Search Results for author: Shao-Yi Chien

Found 22 papers, 8 papers with code

FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition

1 code implementation23 Dec 2021 Chih-Ting Liu, Chien-Yi Wang, Shao-Yi Chien, Shang-Hong Lai

Current state-of-the-art deep learning based face recognition (FR) models require a large number of face identities for central training.

Face Recognition Federated Learning

Learning Discriminative Shrinkage Deep Networks for Image Deconvolution

1 code implementation27 Nov 2021 Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang

Most existing methods usually formulate the non-blind deconvolution problem into a maximum-a-posteriori framework and address it by manually designing kinds of regularization terms and data terms of the latent clear images.

Image Deconvolution Image Restoration

Adaptive Region Pooling for Fine-Grained Representation Learning

no code implementations29 Sep 2021 Tsai-Shien Chen, Chih-Ting Liu, Shao-Yi Chien

Fine-grained recognition aims to discriminate the sub-categories of the images within one general category.

Image Classification Image Retrieval +2

Interactive Object Segmentation with Dynamic Click Transform

no code implementations19 Jun 2021 Chun-Tse Lin, Wei-Chih Tu, Chih-Ting Liu, Shao-Yi Chien

In the interactive segmentation, users initially click on the target object to segment the main body and then provide corrections on mislabeled regions to iteratively refine the segmentation masks.

Interactive Segmentation Object +2

Incremental False Negative Detection for Contrastive Learning

no code implementations ICLR 2022 Tsai-Shien Chen, Wei-Chih Hung, Hung-Yu Tseng, Shao-Yi Chien, Ming-Hsuan Yang

Self-supervised learning has recently shown great potential in vision tasks through contrastive learning, which aims to discriminate each image, or instance, in the dataset.

Contrastive Learning Self-Supervised Learning

Video-based Person Re-identification without Bells and Whistles

1 code implementation22 May 2021 Chih-Ting Liu, Jun-Cheng Chen, Chu-Song Chen, Shao-Yi Chien

Besides, we discover the errors not only for the identity labels of tracklets but also for the evaluation protocol for the test data of MARS.

Video-Based Person Re-Identification

Online-Trained Upsampler for Deep Low Complexity Video Compression

no code implementations ICCV 2021 Jan P. Klopp, Keng-Chi Liu, Shao-Yi Chien, Liang-Gee Chen

This hybrid solution has a small scope of only 10s or 100s of frames and allows for a low complexity both on the encoding and the decoding side.

Video Compression

How to Exploit the Transferability of Learned Image Compression to Conventional Codecs

no code implementations CVPR 2021 Jan P. Klopp, Keng-Chi Liu, Liang-Gee Chen, Shao-Yi Chien

Recent research suggests that generative adversarial networks have the ability to overcome this limitation and serve as a multi-modal loss, especially for textures.

Generative Adversarial Network Image Compression +2

Viewpoint-Aware Channel-Wise Attentive Network for Vehicle Re-Identification

no code implementations12 Oct 2020 Tsai-Shien Chen, Man-Yu Lee, Chih-Ting Liu, Shao-Yi Chien

Our VCAM enables the feature learning framework channel-wisely reweighing the importance of each feature maps according to the "viewpoint" of input vehicle.

Vehicle Re-Identification

GrateTile: Efficient Sparse Tensor Tiling for CNN Processing

no code implementations18 Sep 2020 Yu-Sheng Lin, Hung Chang Lu, Yang-Bin Tsao, Yi-Min Chih, Wei-Chao Chen, Shao-Yi Chien

We propose GrateTile, an efficient, hardwarefriendly data storage scheme for sparse CNN feature maps (activations).

Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding

no code implementations19 Oct 2019 Jan P. Klopp, Liang-Gee Chen, Shao-Yi Chien

The method can be applied to any existing video codec to increase coding gains while its low computational footprint allows for an application under resource-constrained conditions.

Denoising Video Compression

Increasing Compactness Of Deep Learning Based Speech Enhancement Models With Parameter Pruning And Quantization Techniques

no code implementations31 May 2019 Jyun-Yi Wu, Cheng Yu, Szu-Wei Fu, Chih-Ting Liu, Shao-Yi Chien, Yu Tsao

In addition, a parameter quantization (PQ) technique was applied to reduce the size of a neural network by representing weights with fewer cluster centroids.

Denoising Quantization +1

Unrolled Memory Inner-Products: An Abstract GPU Operator for Efficient Vision-Related Computations

no code implementations ICCV 2017 Yu-Sheng Lin, Wei-Chao Chen, Shao-Yi Chien

Recently, convolutional neural networks (CNNs) have achieved great success in fields such as computer vision, natural language processing, and artificial intelligence.

Rolling Shutter Correction

Computation-Performance Optimization of Convolutional Neural Networks with Redundant Kernel Removal

2 code implementations30 May 2017 Chih-Ting Liu, Yi-Heng Wu, Yu-Sheng Lin, Shao-Yi Chien

Deep Convolutional Neural Networks (CNNs) are widely employed in modern computer vision algorithms, where the input image is convolved iteratively by many kernels to extract the knowledge behind it.

Super-Resolution

Learning to Compose with Professional Photographs on the Web

1 code implementation1 Feb 2017 Yi-Ling Chen, Jan Klopp, Min Sun, Shao-Yi Chien, Kwan-Liu Ma

Photo composition is an important factor affecting the aesthetics in photography.

Image Cropping

Real-Time Salient Object Detection With a Minimum Spanning Tree

1 code implementation CVPR 2016 Wei-Chih Tu, Shengfeng He, Qingxiong Yang, Shao-Yi Chien

In this paper, we present a real-time salient object detection system based on the minimum spanning tree.

Ranked #5 on Video Salient Object Detection on MCL (using extra training data)

Object object-detection +2

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