28 citations · 33 across the 8 of their papers we have counts for
8 papers
A Little More Like This: Text-to-Image Retrieval with Vision-Language Models Using Relevance Feedback
Bulat Khaertdinov, Mirela Popa, Nava Tintarev
Large vision-language models (VLMs) enable intuitive visual search using natural language queries. However, improving their performance often requires fine-tuning and scaling to la…
I see what you mean: Co-Speech Gestures for Reference Resolution in Multimodal Dialogue
Esam Ghaleb, Bulat Khaertdinov, Aslı Özyürek +1
In face-to-face interaction, we use multiple modalities, including speech and gestures, to communicate information and resolve references to objects. However, how representational…
Learning Co-Speech Gesture Representations in Dialogue through Contrastive Learning: An Intrinsic Evaluation
Esam Ghaleb, Bulat Khaertdinov, Wim Pouw +4
In face-to-face dialogues, the form-meaning relationship of co-speech gestures varies depending on contextual factors such as what the gestures refer to and the individual characte…
Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations
Bulat Khaertdinov, Pedro Jeuris, Annanda Sousa +1
Recent advancements in Deep and Self-Supervised Learning (SSL) have led to substantial improvements in Speech Emotion Recognition (SER) performance, reaching unprecedented levels.…
Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com
Sergei Krutikov, Bulat Khaertdinov, Rodion Kiriukhin +3
Transformer-based neural networks, empowered by Self-Supervised Learning (SSL), have demonstrated unprecedented performance across various domains. However, related literature sugg…
Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for Sensor-based Human Activity Recognition
Bulat Khaertdinov, Stylianos Asteriadis
In recent years, self-supervised learning (SSL) frameworks have been extensively applied to sensor-based Human Activity Recognition (HAR) in order to learn deep representations wit…
Temporal Feature Alignment in Contrastive Self-Supervised Learning for Human Activity Recognition
Bulat Khaertdinov, Stylianos Asteriadis
Automated Human Activity Recognition has long been a problem of great interest in human-centered and ubiquitous computing. In the last years, a plethora of supervised learning algo…
Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition
Razvan Brinzea, Bulat Khaertdinov, Stylianos Asteriadis
Human Activity Recognition is a field of research where input data can take many forms. Each of the possible input modalities describes human behaviour in a different way, and each…