Jorma Laaksonen

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 86

Top Venues

Publications

Abduljalil Radman, Jorma Laaksonen
AV-PEA: Parameter-Efficient Adapter for Audio-Visual Multimodal Learning. VISIGRAPP (2): VISAPP (2024)
Abduljalil Radman, Jorma Laaksonen
AS-Net: active speaker detection using deep audio-visual attention. Multim. Tools Appl. 83 (28) (2024)
Peng Zheng, Dehong Gao, Deng-Ping Fan, Li Liu, Jorma Laaksonen, Wanli Ouyang, Nicu Sebe
Bilateral Reference for High-Resolution Dichotomous Image Segmentation. CoRR (2024)
Pranav Arora, Selen Pehlivan, Jorma Laaksonen
Text-to-Multimodal Retrieval with Bimodal Input Fusion in Shared Cross-Modal Transformer. LREC/COLING (2024)
Selen Pehlivan, Jorma Laaksonen
Temporal teacher with masked transformers for semi-supervised action proposal generation. Mach. Vis. Appl. 35 (3) (2024)
Usman Muhammad, Md. Ziaul Hoque, Mourad Oussalah, Jorma Laaksonen
Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing. IPTA (2023)
Zixin Guo, Tzu-Jui Julius Wang, Selen Pehlivan, Abduljalil Radman, Jorma Laaksonen
PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting. CoRR (2023)
Omkar Thawakar, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan
Video Instance Segmentation in an Open-World. CoRR (2023)
Zixin Guo, Tzu-Jui Julius Wang, Selen Pehlivan, Abduljalil Radman, Jorma Laaksonen
PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting. SIGIR (2023)
Usman Muhammad, Mourad Oussalah, Md. Ziaul Hoque, Jorma Laaksonen
Saliency-based Video Summarization for Face Anti-spoofing. CoRR (2023)
Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Shahbaz Khan
Cross-Modulated Few-Shot Image Generation for Colorectal Tissue Classification. MICCAI (3) (2023)
Omkar Thawakar, Rao Muhammad Anwer, Jorma Laaksonen, Orly Reiner, Mubarak Shah, Fahad Shahbaz Khan
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers. MICCAI (8) (2023)
Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan
Person Image Synthesis via Denoising Diffusion Model. CVPR (2023)
Selen Pehlivan, Jorma Laaksonen
Improved action proposals using fine-grained proposal features with recurrent attention models. J. Vis. Commun. Image Represent. 90 (2023)
Tzu-Jui Julius Wang, Jorma Laaksonen, Tomas Langer, Heikki Arponen, Tom E. Bishop
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision. WACV (2023)
Usman Muhammad, Md. Ziaul Hoque, Mourad Oussalah, Jorma Laaksonen
Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing. CoRR (2023)
Selen Pehlivan, Jorma Laaksonen
Anchor-Free Action Proposal Network with Uncertainty Estimation. ICME (2023)
Omkar Thawakar, Abdelrahman Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Fahad Shahbaz Khan
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models. CoRR (2023)
Omkar Thawakar, Rao Muhammad Anwer, Jorma Laaksonen, Orly Reiner, Mubarak Shah, Fahad Shahbaz Khan
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers. CoRR (2023)
Usman Muhammad, Mourad Oussalah, Jorma Laaksonen
Semi-Supervised learning for Face Anti-Spoofing using Apex frame. CoRR (2023)
Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Shahbaz Khan
Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification. CoRR (2023)
Matti Mottus, Phu Pham, Eelis Halme, Matthieu Molinier, Hai Cu, Jorma Laaksonen
TAIGA: A Novel Dataset for Multitask Learning of Continuous and Categorical Forest Variables From Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Tamás Grósz, Noora Kallioniemi, Harri Kiiskinen, Kimmo Laine, Anssi Moisio, Tommi Römpötti, Anja Virkkunen, Hannu Salmi, Mikko Kurimo, Jorma Laaksonen
Tracing Signs of Urbanity in the Finnish Fiction Film of the 1950s: Toward a Multimodal Analysis of Audiovisual Data. DHNB (2022)
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan
Person Image Synthesis via Denoising Diffusion Model. CoRR (2022)
Jin Xie, Rao Muhammad Anwer, Hisham Cholakkal, Jing Nie, Jiale Cao, Jorma Laaksonen, Fahad Shahbaz Khan
Learning a Dynamic Cross-Modal Network for Multispectral Pedestrian Detection. ACM Multimedia (2022)
Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann, Jorma Laaksonen, Mikko Kurimo
When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and Its Intensity. COLING (2022)
Tzu-Jui Julius Wang, Jorma Laaksonen, Tomas Langer, Heikki Arponen, Tom E. Bishop
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision. CoRR (2022)
Zixin Guo, Tzu-Jui Julius Wang, Jorma Laaksonen
CLIP4IDC: CLIP for Image Difference Captioning. CoRR (2022)
Pasquale Lisena, Jorma Laaksonen, Raphaël Troncy
Understanding videos with face recognition: a complete pipeline and applications. Multim. Syst. 28 (6) (2022)
Zixin Guo, Tzu-Jui Julius Wang, Jorma Laaksonen
Post-Attention Modulator for Dense Video Captioning. ICPR (2022)
Zixin Guo, Tzu-Jui Julius Wang, Jorma Laaksonen
CLIP4IDC: CLIP for Image Difference Captioning. AACL/IJCNLP (2) (2022)
Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann, Jorma Laaksonen, Mikko Kurimo
When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and its Intensity. CoRR (2022)
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg
DoodleFormer: Creative Sketch Drawing with Transformers. ECCV (17) (2022)
Matti Mottus, Matthieu Molinier, Eelis Halme, Hai Cu, Jorma Laaksonen
Patch Size Selection for Analysis of Sub-Meter Resolution Hyperspectral Imagery of Forests. IGARSS (2021)
Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen
Compact Deep Color Features for Remote Sensing Scene Classification. Neural Process. Lett. 53 (2) (2021)
Alison Reboud, Ismail Harrando, Jorma Laaksonen, Raphaël Troncy
Exploring Multimodality, Perplexity and Explainability for Memorability Prediction. MediaEval (2021)
Sabine Braun, Kim Starr, Jaleh Delfani, Liisa Tiittula, Jorma Laaksonen, Karel Braeckman, Dieter Van Rijsselbergen, Sasha Lagrillière, Lauri Saarikoski
When Worlds Collide: AI-Created, Human-Mediated Video Description Services and the User Experience. HCI (42) (2021)
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg
DoodleFormer: Creative Sketch Drawing with Transformers. CoRR (2021)
Jorma Laaksonen, Zixin Guo
PicSOM Experiments in TRECVID 2020. TRECVID (2020)
Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris, Mohammad Hosseini
AI4TV 2020: 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery. ACM Multimedia (2020)
Tzu-Jui Julius Wang, Selen Pehlivan, Jorma Laaksonen
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models. CoRR (2020)
Ismail Harrando, Alison Reboud, Pasquale Lisena, Raphaël Troncy, Jorma Laaksonen, Anja Virkkunen, Mikko Kurimo
Using Fan-Made Content, Subtitles and Face Recognition for Character-Centric Video Summarization. TRECVID (2020)
Tzu-Jui Julius Wang, Selen Pehlivan, Jorma Laaksonen
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models. BMVC (2020)
Jussi Tarvainen, Jorma Laaksonen, Tapio Takala
Film Mood and Its Quantitative Determinants in Different Types of Scenes. IEEE Trans. Affect. Comput. 11 (2) (2020)
Tinka Valentijn, Jacopo Margutti, Marc van den Homberg, Jorma Laaksonen
Multi-Hazard and Spatial Transferability of a CNN for Automated Building Damage Assessment. Remote. Sens. 12 (17) (2020)
Alison Reboud, Ismail Harrando, Jorma Laaksonen, Raphaël Troncy
Predicting Media Memorability with Audio, Video, and Text representations. MediaEval (2020)
Alison Reboud, Ismail Harrando, Jorma Laaksonen, Danny Francis, Raphaël Troncy, Héctor Laria Mantecón
Combining Textual and Visual Modeling for Predicting Media Memorability. MediaEval (2019)
Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen
Deep Contextual Attention for Human-Object Interaction Detection. ICCV (2019)
Tzu-Jui Julius Wang, Jorma Laaksonen, Yi-Ping Liao, Bo-Zong Wu, Shih-Yun Shen
A Multi-Task Bayesian Deep Neural Net for Detecting Life-Threatening Infant Incidents From Head Images. ICIP (2019)
Héctor Laria Mantecón, Jorma Laaksonen, Danny Francis, Benoit Huet
PicSOM and EURECOM Experiments in TRECVID 2019. TRECVID (2019)
Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Nazar Zaki
Multi-stream Convolutional Networks for Indoor Scene Recognition. CAIP (1) (2019)
Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris
AI4TV 2019: 1st International Workshop on AI for Smart TV Content Production, Access and Delivery. ACM Multimedia (2019)
Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen
Deep Contextual Attention for Human-Object Interaction Detection. CoRR (2019)
Aditya Surikuchi, Jorma Laaksonen
Character-Centric Storytelling. CoRR (2019)
Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen
Scale coding bag of deep features for human attribute and action recognition. Mach. Vis. Appl. 29 (1) (2018)
Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen
Two-Stream Part-Based Deep Representation for Human Attribute Recognition. ICB (2018)
Mats Sjöberg, Hamed R. Tavakoli, Zhicun Xu, Héctor Laria Mantecón, Jorma Laaksonen
PicSOM Experiments in TRECVID 2018. TRECVID (2018)
Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Mérialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphaël Troncy, Raúl Vázquez
The MeMAD Submission to the WMT18 Multimodal Translation Task. WMT (shared task) (2018)
Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Mérialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphaël Troncy, Raúl Vázquez
The MeMAD Submission to the WMT18 Multimodal Translation Task. CoRR (2018)
Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen
Image and Video Captioning with Augmented Neural Architectures. IEEE Multim. 25 (2) (2018)
Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen
Top-Down Deep Appearance Attention for Action Recognition. SCIA (1) (2017)
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
VisualLabel: An Integrated Multimedia Content Management and Access Framework. EJC (2017)
Hamed R. Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen
Paying Attention to Descriptions Generated by Image Captioning Models. ICCV (2017)
Hamed Rezazadegan Tavakoli, Jorma Laaksonen
Prominent Object Detection and Recognition: A Saliency-based Pipeline. CoRR (2017)
Hamed Rezazadegan Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen
Can Saliency Information Benefit Image Captioning Models? CoRR (2017)
Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen
Saliency Revisited: Analysis of Mouse Movements Versus Fixations. CVPR (2017)
Julius Wang, Hamed R. Tavakoli, Jorma Laaksonen
Fixation Prediction in Videos Using Unsupervised Hierarchical Features. CVPR Workshops (2017)
Jussi Tarvainen, Jorma Laaksonen, Tapio Takala
Computational and Perceptual Determinants of Film Mood in Different Types of Scenes. ISM (2017)
Hamed Rezazadegan Tavakoli, Ali Borji, Jorma Laaksonen, Esa Rahtu
Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features. Neurocomputing 244 (2017)
Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen
TEX-Nets: Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition. ICMR (2017)
Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Matthieu Molinier, Jorma Laaksonen
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification. CoRR (2017)
Satoru Ishikawa, Jorma Laaksonen, Juha Karhunen
Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map. IJCNN (2017)
Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen
Saliency Revisited: Analysis of Mouse Movements versus Fixations. CoRR (2017)
Satoru Ishikawa, Jorma Laaksonen
Uni- and multimodal methods for single- and multi-label recognition. Multim. Tools Appl. 76 (21) (2017)
Hamed Rezazadegan Tavakoli, Jorma Laaksonen, Esa Rahtu
Investigating Natural Image Pleasantness Recognition using Deep Features and Eye Tracking for Loosely Controlled Human-computer Interaction. CoRR (2017)
Rakshith Shetty, Hamed Rezazadegan Tavakoli, Jorma Laaksonen
Exploiting Scene Context for Image Captioning. iV&L-MM@MM (2016)
Hamed Rezazadegan Tavakoli, Jorma Laaksonen
Bottom-Up Fixation Prediction Using Unsupervised Hierarchical Models. ACCV Workshops (1) (2016)
Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen
Combining Holistic and Part-based Deep Representations for Computational Painting Categorization. ICMR (2016)
Rakshith Shetty, Jorma Laaksonen
Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation. CoRR (2016)
Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen
Scale Coding Bag of Deep Features for Human Attribute and Action Recognition. CoRR (2016)
Hamed Rezazadegan Tavakoli, Ali Borji, Jorma Laaksonen, Esa Rahtu
Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features. CoRR (2016)
Mohamed Soliman, Hamed Rezazadegan Tavakoli, Jorma Laaksonen
Towards gaze-based video annotation. IPTA (2016)
Satoru Ishikawa, Jorma Laaksonen
Comparing and combining unimodal methods for multimodal recognition. CBMI (2016)
Hamed Rezazadegan Tavakoli, Hanieh Poostchi, Jaakko Peltonen, Jorma Laaksonen, Samuel Kaski
Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations. ISVC (2) (2016)
Iman Alikhani, Hamed Rezazadegan Tavakoli, Esa Rahtu, Jorma Laaksonen
On the Contribution of Saliency in Visual Tracking. VISIGRAPP (4: VISAPP) (2016)
Rakshith Shetty, Jorma Laaksonen
Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation. ACM Multimedia (2016)
Rakshith Shetty, Jorma Laaksonen
Video captioning with recurrent networks based on frame- and video-level features and visual content classification. CoRR (2015)
Satoru Ishikawa, Rao Muhammad Anwer, Markus Koskela, Jorma Laaksonen
PicSOM Experiments in TRECVID 2015. TRECVID (2015)
Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen
Compact color-texture description for texture classification. Pattern Recognit. Lett. 51 (2015)
Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen
Deep Semantic Pyramids for Human Attributes and Action Recognition. SCIA (2015)
Olli Philippe Lautenbacher, Liisa Tiittula, Maija Hirvonen, Jorma Laaksonen, Mikko Kurimo
Towards Reliable Automatic Multimodal Content Analysis. VL@EMNLP (2015)
Ville Viitaniemi, Tommi Jantunen, Leena Savolainen, Matti Karppa, Jorma Laaksonen
S-pot - a benchmark in spotting signs within continuous signing. LREC (2014)
Mats Sjöberg, Jorma Laaksonen
Using semantic features to improve large-scale visual concept detection. CBMI (2014)
Satoru Ishikawa, Markus Koskela, Mats Sjöberg, Rao Muhammad Anwer, Jorma Laaksonen, Erkki Oja
PicSOM Experiments in TRECVID 2014. TRECVID (2014)
Markus Koskela, Jorma Laaksonen
Convolutional Network Features for Scene Recognition. ACM Multimedia (2014)
Matti Karppa, Ville Viitaniemi, Marcos Luzardo, Jorma Laaksonen, Tommi Jantunen
SLMotion - An extensible sign language oriented video analysis tool. LREC (2014)
Jussi Tarvainen, Mats Sjöberg, Stina Westman, Jorma Laaksonen, Pirkko Oittinen
Content-Based Prediction of Movie Style, Aesthetics, and Affect: Data Set and Baseline Experiments. IEEE Trans. Multim. 16 (8) (2014)
Ville Viitaniemi, Matti Karppa, Jorma Laaksonen
2D Appearance Based Techniques for Tracking the Signer Configuration in Sign Language Video Recordings. ICIAR (2) (2014)
Ville Viitaniemi, Matti Karppa, Jorma Laaksonen
Experiments on Recognising the Handshape in Blobs Extracted from Sign Language Videos. ICPR (2014)
Ehsan Amid, Annamaria Mesaros, Kalle J. Palomäki, Jorma Laaksonen, Mikko Kurimo
Unsupervised feature extraction for multimedia event detection and ranking using audio content. ICASSP (2014)

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Publication Activity (10 Years)

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Jorma Laaksonen