2025
SAGE: Shape-Adapting Gated Experts for Adaptive Histopathology Image Segmentation
Gia Huy Thai*, Hoang-Nguyen Vu*, Anh-Minh Phan, Quang-Thinh Ly, Tram Dinh, Thi-Ngoc-Truc Nguyen, Nhat Ho (* equal contribution)
CVPR 2026 Findings Track
An input-adaptive framework that reconfigures static backbones into dynamically routed expert architectures for state-of-the-art histopathology image segmentation.
SAGE: Shape-Adapting Gated Experts for Adaptive Histopathology Image Segmentation
Gia Huy Thai*, Hoang-Nguyen Vu*, Anh-Minh Phan, Quang-Thinh Ly, Tram Dinh, Thi-Ngoc-Truc Nguyen, Nhat Ho (* equal contribution)
CVPR 2026 Findings Track
An input-adaptive framework that reconfigures static backbones into dynamically routed expert architectures for state-of-the-art histopathology image segmentation.
ELDER: Equivariance-preserving Downsampling for Efficient Low-Resolution Image Classification
Trong-Dai Phan, Gia Huy Thai, Minh-Huy Mai-Duc
ACMLC 2026
A systematic study of equivariance-preserving downsampling for efficient low-resolution CNN classification. Achieves 81.78% accuracy on CIFAR-10 with only 570K parameters through architectural variants that maintain spatial information.
ELDER: Equivariance-preserving Downsampling for Efficient Low-Resolution Image Classification
Trong-Dai Phan, Gia Huy Thai, Minh-Huy Mai-Duc
ACMLC 2026
A systematic study of equivariance-preserving downsampling for efficient low-resolution CNN classification. Achieves 81.78% accuracy on CIFAR-10 with only 570K parameters through architectural variants that maintain spatial information.