Malware family classification is an important cybersecurity task, but designing models that are both accurate and compact remains challenging due to malware obfuscation and computational constraints. This paper investigates efficient malware image classification by jointly considering byte-to-image representation, teac...
Minh-Quan Duong, T. Trần, Kieu-Oanh Nguyen-Ngoc et al.· International Conference on...· 0 citations
Recent advances in 3D content generation have demonstrated the effectiveness of optimization-based frameworks such as DreamGaussian, which combine 3D Gaussian Splatting (3DGS) with diffusion-guided Score Distillation Sampling (SDS) to efficiently synthesize 3D assets from a single image. Compared with earlier NeRF-base...
Current object detection models face significant challenges when applied to ultra-high-resolution images, as global downscaling frequently destroys crucial details for small objects, while EGC wastes computation on irrelevant regions and causes object truncation at tile boundaries. We propose a two-step reasoning archi...
Gia-Phuc Song-Dong, Anh-Kiet Tran-Nhu, Minh-Triet Tran et al.· International Conference on...· 0 citations
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