289 citations · 573 across the 19 of their papers we have counts for
20 papers
Semi-Supervised learning for Face Anti-Spoofing using Apex frame
Usman Muhammad, Mourad Oussalah, Jorma Laaksonen
Conventional feature extraction techniques in the face anti-spoofing domain either analyze the entire video sequence or focus on a specific segment to improve model performance. Ho…
Saliency-based Video Summarization for Face Anti-spoofing
Usman Muhammad, Mourad Oussalah, Jorma Laaksonen
With the growing availability of databases for face presentation attack detection, researchers are increasingly focusing on video-based face anti-spoofing methods that involve hund…
Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing
Usman Muhammad, Md Ziaul Hoque, Mourad Oussalah +1
Face presentation attacks (PA), also known as spoofing attacks, pose a substantial threat to biometric systems that rely on facial recognition systems, such as access control syste…
When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and its Intensity
Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann +2
Prerecorded laughter accompanying dialog in comedy TV shows encourages the audience to laugh by clearly marking humorous moments in the show. We present an approach for automatical…
CLIP4IDC: CLIP for Image Difference Captioning
Zixin Guo, Tzu-Jui Julius Wang, Jorma Laaksonen
Image Difference Captioning (IDC) aims at generating sentences to describe differences between two similar-looking images. Conventional approaches learn an IDC model with a pre-tra…
DoodleFormer: Creative Sketch Drawing with Transformers
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal +4
Creative sketching or doodling is an expressive activity, where imaginative and previously unseen depictions of everyday visual objects are drawn. Creative sketch image generation…
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models
Tzu-Jui Julius Wang, Selen Pehlivan, Jorma Laaksonen
Predicting a scene graph that captures visual entities and their interactions in an image has been considered a crucial step towards full scene comprehension. Recent scene graph ge…
Deep Contextual Attention for Human-Object Interaction Detection
Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan +4
Human-object interaction detection is an important and relatively new class of visual relationship detection tasks, essential for deeper scene understanding. Most existing approach…
Character-Centric Storytelling
Aditya Surikuchi, Jorma Laaksonen
Sequential vision-to-language or visual storytelling has recently been one of the areas of focus in computer vision and language modeling domains. Though existing models generate n…
The MeMAD Submission to the WMT18 Multimodal Translation Task
Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo +8
This paper describes the MeMAD project entry to the WMT Multimodal Machine Translation Shared Task. We propose adapting the Transformer neural machine translation (NMT) architectur…
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification
Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer +2
Designing discriminative powerful texture features robust to realistic imaging conditions is a challenging computer vision problem with many applications, including material recogn…
Saliency Revisited: Analysis of Mouse Movements versus Fixations
Hamed R. Tavakoli, Fawad Ahmed, Ali Borji +1
This paper revisits visual saliency prediction by evaluating the recent advancements in this field such as crowd-sourced mouse tracking-based databases and contextual annotations.…
Investigating Natural Image Pleasantness Recognition using Deep Features and Eye Tracking for Loosely Controlled Human-computer Interaction
Hamed R. Tavakoli, Jorma Laaksonen, Esa Rahtu
This paper revisits recognition of natural image pleasantness by employing deep convolutional neural networks and affordable eye trackers. There exist several approaches to recogni…
Paying Attention to Descriptions Generated by Image Captioning Models
Hamed R. Tavakoli, Rakshith Shetty, Ali Borji +1
To bridge the gap between humans and machines in image understanding and describing, we need further insight into how people describe a perceived scene. In this paper, we study the…
Towards Instance Segmentation with Object Priority: Prominent Object Detection and Recognition
Hamed R. Tavakoli, Jorma Laaksonen
This manuscript introduces the problem of prominent object detection and recognition inspired by the fact that human seems to priorities perception of scene elements. The problem d…
Scale Coding Bag of Deep Features for Human Attribute and Action Recognition
Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer +3
Most approaches to human attribute and action recognition in still images are based on image representation in which multi-scale local features are pooled across scale into a singl…
Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features
Hamed R. -Tavakoli, Ali Borji, Jorma Laaksonen +1
This paper presents a novel fixation prediction and saliency modeling framework based on inter-image similarities and ensemble of Extreme Learning Machines (ELM). The proposed fram…
Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation
Rakshith Shetty, Jorma Laaksonen
We present our submission to the Microsoft Video to Language Challenge of generating short captions describing videos in the challenge dataset. Our model is based on the encoder--d…
Video captioning with recurrent networks based on frame- and video-level features and visual content classification
Rakshith Shetty, Jorma Laaksonen
In this paper, we describe the system for generating textual descriptions of short video clips using recurrent neural networks (RNN), which we used while participating in the Large…
PinView: Implicit Feedback in Content-Based Image Retrieval
Zakria Hussain, Arto Klami, Jussi Kujala +6
This paper describes PinView, a content-based image retrieval system that exploits implicit relevance feedback collected during a search session. PinView contains several novel met…