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Jorma Laaksonen
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2020 – today
- 2025
- [j38]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. Int. J. Comput. Vis. 133(1): 398-409 (2025) - 2024
- [j37]Usman Muhammad
, Jorma Laaksonen, Djamila Romaissa Beddiar, Mourad Oussalah:
Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection. Int. J. Comput. Vis. 132(12): 5759-5782 (2024) - [j36]Abduljalil Radman
, Jorma Laaksonen
:
AS-Net: active speaker detection using deep audio-visual attention. Multim. Tools Appl. 83(28): 72027-72042 (2024) - [j35]Selen Pehlivan, Jorma Laaksonen
:
Temporal teacher with masked transformers for semi-supervised action proposal generation. Mach. Vis. Appl. 35(3): 36 (2024) - [j34]Usman Muhammad, Mourad Oussalah
, Jorma Laaksonen:
Saliency-based video summarization for face anti-spoofing. Pattern Recognit. Lett. 185: 190-196 (2024) - [c162]Jaakko Kainulainen, Zixin Guo
, Jorma Laaksonen
:
Diffusion-Based Multimodal Video Captioning. ACCV (3) 2024: 148-165 - [c161]Omkar Chakradhar Thawakar, Abdelrahman M. Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Fahad Khan:
XrayGPT: Chest Radiographs Summarization using Large Medical Vision-Language Models. BioNLP@ACL 2024: 440-448 - [c160]Pranav Arora, Selen Pehlivan, Jorma Laaksonen:
Text-to-Multimodal Retrieval with Bimodal Input Fusion in Shared Cross-Modal Transformer. LREC/COLING 2024: 15823-15834 - [c159]Hans Tiwari
, Selen Pehlivan
, Jorma Laaksonen
:
Size-Modulated Deformable Attention in Spatio-Temporal Video Grounding Pipelines. ICPR (18) 2024: 308-324 - [c158]Yuvrajsinh Chudasama, Usman Muhammad, Ville Mayra, Florent Guiotte, Jorma Laaksonen:
A Comparison of Hyperspectral Super-Resolution Techniques for Boreal Forest Imagery. IGARSS 2024: 1226-1230 - [c157]Florent Guiotte, Joel Kostensalo, Jorma Laaksonen:
Mesh Surface And Morphological Hierarchies For Individual Tree Detection And Segmentation From LiDAR Data. IGARSS 2024: 8650-8654 - [c156]Abduljalil Radman, Jorma Laaksonen:
AV-PEA: Parameter-Efficient Adapter for Audio-Visual Multimodal Learning. VISIGRAPP (2): VISAPP 2024: 730-737 - [i30]Peng Zheng, Dehong Gao, Deng-Ping Fan, Li Liu, Jorma Laaksonen, Wanli Ouyang, Nicu Sebe:
Bilateral Reference for High-Resolution Dichotomous Image Segmentation. CoRR abs/2401.03407 (2024) - [i29]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:
CAMEL-Bench: A Comprehensive Arabic LMM Benchmark. CoRR abs/2410.18976 (2024) - [i28]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 Xavier, Amit Bhatkal, Hawau Toyin, Aman Chadha, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Jorma Laaksonen, Thamar Solorio, Monojit Choudhury, Ivan Laptev, Mubarak Shah, Salman Khan, Fahad Khan:
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. CoRR abs/2411.16508 (2024) - 2023
- [j33]Selen Pehlivan
, Jorma Laaksonen
:
Improved action proposals using fine-grained proposal features with recurrent attention models. J. Vis. Commun. Image Represent. 90: 103709 (2023) - [c155]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: 5968-5976 - [c154]Selen Pehlivan, Jorma Laaksonen
:
Anchor-Free Action Proposal Network with Uncertainty Estimation. ICME 2023: 1853-1858 - [c153]Usman Muhammad
, Md. Ziaul Hoque, Mourad Oussalah, Jorma Laaksonen
:
Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing. IPTA 2023: 1-6 - [c152]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: 128-137 - [c151]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: 613-623 - [c150]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: 2261-2265 - [c149]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: 1073-1083 - [i27]Omkar Thawakar, Rao Muhammad Anwer, Jorma Laaksonen, Orly Reiner, Mubarak Shah, Fahad Shahbaz Khan:
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers. CoRR abs/2303.12073 (2023) - [i26]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 abs/2304.01200 (2023) - [i25]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 abs/2304.01992 (2023) - [i24]Omkar Thawakar, Abdelrahman M. 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 abs/2306.07971 (2023) - [i23]Usman Muhammad, Md. Ziaul Hoque, Mourad Oussalah, Jorma Laaksonen:
Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing. CoRR abs/2307.02858 (2023) - [i22]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 abs/2307.07341 (2023) - [i21]Usman Muhammad, Mourad Oussalah, Md. Ziaul Hoque, Jorma Laaksonen:
Saliency-based Video Summarization for Face Anti-spoofing. CoRR abs/2308.12364 (2023) - [i20]Usman Muhammad, Mourad Oussalah, Jorma Laaksonen:
Semi-Supervised learning for Face Anti-Spoofing using Apex frame. CoRR abs/2309.04958 (2023) - 2022
- [j32]Pasquale Lisena
, Jorma Laaksonen
, Raphaël Troncy:
Understanding videos with face recognition: a complete pipeline and applications. Multim. Syst. 28(6): 2147-2159 (2022) - [j31]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: 1-11 (2022) - [c148]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: 6875-6886 - [c147]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: 63-78 - [c146]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: 338-355 - [c145]Zixin Guo
, Tzu-Jui Julius Wang, Jorma Laaksonen
:
Post-Attention Modulator for Dense Video Captioning. ICPR 2022: 1536-1542 - [c144]Zixin Guo, Tzu-Jui Julius Wang, Jorma Laaksonen:
CLIP4IDC: CLIP for Image Difference Captioning. AACL/IJCNLP (2) 2022: 33-42 - [c143]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: 4043-4052 - [i19]Zixin Guo, Tzu-Jui Julius Wang, Jorma Laaksonen:
CLIP4IDC: CLIP for Image Difference Captioning. CoRR abs/2206.00629 (2022) - [i18]Tzu-Jui Julius Wang, Jorma Laaksonen, Tomas Langer, Heikki Arponen, Tom E. Bishop:
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision. CoRR abs/2210.13591 (2022) - [i17]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 abs/2211.01889 (2022) - [i16]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 abs/2211.12500 (2022) - 2021
- [j30]Rao Muhammad Anwer
, Fahad Shahbaz Khan, Jorma Laaksonen
:
Compact Deep Color Features for Remote Sensing Scene Classification. Neural Process. Lett. 53(2): 1523-1544 (2021) - [c142]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: 147-167 - [c141]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: 2035-2038 - [c140]Alison Reboud, Ismail Harrando, Jorma Laaksonen, Raphaël Troncy:
Exploring Multimodality, Perplexity and Explainability for Memorability Prediction. MediaEval 2021 - [i15]Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg:
DoodleFormer: Creative Sketch Drawing with Transformers. CoRR abs/2112.03258 (2021) - 2020
- [j29]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): 2839 (2020) - [j28]Jussi Tarvainen
, Jorma Laaksonen
, Tapio Takala
:
Film Mood and Its Quantitative Determinants in Different Types of Scenes. IEEE Trans. Affect. Comput. 11(2): 313-326 (2020) - [c139]Tzu-Jui Julius Wang, Selen Pehlivan, Jorma Laaksonen:
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models. BMVC 2020 - [c138]Alison Reboud, Ismail Harrando, Jorma Laaksonen, Raphaël Troncy:
Predicting Media Memorability with Audio, Video, and Text representations. MediaEval 2020 - [c137]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: 4756-4757 - [c136]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 - [c135]Jorma Laaksonen, Zixin Guo:
PicSOM Experiments in TRECVID 2020. TRECVID 2020 - [e3]Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris, Mohammad Hosseini:
AI4TV '20: Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery, Seattle, WA, USA, October 2, 2020. ACM 2020, ISBN 978-1-4503-8146-8 [contents] - [i14]Tzu-Jui Julius Wang, Selen Pehlivan, Jorma Laaksonen:
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models. CoRR abs/2008.07832 (2020)
2010 – 2019
- 2019
- [c134]Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen
, Nazar Zaki:
Multi-stream Convolutional Networks for Indoor Scene Recognition. CAIP (1) 2019: 196-208 - [c133]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: 5693-5701 - [c132]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: 3006-3010 - [c131]Alison Reboud, Ismail Harrando, Jorma Laaksonen, Danny Francis, Raphaël Troncy, Héctor Laria Mantecón:
Combining Textual and Visual Modeling for Predicting Media Memorability. MediaEval 2019 - [c130]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: 2716-2717 - [c129]Héctor Laria Mantecón, Jorma Laaksonen, Danny Francis, Benoit Huet:
PicSOM and EURECOM Experiments in TRECVID 2019. TRECVID 2019 - [e2]Raphaël Troncy, Jorma Laaksonen, Hamed R. Tavakoli, Lyndon J. B. Nixon, Vasileios Mezaris:
Proceedings of the 1st International Workshop on AI for Smart TV Content Production, Access and Delivery, AI4TV@MM 2019, Nice, France, October 21, 2019. ACM 2019, ISBN 978-1-4503-6917-6 [contents] - [i13]Aditya Surikuchi, Jorma Laaksonen:
Character-Centric Storytelling. CoRR abs/1909.07863 (2019) - [i12]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 abs/1910.07721 (2019) - 2018
- [j27]Rakshith Shetty, Hamed Rezazadegan Tavakoli
, Jorma Laaksonen
:
Image and Video Captioning with Augmented Neural Architectures. IEEE Multim. 25(2): 34-46 (2018) - [j26]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): 55-71 (2018) - [c128]Rao Muhammad Anwer, Fahad Shahbaz Khan
, Jorma Laaksonen
:
Two-Stream Part-Based Deep Representation for Human Attribute Recognition. ICB 2018: 90-97 - [c127]Mats Sjöberg, Hamed R. Tavakoli, Zhicun Xu, Héctor Laria Mantecón, Jorma Laaksonen:
PicSOM Experiments in TRECVID 2018. TRECVID 2018 - [c126]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: 603-611 - [i11]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 abs/1808.10802 (2018) - 2017
- [j25]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: 10-18 (2017) - [j24]Satoru Ishikawa, Jorma Laaksonen
:
Uni- and multimodal methods for single- and multi-label recognition. Multim. Tools Appl. 76(21): 22405-22423 (2017) - [c125]Julius Wang, Hamed R. Tavakoli
, Jorma Laaksonen
:
Fixation Prediction in Videos Using Unsupervised Hierarchical Features. CVPR Workshops 2017: 2225-2232 - [c124]Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen
:
Saliency Revisited: Analysis of Mouse Movements Versus Fixations. CVPR 2017: 6354-6362 - [c123]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: 321-342 - [c122]Hamed R. Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen
:
Paying Attention to Descriptions Generated by Image Captioning Models. ICCV 2017: 2506-2515 - [c121]Satoru Ishikawa, Jorma Laaksonen
, Juha Karhunen:
Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map. IJCNN 2017: 1305-1312 - [c120]Jussi Tarvainen, Jorma Laaksonen
, Tapio Takala
:
Computational and Perceptual Determinants of Film Mood in Different Types of Scenes. ISM 2017: 185-192 - [c119]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: 125-132 - [c118]Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer
, Jorma Laaksonen
:
Top-Down Deep Appearance Attention for Action Recognition. SCIA (1) 2017: 297-309 - [i10]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 abs/1704.02218 (2017) - [i9]Hamed Rezazadegan Tavakoli, Jorma Laaksonen:
Prominent Object Detection and Recognition: A Saliency-based Pipeline. CoRR abs/1704.07402 (2017) - [i8]Hamed Rezazadegan Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen:
Can Saliency Information Benefit Image Captioning Models? CoRR abs/1704.07434 (2017) - [i7]Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen:
Saliency Revisited: Analysis of Mouse Movements versus Fixations. CoRR abs/1705.10546 (2017) - [i6]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 abs/1706.01171 (2017) - 2016
- [c117]Hamed Rezazadegan Tavakoli
, Jorma Laaksonen
:
Bottom-Up Fixation Prediction Using Unsupervised Hierarchical Models. ACCV Workshops (1) 2016: 287-302 - [c116]Satoru Ishikawa, Jorma Laaksonen
:
Comparing and combining unimodal methods for multimodal recognition. CBMI 2016: 1-6 - [c115]Mohamed Soliman, Hamed Rezazadegan Tavakoli
, Jorma Laaksonen
:
Towards gaze-based video annotation. IPTA 2016: 1-5 - [c114]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: 576-585 - [c113]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: 339-342 - [c112]Rakshith Shetty
, Hamed Rezazadegan Tavakoli
, Jorma Laaksonen
:
Exploiting Scene Context for Image Captioning. iV&L-MM@MM 2016: 1-8 - [c111]Rakshith Shetty
, Jorma Laaksonen
:
Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation. ACM Multimedia 2016: 1073-1076 - [c110]Iman Alikhani, Hamed Rezazadegan Tavakoli, Esa Rahtu, Jorma Laaksonen
:
On the Contribution of Saliency in Visual Tracking. VISIGRAPP (4: VISAPP) 2016: 17-21 - [i5]Rakshith Shetty, Jorma Laaksonen:
Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation. CoRR abs/1608.04959 (2016) - [i4]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 abs/1610.06449 (2016) - [i3]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 abs/1612.04884 (2016) - 2015
- [j23]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: 16-22 (2015) - [c109]Olli Philippe Lautenbacher
, Liisa Tiittula
, Maija Hirvonen
, Jorma Laaksonen
, Mikko Kurimo:
Towards Reliable Automatic Multimodal Content Analysis. VL@EMNLP 2015: 6-7 - [c108]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: 341-353 - [c107]Satoru Ishikawa, Rao Muhammad Anwer, Markus Koskela, Jorma Laaksonen:
PicSOM Experiments in TRECVID 2015. TRECVID 2015 - [i2]Rakshith Shetty, Jorma Laaksonen:
Video captioning with recurrent networks based on frame- and video-level features and visual content classification. CoRR abs/1512.02949 (2015) - 2014
- [j22]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): 2085-2098 (2014) - [c106]Mats Sjöberg
, Jorma Laaksonen
:
Using semantic features to improve large-scale visual concept detection. CBMI 2014: 1-6 - [c105]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: 5939-5943 - [c104]Ville Viitaniemi, Matti Karppa, Jorma Laaksonen:
2D Appearance Based Techniques for Tracking the Signer Configuration in Sign Language Video Recordings. ICIAR (2) 2014: 29-38 - [c103]Ville Viitaniemi, Matti Karppa, Jorma Laaksonen
:
Experiments on Recognising the Handshape in Blobs Extracted from Sign Language Videos. ICPR 2014: 2584-2589 - [c102]Matti Karppa, Ville Viitaniemi, Marcos Luzardo, Jorma Laaksonen, Tommi Jantunen:
SLMotion - An extensible sign language oriented video analysis tool. LREC 2014: 1886-1891 - [c101]Ville Viitaniemi, Tommi Jantunen, Leena Savolainen, Matti Karppa, Jorma Laaksonen:
S-pot - a benchmark in spotting signs within continuous signing. LREC 2014: 1892-1897 - [c100]Markus Koskela, Jorma Laaksonen
:
Convolutional Network Features for Scene Recognition. ACM Multimedia 2014: 1169-1172 - [c99]Satoru Ishikawa, Markus Koskela, Mats Sjöberg, Rao Muhammad Anwer, Jorma Laaksonen, Erkki Oja:
PicSOM Experiments in TRECVID 2014. TRECVID 2014 - [i1]Zakria Hussain, Arto Klami, Jussi Kujala, Alex Po Leung, Kitsuchart Pasupa
, Peter Auer, Samuel Kaski, Jorma Laaksonen, John Shawe-Taylor:
PinView: Implicit Feedback in Content-Based Image Retrieval. CoRR abs/1410.0471 (2014) - 2013
- [c98]Antti Ajanki, Markus Koskela, Jorma Laaksonen
, Samuel Kaski:
Adaptive timeline interface to personal history data. ICMI 2013: 229-236 - [c97]He Zhang, Zhirong Yang
, Mehmet Gönen
, Markus Koskela, Jorma Laaksonen
, Timo Honkela, Erkki Oja:
Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning. ICONIP (3) 2013: 166-175 - [c96]Mats Sjöberg
, Markus Koskela, Satoru Ishikawa, Jorma Laaksonen
:
Large-scale visual concept detection with explicit kernel maps and power mean SVM. ICMR 2013: 239-246 - [c95]