4 papers
Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling
Hui Yeok Wong, Chee Kau Lim, Chee Seng Chan
Federated Learning (FL) on non-independently and identically distributed (non-IID) data remains a critical challenge, as existing approaches struggle with severe data heterogeneity…
Chirpy3D: Part-Aware Multi-View Diffusion for Creative Fine-Grained Object Generation
Kam Woh Ng, Jing Yang, Jia Wei Sii +5
Understanding and generating the fine-grained structure of objects -- such as birds with species-specific beaks, wings, and tails -- is a long-standing challenge in computer vision…
Protégé: Learn and Generate Basic Makeup Styles with Generative Adversarial Networks (GANs)
Jia Wei Sii, Chee Seng Chan
Makeup is no longer confined to physical application; people now use mobile apps to digitally apply makeup to their photos, which they then share on social media. However, while th…
Text in the Dark: Extremely Low-Light Text Image Enhancement
Che-Tsung Lin, Chun Chet Ng, Zhi Qin Tan +7
Extremely low-light text images are common in natural scenes, making scene text detection and recognition challenging. One solution is to enhance these images using low-light image…