Search Results for author: Zeyu Liu

Found 10 papers, 1 papers with code

In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision

no code implementations21 Dec 2022 Gourav Datta, Zeyu Liu, Md Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel

Although the overhead for the first layer MACs with direct encoding is negligible for deep SNNs and the CV processing is efficient using SNNs, the data transfer between the image sensors and the downstream processing costs significant bandwidth and may dominate the total energy.

Total Energy

Hoyer regularizer is all you need for ultra low-latency spiking neural networks

no code implementations20 Dec 2022 Gourav Datta, Zeyu Liu, Peter A. Beerel

Spiking Neural networks (SNN) have emerged as an attractive spatio-temporal computing paradigm for a wide range of low-power vision tasks.

object-detection Object Detection

Enabling ISP-less Low-Power Computer Vision

no code implementations11 Oct 2022 Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R. Jaiswal, Peter A. Beerel

However, direct inference on the raw images degrades the test accuracy due to the difference in covariance of the raw images captured by the image sensors compared to the ISP-processed images used for training.

Demosaicking Few-Shot Learning

A multi view multi stage and multi window framework for pulmonary artery segmentation from CT scans

no code implementations8 Sep 2022 Zeyu Liu, Yi Wang, Jing Wen, Yong Zhang, Hao Yin, Chao Guo, Zhongyu Wang

In addition, in order to improve the segmentation performance, we adopt multi-view and multi-window level method, at the same time we employ a fine-tune strategy to mitigate the impact of inconsistent labeling.

Risk Assessment with Generic Energy Storage under Exogenous and Endogenous Uncertainty

no code implementations26 Mar 2022 Ning Qi, Lin Cheng, Yuxiang Wan, Yingrui Zhuang, Zeyu Liu

Current risk assessment ignores the stochastic nature of energy storage availability itself and thus lead to potential risk during operation.

StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation

1 code implementation ICCV 2021 Boying Li, Yuan Huang, Zeyu Liu, Danping Zou, Wenxian Yu

Inspired by the early works on indoor modeling, we leverage the structural regularities exhibited in indoor scenes, to train a better depth network.

Monocular Depth Estimation

Every Corporation Owns Its Image: Corporate Credit Ratings via Convolutional Neural Networks

no code implementations3 Dec 2020 Bojing Feng, Wenfang Xue, Bindang Xue, Zeyu Liu

Credit rating is an analysis of the credit risks associated with a corporation, which reflect the level of the riskiness and reliability in investing.

BIG-bench Machine Learning

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