Jie Lin - RankMe

122 papers A* 9A 3B 27C 1Misc 4Journal 67Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploiting independent query information for few-shot image segmentation. Displays Weide Liu, Zhonghua Wu, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin, Wei Zhou
2025	J	`jnl`	Efficient Distortion-Minimized Layerwise Pruning. IEEE Trans. Pattern Anal. Mach. Intell. Kaixin Xu, Zhe Wang, Runtao Huang, Xue Geng, Jie Lin, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2025	J	`jnl`	From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Jin Chao, Manas Gupta, XuLei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li
2025	J	`jnl`	PSRR-MaxpoolNMS++: Fast Non-Maximum Suppression With Discretization and Pooling. IEEE Trans. Pattern Anal. Mach. Intell. Tianyi Zhang, Chunyun Chen, Yun Liu, Xue Geng, Mohamed M. Sabry Aly, Jie Lin
2024	J	`jnl`	Adaptive Masked Autoencoder Transformer for image classification. Appl. Soft Comput. Xiangru Chen, Chenjing Liu, Peng Hu, Jie Lin, Yunhong Gong, Yingke Chen, Dezhong Peng, Xue Geng
2024	J	`jnl`	Deep Supervised Multi-View Learning With Graph Priors. IEEE Trans. Image Process. Peng Hu, Liangli Zhen, Xi Peng, Hongyuan Zhu, Jie Lin, Xu Wang, Dezhong Peng
2024	J	`jnl`	Evolving filter criteria for randomly initialized network pruning in image classification. Neurocomputing Xiangru Chen, Chenjing Liu, Peng Hu, Jie Lin, Yunhong Gong, Yingke Chen, Dezhong Peng, Xue Geng
2024	J	`jnl`	Evolving masked low-rank transformer for long text understanding. Appl. Soft Comput. Chenjing Liu, Xiangru Chen, Jie Lin, Peng Hu, Junfeng Wang, Xue Geng
2024	J	`jnl`	From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. CoRR 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
2024	—	`conf`	Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning. CAI Manas Gupta, Efe Camci, Vishandi Rudy Keneta, Abhishek Vaidyanathan, Ritwik Kanodia, Ashish James, Chuan-Sheng Foo, Min Wu, Jie Lin
2024	J	`jnl`	LCReg: Long-tailed image classification with Latent Categories based Recognition. Pattern Recognit. Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin
2024	—	`conf`	LPViT: Low-Power Semi-structured Pruning for Vision Transformers. ECCV (71) Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2024	J	`jnl`	LPViT: Low-Power Semi-structured Pruning for Vision Transformers. CoRR Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2024	J	`jnl`	On Representation Knowledge Distillation for Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Chaitanya K. Joshi, Fayao Liu, Xu Xun, Jie Lin, Chuan Sheng Foo
2023	J	`jnl`	Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. CoRR Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, Xiaoli Li, Weisi Lin
2023	J	`jnl`	LCReg: Long-Tailed Image Classification with Latent Categories based Recognition. CoRR Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin
2023	J	`jnl`	Unlimited Knowledge Distillation for Action Recognition in the Dark. CoRR Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen
2023	J	`jnl`	Unsupervised Contrastive Cross-Modal Hashing. IEEE Trans. Pattern Anal. Mach. Intell. Peng Hu, Hongyuan Zhu, Jie Lin, Dezhong Peng, Yin-Ping Zhao, Xi Peng
2022	J	`jnl`	$A^3$-FKG: Attentive Attribute-Aware Fashion Knowledge Graph for Outfit Preference Prediction. IEEE Trans. Multim. Huijing Zhan, Jie Lin, Kenan Emir Ak, Boxin Shi, Ling-Yu Duan, Alex C. Kot
2022	B	`conf`	Channel-Wise Bit Allocation for Deep Visual Feature Quantization. ICIP Wei Wang, Zhuo Chen, Zhe Wang, Jie Lin, Long Xu, Weisi Lin
2022	J	`jnl`	Deep Semisupervised Multiview Learning With Increasing Views. IEEE Trans. Cybern. Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, Dezhong Peng
2022	J	`jnl`	Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning. CoRR Manas Gupta, Efe Camci, Vishandi Rudy Keneta, Abhishek Vaidyanathan, Ritwik Kanodia, Chuan-Sheng Foo, Min Wu, Jie Lin
2022	J	`jnl`	Long-tailed Recognition by Learning from Latent Categories. CoRR Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin
2022	J	`jnl`	OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization. CoRR Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin
2022	—	`conf`	Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis. 3DV Fayao Liu, Guosheng Lin, Chuan-Sheng Foo, Chaitanya K. Joshi, Jie Lin
2022	J	`jnl`	QLP: Deep Q-Learning for Pruning Deep Neural Networks. IEEE Trans. Circuits Syst. Video Technol. Efe Camci, Manas Gupta, Min Wu, Jie Lin
2022	—	`conf`	RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization. ECCV (12) Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar
2022	A	`conf`	Scalable Hardware Acceleration of Non-Maximum Suppression. DATE Chunyun Chen, Tianyi Zhang, Zehui Yu, Adithi Raghuraman, Shwetalaxmi Udayan, Jie Lin, Mohamed M. Sabry Aly
2022	J	`jnl`	Towards high performance homomorphic encryption for inference tasks on CPU: An MPI approach. Future Gener. Comput. Syst. Souhail Meftah, Benjamin Hong Meng Tan, Khin Mi Mi Aung, Yuxiao Lu, Jie Lin, Bharadwaj Veeravalli
2021	J	`jnl`	A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition. CoRR Govind Narasimman, Kangkang Lu, Arun Raja, Chuan Sheng Foo, Mohamed M. Sabry Aly, Jie Lin, Vijay Chandrasekhar
2021	J	`jnl`	Cross-modal discriminant adversarial network. Pattern Recognit. Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Wei Wang, Dezhong Peng
2021	A*	`conf`	Efficient Tunstall Decoder for Deep Neural Network Compression. DAC Chunyun Chen, Zhe Wang, Xiaowei Chen, Jie Lin, Mohamed M. Sabry Aly
2021	J	`jnl`	FFConv: Fast Factorized Neural Network Inference on Encrypted Data. CoRR Yuxiao Lu, Jie Lin, Chao Jin, Zhe Wang, Khin Mi Mi Aung, Xiaoli Li
2021	J	`jnl`	Few-Shot Segmentation with Global and Local Contrastive Learning. CoRR Weide Liu, Zhonghua Wu, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin
2021	J	`jnl`	Joint Versus Independent Multiview Hashing for Cross-View Retrieval. IEEE Trans. Cybern. Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Dezhong Peng
2021	A*	`conf`	Learning Cross-Modal Retrieval With Noisy Labels. CVPR Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin
2021	J	`jnl`	Lifelog Image Retrieval Based on Semantic Relevance Mapping. ACM Trans. Multim. Comput. Commun. Appl. Qianli Xu, Ana Garcia del Molino, Jie Lin, Fen Fang, Vigneshwaran Subbaraju, Liyuan Li, Joo-Hwee Lim
2021	J	`jnl`	Multi-GPU Design and Performance Evaluation of Homomorphic Encryption on GPU Clusters. IEEE Trans. Parallel Distributed Syst. Ahmad Al Badawi, Bharadwaj Veeravalli, Jie Lin, Xiao Nan, Kazuaki Matsumura, Khin Mi Mi Aung
2021	A*	`conf`	OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization. AAAI Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin
2021	J	`jnl`	On Representation Knowledge Distillation for Graph Neural Networks. CoRR Chaitanya K. Joshi, Fayao Liu, Xu Xun, Jie Lin, Chuan-Sheng Foo
2021	B	`conf`	PAN: Personalized Attention Network For Outfit Recommendation. ICIP Huijing Zhan, Jie Lin
2021	A*	`conf`	PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery. CVPR Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly
2021	J	`jnl`	PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery. CoRR Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly
2021	J	`jnl`	Pose-Normalized and Appearance-Preserved Street-to-Shop Clothing Image Generation and Feature Learning. IEEE Trans. Multim. Huijing Zhan, Chenyu Yi, Boxin Shi, Jie Lin, Ling-Yu Duan, Alex C. Kot
2021	B	`conf`	Rate-Distortion Optimized Coding for Efficient CNN Compression. DCC Wang Zhe, Jie Lin, Mohamed M. Sabry Aly, Sean I. Young, Vijay Chandrasekhar, Bernd Girod
2021	J	`jnl`	Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data With GPUs. IEEE Trans. Emerg. Top. Comput. 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
2020	A*	`conf`	A*3D Dataset: Towards Autonomous Driving in Challenging Environments. ICRA Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin
2020	B	`conf`	Cascaded Mixed-Precision Networks. ICIP Xue Geng, Jie Lin, Shaohua Li
2020	J	`jnl`	Learning to Prune Deep Neural Networks via Reinforcement Learning. CoRR Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Jie Lin
2020	B	`conf`	Object Tracking Via ImageNet Classification Scores. ICIP Li Wang, Ting Liu, Bing Wang, Jie Lin, XuLei Yang, Gang Wang
2020	J	`jnl`	Role-Wise Data Augmentation for Knowledge Distillation. CoRR Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong
2020	A*	`conf`	Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition. AAAI Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin
2019	J	`jnl`	A*3D Dataset: Towards Autonomous Driving in Challenging Environments. CoRR Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin
2019	B	`conf`	Beyond Ranking Loss: Deep Holographic Networks for Multi-Label Video Search. ICIP Zhuo Chen, Jie Lin, Zhe Wang, Vijay Chandrasekhar, Weisi Lin
2019	J	`jnl`	CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. CoRR 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
2019	J	`jnl`	Codebook-Free Compact Descriptor for Scalable Visual Search. IEEE Trans. Multim. Yuwei Wu, Feng Gao, Yicheng Huang, Jie Lin, Vijay Chandrasekhar, Junsong Yuan, Ling-Yu Duan
2019	J	`jnl`	Compact Descriptors for Video Analysis: The Emerging MPEG Standard. IEEE Multim. Ling-Yu Duan, Yihang Lou, Yan Bai, Tiejun Huang, Wen Gao, Vijay Chandrasekhar, Jie Lin, Shiqi Wang, Alex ChiChung Kot
2019	B	`conf`	Dataflow-Based Joint Quantization for Deep Neural Networks. DCC Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar
2019	J	`jnl`	Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. CoRR Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar
2019	B	`conf`	Learning Hierarchical Features for Visual Object Tracking With Recursive Neural Networks. ICIP Li Wang, Ting Liu, Bing Wang, Jie Lin, XuLei Yang, Gang Wang
2019	A*	`conf`	MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. CVPR Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar
2019	B	`conf`	Optimizing the Bit Allocation for Compression of Weights and Activations of Deep Neural Networks. ICIP Wang Zhe, Jie Lin, Vijay Chandrasekhar, Bernd Girod
2019	A	`conf`	TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. ISLPED Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry Aly
2019	J	`jnl`	Trademark image retrieval via transformation-invariant deep hashing. J. Vis. Commun. Image Represent. Zhaoqiang Xia, Jie Lin, Xiaoyi Feng
2018	B	`conf`	Gated Square-Root Pooling for Image Instance Retrieval. ICIP Ziqian Chen, Jie Lin, Vijay Chandrasekhar, Ling-Yu Duan
2018	—	`conf`	Hardware-Aware Softmax Approximation for Deep Neural Networks. ACCV (4) Xue Geng, Jie Lin, Bin Zhao, Anmin Kong, Mohamed M. Sabry Aly, Vijay Chandrasekhar
2018	J	`jnl`	TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. CoRR Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry
2018	J	`jnl`	The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs. CoRR 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
2018	J	`jnl`	The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs. IACR Cryptol. ePrint Arch. 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
2017	J	`jnl`	3DHoPD: A Fast Low-Dimensional 3-D Descriptor. IEEE Robotics Autom. Lett. Sai Manoj Prakhya, Jie Lin, Vijay Chandrasekhar, Weisi Lin, Bingbing Liu
2017	B	`conf`	A Multi-Block N-ary trie structure for exact r-neighbour search in hamming space. ICIP Yicheng Huang, Ling-Yu Duan, Zhe Wang, Jie Lin, Vijay Chandrasekhar, Tiejun Huang
2017	B	`conf`	Compact Deep Invariant Descriptors for Video Retrieval. DCC Yihang Lou, Yan Bai, Jie Lin, Shiqi Wang, Jie Chen, Vijay Chandrasekhar, Ling-Yu Duan, Tiejun Huang, Alex ChiChung Kot, Wen Gao
2017	J	`jnl`	Compact Descriptors for Video Analysis: the Emerging MPEG Standard. CoRR Ling-Yu Duan, Vijay Chandrasekhar, Shiqi Wang, Yihang Lou, Jie Lin, Yan Bai, Tiejun Huang, Alex ChiChung Kot, Wen Gao
2017	B	`conf`	Compression of Deep Neural Networks for Image Instance Retrieval. DCC Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Tomaso A. Poggio
2017	J	`jnl`	Compression of Deep Neural Networks for Image Instance Retrieval. CoRR Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Tomaso A. Poggio
2017	J	`jnl`	Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge. CoRR Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen, Jie Lin, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar
2017	J	`jnl`	Deep convolutional hashing using pairwise multi-label supervision for large-scale visual search. Signal Process. Image Commun. Zhaoqiang Xia, Xiaoyi Feng, Jie Lin, Abdenour Hadid
2017	B	`conf`	Deep regional feature pooling for video matching. ICIP Yan Bai, Jie Lin, Vijay Chandrasekhar, Yihang Lou, Shiqi Wang, Ling-Yu Duan, Tiejun Huang, Alex C. Kot
2017	B	`conf`	DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right. ICMR Jie Lin, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Hanlin Goh, Vijay Chandrasekhar
2017	J	`jnl`	End-to-End Video Classification with Knowledge Graphs. CoRR Fang Yuan, Zhe Wang, Jie Lin, Luis Fernando D'Haro, Jung-Jae Kim, Zeng Zeng, Vijay Chandrasekhar
2017	—	`conf`	Group Invariant Deep Representations for Image Instance Retrieval. AAAI Spring Symposia Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso A. Poggio
2017	J	`jnl`	HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval. IEEE Trans. Multim. Jie Lin, Ling-Yu Duan, Shiqi Wang, Yan Bai, Yihang Lou, Vijay Chandrasekhar, Tiejun Huang, Alex ChiChung Kot, Wen Gao
2017	J	`jnl`	Low Bit-rate 3D feature descriptors for depth data from Kinect-style sensors. Signal Process. Image Commun. Sai Manoj Prakhya, Weisi Lin, Vijay Chandrasekhar, Bingbing Liu, Jie Lin
2017	B	`conf`	Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. ICMR Olivier Morère, Jie Lin, Antoine Veillard, Ling-Yu Duan, Vijay Chandrasekhar, Tomaso A. Poggio
2017	A*	`conf`	Object Detection Meets Knowledge Graphs. IJCAI Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar
2017	J	`jnl`	Pruning Convolutional Neural Networks for Image Instance Retrieval. CoRR Gaurav Manek, Jie Lin, Vijay Chandrasekhar, Lingyu Duan, Sateesh Giduthuri, Xiaoli Li, Tomaso A. Poggio
2017	B	`conf`	Region average pooling for context-aware object detection. ICIP Kingsley Kuan, Gaurav Manek, Jie Lin, Yuan Fang, Vijay Chandrasekhar
2017	J	`jnl`	Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State. IEEE Trans. Intell. Transp. Syst. Bappaditya Mandal, Liyuan Li, Gang Sam Wang, Jie Lin
2017	J	`jnl`	Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. CoRR 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
2017	—	`conf`	VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization. CLEF (Working Notes) Ana Garcia del Molino, Bappaditya Mandal, Jie Lin, Joo-Hwee Lim, Vigneshwaran Subbaraju, Vijay Chandrasekhar
2017	—	`conf`	VCI2R at the NTCIR-13 Lifelog-2 Lifelog Semantic Access Task. NTCIR Jie Lin, Ana Garcia del Molino, Qianli Xu, Fen Fang, Vigneshwaran Subbaraju, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar
2017	—	`conf`	Visualizing Personal Lifelog Data for Deeper Insights at the NTCIR-13 Lifelog-2 Task. NTCIR Qianli Xu, Vigneshwaran Subbaraju, Ana Garcia del Molino, Jie Lin, Fen Fang, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar
2016	J	`jnl`	A practical guide to CNNs and Fisher Vectors for image instance retrieval. Signal Process. Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard
2016	J	`jnl`	Egocentric Activity Recognition with Multimodal Fisher Vector. CoRR Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin
2016	Misc	`conf`	Egocentric activity recognition with multimodal fisher vector. ICASSP Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin
2016	J	`jnl`	Group Invariant Deep Representations for Image Instance Retrieval. CoRR Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso A. Poggio
2016	J	`jnl`	Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. CoRR Olivier Morère, Jie Lin, Antoine Veillard, Vijay Chandrasekhar
2016	J	`jnl`	Overview of the MPEG-CDVS Standard. IEEE Trans. Image Process. Ling-Yu Duan, Vijay Chandrasekhar, Jie Chen, Jie Lin, Zhe Wang, Tiejun Huang, Bernd Girod, Wen Gao
2016	B	`conf`	Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing. DCC Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard
2015	J	`jnl`	A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval. CoRR Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard
2015	B	`conf`	An efficient coding framework for compact descriptors extracted from video sequence. ICIP Zhangshuai Huang, Ling-Yu Duan, Jie Lin, Shiqi Wang, Siwei Ma, Tiejun Huang
2015	J	`jnl`	Co-Regularized Deep Representations for Video Summarization. CoRR Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin
2015	B	`conf`	Co-regularized deep representations for video summarization. ICIP Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin
2015	B	`conf`	Compact Global Descriptors for Visual Search. DCC Vijay Chandrasekhar, Jie Lin, Olivier Morère, Antoine Veillard, Hanlin Goh
2015	J	`jnl`	DeepHash: Getting Regularization, Depth and Fine-Tuning Right. CoRR Jie Lin, Olivier Morère, Vijay Chandrasekhar, Antoine Veillard, Hanlin Goh
2015	A*	`conf`	Hamming Compatible Quantization for Hashing. IJCAI Zhe Wang, Ling-Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang, Wen Gao
2015	B	`conf`	Hierarchical multi-VLAD for image retrieval. ICIP Yitong Wang, Ling-Yu Duan, Jie Lin, Zhe Wang, Tiejun Huang
2015	B	`conf`	Optimizing Binary Fisher Codes for Visual Search. DCC Zhe Wang, Ling-Yu Duan, Jie Lin, Jie Chen, Tiejun Huang, Wen Gao
2015	—	`conf`	Selective aggregated descriptors for robust mobile image retrieval. APSIPA Jie Lin, Zhe Wang, Yitong Wang, Vijay Chandrasekhar, Liyuan Li
2015	J	`jnl`	Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing. CoRR Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard
2015	J	`jnl`	Weighted Component Hashing of Binary Aggregated Descriptors for Fast Visual Search. IEEE Trans. Multim. Ling-Yu Duan, Jie Lin, Zhe Wang, Tiejun Huang, Wen Gao
2014	J	`jnl`	Compact Descriptors for Visual Search. IEEE Multim. Ling-Yu Duan, Jie Lin, Jie Chen, Tiejun Huang, Wen Gao
2014	B	`conf`	Component hashing of variable-length binary aggregated descriptors for fast image search. ICIP Zhe Wang, Ling-Yu Duan, Jie Lin, Tiejun Huang, Wen Gao, Miroslaw Bober
2014	B	`conf`	Joint optimization of JPEG quantization table and coefficient thresholding for low bitrate mobile visual search. ICIP Yitong Wang, Ling-Yu Duan, Jie Lin, Tiejun Huang, Wen Gao
2013	B	`conf`	A novel pair-wise image matching strategy with compact descriptors. ICIP Shuang Yang, Ling-Yu Duan, Jie Lin, Tiejun Huang
2013	C	`conf`	Compact descriptors for mobile visual search and MPEG CDVS standardization. ISCAS Ling-Yu Duan, Feng Gao, Jie Chen, Jie Lin, Tiejun Huang
2013	Misc	`conf`	On the interoperability of local descriptors compression. ICASSP Jie Chen, Ling-Yu Duan, Jie Lin, Rongrong Ji, Tiejun Huang, Wen Gao
2013	Misc	`conf`	Robust fisher codes for large scale image retrieval. ICASSP Jie Lin, Ling-Yu Duan, Tiejun Huang, Wen Gao
2012	—	`conf`	Allocating images and selecting image collections for distributed visual search. ICIMCS Bing Li, Ling-Yu Duan, Jie Lin, Tiejun Huang
2012	Misc	`conf`	Learning multiple codebooks for low bit rate mobile visual search. ICASSP Jie Lin, Ling-Yu Duan, Jie Chen, Rongrong Ji, Siwei Luo, Wen Gao
2012	B	`conf`	Learning sparse tag patterns for social image classification. ICIP Jie Lin, Ling-Yu Duan, Junsong Yuan, Qingyong Li, Siwei Luo
2012	A	`conf`	Social Image Tagging by Mining Sparse Tag Patterns from Auxiliary Data. ICME Jie Lin, Junsong Yuan, Ling-Yu Duan, Siwei Luo, Wen Gao