Jie Lin

According to our database, Jie Lin authored at least 101 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

On Representation Knowledge Distillation for Graph Neural Networks.

Chaitanya K. Joshi, Fayao Liu, Xu Xun, Jie Lin, Chuan Sheng Foo

IEEE Trans. Neural Networks Learn. Syst., April, 2024

LCReg: Long-tailed image classification with Latent Categories based Recognition.

Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin

Pattern Recognit., January, 2024

Evolving filter criteria for randomly initialized network pruning in image classification.

Xiangru Chen, Chenjing Liu, Peng Hu, Jie Lin, Yunhong Gong, Yingke Chen, Dezhong Peng, Xue Geng

Neurocomputing, 2024

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.

Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li

CoRR, 2024

Evolving masked low-rank transformer for long text understanding.

Chenjing Liu, Xiangru Chen, Jie Lin, Peng Hu, Junfeng Wang, Xue Geng

Appl. Soft Comput., 2024

Adaptive Masked Autoencoder Transformer for image classification.

Xiangru Chen, Chenjing Liu, Peng Hu, Jie Lin, Yunhong Gong, Yingke Chen, Dezhong Peng, Xue Geng

Appl. Soft Comput., 2024

LPViT: Low-Power Semi-structured Pruning for Vision Transformers.

Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Unsupervised Contrastive Cross-Modal Hashing.

Peng Hu, Hongyuan Zhu, Jie Lin, Dezhong Peng, Yin-Ping Zhao, Xi Peng

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks.

Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, Xiaoli Li, Weisi Lin

CoRR, 2023

Unlimited Knowledge Distillation for Action Recognition in the Dark.

Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen

CoRR, 2023

2022

$A^3$-FKG: Attentive Attribute-Aware Fashion Knowledge Graph for Outfit Preference Prediction.

Huijing Zhan, Jie Lin, Kenan Emir Ak, Boxin Shi, Ling-Yu Duan, Alex C. Kot

IEEE Trans. Multim., 2022

Deep Semisupervised Multiview Learning With Increasing Views.

Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, Dezhong Peng

IEEE Trans. Cybern., 2022

QLP: Deep Q-Learning for Pruning Deep Neural Networks.

Efe Camci, Manas Gupta, Min Wu, Jie Lin

IEEE Trans. Circuits Syst. Video Technol., 2022

Towards high performance homomorphic encryption for inference tasks on CPU: An MPI approach.

Souhail Meftah, Benjamin Hong Meng Tan, Khin Mi Mi Aung, Yuxiao Lu, Jie Lin, Bharadwaj Veeravalli

Future Gener. Comput. Syst., 2022

Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning.

Manas Gupta, Efe Camci, Vishandi Rudy Keneta, Abhishek Vaidyanathan, Ritwik Kanodia, Chuan-Sheng Foo, Min Wu, Jie Lin

CoRR, 2022

Long-tailed Recognition by Learning from Latent Categories.

Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin

CoRR, 2022

Channel-Wise Bit Allocation for Deep Visual Feature Quantization.

Wei Wang, Zhuo Chen, Zhe Wang, Jie Lin, Long Xu, Weisi Lin

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization.

Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar

Proceedings of the Computer Vision - ECCV 2022, 2022

Scalable Hardware Acceleration of Non-Maximum Suppression.

Chunyun Chen, Tianyi Zhang, Zehui Yu, Adithi Raghuraman, Shwetalaxmi Udayan, Jie Lin, Mohamed M. Sabry Aly

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis.

Fayao Liu, Guosheng Lin, Chuan-Sheng Foo, Chaitanya K. Joshi, Jie Lin

Proceedings of the International Conference on 3D Vision, 2022

2021

Multi-GPU Design and Performance Evaluation of Homomorphic Encryption on GPU Clusters.

Ahmad Al Badawi, Bharadwaj Veeravalli, Jie Lin, Xiao Nan, Kazuaki Matsumura, Khin Mi Mi Aung

IEEE Trans. Parallel Distributed Syst., 2021

Lifelog Image Retrieval Based on Semantic Relevance Mapping.

Qianli Xu, Ana Garcia del Molino, Jie Lin, Fen Fang, Vigneshwaran Subbaraju, Liyuan Li, Joo-Hwee Lim

ACM Trans. Multim. Comput. Commun. Appl., 2021

Pose-Normalized and Appearance-Preserved Street-to-Shop Clothing Image Generation and Feature Learning.

Huijing Zhan, Chenyu Yi, Boxin Shi, Jie Lin, Ling-Yu Duan, Alex C. Kot

IEEE Trans. Multim., 2021

Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data With GPUs.

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

IEEE Trans. Emerg. Top. Comput., 2021

Joint Versus Independent Multiview Hashing for Cross-View Retrieval.

Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Dezhong Peng

IEEE Trans. Cybern., 2021

Cross-modal discriminant adversarial network.

Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Wei Wang, Dezhong Peng

Pattern Recognit., 2021

Few-Shot Segmentation with Global and Local Contrastive Learning.

Weide Liu, Zhonghua Wu, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin

CoRR, 2021

FFConv: Fast Factorized Neural Network Inference on Encrypted Data.

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

CoRR, 2021

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

Govind Narasimman, Kangkang Lu, Arun Raja, Chuan Sheng Foo, Mohamed M. Sabry Aly, Jie Lin, Vijay Chandrasekhar

CoRR, 2021

PAN: Personalized Attention Network For Outfit Recommendation.

Huijing Zhan, Jie Lin

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Rate-Distortion Optimized Coding for Efficient CNN Compression.

Wang Zhe, Jie Lin, Mohamed M. Sabry Aly, Sean I. Young, Vijay Chandrasekhar, Bernd Girod

Proceedings of the 31st Data Compression Conference, 2021

Efficient Tunstall Decoder for Deep Neural Network Compression.

Chunyun Chen, Zhe Wang, Xiaowei Chen, Jie Lin, Mohamed M. Sabry Aly

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Cross-Modal Retrieval With Noisy Labels.

Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization.

Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning to Prune Deep Neural Networks via Reinforcement Learning.

Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Jie Lin

CoRR, 2020

Role-Wise Data Augmentation for Knowledge Distillation.

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

CoRR, 2020

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

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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Cascaded Mixed-Precision Networks.

Xue Geng, Jie Lin, Shaohua Li

Proceedings of the IEEE International Conference on Image Processing, 2020

Object Tracking Via ImageNet Classification Scores.

Li Wang, Ting Liu, Bing Wang, Jie Lin, Xulei Yang, Gang Wang

Proceedings of the IEEE International Conference on Image Processing, 2020

Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition.

Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Codebook-Free Compact Descriptor for Scalable Visual Search.

Yuwei Wu, Feng Gao, Yicheng Huang, Jie Lin, Vijay Chandrasekhar, Junsong Yuan, Ling-Yu Duan

IEEE Trans. Multim., 2019

Trademark image retrieval via transformation-invariant deep hashing.

Zhaoqiang Xia, Jie Lin, Xiaoyi Feng

J. Vis. Commun. Image Represent., 2019

Compact Descriptors for Video Analysis: The Emerging MPEG Standard.

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

IEEE Multim., 2019

CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images.

Jin Chao, Ahmad Al Badawi, Balagopal Unnikrishnan, Jie Lin, Chan Fook Mun, James M. Brown, J. Peter Campbell, Michael F. Chiang, Jayashree Kalpathy-Cramer, Vijay Ramaseshan Chandrasekhar, Pavitra Krishnaswamy, Khin Mi Mi Aung

CoRR, 2019

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

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

CoRR, 2019

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

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

Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

Optimizing the Bit Allocation for Compression of Weights and Activations of Deep Neural Networks.

Wang Zhe, Jie Lin, Vijay Chandrasekhar, Bernd Girod

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Learning Hierarchical Features for Visual Object Tracking With Recursive Neural Networks.

Li Wang, Ting Liu, Bing Wang, Jie Lin, Xulei Yang, Gang Wang

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Beyond Ranking Loss: Deep Holographic Networks for Multi-Label Video Search.

Zhuo Chen, Jie Lin, Zhe Wang, Vijay Chandrasekhar, Weisi Lin

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Dataflow-Based Joint Quantization for Deep Neural Networks.

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

Proceedings of the Data Compression Conference, 2019

MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors.

Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

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

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

IACR Cryptol. ePrint Arch., 2018

Gated Square-Root Pooling for Image Instance Retrieval.

Ziqian Chen, Jie Lin, Vijay Chandrasekhar, Ling-Yu Duan

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Hardware-Aware Softmax Approximation for Deep Neural Networks.

Xue Geng, Jie Lin, Bin Zhao, Anmin Kong, Mohamed M. Sabry Aly, Vijay Chandrasekhar

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval.

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

IEEE Trans. Multim., 2017

Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State.

Bappaditya Mandal, Liyuan Li, Gang Sam Wang, Jie Lin

IEEE Trans. Intell. Transp. Syst., 2017

Deep convolutional hashing using pairwise multi-label supervision for large-scale visual search.

Zhaoqiang Xia, Xiaoyi Feng, Jie Lin, Abdenour Hadid

Signal Process. Image Commun., 2017

Low Bit-rate 3D feature descriptors for depth data from Kinect-style sensors.

Sai Manoj Prakhya, Weisi Lin, Vijay Chandrasekhar, Bingbing Liu, Jie Lin

Signal Process. Image Commun., 2017

3DHoPD: A Fast Low-Dimensional 3-D Descriptor.

Sai Manoj Prakhya, Jie Lin, Vijay Chandrasekhar, Weisi Lin, Bingbing Liu

IEEE Robotics Autom. Lett., 2017

End-to-End Video Classification with Knowledge Graphs.

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

CoRR, 2017

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

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

CoRR, 2017

Pruning Convolutional Neural Networks for Image Instance Retrieval.

Gaurav Manek, Jie Lin, Vijay Chandrasekhar, Lingyu Duan, Sateesh Giduthuri, Xiaoli Li, Tomaso A. Poggio

CoRR, 2017

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

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

CoRR, 2017

Visualizing Personal Lifelog Data for Deeper Insights at the NTCIR-13 Lifelog-2 Task.

Qianli Xu, Vigneshwaran Subbaraju, Ana Garcia del Molino, Jie Lin, Fen Fang, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar

Proceedings of the 13th NTCIR Conference, 2017

VCI2R at the NTCIR-13 Lifelog-2 Lifelog Semantic Access Task.

Jie Lin, Ana Garcia del Molino, Qianli Xu, Fen Fang, Vigneshwaran Subbaraju, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar

Proceedings of the 13th NTCIR Conference, 2017

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval.

Olivier Morère, Jie Lin, Antoine Veillard, Ling-Yu Duan, Vijay Chandrasekhar, Tomaso A. Poggio

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right.

Jie Lin, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Hanlin Goh, Vijay Chandrasekhar

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Object Detection Meets Knowledge Graphs.

Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Region average pooling for context-aware object detection.

Kingsley Kuan, Gaurav Manek, Jie Lin, Yuan Fang, Vijay Chandrasekhar

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A Multi-Block N-ary trie structure for exact r-neighbour search in hamming space.

Yicheng Huang, Ling-Yu Duan, Zhe Wang, Jie Lin, Vijay Chandrasekhar, Tiejun Huang

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep regional feature pooling for video matching.

Yan Bai, Jie Lin, Vijay Chandrasekhar, Yihang Lou, Shiqi Wang, Ling-Yu Duan, Tiejun Huang, Alex C. Kot

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Compact Deep Invariant Descriptors for Video Retrieval.

Yihang Lou, Yan Bai, Jie Lin, Shiqi Wang, Jie Chen, Vijay Chandrasekhar, Ling-Yu Duan, Tiejun Huang, Alex ChiChung Kot, Wen Gao

Proceedings of the 2017 Data Compression Conference, 2017

Compression of Deep Neural Networks for Image Instance Retrieval.

Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Tomaso A. Poggio

Proceedings of the 2017 Data Compression Conference, 2017

VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization.

Ana Garcia del Molino, Bappaditya Mandal, Jie Lin, Joo-Hwee Lim, Vigneshwaran Subbaraju, Vijay Chandrasekhar

Proceedings of the Working Notes of CLEF 2017, 2017

Group Invariant Deep Representations for Image Instance Retrieval.

Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso A. Poggio

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

Overview of the MPEG-CDVS Standard.

Ling-Yu Duan, Vijay Chandrasekhar, Jie Chen, Jie Lin, Zhe Wang, Tiejun Huang, Bernd Girod, Wen Gao

IEEE Trans. Image Process., 2016

A practical guide to CNNs and Fisher Vectors for image instance retrieval.

Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard

Signal Process., 2016

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval.

Olivier Morère, Jie Lin, Antoine Veillard, Vijay Chandrasekhar

CoRR, 2016

Egocentric activity recognition with multimodal fisher vector.

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

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing.

Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard

Proceedings of the 2016 Data Compression Conference, 2016

2015

Weighted Component Hashing of Binary Aggregated Descriptors for Fast Visual Search.

Ling-Yu Duan, Jie Lin, Zhe Wang, Tiejun Huang, Wen Gao

IEEE Trans. Multim., 2015

DeepHash: Getting Regularization, Depth and Fine-Tuning Right.

Jie Lin, Olivier Morère, Vijay Chandrasekhar, Antoine Veillard, Hanlin Goh

CoRR, 2015

Hamming Compatible Quantization for Hashing.

Zhe Wang, Ling-Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang, Wen Gao

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Hierarchical multi-VLAD for image retrieval.

Yitong Wang, Ling-Yu Duan, Jie Lin, Zhe Wang, Tiejun Huang

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Co-regularized deep representations for video summarization.

Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

An efficient coding framework for compact descriptors extracted from video sequence.

Zhangshuai Huang, Ling-Yu Duan, Jie Lin, Shiqi Wang, Siwei Ma, Tiejun Huang

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Optimizing Binary Fisher Codes for Visual Search.

Zhe Wang, Ling-Yu Duan, Jie Lin, Jie Chen, Tiejun Huang, Wen Gao

Proceedings of the 2015 Data Compression Conference, 2015

Compact Global Descriptors for Visual Search.

Vijay Chandrasekhar, Jie Lin, Olivier Morère, Antoine Veillard, Hanlin Goh

Proceedings of the 2015 Data Compression Conference, 2015

Selective aggregated descriptors for robust mobile image retrieval.

Jie Lin, Zhe Wang, Yitong Wang, Vijay Chandrasekhar, Liyuan Li

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2014

Compact Descriptors for Visual Search.

Ling-Yu Duan, Jie Lin, Jie Chen, Tiejun Huang, Wen Gao

IEEE Multim., 2014

Component hashing of variable-length binary aggregated descriptors for fast image search.

Zhe Wang, Ling-Yu Duan, Jie Lin, Tiejun Huang, Wen Gao, Miroslaw Bober

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Joint optimization of JPEG quantization table and coefficient thresholding for low bitrate mobile visual search.

Yitong Wang, Ling-Yu Duan, Jie Lin, Tiejun Huang, Wen Gao

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Compact descriptors for mobile visual search and MPEG CDVS standardization.

Ling-Yu Duan, Feng Gao, Jie Chen, Jie Lin, Tiejun Huang

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

A novel pair-wise image matching strategy with compact descriptors.

Shuang Yang, Ling-Yu Duan, Jie Lin, Tiejun Huang

Proceedings of the IEEE International Conference on Image Processing, 2013

Robust fisher codes for large scale image retrieval.

Jie Lin, Ling-Yu Duan, Tiejun Huang, Wen Gao

Proceedings of the IEEE International Conference on Acoustics, 2013

On the interoperability of local descriptors compression.

Jie Chen, Ling-Yu Duan, Jie Lin, Rongrong Ji, Tiejun Huang, Wen Gao

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Social Image Tagging by Mining Sparse Tag Patterns from Auxiliary Data.

Jie Lin, Junsong Yuan, Ling-Yu Duan, Siwei Luo, Wen Gao

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

Learning sparse tag patterns for social image classification.

Jie Lin, Ling-Yu Duan, Junsong Yuan, Qingyong Li, Siwei Luo

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Allocating images and selecting image collections for distributed visual search.

Bing Li, Ling-Yu Duan, Jie Lin, Tiejun Huang

Proceedings of the 4th International Conference on Internet Multimedia Computing and Service, 2012

Learning multiple codebooks for low bit rate mobile visual search.

Jie Lin, Ling-Yu Duan, Jie Chen, Rongrong Ji, Siwei Luo, Wen Gao

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012