4 citations · 5 across the 6 of their papers we have counts for
7 papers
Efficient Coarse-to-Fine Diffusion Models with Time Step Sequence Redistribution
Yu-Shan Tai, An-Yeu, Wu
Recently, diffusion models (DMs) have made significant strides in high-quality image generation. However, the multi-step denoising process often results in considerable computation…
Quick Bypass Mechanism of Zero-Shot Diffusion-Based Image Restoration
Yu-Shan Tai, An-Yeu, Wu
Recent advancements in diffusion models have demonstrated remarkable success in various image generation tasks. Building upon these achievements, diffusion models have also been ef…
MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer
Yu-Shan Tai, An-Yeu, Wu
While vision transformers (ViTs) have shown great potential in computer vision tasks, their intense computation and memory requirements pose challenges for practical applications.…
TSPTQ-ViT: Two-scaled post-training quantization for vision transformer
Yu-Shan Tai, Ming-Guang Lin, An-Yeu +1
Vision transformers (ViTs) have achieved remarkable performance in various computer vision tasks. However, intensive memory and computation requirements impede ViTs from running on…
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation
Yu-Shan Tai, Cheng-Yang Chang, Chieh-Fang Teng +2
Recently, deep convolutional neural networks (CNNs) have achieved many eye-catching results. However, deploying CNNs on resource-constrained edge devices is constrained by limited…
Compression-aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations
Yu-Shan Tai, Chieh-Fang Teng, Cheng-Yang Chang +1
Convolutional neural networks (CNNs) achieve remarkable performance in a wide range of fields. However, intensive memory access of activations introduces considerable energy consum…
A Survey Of Regression Algorithms And Connections With Deep Learning
Yunpeng Tai
Regression has attracted immense interest lately due to its effectiveness in tasks like predicting values. And Regression is of widespread use in multiple fields such as Economics,…