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Author

Tien-Dung Mai

3 papers indexed here

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Conference Aug 2026

On the Instability of Saliency Maps under Sparse Perturbations

Understanding the reliability of model explanations remains a critical challenge in deep learning. Prior work has shown that saliency maps can be manipulated by optimizing the input using gradient-based methods, where gradients of the loss with respect to the input are computed to generate dense perturbations that alte...

Khoa Tran, Thai Huy Nguyen, Quan Minh Phan et al. · 0 citations
Conference Aug 2026

SAM-Anchored DINOv3 Soft Calibration for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation (WSSS) aims to train dense prediction models from inexpensive supervision such as image-level labels. Recent foundation models provide complementary capabilities: promptable segmentation models can produce high-coverage object masks, while self-supervised vision transformers prov...

Duc-Hien Nguyen, L. Nguyễn, X. Nguyễn et al. · 0 citations
Conference Aug 2026

SCAmodal: Reasoning Aware Amodal Completion via Semantic Geometric Dual Guidance

Amodal appearance completion in open-world scenarios requires reconstructing the hidden regions of occluded objects, a task that demands both geometric extrapolation and high-level semantic understanding. Conventional methods predominantly rely on geometric priors, often failing to maintain semantic coherence and struc...

Duy Do-Phuong, Nhan Nguyen Viet Thien, Tien-Dung Mai · 0 citations

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