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2020 – today
- 2022
[j40]Wen-Yan Lin
, Siying Liu, Changhao Ren, Ngai-Man Cheung, Hongdong Li, Yasuyuki Matsushita:
Shell Theory: A Statistical Model of Reality. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6438-6453 (2022)- [j39]Penny Chong, Ngai-Man Cheung, Yuval Elovici, Alexander Binder:
Toward Scalable and Unified Example-Based Explanation and Outlier Detection. IEEE Trans. Image Process. 31: 525-540 (2022) - [c106]Thilini Cooray, Ngai-Man Cheung:
Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning. AAAI 2022: 6420-6428 - [c105]Yunqing Zhao, Henghui Ding, Houjing Huang, Ngai-Man Cheung:
A Closer Look at Few-shot Image Generation. CVPR 2022: 9130-9140 - [c104]Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung:
Discovering Transferable Forensic Features for CNN-Generated Images Detection. ECCV (15) 2022: 671-689 - [c103]Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Yunqing Zhao, Ngai-Man Cheung:
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? ICML 2022: 2890-2916 - [c102]Yupeng Zhang, Lingjie Duan, Ngai-Man Cheung:
Accelerating Federated Learning on Non-IID Data Against Stragglers. SECON Workshops 2022: 43-48 - [i58]Yunqing Zhao, Henghui Ding, Houjing Huang, Ngai-Man Cheung:
A Closer Look at Few-shot Image Generation. CoRR abs/2205.03805 (2022) - [i57]Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Yunqing Zhao, Ngai-Man Cheung:
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? CoRR abs/2206.14532 (2022) - [i56]Evan C. Ehrenberg, Kleovoulos Leo Tsourides, Hossein Nejati, Ngai-Man Cheung, Pawan Sinha:
Neural Correlates of Face Familiarity Perception. CoRR abs/2208.00352 (2022) - [i55]Yunqing Zhao, Ngai-Man Cheung:
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification. CoRR abs/2208.10930 (2022) - [i54]Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung:
Discovering Transferable Forensic Features for CNN-generated Images Detection. CoRR abs/2208.11342 (2022) - [i53]Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung:
Few-shot Image Generation via Adaptation-Aware Kernel Modulation. CoRR abs/2210.16559 (2022) - [i52]Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung:
Fair Generative Models via Transfer Learning. CoRR abs/2212.00926 (2022) - 2021
- [j38]Rui Liu, Ngai-Man Cheung:
Joint estimation of low-rank components and connectivity graph in high-dimensional graph signals: Application to brain imaging. Signal Process. 182: 107931 (2021) - [j37]Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Trung-Kien Nguyen, Ngai-Man Cheung:
On Data Augmentation for GAN Training. IEEE Trans. Image Process. 30: 1882-1897 (2021) - [c101]Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Ngai-Man Cheung:
A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection. CVPR 2021: 7200-7209 - [c100]Shahram Ghahremani, David K. Y. Yau, Justin Albrethsen, Rajvir Sidhu, Ngai-Man Cheung:
Time Delay Attack Detection Using Recurrent Variational Autoencoder and K-means Clustering. ISGT Asia 2021: 1-5 - [c99]Milad Abdollahzadeh, Touba Malekzadeh, Ngai-Man Cheung:
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning. NeurIPS 2021: 14632-14644 - [c98]Shahram Ghahremani, Rajvir Sidhu, David K. Y. Yau, Ngai-Man Cheung, Justin Albrethsen:
Defense against Power System Time Delay Attacks via Attention-based Multivariate Deep Learning. SmartGridComm 2021: 115-120 - [c97]Kwot Sin Lee, Ngoc-Trung Tran, Ngai-Man Cheung:
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning. WACV 2021: 3941-3951 - [i51]Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Ngai-Man Cheung:
A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection. CoRR abs/2103.17195 (2021) - [i50]Christopher T. H. Teo, Ngai-Man Cheung:
Measuring Fairness in Generative Models. CoRR abs/2107.07754 (2021) - [i49]Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Ngai-Man Cheung, Yuval Elovici, Alexander Binder:
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples. CoRR abs/2110.12357 (2021) - [i48]Milad Abdollahzadeh, Touba Malekzadeh, Ngai-Man Cheung:
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning. CoRR abs/2110.14202 (2021) - [i47]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. CoRR abs/2112.06489 (2021) - [i46]Thilini Cooray, Ngai-Man Cheung:
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning. CoRR abs/2112.08830 (2021) - 2020
- [j36]Tuan Hoang, Thanh-Toan Do, Huu Le, Dang-Khoa Le Tan, Ngai-Man Cheung:
Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing. Comput. Vis. Image Underst. 191: 102852 (2020) - [j35]Saeid Hosseini, Saeed Najafi Pour, Ngai-Man Cheung, Hongzhi Yin, Mohammad Reza Kangavari, Xiaofang Zhou:
TEAGS: time-aware text embedding approach to generate subgraphs. Data Min. Knowl. Discov. 34(4): 1136-1174 (2020) - [j34]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Unsupervised Deep Cross-modality Spectral Hashing. IEEE Trans. Image Process. 29: 8391-8406 (2020) - [j33]Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Anh-Dzung Doan, Ngai-Man Cheung:
Compact Hash Code Learning With Binary Deep Neural Network. IEEE Trans. Multim. 22(4): 992-1004 (2020) - [c96]Thilini Cooray, Ngai-Man Cheung, Wei Lu:
Attention-Based Context Aware Reasoning for Situation Recognition. CVPR 2020: 4735-4744 - [c95]Yiluan Guo, Ngai-Man Cheung:
Attentive Weights Generation for Few Shot Learning via Information Maximization. CVPR 2020: 13496-13505 - [c94]Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder:
Explanation-Guided Training for Cross-Domain Few-Shot Classification. ICPR 2020: 7609-7616 - [c93]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. IJCAI 2020: 2111-2118 - [c92]Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung, Michael Riegler, Jan Zahálka:
Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval. ACM Multimedia 2020: 4448-4452 - [i45]Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Trung-Kien Nguyen, Ngai-Man Cheung:
Towards Good Practices for Data Augmentation in GAN Training. CoRR abs/2006.05338 (2020) - [i44]Kwot Sin Lee, Ngoc-Trung Tran, Ngai-Man Cheung:
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning. CoRR abs/2007.04589 (2020) - [i43]Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder:
Explanation-Guided Training for Cross-Domain Few-Shot Classification. CoRR abs/2007.08790 (2020) - [i42]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Unsupervised Deep Cross-modality Spectral Hashing. CoRR abs/2008.00223 (2020) - [i41]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. CoRR abs/2012.13762 (2020)
2010 – 2019
- 2019
- [j32]Leila Khalatbari, Mohammadreza Kangavari, Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung:
MCP: A multi-component learning machine to predict protein secondary structure. Comput. Biol. Medicine 110: 144-155 (2019) - [j31]Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan, Thanh-Toan Do, Tuan-Anh Bui, Mengxuan Tan, Ngai-Man Cheung:
On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC. IEEE Trans. Image Process. 28(4): 1675-1690 (2019) - [j30]Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung:
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. IEEE Trans. Image Process. 28(10): 4954-4969 (2019) - [j29]Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Huu Le, Tam V. Nguyen, Ngai-Man Cheung:
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 15(2): 43:1-43:22 (2019) - [j28]Saeid Hosseini, Hongzhi Yin, Xiaofang Zhou, Shazia W. Sadiq, Mohammad Reza Kangavari, Ngai-Man Cheung:
Leveraging multi-aspect time-related influence in location recommendation. World Wide Web 22(3): 1001-1028 (2019) - [c91]Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung:
Improving GAN with Neighbors Embedding and Gradient Matching. AAAI 2019: 5191-5198 - [c90]Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung:
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences. CVPR 2019: 124-133 - [c89]Linxiao Yang, Ngai-Man Cheung, Jiaying Li, Jun Fang:
Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding. ICCV 2019: 6439-6448 - [c88]Heng Zhao, Kim-Hui Yap, Alex C. Kot, Lingyu Duan, Ngai-Man Cheung:
Few-Shot and Many-Shot Fusion Learning in Mobile Visual Food Recognition. ISCAS 2019: 1-5 - [c87]Mengxuan Tan, Alfonso Iacovazzi, Ngai-Man Cheung, Yuval Elovici:
A Neural Attention Model for Real-Time Network Intrusion Detection. LCN 2019: 291-299 - [c86]Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Linxiao Yang, Ngai-Man Cheung:
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game. NeurIPS 2019: 13232-13243 - [c85]Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid:
Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation. WACV 2019: 695-704 - [i40]Mostafa Rezazad, Matthias R. Brust, Mohammad Akbari, Pascal Bouvry, Ngai-Man Cheung:
Detecting Target-Area Link-Flooding DDoS Attacks using Traffic Analysis and Supervised Learning. CoRR abs/1903.01550 (2019) - [i39]Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung:
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences. CoRR abs/1904.03483 (2019) - [i38]Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung:
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. CoRR abs/1904.11820 (2019) - [i37]Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Ngai-Man Cheung:
An Improved Self-supervised GAN via Adversarial Training. CoRR abs/1905.05469 (2019) - [i36]Saeid Hosseini, Saeed Najafi Pour, Ngai-Man Cheung, Mohammad Reza Kangavari, Xiaofang Zhou, Yuval Elovici:
TEALS: Time-aware Text Embedding Approach to Leverage Subgraphs. CoRR abs/1907.03191 (2019) - [i35]Hamed Alizadeh Ghazijahani, Hadi Seyedarabi, Javad Musevi Niya, Ngai-Man Cheung:
Optimized Routing and Spectrum Assignment for Video Communication over an Elastic Optical Network. CoRR abs/1909.06536 (2019) - [i34]Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Linxiao Yang, Ngai-Man Cheung:
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game. CoRR abs/1911.06997 (2019) - 2018
- [j27]Milad Abdollahzadeh, Hadi Seyedarabi, Javad Musevi Niya, Ngai-Man Cheung:
Optimal HEVC Configuration for Wireless Video Communication Under Energy Constraints. IEEE Access 6: 72479-72493 (2018) - [j26]Thanh-Toan Do, Ngai-Man Cheung:
Embedding Based on Function Approximation for Large Scale Image Search. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 626-638 (2018) - [j25]Yiren Zhou, Thanh-Toan Do, Haitian Zheng, Ngai-Man Cheung, Lu Fang:
Computation and Memory Efficient Image Segmentation. IEEE Trans. Circuits Syst. Video Technol. 28(1): 46-61 (2018) - [j24]Thanh-Toan Do, Tuan Hoang, Victor Pomponiu, Yiren Zhou, Zhao Chen, Ngai-Man Cheung, Dawn Chin-Ing Koh, Aaron Tan, Suat-Hoon Tan:
Accessible Melanoma Detection Using Smartphones and Mobile Image Analysis. IEEE Trans. Multim. 20(10): 2849-2864 (2018) - [j23]Manas Khatua, Seyed Hamid Safavi, Ngai-Man Cheung:
Sparse Laplacian Component Analysis for Internet Traffic Anomalies Detection. IEEE Trans. Signal Inf. Process. over Networks 4(4): 697-711 (2018) - [c84]Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard:
Adaptive Quantization for Deep Neural Network. AAAI 2018: 4596-4604 - [c83]Hadi Mohammadzadeh Abachi, Saeid Hosseini, Mojtaba Amiri Maskouni, Mohammadreza Kangavari, Ngai-Man Cheung:
Statistical Discretization of Continuous Attributes Using Kolmogorov-Smirnov Test. ADC 2018: 309-315 - [c82]Yiluan Guo, Ngai-Man Cheung:
Efficient and Deep Person Re-Identification Using Multi-Level Similarity. CVPR 2018: 2335-2344 - [c81]Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung:
DeepVQ: A Deep Network Architecture for Vector Quantization. CVPR Workshops 2018: 2579-2582 - [c80]Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung, Kan Pak Leng, Yuval Elovici, Xiaofang Zhou:
Exploiting Reshaping Subgraphs from Bilateral Propagation Graphs. DASFAA (1) 2018: 342-351 - [c79]Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung:
Dist-GAN: An Improved GAN Using Distance Constraints. ECCV (14) 2018: 387-401 - [c78]Hossein Nejati, Hamed Alizadeh Ghazijahani, Milad Abdollahzadeh, Touba Malekzadeh, Ngai-Man Cheung, Kheng Hock Lee, Lian Leng Low:
Fine-Grained Wound Tissue Analysis Using Deep Neural Network. ICASSP 2018: 1010-1014 - [c77]Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici:
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN. ICDM 2018: 1122-1127 - [c76]Dang-Khoa Le Tan, Thanh-Toan Do, Ngai-Man Cheung:
Supervised Hashing with End-to-End Binary Deep Neural Network. ICIP 2018: 3019-3023 - [c75]Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal:
Deep Adaptive Temporal Pooling for Activity Recognition. ACM Multimedia 2018: 1829-1837 - [i33]Saurabh Misra, Mengxuan Tan, Mostafa Rezazad, Ngai-Man Cheung:
Early detection of Crossfire attacks using deep learning. CoRR abs/1801.00235 (2018) - [i32]Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Ngai-Man Cheung:
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. CoRR abs/1802.02899 (2018) - [i31]Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan, Thanh-Toan Do, Tuan-Anh Bui, Ngai-Man Cheung:
On-device Scalable Image-based Localization. CoRR abs/1802.03510 (2018) - [i30]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing. CoRR abs/1802.06645 (2018) - [i29]Thanh-Toan Do, Dang-Khoa Le Tan, Trung Pham, Tuan Hoang, Ngai-Man Cheung:
Binary Constrained Deep Hashing Network for Image Retrieval without Human Intervention. CoRR abs/1802.07437 (2018) - [i28]Hossein Nejati, Hamed Alizadeh Ghazijahani, Milad Abdollahzadeh, Tooba Malekzadeh, Ngai-Man Cheung, Kheng Hock Lee, Lian Leng Low:
Fine-grained wound tissue analysis using deep neural network. CoRR abs/1802.10426 (2018) - [i27]Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung:
Generative Adversarial Autoencoder Networks. CoRR abs/1803.08887 (2018) - [i26]Yiluan Guo, Ngai-Man Cheung:
Efficient and Deep Person Re-Identification using Multi-Level Similarity. CoRR abs/1803.11353 (2018) - [i25]Leila Khalatbari, Mohammadreza Kangavari, Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung:
MCP: a multi-component learning machine for prediction of protein secondary structure. CoRR abs/1806.06394 (2018) - [i24]Sibo Song, Yueru Chen, Ngai-Man Cheung, C.-C. Jay Kuo:
Defense Against Adversarial Attacks with Saak Transform. CoRR abs/1808.01785 (2018) - [i23]Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal:
Deep Adaptive Temporal Pooling for Activity Recognition. CoRR abs/1808.07272 (2018) - [i22]Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici:
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN. CoRR abs/1808.07632 (2018) - [i21]Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung:
Improving GAN with neighbors embedding and gradient matching. CoRR abs/1811.01333 (2018) - 2017
- [j22]Jiyan Wu, Chau Yuen, Ngai-Man Cheung, Junliang Chen, Chang Wen Chen:
Streaming Mobile Cloud Gaming Video Over TCP With Adaptive Source-FEC Coding. IEEE Trans. Circuits Syst. Video Technol. 27(1): 32-48 (2017) - [c74]Thanh-Toan Do, Dang-Khoa Le Tan, Trung T. Pham, Ngai-Man Cheung:
Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search. CVPR 2017: 4217-4226 - [c73]Manas Khatua, Seyed Hamid Safavi, Ngai-Man Cheung:
Detection of Internet Traffic Anomalies Using Sparse Laplacian Component Analysis. GLOBECOM 2017: 1-6 - [c72]Yiren Zhou, Sibo Song, Ngai-Man Cheung:
On classification of distorted images with deep convolutional neural networks. ICASSP 2017: 1213-1217 - [c71]Liu Rui, Hossein Nejati, Seyed Hamid Safavi, Ngai-Man Cheung:
Simultaneous low-rank component and graph estimation for high-dimensional graph signals: Application to brain imaging. ICASSP 2017: 4134-4138 - [c70]Xin Sun, Ngai-Man Cheung, Hongxun Yao, Yiluan Guo:
Non-rigid Object Tracking via Deformable Patches Using Shape-Preserved KCF and Level Sets. ICCV 2017: 5496-5504 - [c69]Yiluan Guo, Hossein Nejati, Ngai-Man Cheung:
Deep neural networks on graph signals for brain imaging analysis. ICIP 2017: 3295-3299 - [c68]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Enhancing feature discrimination for unsupervised hashing. ICIP 2017: 3710-3714 - [c67]Teoh Teik Toe, Y. Y. Nguwi, Yuval Elovici, Ngai-Man Cheung, W. L. Ng:
Analyst intuition based Hidden Markov Model on high speed, temporal cyber security big data. ICNC-FSKD 2017: 2080-2083 - [c66]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Selective Deep Convolutional Features for Image Retrieval. ACM Multimedia 2017: 1600-1608 - [c65]Xin Sun, Jiatao Ding, Giacomo Dalla Chiara, Lynette Cheah, Ngai-Man Cheung:
A generic framework for monitoring local freight traffic movements using computer vision-based techniques. MT-ITS 2017: 63-68 - [c64]Bree J. Westphal, Hyowon Lee, Ngai-Man Cheung, Chor Guan Teo, Wei Kiat Leong:
Experience of designing and deploying a tablet game for people with dementia. OZCHI 2017: 31-40 - [i20]Yiren Zhou, Sibo Song, Ngai-Man Cheung:
On Classification of Distorted Images with Deep Convolutional Neural Networks. CoRR abs/1701.01924 (2017) - [i19]Thanh-Toan Do, Dang-Khoa Le Tan, Trung T. Pham, Ngai-Man Cheung:
Simultaneous Feature Aggregating and Hashing for Large-scale Image Search. CoRR abs/1704.00860 (2017) - [i18]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Enhance Feature Discrimination for Unsupervised Hashing. CoRR abs/1704.01754 (2017) - [i17]Yiluan Guo, Hossein Nejati, Ngai-Man Cheung:
Deep neural networks on graph signals for brain imaging analysis. CoRR abs/1705.04828 (2017) - [i16]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) - [i15]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Selective Deep Convolutional Features for Image Retrieval. CoRR abs/1707.00809 (2017) - [i14]Dang-Khoa Le Tan, Thanh-Toan Do, Ngai-Man Cheung:
Supervised Hashing with End-to-End Binary Deep Neural Network. CoRR abs/1711.08901 (2017) - [i13]Thanh-Toan Do, Victor Pomponiu, Yiren Zhou, Tuan Hoang, Zhao Chen, Ngai-Man Cheung, Dawn Chin-Ing Koh, Aaron Tan, Suat-Hoon Tan:
Accessible Melanoma Detection using Smartphones and Mobile Image Analysis. CoRR abs/1711.09553 (2017) - [i12]Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard:
Adaptive Quantization for Deep Neural Network. CoRR abs/1712.01048 (2017) - [i11]Thanh-Toan Do, Dang-Khoa Le Tan, Tuan Hoang, Ngai-Man Cheung:
Compact Hash Code Learning with Binary Deep Neural Network. CoRR abs/1712.02956 (2017) - [i10]Touba Malekzadeh, Milad Abdollahzadeh, Hossein Nejati, Ngai-Man Cheung:
Aircraft Fuselage Defect Detection using Deep Neural Networks. CoRR abs/1712.09213 (2017) - 2016
- [j21]Hossein Nejati, Victor Pomponiu, Thanh-Toan Do, Yiren Zhou, Sahar Iravani, Ngai-Man Cheung:
Smartphone and Mobile Image Processing for Assisted Living: Health-monitoring apps powered by advanced mobile imaging algorithms. IEEE Signal Process. Mag. 33(4): 30-48 (2016) - [j20]Jiyan Wu, Bo Cheng, Chau Yuen, Ngai-Man Cheung, Junliang Chen:
Trading Delay for Distortion in One-Way Video Communication Over the Internet. IEEE Trans. Circuits Syst. Video Technol. 26(4): 711-723 (2016) - [j19]Lu Fang, Yijian Xiang, Ngai-Man Cheung, Feng Wu:
Estimation of Virtual View Synthesis Distortion Toward Virtual View Position. IEEE Trans. Image Process. 25(5): 1961-1976 (2016) - [j18]Seong-Ping Chuah, Ngai-Man Cheung, Chau Yuen:
Layered Coding for Mobile Cloud Gaming Using Scalable Blinn-Phong Lighting. IEEE Trans. Image Process. 25(7): 3112-3125 (2016) - [j17]