144 citations · 161 across the 8 of their papers we have counts for
5 papers · 1 filter
Internal-External Boundary Attention Fusion for Glass Surface Segmentation
Dongshen Han, Seungkyu Lee, Chaoning Zhang +4
Glass surfaces of transparent objects and mirrors are not able to be uniquely and explicitly characterized by their visual appearances because they contain the visual appearance of…
Faster Segment Anything: Towards Lightweight SAM for Mobile Applications
Chaoning Zhang, Dongshen Han, Yu Qiao +4
Segment Anything Model (SAM) has attracted significant attention due to its impressive zero-shot transfer performance and high versatility for numerous vision applications (like im…
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected
Dongsheng Han, Chaoning Zhang, Yu Qiao +5
Meta AI Research has recently released SAM (Segment Anything Model) which is trained on a large segmentation dataset of over 1 billion masks. As a foundation model in the field of…
Unrealistic Feature Suppression for Generative Adversarial Networks
Sanghun Kim, SeungKyu Lee
Due to the unstable nature of minimax game between generator and discriminator, improving the performance of GANs is a challenging task. Recent studies have shown that selected hig…
Small Noisy and Perspective Face Detection using Deformable Symmetric Gabor Wavelet Network
Sherzod Salokhiddinov, Seungkyu Lee
Face detection and tracking in low resolution image is not a trivial task due to the limitation in the appearance features for face characterization. Moreover, facial expression gi…