Mihai Bâce

About Mihai Bâce

Mihai Bâce, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Universität Stuttgart, specializes in the field of Human-Computer Interaction, Computational Interaction, Eye Tracking, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360 {\deg} Images

SeFFeC: Semantic Facial Feature Control for Fine-grained Face Editing

Learning User Embeddings from Human Gaze for Personalised Saliency Prediction

PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure Multi-Party Computation

Saliency3D: A 3D Saliency Dataset Collected on Screen

VisRecall++: Analysing and Predicting Visualisation Recallability from Gaze Behaviour

Mouse2Vec: Learning Reusable Semantic Representations of Mouse Behaviour

Usable and fast interactive mental face reconstruction

Mihai Bâce Information

University

Position

Human-Computer Interaction and Cognitive Systems

Citations(all)

202

Citations(since 2020)

156

Cited By

73

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Mihai Bâce Skills & Research Interests

Human-Computer Interaction

Computational Interaction

Eye Tracking

Machine Learning

Top articles of Mihai Bâce

DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360 {\deg} Images

arXiv preprint arXiv:2403.17477

2024/3/26

SeFFeC: Semantic Facial Feature Control for Fine-grained Face Editing

arXiv preprint arXiv:2403.13972

2024/3/20

Learning User Embeddings from Human Gaze for Personalised Saliency Prediction

Proc. ACM on Human-Computer Interaction (PACM HCI)

2024/3/20

PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure Multi-Party Computation

arXiv preprint arXiv:2402.18970

2024/2/29

Saliency3D: A 3D Saliency Dataset Collected on Screen

2024

VisRecall++: Analysing and Predicting Visualisation Recallability from Gaze Behaviour

Proc. ACM on Human-Computer Interaction (PACM HCI)

2024

Mouse2Vec: Learning Reusable Semantic Representations of Mouse Behaviour

2024

Usable and fast interactive mental face reconstruction

2023/10/29

SUPREYES: SUPer Resolutin for EYES Using Implicit Neural Representation Learning

2023/10/29

Mihai Bâce
Mihai Bâce

H-Index: 5

Andreas Bulling
Andreas Bulling

H-Index: 45

Exploring Natural Language Processing Methods for Interactive Behaviour Modelling

2023/3/28

Scanpath Prediction on Information Visualisations

IEEE Transactions on Visualization and Computer Graphics

2023/2/6

Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning

arXiv preprint arXiv:2306.11483

2023/6/20

Multimodal integration of human-like attention in visual question answering

2023

Neuro-Symbolic Visual Dialog

arXiv preprint arXiv:2208.10353

2022/8/22

Mihai Bâce
Mihai Bâce

H-Index: 5

Andreas Bulling
Andreas Bulling

H-Index: 45

VisRecall: Quantifying information visualisation recallability via question answering

IEEE Transactions on Visualization and Computer Graphics

2022/8/11

Impact of gaze uncertainty on aois in information visualisations

2022/6/8

Designing for noticeability: Understanding the impact of visual importance on desktop notifications

2022/4/29

Facial Composite Generation with Iterative Human Feedback

2022

PrivacyScout: Assessing vulnerability to shoulder surfing on mobile devices

2022

Predicting Next Actions and Latent Intents during Text Formatting

Proceedings of the CHI Workshop Computational Approaches for Understanding, Generating, and Adapting User Interfaces. University of Stuttgart, Stuttgart, Germany

2022

See List of Professors in Mihai Bâce University(Universität Stuttgart)

Co-Authors

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