Institution profile

Cyprus University of Technology

Academic institutioneurope · cy
Official website
Research library9linked papers
Opportunities0open roles
Selected work

Representative Papers

Temporal connection probabilities in real networks

Apr 26, 2026

This study addresses the problem of predicting both the timing and location of link formation in complex networks. It proposes a closed-form, non-Markovian model that integrates latent hyperbolic geometry with long-range memory of historical interactions, thereby unifying geometric structure and memory effects within a single framework for the first time. The resulting approach features few parameters and strong interpretability, offering a principled method for temporal link prediction. By modeling network dynamics through a non-Markovian process and deriving probabilistic predictions, the model achieves excellent agreement with empirical connection probabilities across multiple large-scale real-world networks. These results reveal that network evolution is fundamentally governed by the interplay between geometric constraints and memory-driven mechanisms.

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Gaze Prediction in Virtual Reality Without Eye Tracking Using Visual and Head Motion Cues

Jan 26, 2026

This work proposes a lightweight multimodal approach to accurately predict user gaze direction in virtual reality scenarios where eye-tracking hardware is unavailable or restricted by privacy constraints—a critical capability for techniques such as foveated rendering. The method uniquely integrates head-mounted display (HMD) motion signals with visual saliency cues from video frames by leveraging UniSal for visual feature extraction and combining TSMixer with LSTM to construct a temporal prediction module. Experiments on the EHTask dataset and commercial VR devices demonstrate that the proposed approach significantly outperforms baseline methods such as Center-of-HMD and Mean Gaze, achieving high prediction accuracy, low latency, and practical deployability without requiring eye-tracking data, thereby enhancing the naturalness and efficiency of VR interactions.

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Recent publications

Latest Papers

Temporal connection probabilities in real networks

Apr 26, 2026

This study addresses the problem of predicting both the timing and location of link formation in complex networks. It proposes a closed-form, non-Markovian model that integrates latent hyperbolic geometry with long-range memory of historical interactions, thereby unifying geometric structure and memory effects within a single framework for the first time. The resulting approach features few parameters and strong interpretability, offering a principled method for temporal link prediction. By modeling network dynamics through a non-Markovian process and deriving probabilistic predictions, the model achieves excellent agreement with empirical connection probabilities across multiple large-scale real-world networks. These results reveal that network evolution is fundamentally governed by the interplay between geometric constraints and memory-driven mechanisms.

0 citationsRead paper

Gaze Prediction in Virtual Reality Without Eye Tracking Using Visual and Head Motion Cues

Jan 26, 2026

This work proposes a lightweight multimodal approach to accurately predict user gaze direction in virtual reality scenarios where eye-tracking hardware is unavailable or restricted by privacy constraints—a critical capability for techniques such as foveated rendering. The method uniquely integrates head-mounted display (HMD) motion signals with visual saliency cues from video frames by leveraging UniSal for visual feature extraction and combining TSMixer with LSTM to construct a temporal prediction module. Experiments on the EHTask dataset and commercial VR devices demonstrate that the proposed approach significantly outperforms baseline methods such as Center-of-HMD and Mean Gaze, achieving high prediction accuracy, low latency, and practical deployability without requiring eye-tracking data, thereby enhancing the naturalness and efficiency of VR interactions.

0 citationsRead paper