STIL Lab

3D representation/reconstruction/ generation, neural rendering, etc.

deformable registration, data imputation, etc.

robustness, uncertainty estimation, bias, etc.

[Apr. 2026] Our paper on Bias Alleviation through Network Pruning has been accepted to IEEE   Trans. on Image Processing (TIP). 

[Apr. 2026] Our paper on Distributionally Robust Unsupervised Neural Reconstruction has been accepted to CVPR workshop 2026. 

[Feb. 2026] Prof. Shin visited MBZUAI as a Visiting Scholar  and delivered a talk on “Learning What Matters: Reliability-Aware 3D Vision”.