ivclab Goto Github PK
Name: AI^2 Lab
Type: Organization
Bio: AI Application and Integration Lab, CSIE, National Taiwan University
Location: Taipei, Taiwan
Name: AI^2 Lab
Type: Organization
Bio: AI Application and Integration Lab, CSIE, National Taiwan University
Location: Taipei, Taiwan
Huei-Fang Yang, Cheng-Hao Tu, and Chu-Song Chen, "Adaptive Labeling for Hash Codes Learning via Neural Networks," IEEE International Conference on Image Processing, ICIP 2019, September 2019
Jia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen, and Chu-Song Chen, "Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications," IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2018
Pytorch implementation of BigGAN Generator with pretrained weights
:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)
Huei-Fang Yang, Kevin Lin, and Chu-Song Chen, "Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 40(2), pages 437 - 451, February 2018
Bor-Chun Chen, Chu-Song Chen, Winston H. Hsu. Face Recognition using Cross-Age Reference Coding with Cross-Age Celebrity Dataset, IEEE Transactions on Multimedia, 2015.
Huei-Fang Yang, Kevin Lin, Ting-Yen Chen, and Chu-Song Chen, "Cross-batch Reference Learning for Deep Retrieval," IEEE Transactions on Neural Networks and Learning Systems, 2019
Cheng-Hao Tu, Cheng-En Wu and Chu-Song Chen, "Extending Conditional Convolution Structures for Enhancing Multitasking Continual Learning," Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020.
Yi-Min Chou, Chien-Hung Chen, Keng-Hao Liu, and Chu-Song Chen, "Changing Background to Foreground: An Augmentation Method Based on Conditional Generative Network for Stingray Detection," IEEE International Conference on Image Processing, ICIP 2018, October 2018.
Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019
Continual Learning for Visual Search with Backward Consistent Feature Embedding, CVPR 2022 https://openaccess.thecvf.com/content/CVPR2022/papers/Wan_Continual_Learning_for_Visual_Search_With_Backward_Consistent_Feature_Embedding_CVPR_2022_paper.pdf
Collecting a list of dataset with day and night annotations
Kuang-Yu Chang, Kung-Hung Lu, and Chu-Song Chen, "Aesthetic Critiques Generation for Photos," International Conference on Computer Vision, ICCV 2017, October 2017.
Image Aesthetuc Assessment via Deep Semantic Aggregation (GlobalSIP16)
Tsung-Hung Hsieh, Jun-Cheng Chen, and Chu-Song Chen, "Label Reuse for Efficient Semi-Supervised Learning," IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, May 2020
Cheng-En Wu, Yi-Ming Chan and Chu-Song Chen "On Merging MobileNets for Efficient Multitask Inference", International Symposium on High-Performance Computer Architecture(HPCA) on Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications(EMC2), 2019
Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan and Chu-Song Chen, "Pruning Depthwise Separable Convolutions for MobileNet Compression," International Joint Conference on Neural Networks, IJCNN 2020, July 2020.
MULTI-VIEW CLOTHING DATASET
Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen, "Unifying and Merging Well-trained Deep Neural Networks for Inference Stage," International Joint Conference on Artificial Intelligence (IJCAI), 2018
Hsin-Rung Chou, Jia-Hong Lee, Yi-Ming Chan, and Chu-Song Chen, "Data-specific Adaptive Threshold for Face Recognition and Authentication," IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2019
Steven C. Y. Hung, Jia-Hong Lee, Timmy S. T. Wan, Chein-Hung Chen, Yi-Ming Chan and Chu-Song Chen. "Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning" 2019 ACM on International Conference on Multimedia Retrieval
Hau Chu, Jia-Hong Lee, Yao-Chih Lee, Ching-Hsien Hsu, Jia-Da Li, Chu-Song Chen, "Part-Aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking", CVPR Workshop, 2021
Sound Classification Dataset
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.