activity
20222025
most citedTemporal Feature Alignment in Contrastive Self-Supervised Learning for Human Activity Recognition

1 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2025

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…

cs.CV2025

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…

cs.CV20241 cited

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…

cs.CL2024

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.…

cs.LG2024

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…

cs.CV20221 cited

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…