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Yu-Hsin Chen

2 accepted papers

2022

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation

CVPR 2022poster

Vision Transformers (ViTs) have emerged with superior performance on computer vision tasks compared to convolutional neural network (CNN)-based models. However, ViTs are mainly designed for image classification that generate single-scale low-resolution representations, which makes dense prediction t…

Cited by 274PDFcodeScholar
2017

Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning

CVPR 2017poster

Deep convolutional neural networks (CNNs) are indispensable to state-of-the-art computer vision algorithms. However, they are still rarely deployed on battery-powered mobile devices, such as smartphones and wearable gadgets, where vision algorithms can enable many revolutionary real-world applicatio…

Cited by 1106PDFScholar