Search Results for author: Chao-Tsung Huang

Found 5 papers, 0 papers with code

RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging

no code implementations19 Apr 2021 Chao-Tsung Huang

On top of that, we further devise a novel ring algebra which minimizes complexity with component-wise product and achieves the best quality using directional ReLU.

Denoising Super-Resolution

eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference

no code implementations13 Oct 2019 Chao-Tsung Huang, Yu-Chun Ding, Huan-Ching Wang, Chi-Wen Weng, Kai-Ping Lin, Li-Wei Wang, Li-De Chen

In this paper, we approach this goal by considering the inference flow, network model, instruction set, and processor design jointly to optimize hardware performance and image quality.

Denoising Object Recognition +2

ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference

no code implementations13 Oct 2019 Chao-Tsung Huang

Convolutional neural networks (CNNs) demand huge DRAM bandwidth for computational imaging tasks, and block-based processing has recently been applied to greatly reduce the bandwidth.

Image Denoising Model Optimization +1

Robust Pseudo Random Fields for Light-Field Stereo Matching

no code implementations ICCV 2017 Chao-Tsung Huang

We also devise an algorithm to employ this framework on dense, sparse, and even denoised light fields.

Depth Estimation Stereo Matching +1

Bayesian Inference for Neighborhood Filters With Application in Denoising

no code implementations CVPR 2015 Chao-Tsung Huang

Range-weighted neighborhood filters are useful and popular for their edge-preserving property and simplicity, but they are originally proposed as intuitive tools.

Bayesian Inference Color Image Denoising +1

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