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ORCIDThomas B. Moeslund
Thomas Baltzer Moeslund
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- affiliation: Aalborg University, Denmark
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2020 – today
- 2024
[j79]Karen McGregor Richmond
, Satya M. Muddamsetty, Thomas Gammeltoft-Hansen, Henrik Palmer Olsen, Thomas B. Moeslund:
Explainable AI and Law: An Evidential Survey. Digit. Soc. 3(1): 1 (2024)- [j78]Mohammad N. S. Jahromi, Satya M. Muddamsetty, Asta Sofie Stage Jarlner, Anna Murphy Høgenhaug, Thomas Gammeltoft-Hansen, Thomas B. Moeslund:
SIDU-TXT: An XAI algorithm for NLP with a holistic assessment approach. Nat. Lang. Process. J. 7: 100078 (2024) - [j77]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. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 525-542 (2024) - [c237]Galadrielle Humblot-Renaux, Sergio Escalera, Thomas B. Moeslund:
A Noisy Elephant in the Room: Is Your out-of-Distribution Detector Robust to Label Noise? CVPR 2024: 22626-22636 - [c236]Magnus Kaufmann Gjerde, Kamal Nasrollahi, Thomas B. Moeslund, Joakim Bruslund Haurum:
Enhancing Direct Visual Odometry with Deblurring and Saliency Maps. ICMVA 2024: 154-161 - [c235]Rasmus Munksø, Mathias Viborg Andersen, Lau Nørgaard, Andreas Møgelmose, Thomas B. Moeslund:
Enabling RAW Image Classification Using Existing RGB Classifiers. VISIGRAPP (2): VISAPP 2024: 123-129 - [c234]Marc Oliu, Kamal Nasrollahi, Sergio Escalera, Thomas B. Moeslund:
Swin on Axes: Extending Swin Transformers to Quadtree Image Representations. WACV (Workshops) 2024: 193-201 - [c233]Mickael Cormier, Andreas Specker, Júlio C. S. Jacques Júnior, Lennart Moritz, Jürgen Metzler, Thomas B. Moeslund, Kamal Nasrollahi, Sergio Escalera, Jürgen Beyerer:
UPAR Challenge 2024: Pedestrian Attribute Recognition and Attribute-Based Person Retrieval - Dataset, Design, and Results. WACV (Workshops) 2024: 359-367 - [c232]Neelu Madan, Nicolae-Catalin Ristea, Kamal Nasrollahi, Thomas B. Moeslund, Radu Tudor Ionescu:
CL-MAE: Curriculum-Learned Masked Autoencoders. WACV 2024: 2480-2490 - [c231]Andreas Aakerberg, Majed El Helou, Kamal Nasrollahi, Thomas B. Moeslund:
PDA-RWSR: Pixel-Wise Degradation Adaptive Real-World Super-Resolution. WACV 2024: 4085-4095 - [i42]Mohammad N. S. Jahromi, Satya M. Muddamsetty, Asta Sofie Stage Jarlner, Anna Murphy Høgenhaug, Thomas Gammeltoft-Hansen, Thomas B. Moeslund:
SIDU-TXT: An XAI Algorithm for NLP with a Holistic Assessment Approach. CoRR abs/2402.03043 (2024) - [i41]Christos Kantas, Bjørk Antoniussen, Mathias V. Andersen, Rasmus Munksø, Shobhit Kotnala, Simon Buus Jensen, Andreas Møgelmose, Lau Nørgaard, Thomas B. Moeslund:
Raw Instinct: Trust Your Classifiers and Skip the Conversion. CoRR abs/2403.14439 (2024) - [i40]Galadrielle Humblot-Renaux, Sergio Escalera, Thomas B. Moeslund:
A noisy elephant in the room: Is your out-of-distribution detector robust to label noise? CoRR abs/2404.01775 (2024) - [i39]Artur Xarles, Sergio Escalera, Thomas B. Moeslund, Albert Clapés:
ASTRA: An Action Spotting TRAnsformer for Soccer Videos. CoRR abs/2404.01891 (2024) - [i38]Artur Xarles, Sergio Escalera, Thomas B. Moeslund, Albert Clapés:
T-DEED: Temporal-Discriminability Enhancer Encoder-Decoder for Precise Event Spotting in Sports Videos. CoRR abs/2404.05392 (2024) - [i37]Lasse H. Hansen, Simon Buus Jensen, Mark P. Philipsen, Andreas Møgelmose, Lars Bodum, Thomas B. Moeslund:
OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground Utilities. CoRR abs/2404.07711 (2024) - [i36]Romain Egele, Júlio C. S. Jacques Júnior, Jan N. van Rijn, Isabelle Guyon, Xavier Baró, Albert Clapés, Prasanna Balaprakash, Sergio Escalera, Thomas B. Moeslund, Jun Wan:
AI Competitions and Benchmarks: Dataset Development. CoRR abs/2404.09703 (2024) - [i35]Neelu Madan, Andreas Møgelmose, Rajat Modi, Yogesh S. Rawat, Thomas B. Moeslund:
Foundation Models for Video Understanding: A Survey. CoRR abs/2405.03770 (2024) - [i34]Scott C. Lowe, Joakim Bruslund Haurum, Sageev Oore, Thomas B. Moeslund, Graham W. Taylor:
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders. CoRR abs/2406.02465 (2024) - [i33]Mia Sandra Nicole Siemon, Thomas B. Moeslund, Barry Norton, Kamal Nasrollahi:
Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified. CoRR abs/2407.06000 (2024) - 2023
- [j76]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) - [j75]Javier Selva, Anders Skaarup Johansen, Sergio Escalera, Kamal Nasrollahi, Thomas B. Moeslund, Albert Clapés:
Video Transformers: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12922-12943 (2023) - [c230]Galadrielle Humblot-Renaux, Sergio Escalera, Thomas B. Moeslund:
Beyond AUROC & co. for evaluating out-of-distribution detection performance. CVPR Workshops 2023: 3881-3890 - [c229]Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund:
Which Tokens to Use? Investigating Token Reduction in Vision Transformers. ICCV (Workshops) 2023: 773-783 - [c228]Hideo Saito, Thomas B. Moeslund, Rainer Lienhart:
MMSports '23: 6th International Workshop on Multimedia Content Analysis in Sports. ACM Multimedia 2023: 9710-9712 - [c227]Artur Xarles, Sergio Escalera, Thomas B. Moeslund, Albert Clapés:
ASTRA: An Action Spotting TRAnsformer for Soccer Videos. MMSports@MM 2023: 93-102 - [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 - [e14]Rainer Lienhart, Thomas B. Moeslund, Hideo Saito:
Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, MMSports 2023, Ottawa ON, Canada, 29 October 2023. ACM 2023 [contents] - [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 Anna 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 Buus 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 Buus 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 Åström, 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
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