Search Results for author: Jui-Hsin Lai

Found 6 papers, 0 papers with code

NISP: Pruning Networks using Neuron Importance Score Propagation

no code implementations CVPR 2018 Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, Larry S. Davis

In contrast, we argue that it is essential to prune neurons in the entire neuron network jointly based on a unified goal: minimizing the reconstruction error of important responses in the "final response layer" (FRL), which is the second-to-last layer before classification, for a pruned network to retrain its predictive power.

Network Pruning

Theme-Matters: Fashion Compatibility Learning via Theme Attention

no code implementations12 Dec 2019 Jui-Hsin Lai, Bo Wu, Xin Wang, Dan Zeng, Tao Mei, Jingen Liu

This model associates themes with the pairwise compatibility with attention, and thus compute the outfit-wise compatibility.

Fashion Compatibility Learning

MultiEarth 2022 -- The Champion Solution for the Matrix Completion Challenge via Multimodal Regression and Generation

no code implementations17 Jun 2022 Bo Peng, Hongchen Liu, Hang Zhou, Yuchuan Gou, Jui-Hsin Lai

Earth observation satellites have been continuously monitoring the earth environment for years at different locations and spectral bands with different modalities.

Earth Observation Matrix Completion +2

MultiEarth 2022 -- The Champion Solution for Image-to-Image Translation Challenge via Generation Models

no code implementations17 Jun 2022 Yuchuan Gou, Bo Peng, Hongchen Liu, Hang Zhou, Jui-Hsin Lai

The MultiEarth 2022 Image-to-Image Translation challenge provides a well-constrained test bed for generating the corresponding RGB Sentinel-2 imagery with the given Sentinel-1 VV & VH imagery.

Image-to-Image Translation Translation

Agriculture-Vision Challenge 2022 -- The Runner-Up Solution for Agricultural Pattern Recognition via Transformer-based Models

no code implementations23 Jun 2022 Zhicheng Yang, Jui-Hsin Lai, Jun Zhou, Hang Zhou, Chen Du, Zhongcheng Lai

The Agriculture-Vision Challenge in CVPR is one of the most famous and competitive challenges for global researchers to break the boundary between computer vision and agriculture sectors, aiming at agricultural pattern recognition from aerial images.

Data Augmentation

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