Authors are listed in the original publication order; my name is underlined. * indicates equal contribution. You can also browse my work on my Google Scholar profile.
Y. Y. Tiruneh, S. Baek
European Conference on Computer Vision (ECCV) — under review, 2026
Visibility-aware 3D Gaussian avatar framework that reconstructs animatable avatars from monocular video across full-body, upper-body, and head-only inputs within a single pipeline.
MD K. C. Sayem*, M. T. Chowdhury*, Y. Y. Tiruneh, M. A. Khan, M. S. Ali, B. Bhattarai, S. Baek
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
A 1.6M-scale benchmark derived deterministically from 3D hand pose annotations to diagnose spatial reasoning failures in vision–language models.
U. Jeong, Y. Y. Tiruneh, H. J. Chang, S. Baek, K. I. Kim
CVPR 2026 Findings, 2026
Text-conditioned generative framework for producing physically plausible hand–object mesh interactions.
E. Ismayilzada*, MD K. C. Sayem*, Y. Y. Tiruneh, M. T. Chowdhury, M. Boboev, S. Baek
AAAI Conference on Artificial Intelligence (AAAI), 2025
A query-optimized transformer achieving real-time 3D two-hand manipulation understanding (53.5 FPS) with state-of-the-art accuracy on H2O and FPHA.
J. Kim, H. Cho, J. Kim, Y. Y. Tiruneh, S. Baek
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) — Highlight, 2024
Stable-Diffusion-based generative replay strategy for class-incremental object detection. CVPR 2024 Highlight (top 2.8%).
J. Kim, S. Hong, C. Kim, J. Kim, Y. Y. Tiruneh, J. On, J. Song, S. Choi, S. Baek
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
Class-wise buffer management strategy that addresses data imbalance in continual object detection.
J. Kim, S. Hong, C. Kim, J. Kim, J. On, Y. Y. Tiruneh, J. Song, S. Choi, S. Baek
IEIE Summer Conference 2023, 2023
Workshop paper on strategies for reducing data imbalance in object detection. IEIE Summer Conference 2023.