Variants of self-organizing maps. - Jari Kangas 001; Teuvo Kohonen; Jorma Laaksonen (IEEE Trans. Neural Networks, 1990)

A new reliability-based phoneme segmentation method for the "neural" phonetic typewriter. - Jorma Laaksonen (EUROSPEECH, 1991)

Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification. - Jorma Laaksonen; Erkki Oja (ICANN, 1996)

Classification with learning k-nearest neighbors. - Jorma Laaksonen; Erkki Oja (ICNN, 1996)

Neural network and statistical perspectives of classification. - Lasse Holmström; Petri Koistinen; Jorma Laaksonen; Erkki Oja (ICPR, 1996)

Local Subspace Classifier. - Jorma Laaksonen (ICANN, 1997)

Neural and statistical classifiers-taxonomy and two case studies. - Lasse Holmström; Petri Koistinen; Jorma Laaksonen; Erkki Oja (IEEE Trans. Neural Networks, 1997)

Subspace classifiers in recognition of handwritten digits. - Jorma Laaksonen (1997)

Learning Subspace Classifiers and Error-Corrective Feature Extraction. - Jorma Laaksonen; Erkki Oja (Int. J. Pattern Recognit. Artif. Intell., 1998)

Dynamically Expanding Context as Committee Adaptation Method in On-Line Recognition of Handwritten Latin Characters. - Jorma Laaksonen; Matti Aksela; Erkki Oja; Jari Kangas 001 (ICDAR, 1999)

On-line Adaptation in Recognition of Handwritten Alphanumeric Characters. - Vuokko Vuori; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (ICDAR, 1999)

Adaptive local subspace classifier in on-line recognition of handwritten characters. - Jorma Laaksonen; Matti Aksela; Erkki Oja; Jari Kangas 001 (IJCNN, 1999)

PicSOM: self-organizing maps for content-based image retrieval. - Jorma Laaksonen; Markus Koskela; Erkki Oja (IJCNN, 1999)

Content-Based Image Retrieval Using Self-Organizing Maps. - Jorma Laaksonen; Markus Koskela; Erkki Oja (VISUAL, 1999)

Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters. - Vuokko Vuori; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (ICPR, 2000)

Evaluating the Performance of Content-Based Image Retrieval Systems. - Markus Koskela; Jorma Laaksonen; Sami Laakso; Erkki Oja (VISUAL, 2000)

PicSOM - content-based image retrieval with self-organizing maps. - Jorma Laaksonen; Markus Koskela; Sami Laakso; Erkki Oja (Pattern Recognit. Lett., 2000)

Application of Adaptive Committee Classifiers in On-Line Character Recognition. - Matti Aksela; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (ICAPR, 2001)

Rejection Methods for an Adaptive Committee Classifier. - Matti Aksela; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (ICDAR, 2001)

Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set. - Vuokko Vuori; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (ICDAR, 2001)

Self-Organizing Maps of Web Link Information. - Sami Laakso; Jorma Laaksonen; Markus Koskela; Erkki Oja (WSOM, 2001)

Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters. - Vuokko Vuori; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (Int. J. Document Anal. Recognit., 2001)

Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval. - Jorma Laaksonen; Markus Koskela; Sami Laakso; Erkki Oja (Pattern Anal. Appl., 2001)

Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. - Markus Koskela; Jorma Laaksonen; Erkki Oja (ICANN, 2002)

Class-confidence critic combining. - Matti Aksela; Ramunas Girdziusas; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (IWFHR, 2002)

Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps. - Markus Koskela; Jorma Laaksonen; Erkki Oja (ICPR (2), 2002)

A Comparison of Techniques for Automatic Clustering of Handwritten Characters. - Vuokko Vuori; Jorma Laaksonen (ICPR (3), 2002)

MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System. - Markus Koskela; Jorma Laaksonen; Erkki Oja (VISUAL, 2002)

Statistical Shape Features for Content-Based Image Retrieval. - Sami S. Brandt; Jorma Laaksonen; Erkki Oja (J. Math. Imaging Vis., 2002)

Influence of erroneous learning samples on adaptation in on-line handwriting recognition. - Vuokko Vuori; Jorma Laaksonen; Jari Kangas 001 (Pattern Recognit., 2002)

PicSOM-self-organizing image retrieval with MPEG-7 content descriptors. - Jorma Laaksonen; Markus Koskela; Erkki Oja (IEEE Trans. Neural Networks, 2002)

An Efficiency Comparison of Two Content-Based Image Retrieval Systems, GIFT and PicSOM. - Mika Rummukainen; Jorma Laaksonen; Markus Koskela (CIVR, 2003)

Using Long-Term Learning to Improve Efficiency of Content-Based Image Retrieval. - Markus Koskela; Jorma Laaksonen (PRIS, 2003)

Using Image Segments in PicSOM CBIR System. - Mats Sjöberg; Jorma Laaksonen; Ville Viitaniemi (SCIA, 2003)

Methods for adaptive combination of classifiers with application to recognition of handwritten characters. - Matti Aksela; Ramunas Girdziusas; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (Int. J. Document Anal. Recognit., 2003)

Use of Image Subset Features in Image Retrieval with Self-Organizing Maps. - Markus Koskela; Jorma Laaksonen; Erkki Oja (CIVR, 2004)

Task-Based User Evaluation of Content-Based Image Database Browsing Systems. - Timo Ojala; Markus Koskela; Esa Matinmikko; Mika Rautiainen; Jorma Laaksonen; Erkki Oja (CIVR, 2004)

Gaussian Process Regression with Fluid Hyperpriors. - Ramunas Girdziusas; Jorma Laaksonen (ICONIP, 2004)

Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval. - Markus Koskela; Jorma Laaksonen; Erkki Oja (ICPR (2), 2004)

Class distributions on SOM surfaces for feature extraction and object retrieval. - Jorma Laaksonen; Markus Koskela; Erkki Oja (Neural Networks, 2004)

Semantic Annotation of Image Groups with Self-organizing Maps. - Markus Koskela; Jorma Laaksonen (CIVR, 2005)

Optimal Stopping and Constraints for Diffusion Models of Signals with Discontinuities. - Ramunas Girdziusas; Jorma Laaksonen (ECML, 2005)

Jacobi Alternative to Bayesian Evidence Maximization in Diffusion Filtering. - Ramunas Girdziusas; Jorma Laaksonen (ICANN (2), 2005)

Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps. - Mats Sjöberg; Jorma Laaksonen (ICANN (2), 2005)

On Adaptive Confidences for Critic-Driven Classifier Combining. - Matti Aksela; Jorma Laaksonen (ICAPR (1), 2005)

Use of Input Deformations with Brownian Motion Filters for Discontinuous Regression. - Ramunas Girdziusas; Jorma Laaksonen (ICAPR (1), 2005)

Partial Relevance in Interactive Facial Image Retrieval. - Zhirong Yang; Jorma Laaksonen (ICAPR (2), 2005)

Gaussian processes of nonlinear diffusion filtering. - Ramunas Girdziusas; Jorma Laaksonen (IJCNN, 2005)

The 2005 PASCAL Visual Object Classes Challenge. - 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; et al. (MLCW, 2005)

Interactive Retrieval in Facial Image Database Using Self-Organizing Maps. - Zhirong Yang; Jorma Laaksonen (MVA, 2005)

Optimal Ratio of Lamé Moduli with Application to Motion of Jupiter Storms. - Ramunas Girdziusas; Jorma Laaksonen (SCIA, 2005)

Approximated Classification in Interactive Facial Image Retrieval. - Zhirong Yang; Jorma Laaksonen (SCIA, 2005)

PicSOM Experiments in TRECVID 2005. - Markus Koskela; Jorma Laaksonen; Mats Sjöberg; Hannes Muurinen (TRECVID, 2005)

Retrieval of Multimedia Objects by Combining Semantic Information from Visual and Textual Descriptors. - Mats Sjöberg; Jorma Laaksonen; Matti Pöllä; Timo Honkela (ICANN (2), 2006)

Techniques for Still Image Scene Classification and Object Detection. - Ville Viitaniemi; Jorma Laaksonen (ICANN (2), 2006)

A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction. - Zhirong Yang; Jorma Laaksonen (ICANN (2), 2006)

Semantic Concept Detection from News Videos with Self-Organizing Maps. - Markus Koskela; Jorma Laaksonen (AIAI, 2006)

Analysis of Semantic Information Available in an Image Collection Augmented with Auxiliary Data. - Mats Sjöberg; Ville Viitaniemi; Jorma Laaksonen; Timo Honkela (AIAI, 2006)

A Self-Organizing Map Framework for Detection of Man-Made Structures and Changes in Satellite Imagery. - Matthieu Molinier; Jorma Laaksonen; Tuomas Häme (IGARSS, 2006)

Use of Image Regions in Context-Adaptive Image Classification. - Ville Viitaniemi; Jorma Laaksonen (SAMT, 2006)

PicSOM Experiments in TRECVID 2006. - Mats Sjöberg; Hannes Muurinen; Jorma Laaksonen; Markus Koskela (TRECVID, 2006)

Using diversity of errors for selecting members of a committee classifier. - Matti Aksela; Jorma Laaksonen (Pattern Recognit., 2006)

How Marginal Likelihood Inference Unifies Entropy, Correlation and SNR-Based Stopping in Nonlinear Diffusion Scale-Spaces. - Ramunas Girdziusas; Jorma Laaksonen (ACCV (1), 2007)

Evaluating Performance of Automatic Image Annotation: Example Case by Fusing Global Image Features. - Ville Viitaniemi; Jorma Laaksonen (CBMI, 2007)

Overview of the ImageCLEF 2007 Object Retrieval Task. - 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; et al. (CLEF (Working Notes), 2007)

Face Recognition Using Parzenfaces. - Zhirong Yang; Jorma Laaksonen (ICANN (2), 2007)

When is a Discrete Diffusion a Scale-Space? - Ramunas Girdziusas; Jorma Laaksonen (ICCV, 2007)

Detecting changes in polarimetric SAR data with content-based image retrieval. - Matthieu Molinier; Jorma Laaksonen; Yrjö Rauste; Tuomas Häme (IGARSS, 2007)

Approximated Geodesic Updates with Principal Natural Gradients. - Zhirong Yang; Jorma Laaksonen (IJCNN, 2007)

Rushes summarization with self-organizing maps. - Markus Koskela; Mats Sjöberg; Jorma Laaksonen; Ville Viitaniemi; Hannes Muurinen (TVS, 2007)

Improving the Accuracy of Global Feature Fusion Based Image Categorisation. - Ville Viitaniemi; Jorma Laaksonen (SAMT, 2007)

Video Segmentation and Shot Boundary Detection Using Self-Organizing Maps. - Hannes Muurinen; Jorma Laaksonen (SCIA, 2007)

Regularized Neighborhood Component Analysis. - Zhirong Yang; Jorma Laaksonen (SCIA, 2007)

PicSOM Experiments in TRECVID 2007. - Markus Koskela; Mats Sjöberg; Ville Viitaniemi; Jorma Laaksonen; Philip Prentis (TRECVID, 2007)

Empirical Investigations on Benchmark Tasks for Automatic Image Annotation. - Ville Viitaniemi; Jorma Laaksonen (VISUAL, 2007)

Multiplicative updates for non-negative projections. - Zhirong Yang; Jorma Laaksonen (Neurocomputing, 2007)

Projective Non-Negative Matrix Factorization with Applications to Facial Image Processing. - Zhirong Yang; Zhijian Yuan; Jorma Laaksonen (Int. J. Pattern Recognit. Artif. Intell., 2007)

Adaptive combination of adaptive classifiers for handwritten character recognition. - Matti Aksela; Jorma Laaksonen (Pattern Recognit. Lett., 2007)

Evaluating the performance in automatic image annotation: Example case by adaptive fusion of global image features. - Ville Viitaniemi; Jorma Laaksonen (Signal Process. Image Commun., 2007)

Detecting Man-Made Structures and Changes in Satellite Imagery With a Content-Based Information Retrieval System Built on Self-Organizing Maps. - Matthieu Molinier; Jorma Laaksonen; Tuomas Häme (IEEE Trans. Geosci. Remote. Sens., 2007)

Measuring Concept Similarities in Multimedia Ontologies: Analysis and Evaluations. - Markus Koskela; Alan F. Smeaton; Jorma Laaksonen (IEEE Trans. Multim., 2007)

Image Classification by Histogram Features Created with Learning Vector Quantization. - Marcin Blachnik; Jorma Laaksonen (ICANN (1), 2008)

Classification of Fundus Images for Diagnosing Glaucoma by Self-Organizing Map and Learning Vector Quantization. - Nobuo Matsuda; Jorma Laaksonen; Fumiaki Tajima; Hideaki Sato (ICONIP (2), 2008)

PicSOM Experiments in TRECVID 2008. - Markus Koskela; Mats Sjöberg; Ville Viitaniemi; Jorma Laaksonen (TRECVID, 2008)

Experiments on Selection of Codebooks for Local Image Feature Histograms. - Ville Viitaniemi; Jorma Laaksonen (VISUAL, 2008)

Techniques for Image Classification, Object Detection and Object Segmentation. - Ville Viitaniemi; Jorma Laaksonen (VISUAL, 2008)

Exploiting Temporal and Inter-concept Co-occurrence Structure to Detect High-Level Features in Broadcast Videos. - Ville Viitaniemi; Mats Sjöberg; Markus Koskela; Jorma Laaksonen (WIAMIS, 2008)

Inferring semantics from textual information in multimedia retrieval. - Mats Sjöberg; Jorma Laaksonen; Timo Honkela; Matti Pöllä (Neurocomputing, 2008)

Principal whitened gradient for information geometry. - Zhirong Yang; Jorma Laaksonen (Neural Networks, 2008)

Spatial extensions to bag of visual words. - Ville Viitaniemi; Jorma Laaksonen (CIVR, 2009)

Image Theft Detection with Self-Organising Maps. - Philip Prentis; Mats Sjöberg; Markus Koskela; Jorma Laaksonen (ICANN (1), 2009)

Representing Images with chi2 Distance Based Histograms of SIFT Descriptors. - Ville Viitaniemi; Jorma Laaksonen (ICANN (2), 2009)

Improving Automatic Video Retrieval with Semantic Concept Detection. - Markus Koskela; Mats Sjöberg; Jorma Laaksonen (SCIA, 2009)

The Effect of Motion Blur and Signal Noise on Image Quality in Low Light Imaging. - Eero Kurimo; Leena Lepistö; Jarno Nikkanen; Juuso Grén; Iivari Kunttu; Jorma Laaksonen (SCIA, 2009)

Combining Local Feature Histograms of Different Granularities. - Ville Viitaniemi; Jorma Laaksonen (SCIA, 2009)

Informative Laplacian Projection. - Zhirong Yang; Jorma Laaksonen (SCIA, 2009)

PicSOM Experiments in TRECVID 2009. - Mats Sjöberg; Ville Viitaniemi; Markus Koskela; Jorma Laaksonen (TRECVID, 2009)

Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood. - Mats Sjöberg; Jorma Laaksonen (WSOM, 2009)

Region Matching Techniques for Spatial Bag of Visual Words Based Image Category Recognition. - Ville Viitaniemi; Jorma Laaksonen (ICANN (1), 2010)

PicSOM Experiments in ImageCLEF RobotVision. - Mats Sjöberg; Markus Koskela; Ville Viitaniemi; Jorma Laaksonen (ICPR Contests, 2010)

PicSOM Experiments in TRECVID 2010. - Mats Sjöberg; Markus Koskela; Milen Chechev; Jorma Laaksonen (TRECVID, 2010)

Pinview: Implicit Feedback in Content-Based Image Retrieval. - Peter Auer; Zakria Hussain; Samuel Kaski; Arto Klami; Jussi Kujala; Jorma Laaksonen; Alex Po Leung; Kitsuchart Pasupa; John Shawe-Taylor (WAPA, 2010)

Gaze- and Speech-Enhanced Content-Based Image Retrieval in Image Tagging. - He Zhang 009; Teemu Ruokolainen; Jorma Laaksonen; Christina Hochleitner; Rudolf Traunmüller (ICANN (2), 2011)

A Multimodal Information Collector for Content-Based Image Retrieval System. - He Zhang 009; Mats Sjöberg; Jorma Laaksonen; Erkki Oja (ICONIP (3), 2011)

Analyzing Emotional Semantics of Abstract Art Using Low-Level Image Features. - He Zhang 009; Eimontas Augilius; Timo Honkela; Jorma Laaksonen; Hannes Gamper; Henok Alene (IDA, 2011)

PicSOM Experiments in TRECVID 2011. - Mats Sjöberg; Satoru Ishikawa; Markus Koskela; Jorma Laaksonen; Erkki Oja (TRECVID, 2011)

Media Map: A Multilingual Document Map with a Design Interface. - Timo Honkela; Jorma Laaksonen; Hannele Törrö; Juhani Tenhunen (WSOM, 2011)

Analysing the Structure of Semantic Concepts in Visual Databases. - Mats Sjöberg; Jorma Laaksonen (WSOM, 2011)

An augmented reality interface to contextual information. - Antti Ajanki; Mark Billinghurst; Hannes Gamper; Toni Järvenpää; Melih Kandemir; Samuel Kaski; Markus Koskela; Mikko Kurimo; Jorma Laaksonen; Kai Puolamäki; Teemu Ruokolainen; Timo Tossavainen (Virtual Real., 2011)

Real-time large-scale visual concept detection with linear classifiers. - Mats Sjöberg; Markus Koskela; Satoru Ishikawa; Jorma Laaksonen (ICPR, 2012)

Comparing computer vision analysis of signed language video with motion capture recordings. - Matti Karppa; Tommi Jantunen; Ville Viitaniemi; Jorma Laaksonen; Birgitta Burger; Danny De Weerdt (LREC, 2012)

PicSOM Experiments in TRECVID 2012. - Mats Sjöberg; Satoru Ishikawa; Markus Koskela; Jorma Laaksonen; Erkki Oja (TRECVID, 2012)

Adaptive timeline interface to personal history data. - Antti Ajanki; Markus Koskela; Jorma Laaksonen; Samuel Kaski (ICMI, 2013)

Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning. - He Zhang 009; Zhirong Yang; Mehmet Gönen; Markus Koskela; Jorma Laaksonen; Timo Honkela; Erkki Oja (ICONIP (3), 2013)

Large-scale visual concept detection with explicit kernel maps and power mean SVM. - Mats Sjöberg; Markus Koskela; Satoru Ishikawa; Jorma Laaksonen (ICMR, 2013)

Head Pose Estimation for Sign Language Video. - Marcos Luzardo; Matti Karppa; Jorma Laaksonen; Tommi Jantunen (SCIA, 2013)

Detecting Hand-Head Occlusions in Sign Language Video. - Ville Viitaniemi; Matti Karppa; Jorma Laaksonen; Tommi Jantunen (SCIA, 2013)

PicSOM Experiments in TRECVID 2013. - Satoru Ishikawa; Markus Koskela; Mats Sjöberg; Jorma Laaksonen; Erkki Oja; Ehsan Amid; Kalle J. Palomäki; Annamaria Mesaros; Mikko Kurimo (TRECVID, 2013)

Using semantic features to improve large-scale visual concept detection. - Mats Sjöberg; Jorma Laaksonen (CBMI, 2014)

Unsupervised feature extraction for multimedia event detection and ranking using audio content. - Ehsan Amid; Annamaria Mesaros; Kalle J. Palomäki; Jorma Laaksonen; Mikko Kurimo (ICASSP, 2014)

2D Appearance Based Techniques for Tracking the Signer Configuration in Sign Language Video Recordings. - Ville Viitaniemi; Matti Karppa; Jorma Laaksonen (ICIAR (2), 2014)

Experiments on Recognising the Handshape in Blobs Extracted from Sign Language Videos. - Ville Viitaniemi; Matti Karppa; Jorma Laaksonen (ICPR, 2014)

SLMotion - An extensible sign language oriented video analysis tool. - Matti Karppa; Ville Viitaniemi; Marcos Luzardo; Jorma Laaksonen; Tommi Jantunen (LREC, 2014)

S-pot - a benchmark in spotting signs within continuous signing. - Ville Viitaniemi; Tommi Jantunen; Leena Savolainen; Matti Karppa; Jorma Laaksonen (LREC, 2014)

Convolutional Network Features for Scene Recognition. - Markus Koskela; Jorma Laaksonen (ACM Multimedia, 2014)

PicSOM Experiments in TRECVID 2014. - Satoru Ishikawa; Markus Koskela; Mats Sjöberg; Rao Muhammad Anwer; Jorma Laaksonen; Erkki Oja (TRECVID, 2014)

Content-Based Prediction of Movie Style, Aesthetics, and Affect: Data Set and Baseline Experiments. - Jussi Tarvainen; Mats Sjöberg; Stina Westman; Jorma Laaksonen; Pirkko Oittinen (IEEE Trans. Multim., 2014)

Towards Reliable Automatic Multimodal Content Analysis. - Olli Philippe Lautenbacher; Liisa Tiittula; Maija Hirvonen; Jorma Laaksonen; Mikko Kurimo (VL@EMNLP, 2015)

Deep Semantic Pyramids for Human Attributes and Action Recognition. - Fahad Shahbaz Khan; Rao Muhammad Anwer; Joost van de Weijer 001; Michael Felsberg; Jorma Laaksonen (SCIA, 2015)

PicSOM Experiments in TRECVID 2015. - Satoru Ishikawa; Rao Muhammad Anwer; Markus Koskela; Jorma Laaksonen (TRECVID, 2015)

Video captioning with recurrent networks based on frame- and video-level features and visual content classification. - Rakshith Shetty; Jorma Laaksonen (CoRR, 2015)

Compact color-texture description for texture classification. - Fahad Shahbaz Khan; Rao Muhammad Anwer; Joost van de Weijer 001; Michael Felsberg; Jorma Laaksonen (Pattern Recognit. Lett., 2015)

Bottom-Up Fixation Prediction Using Unsupervised Hierarchical Models. - Hamed Rezazadegan Tavakoli; Jorma Laaksonen (ACCV Workshops (1), 2016)

Comparing and combining unimodal methods for multimodal recognition. - Satoru Ishikawa; Jorma Laaksonen (CBMI, 2016)

Towards gaze-based video annotation. - Mohamed Soliman; Hamed Rezazadegan Tavakoli; Jorma Laaksonen (IPTA, 2016)

Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations. - Hamed Rezazadegan Tavakoli; Hanieh Poostchi; Jaakko Peltonen; Jorma Laaksonen; Samuel Kaski (ISVC (2), 2016)

Combining Holistic and Part-based Deep Representations for Computational Painting Categorization. - Rao Muhammad Anwer; Fahad Shahbaz Khan; Joost van de Weijer 001; Jorma Laaksonen (ICMR, 2016)

Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation. - Rakshith Shetty; Jorma Laaksonen (ACM Multimedia, 2016)

Exploiting Scene Context for Image Captioning. - Rakshith Shetty; Hamed Rezazadegan Tavakoli; Jorma Laaksonen (iV&L-MM@MM, 2016)

On the Contribution of Saliency in Visual Tracking. - Iman Alikhani; Hamed Rezazadegan Tavakoli; Esa Rahtu; Jorma Laaksonen (VISIGRAPP (4: VISAPP), 2016)

Saliency Revisited: Analysis of Mouse Movements Versus Fixations. - Hamed R. Tavakoli; Fawad Ahmed; Ali Borji; Jorma Laaksonen (CVPR, 2017)

Fixation Prediction in Videos Using Unsupervised Hierarchical Features. - Julius Wang; Hamed R. Tavakoli; Jorma Laaksonen (CVPR Workshops, 2017)

VisualLabel: An Integrated Multimedia Content Management and Access Framework. - Iftikhar Ahmad 001; Petri Rantanen; Pekka Sillberg; Jorma Laaksonen; Shuhua Liu; Thomas Forss; Aqdas Malik; Marko Nieminen; Rakshith Shetty; Satoru Ishikawa; Jarno Kallio; Jukka P. Saarinen; et al. (EJC, 2017)

Paying Attention to Descriptions Generated by Image Captioning Models. - Hamed R. Tavakoli; Rakshith Shetty; Ali Borji; Jorma Laaksonen (ICCV, 2017)

Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map. - Satoru Ishikawa; Jorma Laaksonen; Juha Karhunen (IJCNN, 2017)

Computational and Perceptual Determinants of Film Mood in Different Types of Scenes. - Jussi Tarvainen; Jorma Laaksonen; Tapio Takala (ISM, 2017)

TEX-Nets: Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition. - Rao Muhammad Anwer; Fahad Shahbaz Khan; Joost van de Weijer 001; Jorma Laaksonen (ICMR, 2017)

Top-Down Deep Appearance Attention for Action Recognition. - Rao Muhammad Anwer; Fahad Shahbaz Khan; Joost van de Weijer 001; Jorma Laaksonen (SCIA (1), 2017)

Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification. - Rao Muhammad Anwer; Fahad Shahbaz Khan; Joost van de Weijer 001; Matthieu Molinier; Jorma Laaksonen (CoRR, 2017)

Prominent Object Detection and Recognition: A Saliency-based Pipeline. - Hamed Rezazadegan Tavakoli; Jorma Laaksonen (CoRR, 2017)

Investigating Natural Image Pleasantness Recognition using Deep Features and Eye Tracking for Loosely Controlled Human-computer Interaction. - Hamed Rezazadegan Tavakoli; Jorma Laaksonen; Esa Rahtu (CoRR, 2017)

Can Saliency Information Benefit Image Captioning Models? - Hamed Rezazadegan Tavakoli; Rakshith Shetty; Ali Borji; Jorma Laaksonen (CoRR, 2017)

Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features. - Hamed Rezazadegan Tavakoli; Ali Borji; Jorma Laaksonen; Esa Rahtu (Neurocomputing, 2017)

Uni- and multimodal methods for single- and multi-label recognition. - Satoru Ishikawa; Jorma Laaksonen (Multim. Tools Appl., 2017)

Two-Stream Part-Based Deep Representation for Human Attribute Recognition. - Rao Muhammad Anwer; Fahad Shahbaz Khan; Jorma Laaksonen (ICB, 2018)

PicSOM Experiments in TRECVID 2018. - Mats Sjöberg; Hamed R. Tavakoli; Zhicun Xu; Héctor Laria Mantecón; Jorma Laaksonen (TRECVID, 2018)

The MeMAD Submission to the WMT18 Multimodal Translation Task. - Stig-Arne Grönroos; Benoit Huet; Mikko Kurimo; Jorma Laaksonen; Bernard Mérialdo; Phu Pham; Mats Sjöberg; Umut Sulubacak; Jörg Tiedemann; Raphaël Troncy; Raúl Vázquez (WMT (shared task), 2018)

Image and Video Captioning with Augmented Neural Architectures. - Rakshith Shetty; Hamed Rezazadegan Tavakoli; Jorma Laaksonen (IEEE Multim., 2018)

Scale coding bag of deep features for human attribute and action recognition. - Fahad Shahbaz Khan; Joost van de Weijer 001; Rao Muhammad Anwer; Andrew D. Bagdanov; Michael Felsberg; Jorma Laaksonen (Mach. Vis. Appl., 2018)

Multi-stream Convolutional Networks for Indoor Scene Recognition. - Rao Muhammad Anwer; Fahad Shahbaz Khan; Jorma Laaksonen; Nazar Zaki (CAIP (1), 2019)

Deep Contextual Attention for Human-Object Interaction Detection. - Tiancai Wang; Rao Muhammad Anwer; Muhammad Haris Khan; Fahad Shahbaz Khan; Yanwei Pang; Ling Shao 001; Jorma Laaksonen (ICCV, 2019)

A Multi-Task Bayesian Deep Neural Net for Detecting Life-Threatening Infant Incidents From Head Images. - Tzu-Jui Julius Wang; Jorma Laaksonen; Yi-Ping Liao; Bo-Zong Wu; Shih-Yun Shen (ICIP, 2019)

Combining Textual and Visual Modeling for Predicting Media Memorability. - Alison Reboud; Ismail Harrando; Jorma Laaksonen; Danny Francis; Raphaël Troncy; Héctor Laria Mantecón (MediaEval, 2019)

AI4TV 2019: 1st International Workshop on AI for Smart TV Content Production, Access and Delivery. - Raphaël Troncy; Jorma Laaksonen; Hamed R. Tavakoli; Lyndon J. B. Nixon; Vasileios Mezaris (ACM Multimedia, 2019)

PicSOM and EURECOM Experiments in TRECVID 2019. - Héctor Laria Mantecón; Jorma Laaksonen; Danny Francis; Benoit Huet (TRECVID, 2019)

Character-Centric Storytelling. - Aditya Surikuchi; Jorma Laaksonen (CoRR, 2019)

Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models. - Tzu-Jui Julius Wang; Selen Pehlivan; Jorma Laaksonen (BMVC, 2020)

Predicting Media Memorability with Audio, Video, and Text representations. - Alison Reboud; Ismail Harrando; Jorma Laaksonen; Raphaël Troncy (MediaEval, 2020)

AI4TV 2020: 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery. - Raphaël Troncy; Jorma Laaksonen; Hamed R. Tavakoli; Lyndon J. B. Nixon; Vasileios Mezaris; Mohammad Hosseini 002 (ACM Multimedia, 2020)

Using Fan-Made Content, Subtitles and Face Recognition for Character-Centric Video Summarization. - Ismail Harrando; Alison Reboud; Pasquale Lisena; Raphaël Troncy; Jorma Laaksonen; Anja Virkkunen; Mikko Kurimo (TRECVID, 2020)

PicSOM Experiments in TRECVID 2020. - Jorma Laaksonen; Zixin Guo (TRECVID, 2020)

Multi-Hazard and Spatial Transferability of a CNN for Automated Building Damage Assessment. - Tinka Valentijn; Jacopo Margutti; Marc van den Homberg; Jorma Laaksonen (Remote. Sens., 2020)

Film Mood and Its Quantitative Determinants in Different Types of Scenes. - Jussi Tarvainen; Jorma Laaksonen; Tapio Takala (IEEE Trans. Affect. Comput., 2020)

When Worlds Collide: AI-Created, Human-Mediated Video Description Services and the User Experience. - Sabine Braun; Kim Starr; Jaleh Delfani; Liisa Tiittula; Jorma Laaksonen; Karel Braeckman; Dieter Van Rijsselbergen; Sasha Lagrillière; Lauri Saarikoski (HCI (42), 2021)

Patch Size Selection for Analysis of Sub-Meter Resolution Hyperspectral Imagery of Forests. - Matti Mottus; Matthieu Molinier; Eelis Halme; Hai Cu; Jorma Laaksonen (IGARSS, 2021)

Exploring Multimodality, Perplexity and Explainability for Memorability Prediction. - Alison Reboud; Ismail Harrando; Jorma Laaksonen; Raphaël Troncy (MediaEval, 2021)

Compact Deep Color Features for Remote Sensing Scene Classification. - Rao Muhammad Anwer; Fahad Shahbaz Khan; Jorma Laaksonen (Neural Process. Lett., 2021)

MeMAD data for automatic cross-lingual retrieval experiments. - Umut Sulubacak; Jorma Laaksonen (Zenodo, 2021)

When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and Its Intensity. - Khalid Alnajjar; Mika Hämäläinen; Jörg Tiedemann; Jorma Laaksonen; Mikko Kurimo (COLING, 2022)

Tracing Signs of Urbanity in the Finnish Fiction Film of the 1950s: Toward a Multimodal Analysis of Audiovisual Data. - Tamás Grósz; Noora Kallioniemi; Harri Kiiskinen; Kimmo Laine; Anssi Moisio; Tommi Römpötti; Anja Virkkunen; Hannu Salmi; Mikko Kurimo; Jorma Laaksonen (DHNB, 2022)

DoodleFormer: Creative Sketch Drawing with Transformers. - Ankan Kumar Bhunia; Salman Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Fahad Shahbaz Khan; Jorma Laaksonen; Michael Felsberg (ECCV (17), 2022)

Post-Attention Modulator for Dense Video Captioning. - Zixin Guo; Tzu-Jui Julius Wang; Jorma Laaksonen (ICPR, 2022)

CLIP4IDC: CLIP for Image Difference Captioning. - Zixin Guo; Tzu-Jui Julius Wang; Jorma Laaksonen (AACL/IJCNLP (2), 2022)

Learning a Dynamic Cross-Modal Network for Multispectral Pedestrian Detection. - Jin Xie 005; Rao Muhammad Anwer; Hisham Cholakkal; Jing Nie 001; Jiale Cao; Jorma Laaksonen; Fahad Shahbaz Khan (ACM Multimedia, 2022)

Understanding videos with face recognition: a complete pipeline and applications. - Pasquale Lisena; Jorma Laaksonen; Raphaël Troncy (Multim. Syst., 2022)

TAIGA: A Novel Dataset for Multitask Learning of Continuous and Categorical Forest Variables From Hyperspectral Imagery. - Matti Mottus; Phu Pham; Eelis Halme; Matthieu Molinier; Hai Cu; Jorma Laaksonen (IEEE Trans. Geosci. Remote. Sens., 2022)

Person Image Synthesis via Denoising Diffusion Model. - Ankan Kumar Bhunia; Salman H. Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Jorma Laaksonen; Mubarak Shah; Fahad Shahbaz Khan (CVPR, 2023)

Anchor-Free Action Proposal Network with Uncertainty Estimation. - Selen Pehlivan; Jorma Laaksonen (ICME, 2023)

Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing. - Usman Muhammad; Md. Ziaul Hoque; Mourad Oussalah 002; Jorma Laaksonen (IPTA, 2023)

Cross-Modulated Few-Shot Image Generation for Colorectal Tissue Classification. - Amandeep Kumar; Ankan Kumar Bhunia; Sanath Narayan; Hisham Cholakkal; Rao Muhammad Anwer; Jorma Laaksonen; Fahad Shahbaz Khan (MICCAI (3), 2023)

3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers. - Omkar Thawakar; Rao Muhammad Anwer; Jorma Laaksonen; Orly Reiner; Mubarak Shah; Fahad Shahbaz Khan (MICCAI (8), 2023)

PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting. - Zixin Guo; Tzu-Jui Julius Wang; Selen Pehlivan; Abduljalil Radman; Jorma Laaksonen (SIGIR, 2023)

Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision. - Tzu-Jui Julius Wang; Jorma Laaksonen; Tomas Langer; Heikki Arponen; Tom E. Bishop (WACV, 2023)

XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models. - Omkar Thawakar; Abdelrahman M. Shaker; Sahal Shaji Mullappilly; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Jorma Laaksonen; Fahad Shahbaz Khan (CoRR, 2023)

Saliency-based Video Summarization for Face Anti-spoofing. - Usman Muhammad; Mourad Oussalah 002; Md. Ziaul Hoque; Jorma Laaksonen (CoRR, 2023)

Semi-Supervised learning for Face Anti-Spoofing using Apex frame. - Usman Muhammad; Mourad Oussalah 002; Jorma Laaksonen (CoRR, 2023)

Improved action proposals using fine-grained proposal features with recurrent attention models. - Selen Pehlivan; Jorma Laaksonen (J. Vis. Commun. Image Represent., 2023)

Diffusion-Based Multimodal Video Captioning. - Jaakko Kainulainen; Zixin Guo; Jorma Laaksonen (ACCV (3), 2024)

XrayGPT: Chest Radiographs Summarization using Large Medical Vision-Language Models. - Omkar Thawakar; Abdelrahman M. Shaker; Sahal Shaji Mullappilly; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Jorma Laaksonen; Fahad Khan 001 (BioNLP@ACL, 2024)

Text-to-Multimodal Retrieval with Bimodal Input Fusion in Shared Cross-Modal Transformer. - Pranav Arora; Selen Pehlivan; Jorma Laaksonen (LREC/COLING, 2024)

Size-Modulated Deformable Attention in Spatio-Temporal Video Grounding Pipelines. - Hans Tiwari; Selen Pehlivan; Jorma Laaksonen (ICPR (18), 2024)

A Comparison of Hyperspectral Super-Resolution Techniques for Boreal Forest Imagery. - Yuvrajsinh Chudasama; Usman Muhammad; Ville Mayra; Florent Guiotte; Jorma Laaksonen (IGARSS, 2024)

Mesh Surface And Morphological Hierarchies For Individual Tree Detection And Segmentation From LiDAR Data. - Florent Guiotte; Joel Kostensalo; Jorma Laaksonen (IGARSS, 2024)

AV-PEA: Parameter-Efficient Adapter for Audio-Visual Multimodal Learning. - Abduljalil Radman; Jorma Laaksonen (VISIGRAPP (2): VISAPP, 2024)

Bilateral Reference for High-Resolution Dichotomous Image Segmentation. - Peng Zheng 004; Dehong Gao; Deng-Ping Fan; Li Liu 002; Jorma Laaksonen; Wanli Ouyang; Nicu Sebe (CoRR, 2024)

CAMEL-Bench: A Comprehensive Arabic LMM Benchmark. - Sara Ghaboura; Ahmed Heakl; Omkar Thawakar; Ali Husain Salem Abdulla Alharthi; Ines Riahi; Abduljalil Saif; Jorma Laaksonen; Fahad Shahbaz Khan; Salman H. Khan 001; Rao Muhammad Anwer (CoRR, 2024)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - 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; et al. (CoRR, 2024)

Saliency-based video summarization for face anti-spoofing. - Usman Muhammad; Mourad Oussalah 002; Jorma Laaksonen (Pattern Recognit. Lett., 2024)

Temporal teacher with masked transformers for semi-supervised action proposal generation. - Selen Pehlivan; Jorma Laaksonen (Mach. Vis. Appl., 2024)

AS-Net: active speaker detection using deep audio-visual attention. - Abduljalil Radman; Jorma Laaksonen (Multim. Tools Appl., 2024)

Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection. - Usman Muhammad; Jorma Laaksonen; Djamila Romaissa Beddiar; Mourad Oussalah 002 (Int. J. Comput. Vis., 2024)

TSAM: Temporal SAM Augmented with Multimodal Prompts for Referring Audio-Visual Segmentation. - Abduljalil Radman; Jorma Laaksonen (CVPR, 2025)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - 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; et al. (CVPR, 2025)

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution. - Muhammad Usman; Jorma Laaksonen (DSP, 2025)

CAMEL-Bench: A Comprehensive Arabic LMM Benchmark. - Sara Ghaboura; Ahmed Heakl; Omkar Thawakar; Ali Husain Salem Abdulla Alharthi; Ines Riahi; Abduljalil Radman; Jorma Laaksonen; Fahad Shahbaz Khan; Salman Khan 001; Rao Muhammad Anwer (NAACL (Findings), 2025)

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network. - Usman Muhammad; Jorma Laaksonen; Lyudmila Mihaylova (SSP, 2025)

Prompt-based Weakly-supervised Vision-language Pre-training. - Zixin Guo; Tzu-Jui Julius Wang; Selen Pehlivan; Abduljalil Radman; Min Cao; Jorma Laaksonen (Pattern Recognit. Lett., 2025)

Efficient text-to-video retrieval via multi-modal multi-tagger derived pre-screening. - Yingjia Xu; Mengxia Wu; Zixin Guo; Min Cao; Mang Ye; Jorma Laaksonen (Vis. Intell., 2025)

Video Instance Segmentation in an Open-World. - Omkar Thawakar; Sanath Narayan; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Jorma Laaksonen; Mubarak Shah; Fahad Shahbaz Khan (Int. J. Comput. Vis., 2025)

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning. - Zongyan Han; Jiale Cao; Shuo Chen; Tong Wang 022; Jorma Laaksonen; Rao Muhammad Anwer (CoRR, 2025)

ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark. - Sara Ghaboura; Ketan More; Wafa Al Ghallabi; Omkar Thawakar; Jorma Laaksonen; Hisham Cholakkal; Salman H. Khan 001; Rao Muhammad Anwer (CoRR, 2025)

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution. - Usman Muhammad; Jorma Laaksonen (CoRR, 2025)

TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation. - Muhammad Sohail Danish; Muhammad Akhtar Munir; Syed Roshaan Ali Shah; Muhammad Haris Khan; Rao Muhammad Anwer; Jorma Laaksonen; Fahad Shahbaz Khan; Salman H. Khan 001 (CoRR, 2025)

MIRA: A Novel Framework for Fusing Modalities in Medical RAG. - Jinhong Wang; Tajamul Ashraf; Zongyan Han; Jorma Laaksonen; Rao Muhammad Anwer (CoRR, 2025)