Jorma Laaksonen

256 papers A* 15A 7B 22C 13Misc 4Journal 81Unranked 110
YearRankTypeTitle / Venue / Authors
2026 J jnl
Imagine How To Change: Explicit Procedure Modeling for Change Captioning.
CoRR
Jiayang Sun, Zixin Guo, Min Cao, Guibo Zhu, Jorma Laaksonen
2025 J jnl
A Dual-Domain Convolutional Network for Hyperspectral Single-Image Super-Resolution.
CoRR
Murat Karayaka, Usman Muhammad, Jorma Laaksonen, Md. Ziaul Hoque, Tapio Seppänen
2025 — conf
A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution.
DSP
Muhammad Usman, Jorma Laaksonen
2025 J jnl
A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution.
CoRR
Usman Muhammad, Jorma Laaksonen
2025 J jnl
ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark.
CoRR
Sara Ghaboura, Ketan More, Wafa Al Ghallabi, Omkar Thawakar, Jorma Laaksonen, Hisham Cholakkal, Salman H. Khan, Rao Muhammad Anwer
2025 A* conf
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages.
CVPR
Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana, Noor Ahsan, Nevasini Sasikumar, Omkar Thawakar, Henok Biadglign Ademtew, Yahya Hmaiti, Amandeep Kumar, Kartik Kuckreja, Mykola Maslych, Wafa Al Ghallabi, Mihail Minkov Mihaylov, Chao Qin, Abdelrahman M. Shaker, Mike Zhang, Mahardika Krisna Ihsani, Amiel Gian Esplana, Monil Gokani, Shachar Mirkin, Harsh Singh, Ashay Srivastava, Endre Hamerlik, Fathinah Asma Izzati, Fadillah Adamsyah Maani, Sebastian Cavada, Jenny Chim, Rohit Gupta, Sanjay Manjunath, Kamila Zhumakhanova, Feno Heriniaina Rabevohitra, Azril Hafizi Amirudin, Muhammad Ridzuan, Daniya Najiha Abdul Kareem, Ketan Pravin More, Kunyang Li, Pramesh Shakya, Muhammad Saad, Amirpouya Ghasemaghaei, Amirbek Djanibekov, Dilshod Azizov, Branislava Jankovic, Naman Bhatia, Alvaro Cabrera, Johan S. Obando-Ceron, Olympiah Otieno, Fabian Farestam, Muztoba Rabbani, Sanoojan Baliah, Santosh Sanjeev, Abduragim Shtanchaev, Maheen Fatima, Thao Nguyen, Amrin Kareem, Toluwani Aremu, Nathan Augusto Zacarias Xavier, Amit Bhatkal, Hawau Olamide Toyin, Aman Chadha, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Jorma Laaksonen, Thamar Solorio, Monojit Choudhury, Ivan Laptev, Mubarak Shah, Salman H. Khan, Fahad Shahbaz Khan
2025 — conf
CAMEL-Bench: A Comprehensive Arabic LMM Benchmark.
NAACL (Findings)
Sara Ghaboura, Ahmed Heakl, Omkar Thawakar, Ali Husain Salem Abdulla Alharthi, Ines Riahi, Abduljalil Radman, Jorma Laaksonen, Fahad Shahbaz Khan, Salman Khan, Rao Muhammad Anwer
2025 — conf
DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution.
EUSIPCO
Usman Muhammad, Jorma Laaksonen
2025 J jnl
DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution.
CoRR
Usman Muhammad, Jorma Laaksonen
2025 J jnl
Efficient text-to-video retrieval via multi-modal multi-tagger derived pre-screening.
Vis. Intell.
Yingjia Xu, Mengxia Wu, Zixin Guo, Min Cao, Mang Ye, Jorma Laaksonen
2025 J jnl
Hybrid Deep Learning for Hyperspectral Single Image Super-Resolution.
CoRR
Usman Muhammad, Jorma Laaksonen
2025 J jnl
Hybrid Deep Learning for Hyperspectral Single-Image Super-Resolution.
IEEE Geosci. Remote. Sens. Lett.
Usman Muhammad, Jorma Laaksonen
2025 — conf
Learning to Describe Implicit Changes: Noise-robust Pre-training for Image Difference Captioning.
EMNLP (Findings)
Zixin Guo, Jiayang Sun, Tzu-Jui Julius Wang, Abduljalil Radman, Selen Pehlivan, Min Cao, Jorma Laaksonen
2025 A* conf
MIRA: A Novel Framework for Fusing Modalities in Medical RAG.
ACM Multimedia
Jinhong Wang, Tajamul Ashraf, Zongyan Han, Jorma Laaksonen, Rao Muhammad Anwer
2025 J jnl
MIRA: A Novel Framework for Fusing Modalities in Medical RAG.
CoRR
Jinhong Wang, Tajamul Ashraf, Zongyan Han, Jorma Laaksonen, Rao Muhammad Anwer
2025 J jnl
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning.
CoRR
Zongyan Han, Jiale Cao, Shuo Chen, Tong Wang, Jorma Laaksonen, Rao Muhammad Anwer
2025 J jnl
Prompt-based Weakly-supervised Vision-language Pre-training.
Pattern Recognit. Lett.
Zixin Guo, Tzu-Jui Julius Wang, Selen Pehlivan, Abduljalil Radman, Min Cao, Jorma Laaksonen
2025 A* conf
TSAM: Temporal SAM Augmented with Multimodal Prompts for Referring Audio-Visual Segmentation.
CVPR
Abduljalil Radman, Jorma Laaksonen
2025 J jnl
TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation.
CoRR
Muhammad Sohail Danish, Muhammad Akhtar Munir, Syed Roshaan Ali Shah, Muhammad Haris Khan, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Shahbaz Khan, Salman H. Khan
2025 — conf
Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network.
SSP
Usman Muhammad, Jorma Laaksonen, Lyudmila Mihaylova
2025 J jnl
Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network.
CoRR
Usman Muhammad, Jorma Laaksonen, Lyudmila Mihaylova
2025 A* conf
Valor32k-AVQA v2.0: Open-Ended Audio-Visual Question Answering Dataset and Benchmark.
ACM Multimedia
Ines Riahi, Abduljalil Radman, Zixin Guo, Rachid Hedjam, Jorma Laaksonen
2025 J jnl
Video Instance Segmentation in an Open-World.
Int. J. Comput. Vis.
Omkar Thawakar, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan
2024 C conf
A Comparison of Hyperspectral Super-Resolution Techniques for Boreal Forest Imagery.
IGARSS
Yuvrajsinh Chudasama, Usman Muhammad, Ville Mayra, Florent Guiotte, Jorma Laaksonen
2024 J jnl
AS-Net: active speaker detection using deep audio-visual attention.
Multim. Tools Appl.
Abduljalil Radman, Jorma Laaksonen
2024 — conf
AV-PEA: Parameter-Efficient Adapter for Audio-Visual Multimodal Learning.
VISIGRAPP (2): VISAPP
Abduljalil Radman, Jorma Laaksonen
2024 J jnl
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages.
CoRR
Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana, Noor Ahsan, Nevasini Sasikumar, Omkar Thawakar, Henok Biadglign Ademtew, Yahya Hmaiti, Amandeep Kumar, Kartik Kuckreja, Mykola Maslych, Wafa Al Ghallabi, Mihail Mihaylov, Chao Qin, Abdelrahman M. Shaker, Mike Zhang, Mahardika Krisna Ihsani, Amiel Esplana, Monil Gokani, Shachar Mirkin, Harsh Singh, Ashay Srivastava, Endre Hamerlik, Fathinah Asma Izzati, Fadillah Adamsyah Maani, Sebastian Cavada, Jenny Chim, Rohit Gupta, Sanjay Manjunath, Kamila Zhumakhanova, Feno Heriniaina Rabevohitra, Azril Amirudin, Muhammad Ridzuan, Daniya Kareem, Ketan More, Kunyang Li, Pramesh Shakya, Muhammad Saad, Amirpouya Ghasemaghaei, Amirbek Djanibekov, Dilshod Azizov, Branislava Jankovic, Naman Bhatia, Alvaro Cabrera, Johan S. Obando-Ceron, Olympiah Otieno, Fabian Farestam, Muztoba Rabbani, Sanoojan Baliah, Santosh Sanjeev, Abduragim Shtanchaev, Maheen Fatima, Thao Nguyen, Amrin Kareem, Toluwani Aremu, Nathan A. Z. Xavier, Amit Bhatkal, Hawau Olamide Toyin, Aman Chadha, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Jorma Laaksonen, Thamar Solorio, Monojit Choudhury, Ivan Laptev, Mubarak Shah, Salman Khan, Fahad Khan
2024 J jnl
Bilateral Reference for High-Resolution Dichotomous Image Segmentation.
CoRR
Peng Zheng, Dehong Gao, Deng-Ping Fan, Li Liu, Jorma Laaksonen, Wanli Ouyang, Nicu Sebe
2024 J jnl
CAMEL-Bench: A Comprehensive Arabic LMM Benchmark.
CoRR
Sara Ghaboura, Ahmed Heakl, Omkar Thawakar, Ali Husain Salem Abdulla Alharthi, Ines Riahi, Abduljalil Saif, Jorma Laaksonen, Fahad Shahbaz Khan, Salman H. Khan, Rao Muhammad Anwer
2024 — conf
Diffusion-Based Multimodal Video Captioning.
ACCV (3)
Jaakko Kainulainen, Zixin Guo, Jorma Laaksonen
2024 J jnl
Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection.
Int. J. Comput. Vis.
Usman Muhammad, Jorma Laaksonen, Djamila Romaissa Beddiar, Mourad Oussalah
2024 C conf
Mesh Surface And Morphological Hierarchies For Individual Tree Detection And Segmentation From LiDAR Data.
IGARSS
Florent Guiotte, Joel Kostensalo, Jorma Laaksonen
2024 J jnl
Saliency-based video summarization for face anti-spoofing.
Pattern Recognit. Lett.
Usman Muhammad, Mourad Oussalah, Jorma Laaksonen
2024 — conf
Size-Modulated Deformable Attention in Spatio-Temporal Video Grounding Pipelines.
ICPR (18)
Hans Tiwari, Selen Pehlivan, Jorma Laaksonen
2024 J jnl
Temporal teacher with masked transformers for semi-supervised action proposal generation.
Mach. Vis. Appl.
Selen Pehlivan, Jorma Laaksonen
2024 — conf
Text-to-Multimodal Retrieval with Bimodal Input Fusion in Shared Cross-Modal Transformer.
LREC/COLING
Pranav Arora, Selen Pehlivan, Jorma Laaksonen
2024 — conf
XrayGPT: Chest Radiographs Summarization using Large Medical Vision-Language Models.
BioNLP@ACL
Omkar Thawakar, Abdelrahman M. Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Fahad Khan
2023 — conf
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers.
MICCAI (8)
Omkar Thawakar, Rao Muhammad Anwer, Jorma Laaksonen, Orly Reiner, Mubarak Shah, Fahad Shahbaz Khan
2023 J jnl
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers.
CoRR
Omkar Thawakar, Rao Muhammad Anwer, Jorma Laaksonen, Orly Reiner, Mubarak Shah, Fahad Shahbaz Khan
2023 A conf
Anchor-Free Action Proposal Network with Uncertainty Estimation.
ICME
Selen Pehlivan, Jorma Laaksonen
2023 — conf
Cross-Modulated Few-Shot Image Generation for Colorectal Tissue Classification.
MICCAI (3)
Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Shahbaz Khan
2023 J jnl
Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification.
CoRR
Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Shahbaz Khan
2023 — conf
Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing.
IPTA
Usman Muhammad, Md. Ziaul Hoque, Mourad Oussalah, Jorma Laaksonen
2023 J jnl
Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing.
CoRR
Usman Muhammad, Md. Ziaul Hoque, Mourad Oussalah, Jorma Laaksonen
2023 J jnl
Improved action proposals using fine-grained proposal features with recurrent attention models.
J. Vis. Commun. Image Represent.
Selen Pehlivan, Jorma Laaksonen
2023 A conf
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision.
WACV
Tzu-Jui Julius Wang, Jorma Laaksonen, Tomas Langer, Heikki Arponen, Tom E. Bishop
2023 A* conf
Person Image Synthesis via Denoising Diffusion Model.
CVPR
Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan
2023 A* conf
PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting.
SIGIR
Zixin Guo, Tzu-Jui Julius Wang, Selen Pehlivan, Abduljalil Radman, Jorma Laaksonen
2023 J jnl
PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting.
CoRR
Zixin Guo, Tzu-Jui Julius Wang, Selen Pehlivan, Abduljalil Radman, Jorma Laaksonen
2023 J jnl
Saliency-based Video Summarization for Face Anti-spoofing.
CoRR
Usman Muhammad, Mourad Oussalah, Md. Ziaul Hoque, Jorma Laaksonen
2023 J jnl
Semi-Supervised learning for Face Anti-Spoofing using Apex frame.
CoRR
Usman Muhammad, Mourad Oussalah, Jorma Laaksonen
2023 J jnl
Video Instance Segmentation in an Open-World.
CoRR
Omkar Thawakar, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan
2023 J jnl
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.
CoRR
Omkar Thawakar, Abdelrahman M. Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Fahad Shahbaz Khan
2022 — conf
CLIP4IDC: CLIP for Image Difference Captioning.
AACL/IJCNLP (2)
Zixin Guo, Tzu-Jui Julius Wang, Jorma Laaksonen
2022 J jnl
CLIP4IDC: CLIP for Image Difference Captioning.
CoRR
Zixin Guo, Tzu-Jui Julius Wang, Jorma Laaksonen
2022 — conf
DoodleFormer: Creative Sketch Drawing with Transformers.
ECCV (17)
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg
2022 A* conf
Learning a Dynamic Cross-Modal Network for Multispectral Pedestrian Detection.
ACM Multimedia
Jin Xie, Rao Muhammad Anwer, Hisham Cholakkal, Jing Nie, Jiale Cao, Jorma Laaksonen, Fahad Shahbaz Khan
2022 J jnl
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision.
CoRR
Tzu-Jui Julius Wang, Jorma Laaksonen, Tomas Langer, Heikki Arponen, Tom E. Bishop
2022 J jnl
Person Image Synthesis via Denoising Diffusion Model.
CoRR
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan
2022 B conf
Post-Attention Modulator for Dense Video Captioning.
ICPR
Zixin Guo, Tzu-Jui Julius Wang, Jorma Laaksonen
2022 J jnl
TAIGA: A Novel Dataset for Multitask Learning of Continuous and Categorical Forest Variables From Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens.
Matti Mottus, Phu Pham, Eelis Halme, Matthieu Molinier, Hai Cu, Jorma Laaksonen
2022 — conf
Tracing Signs of Urbanity in the Finnish Fiction Film of the 1950s: Toward a Multimodal Analysis of Audiovisual Data.
DHNB
Tamás Grósz, Noora Kallioniemi, Harri Kiiskinen, Kimmo Laine, Anssi Moisio, Tommi Römpötti, Anja Virkkunen, Hannu Salmi, Mikko Kurimo, Jorma Laaksonen
2022 J jnl
Understanding videos with face recognition: a complete pipeline and applications.
Multim. Syst.
Pasquale Lisena, Jorma Laaksonen, Raphaël Troncy
2022 B conf
When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and Its Intensity.
COLING
Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann, Jorma Laaksonen, Mikko Kurimo
2022 J jnl
When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and its Intensity.
CoRR
Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann, Jorma Laaksonen, Mikko Kurimo
2021 J jnl
Compact Deep Color Features for Remote Sensing Scene Classification.
Neural Process. Lett.
Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen
2021 J jnl
DoodleFormer: Creative Sketch Drawing with Transformers.
CoRR
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg
2021 — conf
Exploring Multimodality, Perplexity and Explainability for Memorability Prediction.
MediaEval
Alison Reboud, Ismail Harrando, Jorma Laaksonen, Raphaël Troncy
2021 C conf
Patch Size Selection for Analysis of Sub-Meter Resolution Hyperspectral Imagery of Forests.
IGARSS
Matti Mottus, Matthieu Molinier, Eelis Halme, Hai Cu, Jorma Laaksonen
2021 — conf
When Worlds Collide: AI-Created, Human-Mediated Video Description Services and the User Experience.
HCI (42)
Sabine Braun, Kim Starr, Jaleh Delfani, Liisa Tiittula, Jorma Laaksonen, Karel Braeckman, Dieter Van Rijsselbergen, Sasha Lagrillière, Lauri Saarikoski
2020 — ed.
AI4TV '20: Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery, Seattle, WA, USA, October 2, 2020
AI4TV@MM
Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris, Mohammad Hosseini
2020 A* conf
AI4TV 2020: 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery.
ACM Multimedia
Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris, Mohammad Hosseini
2020 J jnl
Film Mood and Its Quantitative Determinants in Different Types of Scenes.
IEEE Trans. Affect. Comput.
Jussi Tarvainen, Jorma Laaksonen, Tapio Takala
2020 J jnl
Multi-Hazard and Spatial Transferability of a CNN for Automated Building Damage Assessment.
Remote. Sens.
Tinka Valentijn, Jacopo Margutti, Marc van den Homberg, Jorma Laaksonen
2020 — conf
PicSOM Experiments in TRECVID 2020.
TRECVID
Jorma Laaksonen, Zixin Guo
2020 — conf
Predicting Media Memorability with Audio, Video, and Text representations.
MediaEval
Alison Reboud, Ismail Harrando, Jorma Laaksonen, Raphaël Troncy
2020 A conf
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models.
BMVC
Tzu-Jui Julius Wang, Selen Pehlivan, Jorma Laaksonen
2020 J jnl
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models.
CoRR
Tzu-Jui Julius Wang, Selen Pehlivan, Jorma Laaksonen
2020 — conf
Using Fan-Made Content, Subtitles and Face Recognition for Character-Centric Video Summarization.
TRECVID
Ismail Harrando, Alison Reboud, Pasquale Lisena, Raphaël Troncy, Jorma Laaksonen, Anja Virkkunen, Mikko Kurimo
2019 B conf
A Multi-Task Bayesian Deep Neural Net for Detecting Life-Threatening Infant Incidents From Head Images.
ICIP
Tzu-Jui Julius Wang, Jorma Laaksonen, Yi-Ping Liao, Bo-Zong Wu, Shih-Yun Shen
2019 A* conf
AI4TV 2019: 1st International Workshop on AI for Smart TV Content Production, Access and Delivery.
ACM Multimedia
Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris
2019 J jnl
Character-Centric Storytelling.
CoRR
Aditya Surikuchi, Jorma Laaksonen
2019 — conf
Combining Textual and Visual Modeling for Predicting Media Memorability.
MediaEval
Alison Reboud, Ismail Harrando, Jorma Laaksonen, Danny Francis, Raphaël Troncy, Héctor Laria Mantecón
2019 A* conf
Deep Contextual Attention for Human-Object Interaction Detection.
ICCV
Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen
2019 J jnl
Deep Contextual Attention for Human-Object Interaction Detection.
CoRR
Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen
2019 — conf
Multi-stream Convolutional Networks for Indoor Scene Recognition.
CAIP (1)
Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Nazar Zaki
2019 — conf
PicSOM and EURECOM Experiments in TRECVID 2019.
TRECVID
Héctor Laria Mantecón, Jorma Laaksonen, Danny Francis, Benoit Huet
2019 — ed.
Proceedings of the 1st International Workshop on AI for Smart TV Content Production, Access and Delivery, AI4TV@MM 2019, Nice, France, October 21, 2019.
AI4TV@MM
Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris
2018 J jnl
Image and Video Captioning with Augmented Neural Architectures.
IEEE Multim.
Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen
2018 — conf
PicSOM Experiments in TRECVID 2018.
TRECVID
Mats Sjöberg, Hamed R. Tavakoli, Zhicun Xu, Héctor Laria Mantecón, Jorma Laaksonen
2018 J jnl
Scale coding bag of deep features for human attribute and action recognition.
Mach. Vis. Appl.
Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen
2018 — conf
The MeMAD Submission to the WMT18 Multimodal Translation Task.
WMT (shared task)
Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Mérialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphaël Troncy, Raúl Vázquez
2018 J jnl
The MeMAD Submission to the WMT18 Multimodal Translation Task.
CoRR
Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Mérialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphaël Troncy, Raúl Vázquez
2018 — conf
Two-Stream Part-Based Deep Representation for Human Attribute Recognition.
ICB
Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen
2017 J jnl
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification.
CoRR
Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Matthieu Molinier, Jorma Laaksonen
2017 J jnl
Can Saliency Information Benefit Image Captioning Models?
CoRR
Hamed Rezazadegan Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen
2017 C conf
Computational and Perceptual Determinants of Film Mood in Different Types of Scenes.
ISM
Jussi Tarvainen, Jorma Laaksonen, Tapio Takala
2017 J jnl
Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features.
Neurocomputing
Hamed Rezazadegan Tavakoli, Ali Borji, Jorma Laaksonen, Esa Rahtu
2017 — conf
Fixation Prediction in Videos Using Unsupervised Hierarchical Features.
CVPR Workshops
Julius Wang, Hamed R. Tavakoli, Jorma Laaksonen
2017 B conf
Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map.
IJCNN
Satoru Ishikawa, Jorma Laaksonen, Juha Karhunen
2017 J jnl
Investigating Natural Image Pleasantness Recognition using Deep Features and Eye Tracking for Loosely Controlled Human-computer Interaction.
CoRR
Hamed Rezazadegan Tavakoli, Jorma Laaksonen, Esa Rahtu
2017 A* conf
Paying Attention to Descriptions Generated by Image Captioning Models.
ICCV
Hamed R. Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen
2017 J jnl
Prominent Object Detection and Recognition: A Saliency-based Pipeline.
CoRR
Hamed Rezazadegan Tavakoli, Jorma Laaksonen
2017 A* conf
Saliency Revisited: Analysis of Mouse Movements Versus Fixations.
CVPR
Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen
2017 J jnl
Saliency Revisited: Analysis of Mouse Movements versus Fixations.
CoRR
Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen
2017 B conf
TEX-Nets: Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition.
ICMR
Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen
2017 — conf
Top-Down Deep Appearance Attention for Action Recognition.
SCIA (1)
Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen
2017 J jnl
Uni- and multimodal methods for single- and multi-label recognition.
Multim. Tools Appl.
Satoru Ishikawa, Jorma Laaksonen
2017 C conf
VisualLabel: An Integrated Multimedia Content Management and Access Framework.
EJC
Iftikhar Ahmad, Petri Rantanen, Pekka Sillberg, Jorma Laaksonen, Shuhua Liu, Thomas Forss, Aqdas Malik, Marko Nieminen, Rakshith Shetty, Satoru Ishikawa, Jarno Kallio, Jukka P. Saarinen, Moncef Gabbouj, Jari Soini
2016 — conf
Bottom-Up Fixation Prediction Using Unsupervised Hierarchical Models.
ACCV Workshops (1)
Hamed Rezazadegan Tavakoli, Jorma Laaksonen
2016 B conf
Combining Holistic and Part-based Deep Representations for Computational Painting Categorization.
ICMR
Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen
2016 C conf
Comparing and combining unimodal methods for multimodal recognition.
CBMI
Satoru Ishikawa, Jorma Laaksonen
2016 — conf
Exploiting Scene Context for Image Captioning.
iV&L-MM@MM
Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen
2016 J jnl
Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features.
CoRR
Hamed Rezazadegan Tavakoli, Ali Borji, Jorma Laaksonen, Esa Rahtu
2016 A* conf
Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation.
ACM Multimedia
Rakshith Shetty, Jorma Laaksonen
2016 J jnl
Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation.
CoRR
Rakshith Shetty, Jorma Laaksonen
2016 — conf
On the Contribution of Saliency in Visual Tracking.
VISIGRAPP (4: VISAPP)
Iman Alikhani, Hamed Rezazadegan Tavakoli, Esa Rahtu, Jorma Laaksonen
2016 — conf
Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations.
ISVC (2)
Hamed Rezazadegan Tavakoli, Hanieh Poostchi, Jaakko Peltonen, Jorma Laaksonen, Samuel Kaski
2016 J jnl
Scale Coding Bag of Deep Features for Human Attribute and Action Recognition.
CoRR
Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen
2016 — conf
Towards gaze-based video annotation.
IPTA
Mohamed Soliman, Hamed Rezazadegan Tavakoli, Jorma Laaksonen
2015 J jnl
Compact color-texture description for texture classification.
Pattern Recognit. Lett.
Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen
2015 — conf
Deep Semantic Pyramids for Human Attributes and Action Recognition.
SCIA
Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen
2015 — conf
PicSOM Experiments in TRECVID 2015.
TRECVID
Satoru Ishikawa, Rao Muhammad Anwer, Markus Koskela, Jorma Laaksonen
2015 — conf
Towards Reliable Automatic Multimodal Content Analysis.
VL@EMNLP
Olli Philippe Lautenbacher, Liisa Tiittula, Maija Hirvonen, Jorma Laaksonen, Mikko Kurimo
2015 J jnl
Video captioning with recurrent networks based on frame- and video-level features and visual content classification.
CoRR
Rakshith Shetty, Jorma Laaksonen
2014 — conf
2D Appearance Based Techniques for Tracking the Signer Configuration in Sign Language Video Recordings.
ICIAR (2)
Ville Viitaniemi, Matti Karppa, Jorma Laaksonen
2014 J jnl
Content-Based Prediction of Movie Style, Aesthetics, and Affect: Data Set and Baseline Experiments.
IEEE Trans. Multim.
Jussi Tarvainen, Mats Sjöberg, Stina Westman, Jorma Laaksonen, Pirkko Oittinen
2014 A* conf
Convolutional Network Features for Scene Recognition.
ACM Multimedia
Markus Koskela, Jorma Laaksonen
2014 B conf
Experiments on Recognising the Handshape in Blobs Extracted from Sign Language Videos.
ICPR
Ville Viitaniemi, Matti Karppa, Jorma Laaksonen
2014 — conf
PicSOM Experiments in TRECVID 2014.
TRECVID
Satoru Ishikawa, Markus Koskela, Mats Sjöberg, Rao Muhammad Anwer, Jorma Laaksonen, Erkki Oja
2014 J jnl
PinView: Implicit Feedback in Content-Based Image Retrieval.
CoRR
Zakria Hussain, Arto Klami, Jussi Kujala, Alex Po Leung, Kitsuchart Pasupa, Peter Auer, Samuel Kaski, Jorma Laaksonen, John Shawe-Taylor
2014 B conf
S-pot - a benchmark in spotting signs within continuous signing.
LREC
Ville Viitaniemi, Tommi Jantunen, Leena Savolainen, Matti Karppa, Jorma Laaksonen
2014 B conf
SLMotion - An extensible sign language oriented video analysis tool.
LREC
Matti Karppa, Ville Viitaniemi, Marcos Luzardo, Jorma Laaksonen, Tommi Jantunen
2014 Misc conf
Unsupervised feature extraction for multimedia event detection and ranking using audio content.
ICASSP
Ehsan Amid, Annamaria Mesaros, Kalle J. Palomäki, Jorma Laaksonen, Mikko Kurimo
2014 C conf
Using semantic features to improve large-scale visual concept detection.
CBMI
Mats Sjöberg, Jorma Laaksonen
2013 B conf
Adaptive timeline interface to personal history data.
ICMI
Antti Ajanki, Markus Koskela, Jorma Laaksonen, Samuel Kaski
2013 — conf
Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning.
ICONIP (3)
He Zhang, Zhirong Yang, Mehmet Gönen, Markus Koskela, Jorma Laaksonen, Timo Honkela, Erkki Oja
2013 — conf
Detecting Hand-Head Occlusions in Sign Language Video.
SCIA
Ville Viitaniemi, Matti Karppa, Jorma Laaksonen, Tommi Jantunen
2013 — conf
Head Pose Estimation for Sign Language Video.
SCIA
Marcos Luzardo, Matti Karppa, Jorma Laaksonen, Tommi Jantunen
2013 B conf
Large-scale visual concept detection with explicit kernel maps and power mean SVM.
ICMR
Mats Sjöberg, Markus Koskela, Satoru Ishikawa, Jorma Laaksonen
2013 — conf
PicSOM Experiments in TRECVID 2013.
TRECVID
Satoru Ishikawa, Markus Koskela, Mats Sjöberg, Jorma Laaksonen, Erkki Oja, Ehsan Amid, Kalle J. Palomäki, Annamaria Mesaros, Mikko Kurimo
2012 B conf
Comparing computer vision analysis of signed language video with motion capture recordings.
LREC
Matti Karppa, Tommi Jantunen, Ville Viitaniemi, Jorma Laaksonen, Birgitta Burger, Danny De Weerdt
2012 — conf
PicSOM Experiments in TRECVID 2012.
TRECVID
Mats Sjöberg, Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, Erkki Oja
2012 B conf
Real-time large-scale visual concept detection with linear classifiers.
ICPR
Mats Sjöberg, Markus Koskela, Satoru Ishikawa, Jorma Laaksonen
2011 — conf
A Multimodal Information Collector for Content-Based Image Retrieval System.
ICONIP (3)
He Zhang, Mats Sjöberg, Jorma Laaksonen, Erkki Oja
2011 — ed.
Advances in Self-Organizing Maps - 8th International Workshop, WSOM 2011, Espoo, Finland, June 13-15, 2011. Proceedings
WSOM
Jorma Laaksonen, Timo Honkela
2011 J jnl
An augmented reality interface to contextual information.
Virtual Real.
Antti Ajanki, Mark Billinghurst, Hannes Gamper, Toni Järvenpää, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, Teemu Ruokolainen, Timo Tossavainen
2011 — conf
Analysing the Structure of Semantic Concepts in Visual Databases.
WSOM
Mats Sjöberg, Jorma Laaksonen
2011 B conf
Analyzing Emotional Semantics of Abstract Art Using Low-Level Image Features.
IDA
He Zhang, Eimontas Augilius, Timo Honkela, Jorma Laaksonen, Hannes Gamper, Henok Alene
2011 — conf
Gaze- and Speech-Enhanced Content-Based Image Retrieval in Image Tagging.
ICANN (2)
He Zhang, Teemu Ruokolainen, Jorma Laaksonen, Christina Hochleitner, Rudolf Traunmüller
2011 — conf
Media Map: A Multilingual Document Map with a Design Interface.
WSOM
Timo Honkela, Jorma Laaksonen, Hannele Törrö, Juhani Tenhunen
2011 — conf
PicSOM Experiments in TRECVID 2011.
TRECVID
Mats Sjöberg, Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, Erkki Oja
2010 — conf
PicSOM Experiments in ImageCLEF RobotVision.
ICPR Contests
Mats Sjöberg, Markus Koskela, Ville Viitaniemi, Jorma Laaksonen
2010 — conf
PicSOM Experiments in TRECVID 2010.
TRECVID
Mats Sjöberg, Markus Koskela, Milen Chechev, Jorma Laaksonen
2010 — conf
Pinview: Implicit Feedback in Content-Based Image Retrieval.
WAPA
Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Po Leung, Kitsuchart Pasupa, John Shawe-Taylor
2010 — conf
Region Matching Techniques for Spatial Bag of Visual Words Based Image Category Recognition.
ICANN (1)
Ville Viitaniemi, Jorma Laaksonen
2009 — conf
Combining Local Feature Histograms of Different Granularities.
SCIA
Ville Viitaniemi, Jorma Laaksonen
2009 — conf
Image Theft Detection with Self-Organising Maps.
ICANN (1)
Philip Prentis, Mats Sjöberg, Markus Koskela, Jorma Laaksonen
2009 — conf
Improving Automatic Video Retrieval with Semantic Concept Detection.
SCIA
Markus Koskela, Mats Sjöberg, Jorma Laaksonen
2009 — conf
Informative Laplacian Projection.
SCIA
Zhirong Yang, Jorma Laaksonen
2009 — conf
Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood.
WSOM
Mats Sjöberg, Jorma Laaksonen
2009 — conf
PicSOM Experiments in TRECVID 2009.
TRECVID
Mats Sjöberg, Ville Viitaniemi, Markus Koskela, Jorma Laaksonen
2009 — conf
Representing Images with
ICANN (2)
Ville Viitaniemi, Jorma Laaksonen
2009 — conf
Spatial extensions to bag of visual words.
CIVR
Ville Viitaniemi, Jorma Laaksonen
2009 — conf
The Effect of Motion Blur and Signal Noise on Image Quality in Low Light Imaging.
SCIA
Eero Kurimo, Leena Lepistö, Jarno Nikkanen, Juuso Grén, Iivari Kunttu, Jorma Laaksonen
2008 — conf
Classification of Fundus Images for Diagnosing Glaucoma by Self-Organizing Map and Learning Vector Quantization.
ICONIP (2)
Nobuo Matsuda, Jorma Laaksonen, Fumiaki Tajima, Hideaki Sato
2008 — conf
Experiments on Selection of Codebooks for Local Image Feature Histograms.
VISUAL
Ville Viitaniemi, Jorma Laaksonen
2008 — conf
Exploiting Temporal and Inter-concept Co-occurrence Structure to Detect High-Level Features in Broadcast Videos.
WIAMIS
Ville Viitaniemi, Mats Sjöberg, Markus Koskela, Jorma Laaksonen
2008 — conf
Image Classification by Histogram Features Created with Learning Vector Quantization.
ICANN (1)
Marcin Blachnik, Jorma Laaksonen
2008 J jnl
Inferring semantics from textual information in multimedia retrieval.
Neurocomputing
Mats Sjöberg, Jorma Laaksonen, Timo Honkela, Matti Pöllä
2008 — conf
PicSOM Experiments in TRECVID 2008.
TRECVID
Markus Koskela, Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen
2008 J jnl
Principal whitened gradient for information geometry.
Neural Networks
Zhirong Yang, Jorma Laaksonen
2008 — conf
Techniques for Image Classification, Object Detection and Object Segmentation.
VISUAL
Ville Viitaniemi, Jorma Laaksonen
2007 J jnl
Adaptive combination of adaptive classifiers for handwritten character recognition.
Pattern Recognit. Lett.
Matti Aksela, Jorma Laaksonen
2007 B conf
Approximated Geodesic Updates with Principal Natural Gradients.
IJCNN
Zhirong Yang, Jorma Laaksonen
2007 J jnl
Detecting Man-Made Structures and Changes in Satellite Imagery With a Content-Based Information Retrieval System Built on Self-Organizing Maps.
IEEE Trans. Geosci. Remote. Sens.
Matthieu Molinier, Jorma Laaksonen, Tuomas Häme
2007 C conf
Detecting changes in polarimetric SAR data with content-based image retrieval.
IGARSS
Matthieu Molinier, Jorma Laaksonen, Yrjö Rauste, Tuomas Häme
2007 — conf
Empirical Investigations on Benchmark Tasks for Automatic Image Annotation.
VISUAL
Ville Viitaniemi, Jorma Laaksonen
2007 C conf
Evaluating Performance of Automatic Image Annotation: Example Case by Fusing Global Image Features.
CBMI
Ville Viitaniemi, Jorma Laaksonen
2007 J jnl
Evaluating the performance in automatic image annotation: Example case by adaptive fusion of global image features.
Signal Process. Image Commun.
Ville Viitaniemi, Jorma Laaksonen
2007 — conf
Face Recognition Using Parzenfaces.
ICANN (2)
Zhirong Yang, Jorma Laaksonen
2007 — conf
How Marginal Likelihood Inference Unifies Entropy, Correlation and SNR-Based Stopping in Nonlinear Diffusion Scale-Spaces.
ACCV (1)
Ramunas Girdziusas, Jorma Laaksonen
2007 — conf
Improving the Accuracy of Global Feature Fusion Based Image Categorisation.
SAMT
Ville Viitaniemi, Jorma Laaksonen
2007 J jnl
Measuring Concept Similarities in Multimedia Ontologies: Analysis and Evaluations.
IEEE Trans. Multim.
Markus Koskela, Alan F. Smeaton, Jorma Laaksonen
2007 J jnl
Multiplicative updates for non-negative projections.
Neurocomputing
Zhirong Yang, Jorma Laaksonen
2007 — conf
Overview of the ImageCLEF 2007 Object Retrieval Task.
CLEF
Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András A. Benczúr, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández-Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marín-Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger, Lei Wu
2007 — conf
Overview of the ImageCLEF 2007 Object Retrieval Task.
CLEF (Working Notes)
Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András A. Benczúr, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández-Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marín-Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger, Lei Wu
2007 — conf
PicSOM Experiments in TRECVID 2007.
TRECVID
Markus Koskela, Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen, Philip Prentis
2007 J jnl
Projective Non-Negative Matrix Factorization with Applications to Facial Image Processing.
Int. J. Pattern Recognit. Artif. Intell.
Zhirong Yang, Zhijian Yuan, Jorma Laaksonen
2007 — conf
Regularized Neighborhood Component Analysis.
SCIA
Zhirong Yang, Jorma Laaksonen
2007 — conf
Rushes summarization with self-organizing maps.
TVS
Markus Koskela, Mats Sjöberg, Jorma Laaksonen, Ville Viitaniemi, Hannes Muurinen
2007 — conf
Video Segmentation and Shot Boundary Detection Using Self-Organizing Maps.
SCIA
Hannes Muurinen, Jorma Laaksonen
2007 A* conf
When is a Discrete Diffusion a Scale-Space?
ICCV
Ramunas Girdziusas, Jorma Laaksonen
2006 — conf
A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction.
ICANN (2)
Zhirong Yang, Jorma Laaksonen
2006 C conf
A Self-Organizing Map Framework for Detection of Man-Made Structures and Changes in Satellite Imagery.
IGARSS
Matthieu Molinier, Jorma Laaksonen, Tuomas Häme
2006 Misc conf
Analysis of Semantic Information Available in an Image Collection Augmented with Auxiliary Data.
AIAI
Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen, Timo Honkela
2006 — conf
PicSOM Experiments in TRECVID 2006.
TRECVID
Mats Sjöberg, Hannes Muurinen, Jorma Laaksonen, Markus Koskela
2006 — conf
Retrieval of Multimedia Objects by Combining Semantic Information from Visual and Textual Descriptors.
ICANN (2)
Mats Sjöberg, Jorma Laaksonen, Matti Pöllä, Timo Honkela
2006 Misc conf
Semantic Concept Detection from News Videos with Self-Organizing Maps.
AIAI
Markus Koskela, Jorma Laaksonen
2006 — conf
Techniques for Still Image Scene Classification and Object Detection.
ICANN (2)
Ville Viitaniemi, Jorma Laaksonen
2006 — conf
Use of Image Regions in Context-Adaptive Image Classification.
SAMT
Ville Viitaniemi, Jorma Laaksonen
2006 J jnl
Using diversity of errors for selecting members of a committee classifier.
Pattern Recognit.
Matti Aksela, Jorma Laaksonen
2005 — conf
Approximated Classification in Interactive Facial Image Retrieval.
SCIA
Zhirong Yang, Jorma Laaksonen
2005 — conf
Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps.
ICANN (2)
Mats Sjöberg, Jorma Laaksonen
2005 B conf
Gaussian processes of nonlinear diffusion filtering.
IJCNN
Ramunas Girdziusas, Jorma Laaksonen
2005 Misc conf
Interactive Retrieval in Facial Image Database Using Self-Organizing Maps.
MVA
Zhirong Yang, Jorma Laaksonen
2005 — conf
Jacobi Alternative to Bayesian Evidence Maximization in Diffusion Filtering.
ICANN (2)
Ramunas Girdziusas, Jorma Laaksonen
2005 — conf
On Adaptive Confidences for Critic-Driven Classifier Combining.
ICAPR (1)
Matti Aksela, Jorma Laaksonen
2005 — conf
Optimal Ratio of Lamé Moduli with Application to Motion of Jupiter Storms.
SCIA
Ramunas Girdziusas, Jorma Laaksonen
2005 — conf
Optimal Stopping and Constraints for Diffusion Models of Signals with Discontinuities.
ECML
Ramunas Girdziusas, Jorma Laaksonen
2005 — conf
Partial Relevance in Interactive Facial Image Retrieval.
ICAPR (2)
Zhirong Yang, Jorma Laaksonen
2005 — conf
PicSOM Experiments in TRECVID 2005.
TRECVID
Markus Koskela, Jorma Laaksonen, Mats Sjöberg, Hannes Muurinen
2005 — conf
Semantic Annotation of Image Groups with Self-organizing Maps.
CIVR
Markus Koskela, Jorma Laaksonen
2005 — conf
The 2005 PASCAL Visual Object Classes Challenge.
MLCW
Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang
2005 — conf
Use of Input Deformations with Brownian Motion Filters for Discontinuous Regression.
ICAPR (1)
Ramunas Girdziusas, Jorma Laaksonen
2004 J jnl
Class distributions on SOM surfaces for feature extraction and object retrieval.
Neural Networks
Jorma Laaksonen, Markus Koskela, Erkki Oja
2004 — conf
Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval.
ICPR (2)
Markus Koskela, Jorma Laaksonen, Erkki Oja
2004 B conf
Gaussian Process Regression with Fluid Hyperpriors.
ICONIP
Ramunas Girdziusas, Jorma Laaksonen
2004 — conf
Task-Based User Evaluation of Content-Based Image Database Browsing Systems.
CIVR
Timo Ojala, Markus Koskela, Esa Matinmikko, Mika Rautiainen, Jorma Laaksonen, Erkki Oja
2004 — conf
Use of Image Subset Features in Image Retrieval with Self-Organizing Maps.
CIVR
Markus Koskela, Jorma Laaksonen, Erkki Oja
2003 — conf
An Efficiency Comparison of Two Content-Based Image Retrieval Systems, GIFT and PicSOM.
CIVR
Mika Rummukainen, Jorma Laaksonen, Markus Koskela
2003 J jnl
Methods for adaptive combination of classifiers with application to recognition of handwritten characters.
Int. J. Document Anal. Recognit.
Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas
2003 — conf
Using Image Segments in PicSOM CBIR System.
SCIA
Mats Sjöberg, Jorma Laaksonen, Ville Viitaniemi
2003 — conf
Using Long-Term Learning to Improve Efficiency of Content-Based Image Retrieval.
PRIS
Markus Koskela, Jorma Laaksonen
2002 — conf
A Comparison of Techniques for Automatic Clustering of Handwritten Characters.
ICPR (3)
Vuokko Vuori, Jorma Laaksonen
2002 — conf
Class-confidence critic combining.
IWFHR
Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas
2002 C conf
Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps.
ICANN
Markus Koskela, Jorma Laaksonen, Erkki Oja
2002 J jnl
Influence of erroneous learning samples on adaptation in on-line handwriting recognition.
Pattern Recognit.
Vuokko Vuori, Jorma Laaksonen, Jari Kangas
2002 — conf
MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System.
VISUAL
Markus Koskela, Jorma Laaksonen, Erkki Oja
2002 J jnl
PicSOM-self-organizing image retrieval with MPEG-7 content descriptors.
IEEE Trans. Neural Networks
Jorma Laaksonen, Markus Koskela, Erkki Oja
2002 J jnl
Statistical Shape Features for Content-Based Image Retrieval.
J. Math. Imaging Vis.
Sami S. Brandt, Jorma Laaksonen, Erkki Oja
2002 — conf
Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps.
ICPR (2)
Markus Koskela, Jorma Laaksonen, Erkki Oja
2001 — conf
Application of Adaptive Committee Classifiers in On-Line Character Recognition.
ICAPR
Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas
2001 J jnl
Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters.
Int. J. Document Anal. Recognit.
Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
2001 A conf
Rejection Methods for an Adaptive Committee Classifier.
ICDAR
Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas
2001 J jnl
Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval.
Pattern Anal. Appl.
Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja
2001 — conf
Self-Organizing Maps of Web Link Information.
WSOM
Sami Laakso, Jorma Laaksonen, Markus Koskela, Erkki Oja
2001 A conf
Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set.
ICDAR
Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
2000 B conf
Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters.
ICPR
Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
2000 — conf
Evaluating the Performance of Content-Based Image Retrieval Systems.
VISUAL
Markus Koskela, Jorma Laaksonen, Sami Laakso, Erkki Oja
2000 J jnl
PicSOM - content-based image retrieval with self-organizing maps.
Pattern Recognit. Lett.
Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja
2000 B conf
Statistical Shape Features in Content-Based Image Retrieval.
ICPR
Sami S. Brandt, Jorma Laaksonen, Erkki Oja
1999 B conf
Adaptive local subspace classifier in on-line recognition of handwritten characters.
IJCNN
Jorma Laaksonen, Matti Aksela, Erkki Oja, Jari Kangas
1999 — conf
Content-Based Image Retrieval Using Self-Organizing Maps.
VISUAL
Jorma Laaksonen, Markus Koskela, Erkki Oja
1999 A conf
Dynamically Expanding Context as Committee Adaptation Method in On-Line Recognition of Handwritten Latin Characters.
ICDAR
Jorma Laaksonen, Matti Aksela, Erkki Oja, Jari Kangas
1999 A conf
On-line Adaptation in Recognition of Handwritten Alphanumeric Characters.
ICDAR
Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
1999 B conf
PicSOM: self-organizing maps for content-based image retrieval.
IJCNN
Jorma Laaksonen, Markus Koskela, Erkki Oja
1998 J jnl
Learning Subspace Classifiers and Error-Corrective Feature Extraction.
Int. J. Pattern Recognit. Artif. Intell.
Jorma Laaksonen, Erkki Oja
1997 C conf
Local Subspace Classifier.
ICANN
Jorma Laaksonen
1997 J jnl
Neural and statistical classifiers-taxonomy and two case studies.
IEEE Trans. Neural Networks
Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja
1997 — —
Subspace classifiers in recognition of handwritten digits.
Jorma Laaksonen
1996 — conf
Classification with learning k-nearest neighbors.
ICNN
Jorma Laaksonen, Erkki Oja
1996 B conf
Neural network and statistical perspectives of classification.
ICPR
Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja
1996 C conf
Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification.
ICANN
Jorma Laaksonen, Erkki Oja
1991 — conf
A new reliability-based phoneme segmentation method for the "neural" phonetic typewriter.
EUROSPEECH
Jorma Laaksonen
1990 J jnl
Variants of self-organizing maps.
IEEE Trans. Neural Networks
Jari Kangas, Teuvo Kohonen, Jorma Laaksonen