Search Results for author: Chu-Song Chen

Found 21 papers, 11 papers with code

NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling

no code implementations18 Jun 2022 Chi-Chang Lee, Cheng-Hung Hu, Yu-Chen Lin, Chu-Song Chen, Hsin-Min Wang, Yu Tsao

NASTAR uses a feedback mechanism to simulate adaptive training data via a noise extractor and a retrieval model.

Speech Enhancement

STR-GQN: Scene Representation and Rendering for Unknown Cameras Based on Spatial Transformation Routing

no code implementations ICCV 2021 Wen-Cheng Chen, Min-Chun Hu, Chu-Song Chen

The STR mechanism treats the spatial transformation as the message passing process, and the relation between the view poses and the routing weights is modeled by an end-to-end trainable neural network.

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

360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales

1 code implementation15 Sep 2020 Ashesh, Chu-Song Chen, Hsuan-Tien Lin

Technically, the gaze information can be inferred from two different magnification levels: face orientation and eye orientation.

Gaze Estimation

Data-specific Adaptive Threshold for Face Recognition and Authentication

1 code implementation26 Oct 2018 Hsin-Rung Chou, Jia-Hong Lee, Yi-Ming Chan, Chu-Song Chen

Many face recognition systems boost the performance using deep learning models, but only a few researches go into the mechanisms for dealing with online registration.

 Ranked #1 on Face Recognition on Adience (Online Open Set) (using extra training data)

Face Recognition

Unifying and Merging Well-trained Deep Neural Networks for Inference Stage

1 code implementation14 May 2018 Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen

We propose a novel method to merge convolutional neural-nets for the inference stage.

Aesthetic Critiques Generation for Photos

no code implementations ICCV 2017 Kuang-Yu Chang, Kung-Hung Lu, Chu-Song Chen

Although aesthetic quality assessment has generated a great deal of interest in the last decade, most studies focus on providing a quality rating of good or bad for an image.

Image Captioning

Learning Compact Binary Descriptors With Unsupervised Deep Neural Networks

no code implementations CVPR 2016 Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie zhou

In this paper, we propose a new unsupervised deep learning approach called DeepBit to learn compact binary descriptor for efficient visual object matching.

Image Retrieval Object Recognition +1

Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks

1 code implementation1 Jul 2015 Huei-Fang Yang, Kevin Lin, Chu-Song Chen

SSDH is simple and can be realized by a slight enhancement of an existing deep architecture for classification; yet it is effective and outperforms other hashing approaches on several benchmarks and large datasets.

Classification General Classification +1

To Know Where We Are: Vision-Based Positioning in Outdoor Environments

no code implementations19 Jun 2015 Kuan-Wen Chen, Chun-Hsin Wang, Xiao Wei, Qiao Liang, Ming-Hsuan Yang, Chu-Song Chen, Yi-Ping Hung

Augmented reality (AR) displays become more and more popular recently, because of its high intuitiveness for humans and high-quality head-mounted display have rapidly developed.

Image Registration Model Compression

Bayesian Fisher's Discriminant for Functional Data

no code implementations9 Dec 2014 Yao-Hsiang Yang, Lu-Hung Chen, Chieh-Chih Wang, Chu-Song Chen

We propose a Bayesian framework of Gaussian process in order to extend Fisher's discriminant to classify functional data such as spectra and images.

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