Jie Lin

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 81

Top Venues

Publications

Chenjing Liu, Xiangru Chen, Jie Lin, Peng Hu, Junfeng Wang, Xue Geng
Evolving masked low-rank transformer for long text understanding. Appl. Soft Comput. 152 (2024)
Xiangru Chen, Chenjing Liu, Peng Hu, Jie Lin, Yunhong Gong, Yingke Chen, Dezhong Peng, Xue Geng
Adaptive Masked Autoencoder Transformer for image classification. Appl. Soft Comput. 164 (2024)
Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin
LPViT: Low-Power Semi-structured Pruning for Vision Transformers. CoRR (2024)
Chaitanya K. Joshi, Fayao Liu, Xu Xun, Jie Lin, Chuan Sheng Foo
On Representation Knowledge Distillation for Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin
LCReg: Long-tailed image classification with Latent Categories based Recognition. Pattern Recognit. 145 (2024)
Xiangru Chen, Chenjing Liu, Peng Hu, Jie Lin, Yunhong Gong, Yingke Chen, Dezhong Peng, Xue Geng
Evolving filter criteria for randomly initialized network pruning in image classification. Neurocomputing 594 (2024)
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
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. CoRR (2024)
Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen
Unlimited Knowledge Distillation for Action Recognition in the Dark. CoRR (2023)
Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, Xiaoli Li, Weisi Lin
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. CoRR (2023)
Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin
LCReg: Long-Tailed Image Classification with Latent Categories based Recognition. CoRR (2023)
Peng Hu, Hongyuan Zhu, Jie Lin, Dezhong Peng, Yin-Ping Zhao, Xi Peng
Unsupervised Contrastive Cross-Modal Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Efe Camci, Manas Gupta, Min Wu, Jie Lin
QLP: Deep Q-Learning for Pruning Deep Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 32 (10) (2022)
Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, Dezhong Peng
Deep Semisupervised Multiview Learning With Increasing Views. IEEE Trans. Cybern. 52 (12) (2022)
Fayao Liu, Guosheng Lin, Chuan-Sheng Foo, Chaitanya K. Joshi, Jie Lin
Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis. 3DV (2022)
Huijing Zhan, Jie Lin, Kenan Emir Ak, Boxin Shi, Ling-Yu Duan, Alex C. Kot
$A^3$-FKG: Attentive Attribute-Aware Fashion Knowledge Graph for Outfit Preference Prediction. IEEE Trans. Multim. 24 (2022)
Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization. ECCV (12) (2022)
Souhail Meftah, Benjamin Hong Meng Tan, Khin Mi Mi Aung, Yuxiao Lu, Jie Lin, Bharadwaj Veeravalli
Towards high performance homomorphic encryption for inference tasks on CPU: An MPI approach. Future Gener. Comput. Syst. 134 (2022)
Manas Gupta, Efe Camci, Vishandi Rudy Keneta, Abhishek Vaidyanathan, Ritwik Kanodia, Chuan-Sheng Foo, Min Wu, Jie Lin
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning. CoRR (2022)
Chunyun Chen, Tianyi Zhang, Zehui Yu, Adithi Raghuraman, Shwetalaxmi Udayan, Jie Lin, Mohamed M. Sabry Aly
Scalable Hardware Acceleration of Non-Maximum Suppression. DATE (2022)
Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly
PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery. CVPR (2021)
Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly
PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery. CoRR (2021)
Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Wei Wang, Dezhong Peng
Cross-modal discriminant adversarial network. Pattern Recognit. 112 (2021)
Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization. AAAI (2021)
Wang Zhe, Jie Lin, Mohamed M. Sabry Aly, Sean I. Young, Vijay Chandrasekhar, Bernd Girod
Rate-Distortion Optimized Coding for Efficient CNN Compression. DCC (2021)
Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin
Learning Cross-Modal Retrieval With Noisy Labels. CVPR (2021)
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
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data With GPUs. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
Ahmad Al Badawi, Bharadwaj Veeravalli, Jie Lin, Xiao Nan, Kazuaki Matsumura, Khin Mi Mi Aung
Multi-GPU Design and Performance Evaluation of Homomorphic Encryption on GPU Clusters. IEEE Trans. Parallel Distributed Syst. 32 (2) (2021)
Huijing Zhan, Jie Lin
PAN: Personalized Attention Network For Outfit Recommendation. ICIP (2021)
Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Dezhong Peng
Joint Versus Independent Multiview Hashing for Cross-View Retrieval. IEEE Trans. Cybern. 51 (10) (2021)
Huijing Zhan, Chenyu Yi, Boxin Shi, Jie Lin, Ling-Yu Duan, Alex C. Kot
Pose-Normalized and Appearance-Preserved Street-to-Shop Clothing Image Generation and Feature Learning. IEEE Trans. Multim. 23 (2021)
Qianli Xu, Ana Garcia del Molino, Jie Lin, Fen Fang, Vigneshwaran Subbaraju, Liyuan Li, Joo-Hwee Lim
Lifelog Image Retrieval Based on Semantic Relevance Mapping. ACM Trans. Multim. Comput. Commun. Appl. 17 (3) (2021)
Govind Narasimman, Kangkang Lu, Arun Raja, Chuan Sheng Foo, Mohamed M. Sabry Aly, Jie Lin, Vijay Chandrasekhar
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition. CoRR (2021)
Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin
Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition. AAAI (2020)
Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong
Role-Wise Data Augmentation for Knowledge Distillation. CoRR (2020)
Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin
A*3D Dataset: Towards Autonomous Driving in Challenging Environments. ICRA (2020)
Xue Geng, Jie Lin, Shaohua Li
Cascaded Mixed-Precision Networks. ICIP (2020)
Yuwei Wu, Feng Gao, Yicheng Huang, Jie Lin, Vijay Chandrasekhar, Junsong Yuan, Ling-Yu Duan
Codebook-Free Compact Descriptor for Scalable Visual Search. IEEE Trans. Multim. 21 (2) (2019)
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
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. CoRR (2019)
Ling-Yu Duan, Yihang Lou, Yan Bai, Tiejun Huang, Wen Gao, Vijay Chandrasekhar, Jie Lin, Shiqi Wang, Alex ChiChung Kot
Compact Descriptors for Video Analysis: The Emerging MPEG Standard. IEEE Multim. 26 (2) (2019)
Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. CVPR (2019)
Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar
Dataflow-Based Joint Quantization for Deep Neural Networks. DCC (2019)
Zhuo Chen, Jie Lin, Zhe Wang, Vijay Chandrasekhar, Weisi Lin
Beyond Ranking Loss: Deep Holographic Networks for Multi-Label Video Search. ICIP (2019)
Zhaoqiang Xia, Jie Lin, Xiaoyi Feng
Trademark image retrieval via transformation-invariant deep hashing. J. Vis. Commun. Image Represent. 59 (2019)
Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin
A*3D Dataset: Towards Autonomous Driving in Challenging Environments. CoRR (2019)
Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry Aly
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. ISLPED (2019)
Wang Zhe, Jie Lin, Vijay Chandrasekhar, Bernd Girod
Optimizing the Bit Allocation for Compression of Weights and Activations of Deep Neural Networks. ICIP (2019)
Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. CoRR (2019)
Ziqian Chen, Jie Lin, Vijay Chandrasekhar, Ling-Yu Duan
Gated Square-Root Pooling for Image Instance Retrieval. ICIP (2018)
Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. CoRR (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
The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs. IACR Cryptol. ePrint Arch. 2018 (2018)
Xue Geng, Jie Lin, Bin Zhao, Anmin Kong, Mohamed M. Sabry Aly, Vijay Chandrasekhar
Hardware-Aware Softmax Approximation for Deep Neural Networks. ACCV (4) (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
The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs. CoRR (2018)
Jie Lin, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Hanlin Goh, Vijay Chandrasekhar
DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right. ICMR (2017)
Fang Yuan, Zhe Wang, Jie Lin, Luis Fernando D'Haro, Kim Jung Jae, Zeng Zeng, Vijay Chandrasekhar
End-to-End Video Classification with Knowledge Graphs. CoRR (2017)
Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen, Jie Lin, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge. CoRR (2017)
Yan Bai, Jie Lin, Vijay Chandrasekhar, Yihang Lou, Shiqi Wang, Ling-Yu Duan, Tiejun Huang, Alex C. Kot
Deep regional feature pooling for video matching. ICIP (2017)
Qianli Xu, Vigneshwaran Subbaraju, Ana Garcia del Molino, Jie Lin, Fen Fang, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar
Visualizing Personal Lifelog Data for Deeper Insights at the NTCIR-13 Lifelog-2 Task. NTCIR (2017)
Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar
Object Detection Meets Knowledge Graphs. IJCAI (2017)
Bappaditya Mandal, Liyuan Li, Gang Sam Wang, Jie Lin
Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State. IEEE Trans. Intell. Transp. Syst. 18 (3) (2017)
Jie Lin, Ling-Yu Duan, Shiqi Wang, Yan Bai, Yihang Lou, Vijay Chandrasekhar, Tiejun Huang, Alex ChiChung Kot, Wen Gao
HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval. IEEE Trans. Multim. 19 (9) (2017)
Jie Lin, Ana Garcia del Molino, Qianli Xu, Fen Fang, Vigneshwaran Subbaraju, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar
VCI2R at the NTCIR-13 Lifelog-2 Lifelog Semantic Access Task. NTCIR (2017)
Gaurav Manek, Jie Lin, Vijay Chandrasekhar, Lingyu Duan, Sateesh Giduthuri, Xiaoli Li, Tomaso A. Poggio
Pruning Convolutional Neural Networks for Image Instance Retrieval. CoRR (2017)
Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso A. Poggio
Group Invariant Deep Representations for Image Instance Retrieval. AAAI Spring Symposia (2017)
Kingsley Kuan, Gaurav Manek, Jie Lin, Yuan Fang, Vijay Chandrasekhar
Region average pooling for context-aware object detection. ICIP (2017)
Olivier Morère, Jie Lin, Antoine Veillard, Ling-Yu Duan, Vijay Chandrasekhar, Tomaso A. Poggio
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. ICMR (2017)
Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Tomaso A. Poggio
Compression of Deep Neural Networks for Image Instance Retrieval. DCC (2017)
Sai Manoj Prakhya, Weisi Lin, Vijay Chandrasekhar, Bingbing Liu, Jie Lin
Low Bit-rate 3D feature descriptors for depth data from Kinect-style sensors. Signal Process. Image Commun. 51 (2017)
Ana Garcia del Molino, Bappaditya Mandal, Jie Lin, Joo-Hwee Lim, Vigneshwaran Subbaraju, Vijay Chandrasekhar
VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization. CLEF (Working Notes) (2017)
Sai Manoj Prakhya, Jie Lin, Vijay Chandrasekhar, Weisi Lin, Bingbing Liu
3DHoPD: A Fast Low-Dimensional 3-D Descriptor. IEEE Robotics Autom. Lett. 2 (3) (2017)
Yicheng Huang, Ling-Yu Duan, Zhe Wang, Jie Lin, Vijay Chandrasekhar, Tiejun Huang
A Multi-Block N-ary trie structure for exact r-neighbour search in hamming space. ICIP (2017)
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
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. CoRR (2017)
Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Tomaso A. Poggio
Compression of Deep Neural Networks for Image Instance Retrieval. CoRR (2017)
Ling-Yu Duan, Vijay Chandrasekhar, Shiqi Wang, Yihang Lou, Jie Lin, Yan Bai, Tiejun Huang, Alex ChiChung Kot, Wen Gao
Compact Descriptors for Video Analysis: the Emerging MPEG Standard. CoRR (2017)
Yihang Lou, Yan Bai, Jie Lin, Shiqi Wang, Jie Chen, Vijay Chandrasekhar, Ling-Yu Duan, Tiejun Huang, Alex ChiChung Kot, Wen Gao
Compact Deep Invariant Descriptors for Video Retrieval. DCC (2017)
Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin
Egocentric Activity Recognition with Multimodal Fisher Vector. CoRR (2016)
Olivier Morère, Jie Lin, Antoine Veillard, Vijay Chandrasekhar
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. CoRR (2016)
Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso A. Poggio
Group Invariant Deep Representations for Image Instance Retrieval. CoRR (2016)
Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin
Egocentric activity recognition with multimodal fisher vector. ICASSP (2016)
Ling-Yu Duan, Vijay Chandrasekhar, Jie Chen, Jie Lin, Zhe Wang, Tiejun Huang, Bernd Girod, Wen Gao
Overview of the MPEG-CDVS Standard. IEEE Trans. Image Process. 25 (1) (2016)
Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard
Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing. DCC (2016)
Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard
A practical guide to CNNs and Fisher Vectors for image instance retrieval. Signal Process. 128 (2016)
Yitong Wang, Ling-Yu Duan, Jie Lin, Zhe Wang, Tiejun Huang
Hierarchical multi-VLAD for image retrieval. ICIP (2015)
Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin
Co-regularized deep representations for video summarization. ICIP (2015)
Zhe Wang, Ling-Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang, Wen Gao
Hamming Compatible Quantization for Hashing. IJCAI (2015)
Jie Lin, Zhe Wang, Yitong Wang, Vijay Chandrasekhar, Liyuan Li
Selective aggregated descriptors for robust mobile image retrieval. APSIPA (2015)
Zhangshuai Huang, Ling-Yu Duan, Jie Lin, Shiqi Wang, Siwei Ma, Tiejun Huang
An efficient coding framework for compact descriptors extracted from video sequence. ICIP (2015)
Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard
Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing. CoRR (2015)
Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin
Co-Regularized Deep Representations for Video Summarization. CoRR (2015)
Vijay Chandrasekhar, Jie Lin, Olivier Morère, Antoine Veillard, Hanlin Goh
Compact Global Descriptors for Visual Search. DCC (2015)
Zhe Wang, Ling-Yu Duan, Jie Lin, Jie Chen, Tiejun Huang, Wen Gao
Optimizing Binary Fisher Codes for Visual Search. DCC (2015)
Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval. CoRR (2015)
Jie Lin, Olivier Morère, Vijay Chandrasekhar, Antoine Veillard, Hanlin Goh
DeepHash: Getting Regularization, Depth and Fine-Tuning Right. CoRR (2015)
Ling-Yu Duan, Jie Lin, Zhe Wang, Tiejun Huang, Wen Gao
Weighted Component Hashing of Binary Aggregated Descriptors for Fast Visual Search. IEEE Trans. Multim. 17 (6) (2015)
Ling-Yu Duan, Jie Lin, Jie Chen, Tiejun Huang, Wen Gao
Compact Descriptors for Visual Search. IEEE Multim. 21 (3) (2014)
Zhe Wang, Ling-Yu Duan, Jie Lin, Tiejun Huang, Wen Gao, Miroslaw Bober
Component hashing of variable-length binary aggregated descriptors for fast image search. ICIP (2014)
Yitong Wang, Ling-Yu Duan, Jie Lin, Tiejun Huang, Wen Gao
Joint optimization of JPEG quantization table and coefficient thresholding for low bitrate mobile visual search. ICIP (2014)
Jie Lin, Ling-Yu Duan, Tiejun Huang, Wen Gao
Robust fisher codes for large scale image retrieval. ICASSP (2013)
Ling-Yu Duan, Feng Gao, Jie Chen, Jie Lin, Tiejun Huang
Compact descriptors for mobile visual search and MPEG CDVS standardization. ISCAS (2013)
Shuang Yang, Ling-Yu Duan, Jie Lin, Tiejun Huang
A novel pair-wise image matching strategy with compact descriptors. ICIP (2013)
Jie Chen, Ling-Yu Duan, Jie Lin, Rongrong Ji, Tiejun Huang, Wen Gao
On the interoperability of local descriptors compression. ICASSP (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jie Lin