Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJie Lin 0001
Person information
- affiliation: Institute for Infocomm Research, Singapore
- affiliation (former): Beijing Jiaotong University, School of Computer Science and Technology, Beijing, China
- affiliation (former): Peking University, Institute of Digital Media, Beijing, China
Other persons with the same name
- Jie Lin — disambiguation page
- Jie Lin 0002
![[0000-0003-3476-110X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3476-110X")
— Xian Jiaotong University, School of Electronic and Information Engineering, China - Jie Lin 0003 (aka: Jane Lin 0001) — University of Illinois at Chicago, Department of Civil and Materials Engineering, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j26]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: 111207 (2024)- [j25]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: 127872 (2024) - [j24]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: 109971 (2024) - [j23]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): 4656-4667 (2024) - 2023
- [j22]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): 3877-3889 (2023) - 2022
- [j21]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: 13-21 (2022) - [j20]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): 6488-6501 (2022) - [j19]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): 12954-12965 (2022) - [j18]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: 819-831 (2022) - 2021
- [j17]Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Wei Wang, Dezhong Peng:
Cross-modal discriminant adversarial network. Pattern Recognit. 112: 107734 (2021) - [j16]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): 4982-4993 (2021) - [j15]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): 1330-1343 (2021) - [j14]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: 133-144 (2021) - [j13]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): 92:1-92:18 (2021) - [j12]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): 379-391 (2021) - 2019
- [j11]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): 44-54 (2019) - [j10]Zhaoqiang Xia, Jie Lin, Xiaoyi Feng:
Trademark image retrieval via transformation-invariant deep hashing. J. Vis. Commun. Image Represent. 59: 108-116 (2019) - [j9]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): 388-401 (2019) - 2017
- [j8]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): 1472-1479 (2017) - [j7]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: 40-49 (2017) - [j6]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): 545-557 (2017) - [j5]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): 1968-1983 (2017) - 2016
- [j4]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: 426-439 (2016) - [j3]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): 179-194 (2016) - 2015
- [j2]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): 828-842 (2015) - 2014
- [j1]Ling-Yu Duan, Jie Lin, Jie Chen, Tiejun Huang, Wen Gao:
Compact Descriptors for Visual Search. IEEE Multim. 21(3): 30-40 (2014)
Conference and Workshop Papers
- 2022
- [c50]Fayao Liu, Guosheng Lin, Chuan-Sheng Foo, Chaitanya K. Joshi, Jie Lin:
Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis. 3DV 2022: 42-51 - [c49]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: 96-99 - [c48]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: 157-172 - 2021
- [c47]Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin:
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization. AAAI 2021: 7780-7788 - [c46]Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin:
Learning Cross-Modal Retrieval With Noisy Labels. CVPR 2021: 5403-5413 - [c45]Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly:
PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery. CVPR 2021: 15840-15848 - [c44]Chunyun Chen, Zhe Wang, Xiaowei Chen, Jie Lin, Mohamed M. Sabry Aly:
Efficient Tunstall Decoder for Deep Neural Network Compression. DAC 2021: 1021-1026 - [c43]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: 253-262 - [c42]Huijing Zhan, Jie Lin:
PAN: Personalized Attention Network For Outfit Recommendation. ICIP 2021: 2663-2667 - 2020
- [c41]Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin:
Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition. AAAI 2020: 99-106 - [c40]Xue Geng, Jie Lin, Shaohua Li:
Cascaded Mixed-Precision Networks. ICIP 2020: 241-245 - [c39]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: 2267-2273 - 2019
- [c38]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: 9356-9364 - [c37]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: 574 - [c36]Zhuo Chen, Jie Lin, Zhe Wang, Vijay Chandrasekhar, Weisi Lin:
Beyond Ranking Loss: Deep Holographic Networks for Multi-Label Video Search. ICIP 2019: 879-883 - [c35]Wang Zhe, Jie Lin, Vijay Chandrasekhar, Bernd Girod:
Optimizing the Bit Allocation for Compression of Weights and Activations of Deep Neural Networks. ICIP 2019: 3826-3830 - [c34]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: 1-6 - 2018
- [c33]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: 107-122 - [c32]Ziqian Chen, Jie Lin, Vijay Chandrasekhar, Ling-Yu Duan:
Gated Square-Root Pooling for Image Instance Retrieval. ICIP 2018: 1982-1986 - 2017
- [c31]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 - [c30]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 - [c29]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: 300-309 - [c28]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: 420-429 - [c27]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: 380-384 - [c26]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: 1117-1121 - [c25]Kingsley Kuan, Gaurav Manek, Jie Lin, Yuan Fang, Vijay Chandrasekhar:
Region average pooling for context-aware object detection. ICIP 2017: 1347-1351 - [c24]Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar:
Object Detection Meets Knowledge Graphs. IJCAI 2017: 1661-1667 - [c23]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: 133-141 - [c22]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: 260-268 - [c21]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 - [c20]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 - 2016
- [c19]Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard:
Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing. DCC 2016: 397-406 - [c18]Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin:
Egocentric activity recognition with multimodal fisher vector. ICASSP 2016: 2717-2721 - 2015
- [c17]Jie Lin, Zhe Wang, Yitong Wang, Vijay Chandrasekhar, Liyuan Li:
Selective aggregated descriptors for robust mobile image retrieval. APSIPA 2015: 169-177 - [c16]Vijay Chandrasekhar, Jie Lin, Olivier Morère, Antoine Veillard, Hanlin Goh:
Compact Global Descriptors for Visual Search. DCC 2015: 333-342 - [c15]Zhe Wang, Ling-Yu Duan, Jie Lin, Jie Chen, Tiejun Huang, Wen Gao:
Optimizing Binary Fisher Codes for Visual Search. DCC 2015: 475 - [c14]Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin:
Co-regularized deep representations for video summarization. ICIP 2015: 3165-3169 - [c13]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: 3822-3826 - [c12]Yitong Wang, Ling-Yu Duan, Jie Lin, Zhe Wang, Tiejun Huang:
Hierarchical multi-VLAD for image retrieval. ICIP 2015: 4629-4633 - [c11]Zhe Wang, Ling-Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang, Wen Gao:
Hamming Compatible Quantization for Hashing. IJCAI 2015: 2298-2304 - 2014
- [c10]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: 2217-2221 - [c9]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: 3978-3982 - 2013
- [c8]Jie Lin, Ling-Yu Duan, Tiejun Huang, Wen Gao:
Robust fisher codes for large scale image retrieval. ICASSP 2013: 1513-1517 - [c7]Jie Chen, Ling-Yu Duan, Jie Lin, Rongrong Ji, Tiejun Huang, Wen Gao:
On the interoperability of local descriptors compression. ICASSP 2013: 1518-1522 - [c6]Shuang Yang, Ling-Yu Duan, Jie Lin, Tiejun Huang:
A novel pair-wise image matching strategy with compact descriptors. ICIP 2013: 2572-2576 - [c5]Ling-Yu Duan, Feng Gao, Jie Chen, Jie Lin, Tiejun Huang:
Compact descriptors for mobile visual search and MPEG CDVS standardization. ISCAS 2013: 885-888 - 2012
- [c4]Jie Lin, Ling-Yu Duan, Jie Chen, Rongrong Ji, Siwei Luo, Wen Gao:
Learning multiple codebooks for low bit rate mobile visual search. ICASSP 2012: 933-936 - [c3]Bing Li, Ling-Yu Duan, Jie Lin, Tiejun Huang:
Allocating images and selecting image collections for distributed visual search. ICIMCS 2012: 127-131 - [c2]Jie Lin, Ling-Yu Duan, Junsong Yuan, Qingyong Li, Siwei Luo:
Learning sparse tag patterns for social image classification. ICIP 2012: 2881-2884 - [c1]Jie Lin, Junsong Yuan, Ling-Yu Duan, Siwei Luo, Wen Gao:
Social Image Tagging by Mining Sparse Tag Patterns from Auxiliary Data. ICME 2012: 7-12
Informal and Other Publications
- 2024
- [i32]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 abs/2405.06038 (2024) - 2023
- [i31]Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen:
Unlimited Knowledge Distillation for Action Recognition in the Dark. CoRR abs/2308.09327 (2023) - [i30]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 abs/2308.10438 (2023) - [i29]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 abs/2309.07186 (2023) - 2022
- [i28]Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin:
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization. CoRR abs/2205.11141 (2022) - [i27]Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin:
Long-tailed Recognition by Learning from Latent Categories. CoRR abs/2206.01010 (2022) - [i26]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 abs/2209.14624 (2022) - 2021
- [i25]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 abs/2101.04859 (2021) - [i24]Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly:
PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery. CoRR abs/2105.12990 (2021) - [i23]Weide Liu, Zhonghua Wu, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin:
Few-Shot Segmentation with Global and Local Contrastive Learning. CoRR abs/2108.05293 (2021) - [i22]Chaitanya K. Joshi, Fayao Liu, Xu Xun, Jie Lin, Chuan-Sheng Foo:
On Representation Knowledge Distillation for Graph Neural Networks. CoRR abs/2111.04964 (2021) - 2020
- [i21]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 abs/2004.08861 (2020) - [i20]Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Jie Lin:
Learning to Prune Deep Neural Networks via Reinforcement Learning. CoRR abs/2007.04756 (2020) - 2019
- [i19]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 abs/1901.02064 (2019) - [i18]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 abs/1901.10074 (2019) - [i17]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 abs/1909.07541 (2019) - 2018
- [i16]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 abs/1811.00778 (2018) - [i15]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 abs/1811.12065 (2018) - [i14]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: 1056 (2018) - 2017
- [i13]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 abs/1701.04923 (2017) - [i12]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 abs/1704.08141 (2017) - [i11]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 abs/1705.09435 (2017) - [i10]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 abs/1706.05461 (2017) - [i9]Gaurav Manek, Jie Lin, Vijay Chandrasekhar, Lingyu Duan, Sateesh Giduthuri, Xiaoli Li, Tomaso A. Poggio:
Pruning Convolutional Neural Networks for Image Instance Retrieval. CoRR abs/1707.05455 (2017) - [i8]Fang Yuan, Zhe Wang, Jie Lin, Luis Fernando D'Haro, Jung-Jae Kim, Zeng Zeng, Vijay Chandrasekhar:
End-to-End Video Classification with Knowledge Graphs. CoRR abs/1711.01714 (2017) - 2016
- [i7]Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso A. Poggio:
Group Invariant Deep Representations for Image Instance Retrieval. CoRR abs/1601.02093 (2016) - [i6]Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin:
Egocentric Activity Recognition with Multimodal Fisher Vector. CoRR abs/1601.06603 (2016) - [i5]Olivier Morère, Jie Lin, Antoine Veillard, Vijay Chandrasekhar:
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. CoRR abs/1603.04595 (2016) - 2015
- [i4]Jie Lin, Olivier Morère, Vijay Chandrasekhar, Antoine Veillard, Hanlin Goh:
DeepHash: Getting Regularization, Depth and Fine-Tuning Right. CoRR abs/1501.04711 (2015) - [i3]Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin:
Co-Regularized Deep Representations for Video Summarization. CoRR abs/1501.07738 (2015) - [i2]Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard:
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval. CoRR abs/1508.02496 (2015) - [i1]Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard:
Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing. CoRR abs/1511.03055 (2015)
Coauthor Index
Vijay Chandrasekhar 0001
aka: Vijay Ramaseshan Chandrasekhar
aka: Vijay Ramaseshan Chandrasekhar
[j15] [j11] [j9] [j8] [j7] [j5] [j4] [j3] [c48] [c43] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c14] [i25] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
Ling-Yu Duan
aka: Lingyu Duan
aka: Lingyu Duan
Mohamed M. Sabry
aka: Mohamed M. Sabry Aly
aka: Mohamed M. Sabry Aly
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-09 06:35 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
