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A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition

Jan 13, 2021
Govind Narasimman, Kangkang Lu, Arun Raja, Chuan Sheng Foo, Mohamed Sabry Aly, Jie Lin, Vijay Chandrasekhar

* 5 pages, 3 figures 

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Learning to Prune Deep Neural Networks via Reinforcement Learning

Jul 09, 2020
Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Lin Jie

* Accepted at the ICML 2020 Workshop on Automated Machine Learning (AutoML 2020) 

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Empirical Analysis of Overfitting and Mode Drop in GAN Training

Jun 25, 2020
Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Vijay Chandrasekhar

* To appear in ICIP2020 

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Classification Representations Can be Reused for Downstream Generations

Apr 16, 2020
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, ArulMurugan Ambikapathi

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A*3D Dataset: Towards Autonomous Driving in Challenging Environments

Sep 17, 2019
Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin

* A new 3D dataset by I2R, A*STAR for autonomous driving 

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Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions

Feb 09, 2019
Yasin Yazıcı, Bruno Lecouat, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar

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Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks

Jan 04, 2019
Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher Pal, Vijay Chandrasekhar

* Data Compression Conference 2019 

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Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images

Dec 19, 2018
Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Holistic Multi-modal Memory Network for Movie Question Answering

Nov 12, 2018
Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo, Hongyuan Zhu, Yi Tay, Vijay Chandrasekhar

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Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile

Oct 01, 2018
Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras

* 26 pages, 14 figures 

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Deep Adaptive Temporal Pooling for Activity Recognition

Aug 22, 2018
Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal

* Accepted by ACM Multimedia 2018 

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Manifold regularization with GANs for semi-supervised learning

Jul 11, 2018
Bruno Lecouat, Chuan-Sheng Foo, Houssam Zenati, Vijay Chandrasekhar

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The Unusual Effectiveness of Averaging in GAN Training

Jun 12, 2018
Yasin Yazıcı, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar

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Online Deep Learning: Growing RBM on the fly

Mar 06, 2018
Savitha Ramasamy, Kanagasabai Rajaraman, Pavitra Krishnaswamy, Vijay Chandrasekhar

* 14 pages, 4 figures, 2 tables 

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End-to-End Video Classification with Knowledge Graphs

Nov 06, 2017
Fang Yuan, Zhe Wang, Jie Lin, Luis Fernando D'Haro, Kim Jung Jae, Zeng Zeng, Vijay Chandrasekhar

* 9 pages, 5 figures 

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Pruning Convolutional Neural Networks for Image Instance Retrieval

Jul 18, 2017
Gaurav Manek, Jie Lin, Vijay Chandrasekhar, Lingyu Duan, Sateesh Giduthuri, Xiaoli Li, Tomaso Poggio

* 5 pages 

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Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text

Jul 10, 2017
Zhe Wang, Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Sibo Song, Yuan Fang, Seokhwan Kim, Nancy Chen, Luis Fernando D'Haro, Luu Anh Tuan, Hongyuan Zhu, Zeng Zeng, Ngai Man Cheung, Georgios Piliouras, Jie Lin, Vijay Chandrasekhar

* 8 pages, Accepted to CVPR'17 Workshop on YouTube-8M Large-Scale Video Understanding 

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Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge

May 26, 2017
Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen, Jie Lin, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar

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Compact Descriptors for Video Analysis: the Emerging MPEG Standard

Apr 26, 2017
Ling-Yu Duan, Vijay Chandrasekhar, Shiqi Wang, Yihang Lou, Jie Lin, Yan Bai, Tiejun Huang, Alex Chichung Kot, Wen Gao

* 4 figures, 4 tables 

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Compression of Deep Neural Networks for Image Instance Retrieval

Jan 18, 2017
Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère, Antoine Veillard, Lingyu Duan, Tomaso Poggio

* 10 pages, accepted by DCC 2017 

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Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval

Apr 14, 2016
Olivier Morère, Jie Lin, Antoine Veillard, Vijay Chandrasekhar, Tomaso Poggio

* Image Instance Retrieval, CNN, Invariant Representation, Hashing, Unsupervised Learning, Regularization. arXiv admin note: text overlap with arXiv:1601.02093 

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Egocentric Activity Recognition with Multimodal Fisher Vector

Jan 25, 2016
Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin

* 5 pages, 4 figures, ICASSP 2016 accepted 

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Group Invariant Deep Representations for Image Instance Retrieval

Jan 13, 2016
Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso Poggio

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Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing

Nov 10, 2015
Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard

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A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval

Aug 25, 2015
Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard

* Deep Convolutional Neural Networks for instance retrieval, Fisher Vectors, instance retrieval 

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Co-Regularized Deep Representations for Video Summarization

Jan 30, 2015
Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin

* Video summarization, deep convolutional neural networks, co-regularized restricted Boltzmann machines 

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DeepHash: Getting Regularization, Depth and Fine-Tuning Right

Jan 20, 2015
Jie Lin, Olivier Morere, Vijay Chandrasekhar, Antoine Veillard, Hanlin Goh

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