Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Jie Lin

Few-Shot Segmentation with Global and Local Contrastive Learning


Aug 11, 2021
Weide Liu, Zhonghua Wu, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin


  Access Paper or Ask Questions

PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery


May 27, 2021
Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly

* Accepted by CVPR2021 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Group Invariant Deep Representations for Image Instance Retrieval


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


  Access Paper or Ask Questions

Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

DeepHash: Getting Regularization, Depth and Fine-Tuning Right


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


  Access Paper or Ask Questions