Kobbelgaard, Muhammad Ahsan Gull, Bo Bentsen, Kåre Eg Severinsen, Helge Kasch, Thomas Baltzer Moeslund:
The impact of interdisciplinarity and user involvement on the design and usability of an assistive upper limb exoskeleton - a case study on the EXOTIC. ICORR 2022: 1-5 - [c218]Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc-Cuong Pham, Ralph Ewerth, Ran Song, Rengang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei Zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, Yaqian Zhao, Yi Yu, Yingying Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li:
SoccerNet 2022 Challenges Results. MMSports@MM 2022: 75-86 - [c217]Hideo Saito, Thomas B. Moeslund, Rainer Lienhart:
MMSports'22: 5th International ACM Workshop on Multimedia Content Analysis in Sports. ACM Multimedia 2022: 7386-7388 - [c216]Malte Pedersen, Joakim Bruslund Haurum, Thomas B. Moeslund, Marianne Nyegaard:
Re-Identification of Giant Sunfish using Keypoint Matching. NLDL 2022 - [c215]Stefan Hein Bengtson, Hampus Åström, Thomas B. Moeslund, Elin A. Topp, Volker Krüger:
A Shared Pose Regression Network for Pose Estimation of Objects from RGB Images. SITIS 2022: 91-97 - [c214]Christoffer Bøgelund Rasmussen, Kristian Kirk, Thomas B. Moeslund:
SieveNet: Estimating the Particle Size Distribution of Kernel Fragments in Whole Plant Corn Silage. VISIGRAPP (5: VISAPP) 2022: 117-124 - [c213]Simon B. Jensen, Thomas B. Moeslund, Søren J. Andreasen:
Deep Learning-based Anomaly Detection on X-Ray Images of Fuel Cell Electrodes. VISIGRAPP (4: VISAPP) 2022: 323-330 - [c212]Albert Christensen, Daniel Lehotský, Mathias Krogh Poulsen, Thomas B. Moeslund:
Presenting a Novel Pipeline for Performance Comparison of V-PCC and G-PCC Point Cloud Compression Methods on Datasets with Varying Properties. VISIGRAPP (4: VISAPP) 2022: 387-393 - [c211]Jinsong Liu, Ivan A. Nikolov, Mark P. Philipsen, Thomas B. Moeslund:
Detecting Anomalies Reliably in Long-term Surveillance Systems. VISIGRAPP (4: VISAPP) 2022: 999-1009 - [c210]Andreas Aakerberg, Anders Skaarup Johansen, Kamal Nasrollahi, Thomas B. Moeslund:
Semantic Segmentation Guided Real-World Super-Resolution. WACV (Workshops) 2022: 449-458 - [c209]Joakim Bruslund Haurum, Meysam Madadi, Sergio Escalera, Thomas B. Moeslund:
Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder. WACV 2022: 1441-1452 - [e13]Rainer Lienhart, Thomas B. Moeslund, Hideo Saito:
MMSports@MM 2022: Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports, Lisboa, Portugal, 14 October 2022. ACM 2022, ISBN 978-1-4503-9488-8 [contents] - [i28]Javier Selva, Anders Skaarup Johansen, Sergio Escalera, Kamal Nasrollahi, Thomas B. Moeslund, Albert Clapés:
Video Transformers: A Survey. CoRR abs/2201.05991 (2022) - [i27]Simon B. Jensen, Thomas B. Moeslund, Søren J. Andreasen:
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes. CoRR abs/2202.07361 (2022) - [i26]Antonio Barbalau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob V. Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection. CoRR abs/2207.08003 (2022) - [i25]Malte Pedersen, Joakim Bruslund Haurum, Patrick Dendorfer, Thomas B. Moeslund:
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric. CoRR abs/2207.10031 (2022) - [i24]Neelu Madan, Nicolae-Catalin Ristea, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection. CoRR abs/2209.12148 (2022) - [i23]Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc-Cuong Pham, Ralph Ewerth, Ran Song, Rengang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei Zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, Yaqian Zhao, Yi Yu, Yingying Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li:
SoccerNet 2022 Challenges Results. CoRR abs/2210.02365 (2022) - 2021
- [j62]Anne Juhler Hansen, Thomas B. Moeslund, Hendrik Knoche:
Defect or Design? Leveraging the Angle of Opportunity for Detecting Scratches on Brushed Aluminium Surfaces. IEEE Access 9: 99526-99538 (2021) - [j61]Christoffer Bøgelund Rasmussen, Kristian Kirk, Thomas B. Moeslund:
Anchor tuning in Faster R-CNN for measuring corn silage physical characteristics. Comput. Electron. Agric. 188: 106344 (2021) - [j60]Nasrin Imanpour, Ahmad Reza Naghsh-Nilchi, Amirhassan Monadjemi, Hossein Karshenas, Kamal Nasrollahi, Thomas B. Moeslund:
Memory- and time-efficient dense network for single-image super-resolution. IET Signal Process. 15(2): 141-152 (2021) - [j59]Chris H. Bahnsen, Anders Skaarup Johansen, Mark P. Philipsen, Jesper W. Henriksen, Kamal Nasrollahi, Thomas B. Moeslund:
3D Sensors for Sewer Inspection: A Quantitative Review and Analysis. Sensors 21(7): 2553 (2021) - [j58]Matteo Poggi, Thomas B. Moeslund:
Computer Vision for 3D Perception and Applications. Sensors 21(12): 3944 (2021) - [c208]Anne Juhler Hansen, Mark P. Philipsen, Hendrik Knoche, Thomas B. Moeslund:
Machine Vision for Aesthetic Quality Control of Reflective Surfaces. AICV 2021: 389-401 - [c207]Jacob Velling Dueholm, Kamal Nasrollahi, Thomas Baltzer Moeslund:
Object-Centric Anomaly Detection Using Memory Augmentation. CAIP (1) 2021: 362-371 - [c206]Andreas Aakerberg, Anders Skaarup Johansen, Kamal Nasrollahi, Thomas B. Moeslund:
Single-Loss Multi-task Learning For Improving Semantic Segmentation Using Super-Resolution. CAIP (2) 2021: 403-411 - [c205]Adrien Deliège, Anthony Cioppa, Silvio Giancola, Meisam Jamshidi Seikavandi, Jacob V. Dueholm, Kamal Nasrollahi, Bernard Ghanem, Thomas B. Moeslund, Marc Van Droogenbroeck:
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos. CVPR Workshops 2021: 4508-4519 - [c204]Joakim Bruslund Haurum, Thomas B. Moeslund:
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark. CVPR 2021: 13456-13467 - [c203]Cristina Palmero, Júlio C. S. Jacques Júnior, Albert Clapés, Isabelle Guyon, Wei-Wei Tu, Thomas B. Moeslund, Sergio Escalera:
Understanding Social Behavior in Dyadic and Small Group Interactions: Preface. DYAD@ICCV 2021: 1-3 - [c202]Cristina Palmero, Germán Barquero, Júlio C. S. Jacques Júnior, Albert Clapés, Johnny Núñez, David Curto, Sorina Smeureanu, Javier Selva, Zejian Zhang, David Saeteros, David Gallardo-Pujol, Georgina Guilera, David Leiva, Feng Han, Xiaoxue Feng, Jennifer He, Wei-Wei Tu, Thomas B. Moeslund, Isabelle Guyon, Sergio Escalera:
ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions: Dataset, Design, and Results. DYAD@ICCV 2021: 4-52 - [c201]Neelu Madan, Arya Farkhondeh, Kamal Nasrollahi, Sergio Escalera, Thomas B. Moeslund:
Temporal Cues from Socially Unacceptable Trajectories for Anomaly Detection. ICCVW 2021: 2150-2158 - [c200]David Curto, Albert Clapés, Javier Selva, Sorina Smeureanu, Júlio C. S. Jacques Júnior, David Gallardo-Pujol, Georgina Guilera, David Leiva, Thomas B. Moeslund, Sergio Escalera, Cristina Palmero:
Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions. ICCVW 2021: 2177-2188 - [c199]Christoffer P. Simonsen, Frederik M. Thiesson, Mark P. Philipsen, Thomas B. Moeslund:
Generalizing Floor Plans Using Graph Neural Networks. ICIP 2021: 654-658 - [c198]Neelu Madan, Kamal Nasrollahi, Thomas B. Moeslund:
Attention-Enabled Object Detection to Improve One-Stage Tracker. IntelliSys (2) 2021: 736-754 - [c197]Stefan Hein Bengtson, Hampus Åsträm, Thomas B. Moeslund, Elin Anna Topp, Volker Krüger:
Pose Estimation from RGB Images of Highly Symmetric Objects using a Novel Multi-Pose Loss and Differential Rendering. IROS 2021: 4618-4624 - [c196]Moaaz M. J. Allahham, Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund:
Real-World Thermal Image Super-Resolution. ISVC (1) 2021: 3-14 - [c195]Michael Bidstrup, Jacob V. Dueholm, Kamal Nasrollahi, Thomas B. Moeslund:
Privacy-Aware Anomaly Detection Using Semantic Segmentation. ISVC (2) 2021: 110-123 - [c194]Rainer Lienhart, Thomas B. Moeslund, Hideo Saito:
MMSports'21: 4th International Workshop on Multimedia Content Analysis in Sports. ACM Multimedia 2021: 5692-5693 - [c193]Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund:
RELLISUR: A Real Low-Light Image Super-Resolution Dataset. NeurIPS Datasets and Benchmarks 2021 - [c192]Ivan A. Nikolov, Mark Philip Philipsen, Jinsong Liu, Jacob V. Dueholm, Anders Skaarup Johansen, Kamal Nasrollahi, Thomas B. Moeslund:
Seasons in Drift: A Long Term Thermal Imaging Dataset for Studying Concept Drift. NeurIPS Datasets and Benchmarks 2021 - [c191]Kasper Hald, Matthias Rehm, Thomas B. Moeslund:
Human-Robot Trust Assessment Using Top-Down Visual Tracking After Robot Task Execution Mistakes. RO-MAN 2021: 892-898 - [c190]Jinsong Liu, Mark P. Philipsen, Thomas B. Moeslund:
Supervised versus Self-supervised Assistant for Surveillance of Harbor Fronts. VISIGRAPP (5: VISAPP) 2021: 610-617 - [c189]Satya M. Muddamsetty, Thomas B. Moeslund:
Multi-level Quality Assessment of Retinal Fundus Images using Deep Convolution Neural Networks. VISIGRAPP (4: VISAPP) 2021: 661-668 - [c188]Chaudhary Muhammad Aqdus Ilyas, Rita Nunes, Kamal Nasrollahi, Matthias Rehm, Thomas B. Moeslund:
Deep Emotion Recognition through Upper Body Movements and Facial Expression. VISIGRAPP (5: VISAPP) 2021: 669-679 - [c187]Joakim Bruslund Haurum, Moaaz M. J. Allahham, Mathias S. Lynge, Kasper Schøn Henriksen, Ivan A. Nikolov, Thomas B. Moeslund:
Sewer Defect Classification using Synthetic Point Clouds. VISIGRAPP (5: VISAPP) 2021: 891-900 - [e12]Cristina Palmero, Júlio C. S. Jacques Júnior, Albert Clapés, Isabelle Guyon, Wei-Wei Tu, Thomas B. Moeslund, Sergio Escalera:
ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, DYAD 2021, held in conjunction with ICCV 2021, Virtual, October 16, 2021. Proceedings of Machine Learning Research 173, PMLR 2021 [contents] - [e11]Rainer Lienhart, Thomas B. Moeslund, Hideo Saito:
MMSports@MM 2021: Proceedings of the 4th International Workshop on Multimedia Content Analysis in Sports, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8670-8 [contents] - [i22]Satya M. Muddamsetty, Mohammad N. S. Jahromi, Andreea E. Ciontos, Laura M. Fenoy, Thomas B. Moeslund:
Introducing and assessing the explainable AI (XAI)method: SIDU. CoRR abs/2101.10710 (2021) - [i21]Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund:
Real-World Super-Resolution of Face-Images from Surveillance Cameras. CoRR abs/2102.03113 (2021) - [i20]Joakim Bruslund Haurum, Thomas B. Moeslund:
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark. CoRR abs/2103.10895 (2021) - [i19]Galadrielle Humblot-Renaux, Letizia Marchegiani, Thomas B. Moeslund, Rikke Gade:
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images. CoRR abs/2109.07245 (2021) - [i18]David Curto, Albert Clapés, Javier Selva, Sorina Smeureanu, Júlio C. S. Jacques Júnior, David Gallardo-Pujol, Georgina Guilera, David Leiva, Thomas B. Moeslund, Sergio Escalera, Cristina Palmero:
Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions. CoRR abs/2109.09487 (2021) - [i17]Joakim Bruslund Haurum, Meysam Madadi, Sergio Escalera, Thomas B. Moeslund:
Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder. CoRR abs/2111.07846 (2021) - [i16]Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. CoRR abs/2111.09099 (2021) - 2020
- [b3]Rasmus R. Paulsen, Thomas B. Moeslund:
Introduction to Medical Image Analysis. Undergraduate Topics in Computer Science, Springer 2020, ISBN 978-3-030-39363-2, pp. 1-167 - [j57]Thomas B. Moeslund, Sergio Escalera, Gholamreza Anbarjafari, Kamal Nasrollahi, Jun Wan:
Statistical Machine Learning for Human Behaviour Analysis. Entropy 22(5): 530 (2020) - [j56]Yeganeh Madadi, Vahid Seydi, Kamal Nasrollahi, Reshad Hosseini, Thomas B. Moeslund:
Deep visual unsupervised domain adaptation for classification tasks: a survey. IET Image Process. 14(14): 3283-3299 (2020) - [j55]Dogus Karabulut, Pavlo Tertychnyi, Hasan Sait Arslan, Cagri Ozcinar, Kamal Nasrollahi, Joan Valls, Joan Vilaseca, Thomas B. Moeslund, Gholamreza Anbarjafari:
Cycle-consistent generative adversarial neural networks based low quality fingerprint enhancement. Multim. Tools Appl. 79(25-26): 18569-18589 (2020) - [j54]Steven Puttemans, Toon Goedemé, Ajmal Mian, Thomas B. Moeslund, Rikke Gade:
Special issue on Advanced Machine Vision. Mach. Vis. Appl. 31(3): 14 (2020) - [j53]Mark P. Philipsen, Thomas B. Moeslund:
Cutting Pose Prediction from Point Clouds. Sensors 20(6): 1563 (2020) - [j52]Noor ul Huda, Bolette Dybkjær Hansen, Rikke Gade, Thomas B. Moeslund:
The Effect of a Diverse Dataset for Transfer Learning in Thermal Person Detection. Sensors 20(7): 1982 (2020) - [j51]Alireza Sepas-Moghaddam, Mohammad A. Haque, Paulo Lobato Correia, Kamal Nasrollahi, Thomas B. Moeslund, Fernando Pereira:
A Double-Deep Spatio-Angular Learning Framework for Light Field-Based Face Recognition. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4496-4512 (2020) - [j50]Aske R. Lejbølle, Kamal Nasrollahi, Benjamin Krogh, Thomas B. Moeslund:
Person Re-Identification Using Spatial and Layer-Wise Attention. IEEE Trans. Inf. Forensics Secur. 15: 1216-1231 (2020) - [c186]Kasper Schøn Henriksen, Mathias S. Lynge, Mikkel D. B. Jeppesen, Moaaz M. J. Allahham, Ivan A. Nikolov, Joakim Bruslund Haurum, Thomas B. Moeslund:
Generating Synthetic Point Clouds of Sewer Networks: An Initial Investigation. AVR (2) 2020: 364-373 - [c185]Malte Pedersen, Joakim Bruslund Haurum, Stefan Hein Bengtson, Thomas B. Moeslund:
3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset. CVPR 2020: 2423-2433 - [c184]Anthony Cioppa, Adrien Deliège, Noor ul Huda, Rikke Gade, Marc Van Droogenbroeck, Thomas B. Moeslund:
Multimodal and multiview distillation for real-time player detection on a football field. CVPR Workshops 2020: 3846-3855 - [c183]Anthony Cioppa, Adrien Deliège, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck, Rikke Gade, Thomas B. Moeslund:
A Context-Aware Loss Function for Action Spotting in Soccer Videos. CVPR 2020: 13123-13133 - [c182]Jinsong Liu, Isak Worre Foged, Thomas B. Moeslund:
Vision-based Individual Factors Acquisition for Thermal Comfort Assessment in a Built Environment. FG 2020: 662-666 - [c181]Marike K. van den Broek, Thomas B. Moeslund:
Ergonomic Adaptation of Robotic Movements in Human-Robot Collaboration. HRI (Companion) 2020: 499-501 - [c180]Bolette Dybkjær Hansen, Jamshid Tamouk, Christian A. Tidmarsh, Rasmus Johansen, Thomas B. Moeslund, David G. Jensen:
Prediction of the Methane Production in Biogas Plants Using a Combined Gompertz and Machine Learning Model. ICCSA (1) 2020: 734-745 - [c179]Aske R. Lejbølle, Benjamin Krogh, Kamal Nasrollahi, Thomas B. Moeslund:
One-To-One Person Re-Identification For Queue Time Estimation. ICIP 2020: 1706-1710 - [c178]Satya M. Muddamsetty, Mohammad N. S. Jahromi, Thomas B. Moeslund:
SIDU: Similarity Difference And Uniqueness Method for Explainable AI. ICIP 2020: 3269-3273 - [c177]Satya M. Muddamsetty, Mohammad N. S. Jahromi, Thomas B. Moeslund:
Expert Level Evaluations for Explainable AI (XAI) Methods in the Medical Domain. ICPR Workshops (3) 2020: 35-46 - [c176]Christoffer Bøgelund Rasmussen, Aske Rasch Lejbølle, Kamal Nasrollahi, Thomas B. Moeslund:
Evaluation of Edge Platforms for Deep Learning in Computer Vision. ICPR Workshops (4) 2020: 523-537 - [c175]Kasper Hald, Matthias Rehm, Thomas B. Moeslund:
Human-Robot Trust Assessment Using Motion Tracking & Galvanic Skin Response. IROS 2020: 6282-6287 - [c174]Morten B. Jensen, Andreas Møgelmose, Thomas B. Moeslund:
Presenting the Multi-view Traffic Intersection Dataset (MTID): A Detailed Traffic-Surveillance Dataset. ITSC 2020: 1-6 - [c173]Bolette Dybkjær Hansen, Søren Højmark Rasmussen, Thomas B. Moeslund, Mads Uggerby, David G. Jensen:
Sewer Deterioration Modeling: The Effect of Training a Random Forest Model on Logically Selected Data-groups. KES 2020: 291-299 - [c172]Rainer Lienhart, Thomas B. Moeslund, Hideo Saito:
MMSports'20: 3rd International Workshop on Multimedia Content Analysis in Sports. ACM Multimedia 2020: 4765-4766 - [c171]Joakim Bruslund Haurum, Anastasija Karpova, Malte Pedersen, Stefan Hein Bengtson, Thomas B. Moeslund:
Re-Identification of Zebrafish using Metric Learning. WACV Workshops 2020: 1-11 - [e10]