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FFConv: Fast Factorized Neural Network Inference on Encrypted Data

Feb 06, 2021
Yuxiao Lu, Jie Lin, Chao Jin, Zhe Wang, Khin Mi Mi Aung, Xiaoli Li

* 9 pages, 4 figures 

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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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Role-Wise Data Augmentation for Knowledge Distillation

Apr 19, 2020
Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong

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Deeply Activated Salient Region for Instance Search

Feb 22, 2020
Hui-Chu Xiao, Wan-Lei Zhao, Jie Lin, Chong-Wah Ngo

* 10 pages, 8 figures 

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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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Quantum-enhanced least-square support vector machine: simplified quantum algorithm and sparse solutions

Aug 05, 2019
Jie Lin, Dan-Bo Zhang, Shuo Zhang, Xiang Wang, Tan Li, Wan-su Bao

* 9 pages and 0 figures 

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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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TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks

Nov 29, 2018
Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry

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The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs

Nov 02, 2018
Ahmad Al Badawi, Jin Chao, Jie Lin, Chan Fook Mun, Sim Jun Jie, Benjamin Hong Meng Tan, Xiao Nan, Khin Mi Mi Aung, Vijay Ramaseshan Chandrasekhar

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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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