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2020 – today
- 2025
[i74]Sy-Tuyen Ho, Tuan Van Vo, Somayeh Ebrahimkhani, Ngai-Man Cheung:
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights. CoRR abs/2501.03782 (2025)- 2024
- [j43]Siyang Dai
, Jun Liu, Ngai-Man Cheung:
Uncertainty-Aware Pedestrian Crossing Prediction via Reinforcement Learning. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9540-9549 (2024) - [c120]Sy-Tuyen Ho, Koh Jun Hao, Keshigeyan Chandrasegaran, Ngoc-Bao Nguyen, Ngai-Man Cheung:
Model Inversion Robustness: Can Transfer Learning Help? CVPR 2024: 12183-12193 - [c119]Siyang Dai, Jun Liu, Ngai-Man Cheung:
Referring Expression Counting. CVPR 2024: 16985-16995 - [c118]Koh Jun Hao, Sy-Tuyen Ho, Ngoc-Bao Nguyen, Ngai-Man Cheung:
On the Vulnerability of Skip Connections to Model Inversion Attacks. ECCV (81) 2024: 140-157 - [c117]Chandler Timm C. Doloriel, Ngai-Man Cheung:
Frequency Masking for Universal Deepfake Detection. ICASSP 2024: 13466-13470 - [c116]Sy-Tuyen Ho, Tuan Van Vo, Somayeh Ebrahimkhani, Ngai-Man Cheung:
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights. NeurIPS 2024 - [c115]Christopher T. H. Teo, Milad Abdollahzadeh, Xinda Ma, Ngai-Man Cheung:
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation. NeurIPS 2024 - [i73]Chandler Timm C. Doloriel, Ngai-Man Cheung:
Frequency Masking for Universal Deepfake Detection. CoRR abs/2401.06506 (2024) - [i72]Sy-Tuyen Ho, Koh Jun Hao, Keshigeyan Chandrasegaran, Ngoc-Bao Nguyen, Ngai-Man Cheung:
Model Inversion Robustness: Can Transfer Learning Help? CoRR abs/2405.05588 (2024) - [i71]Viet-Hung Tran, Ngoc-Bao Nguyen, Son T. Mai, Hans Vandierendonck, Ngai-Man Cheung:
Defending against Model Inversion Attacks via Random Erasing. CoRR abs/2409.01062 (2024) - [i70]Koh Jun Hao, Sy-Tuyen Ho, Ngoc-Bao Nguyen, Ngai-Man Cheung:
On the Vulnerability of Skip Connections to Model Inversion Attacks. CoRR abs/2409.01696 (2024) - [i69]Christopher T. H. Teo, Milad Abdollahzadeh, Xinda Ma, Ngai-Man Cheung:
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation. CoRR abs/2410.18615 (2024) - [i68]Tri Cao, Minh-Huy Trinh, Ailin Deng, Quoc-Nam Nguyen, Khoa Duong, Ngai-Man Cheung, Bryan Hooi:
Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection. CoRR abs/2411.14515 (2024) - [i67]Siyang Dai, Jun Liu, Ngai-Man Cheung:
Urban Air Temperature Prediction using Conditional Diffusion Models. CoRR abs/2412.13504 (2024) - [i66]Robert Wijaya, Ngoc-Bao Nguyen, Ngai-Man Cheung:
Multimodal Preference Data Synthetic Alignment with Reward Model. CoRR abs/2412.17417 (2024) - 2023
- [j42]Yunqing Zhao, Ngai-Man Cheung:
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification. IEEE Trans. Image Process. 32: 2252-2266 (2023) - [j41]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6289-6302 (2023) - [c114]Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung:
Fair Generative Models via Transfer Learning. AAAI 2023: 2429-2437 - [c113]Yunqing Zhao, Chao Du, Milad Abdollahzadeh, Tianyu Pang, Min Lin, Shuicheng Yan, Ngai-Man Cheung:
Exploring Incompatible Knowledge Transfer in Few-shot Image Generation. CVPR 2023: 7380-7391 - [c112]Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung:
Re-Thinking Model Inversion Attacks Against Deep Neural Networks. CVPR 2023: 16384-16393 - [c111]Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung:
Label-Only Model Inversion Attacks via Knowledge Transfer. NeurIPS 2023 - [c110]Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung:
On Measuring Fairness in Generative Models. NeurIPS 2023 - [c109]Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, Min Lin:
On Evaluating Adversarial Robustness of Large Vision-Language Models. NeurIPS 2023 - [i65]Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Ngai-Man Cheung, Min Lin:
A Recipe for Watermarking Diffusion Models. CoRR abs/2303.10137 (2023) - [i64]Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung:
Re-thinking Model Inversion Attacks Against Deep Neural Networks. CoRR abs/2304.01669 (2023) - [i63]Yunqing Zhao, Chao Du, Milad Abdollahzadeh, Tianyu Pang, Min Lin, Shuicheng Yan, Ngai-Man Cheung:
Exploring Incompatible Knowledge Transfer in Few-shot Image Generation. CoRR abs/2304.07574 (2023) - [i62]Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, Min Lin:
On Evaluating Adversarial Robustness of Large Vision-Language Models. CoRR abs/2305.16934 (2023) - [i61]Milad Abdollahzadeh, Touba Malekzadeh, Christopher T. H. Teo, Keshigeyan Chandrasegaran, Guimeng Liu, Ngai-Man Cheung:
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot. CoRR abs/2307.14397 (2023) - [i60]Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung:
On Measuring Fairness in Generative Models. CoRR abs/2310.19297 (2023) - [i59]Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung:
Label-Only Model Inversion Attacks via Knowledge Transfer. CoRR abs/2310.19342 (2023) - 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) - [c108]Thilini Cooray, Ngai-Man Cheung:
Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning. AAAI 2022: 6420-6428 - [c107]Yunqing Zhao, Henghui Ding, Houjing Huang, Ngai-Man Cheung:
A Closer Look at Few-shot Image Generation. CVPR 2022: 9130-9140 - [c106]Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung:
Discovering Transferable Forensic Features for CNN-Generated Images Detection. ECCV (15) 2022: 671-689 - [c105]Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Yunqing Zhao, Ngai-Man Cheung:
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? ICML 2022: 2890-2916 - [c104]Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung:
Few-shot Image Generation via Adaptation-Aware Kernel Modulation. NeurIPS 2022 - [c103]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) - [c102]Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Ngai-Man Cheung:
A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection. CVPR 2021: 7200-7209 - [c101]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 - [c100]Milad Abdollahzadeh, Touba Malekzadeh, Ngai-Man Cheung:
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning. NeurIPS 2021: 14632-14644 - [c99]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 - [c98]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) - [c97]Thilini Cooray, Ngai-Man Cheung, Wei Lu:
Attention-Based Context Aware Reasoning for Situation Recognition. CVPR 2020: 4735-4744 - [c96]Yiluan Guo, Ngai-Man Cheung:
Attentive Weights Generation for Few Shot Learning via Information Maximization. CVPR 2020: 13496-13505 - [c95]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 - [c94]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 - [c93]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 Sadiq, Mohammad Reza Kangavari, Ngai-Man Cheung:
Leveraging multi-aspect time-related influence in location recommendation. World Wide Web 22(3): 1001-1028 (2019) - [c92]Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung:
Improving GAN with Neighbors Embedding and Gradient Matching. AAAI 2019: 5191-5198 - [c91]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 - [c90]Linxiao Yang, Ngai-Man Cheung, Jiaying Li, Jun Fang:
Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding. ICCV 2019: 6439-6448 - [c89]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 - [c88]Mengxuan Tan, Alfonso Iacovazzi, Ngai-Man Cheung, Yuval Elovici:
A Neural Attention Model for Real-Time Network Intrusion Detection. LCN 2019: 291-299 - [c87]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 - [c86]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) - [c85]Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard:
Adaptive Quantization for Deep Neural Network. AAAI 2018: 4596-4604 - [c84]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 - [c83]Yiluan Guo, Ngai-Man Cheung:
Efficient and Deep Person Re-Identification Using Multi-Level Similarity. CVPR 2018: 2335-2344 - [c82]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 - [c81]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 - [c80]Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung:
Dist-GAN: An Improved GAN Using Distance Constraints. ECCV (14) 2018: 387-401 - [c79]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 - [c78]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 - [c77]Dang-Khoa Le Tan, Thanh-Toan Do, Ngai-Man Cheung:
Supervised Hashing with End-to-End Binary Deep Neural Network. ICIP 2018: 3019-3023 - [c76]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) - [c75]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 - [c74]Manas Khatua, Seyed Hamid Safavi, Ngai-Man Cheung:
Detection of Internet Traffic Anomalies Using Sparse Laplacian Component Analysis. GLOBECOM 2017: 1-6 - [c73]Yiren Zhou, Sibo Song, Ngai-Man Cheung:
On classification of distorted images with deep convolutional neural networks. ICASSP 2017: 1213-1217 - [c72]Rui Liu, 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 - [c71]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 - [c70]Yiluan Guo, Hossein Nejati, Ngai-Man Cheung:
Deep neural networks on graph signals for brain imaging analysis. ICIP 2017: 3295-3299 - [c69]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Enhancing feature discrimination for unsupervised hashing. ICIP 2017: 3710-3714 - [c68]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 - [c67]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Selective Deep Convolutional Features for Image Retrieval. ACM Multimedia 2017: 1600-1608 - [c66]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 - [c65]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]Wei Dai, Gene Cheung, Ngai-Man Cheung, Antonio Ortega, Oscar C. Au:
Merge Frame Design for Video Stream Switching Using Piecewise Constant Functions. IEEE Trans. Image Process. 25(8): 3489-3504 (2016) - [j16]Jiyan Wu, Chau Yuen, Ngai-Man Cheung, Junliang Chen:
Delay-Constrained High Definition Video Transmission in Heterogeneous Wireless Networks with Multi-Homed Terminals. IEEE Trans. Mob. Comput. 15(3): 641-655 (2016) - [j15]Jiyan Wu, Chau Yuen, Ngai-Man Cheung, Junliang Chen, Chang Wen Chen:
Modeling and Optimization of High Frame Rate Video Transmission Over Wireless Networks. IEEE Trans. Wirel. Commun. 15(4): 2713-2726 (2016) - [c64]Sibo Song, Vijay Chandrasekhar, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim, Giduthuri Sateesh Babu, Phyo Phyo San, Ngai-Man Cheung:
Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition. CVPR Workshops 2016: 378-385 - [c63]Ali Hashemi, Mohammad Rostami, Ngai-Man Cheung:
Efficient Environmental Temperature Monitoring Using Compressed Sensing. DCC 2016: 602 - [c62]Thanh-Toan Do, Anh-Dzung Doan, Ngai-Man Cheung:
Learning to Hash with Binary Deep Neural Network. ECCV (5) 2016: 219-234 - [c61]Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, Ngai-Man Cheung:
Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian. ECCV (2) 2016: 802-817 - [c60]Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin:
Egocentric activity recognition with multimodal fisher vector. ICASSP 2016: 2717-2721 - [c59]Yiren Zhou, Hossein Nejati, Thanh-Toan Do, Ngai-Man Cheung, Lynette Cheah:
Image-based vehicle analysis using deep neural network: A systematic study. DSP 2016: 276-280 - [c58]Rui Liu, Hossein Nejati, Ngai-Man Cheung:
Dimensionality reduction of brain imaging data using graph signal processing. ICIP 2016: 1329-1333 - [c57]Victor Pomponiu, Hossein Nejati, Ngai-Man Cheung:
Deepmole: Deep neural networks for skin mole lesion classification. ICIP 2016: 2623-2627 - [c56]Benedicte Motz, Gene Cheung, Ngai-Man Cheung:
Designing coding structures with merge frames for interactive multiview video streaming. ICME Workshops 2016: 1-6 - [c55]Hyowon Lee, Bree J. Westphal, Wei Kiat Leong, Ngai-Man Cheung, Chor Guan Teo:
When Intuitive Multi-touch Tablet Is Not Enough: Mobile Gaming for Extreme Usability. MobiGames@MobiSys 2016: 7 - [c54]Seong-Ping Chuah, Ngai-Man Cheung, Chau Yuen:
Low Bit-rate Mobile Cloud Gaming. MobiGames@MobiSys 2016: 17-22 - [i9]Yiren Zhou, Ngai-Man Cheung:
Vehicle Classification using Transferable Deep Neural Network Features. CoRR abs/1601.01145 (2016) - [i8]Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin:
Egocentric Activity Recognition with Multimodal Fisher Vector. CoRR abs/1601.06603 (2016) - [i7]Thanh-Toan Do, Ngai-Man Cheung:
Embedding based on function approximation for large scale image search. CoRR abs/1605.06914 (2016) - [i6]Thanh-Toan Do, Anh-Zung Doan, Ngai-Man Cheung:
Learning to Hash with Binary Deep Neural Network. CoRR abs/1607.05140 (2016) - [i5]Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, Ngai-Man Cheung:
Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian. CoRR abs/1607.05396 (2016) - [i4]Liu Rui, Hossein Nejati, Ngai-Man Cheung:
Simultaneous Low-rank Component and Graph Estimation for High-dimensional Graph Signals: Application to Brain Imaging. CoRR abs/1609.08221 (2016) - 2015
- [j14]Jiyan Wu, Chau Yuen, Ngai-Man Cheung, Junliang Chen, Chang Wen Chen:
Enabling Adaptive High-Frame-Rate Video Streaming in Mobile Cloud Gaming Applications. IEEE Trans. Circuits Syst. Video Technol. 25(12): 1988-2001 (2015) - [c53]Jason Chen Zhao, Ngai-Man Cheung, Ricardo Sosa, Dawn Chin-Ing Koh:
Design Self-Diagnosis Applications for Non-Patients. CHI Extended Abstracts 2015: 1433-1438 - [c52]Thanh-Toan Do, Quang D. Tran, Ngai-Man Cheung:
FAemb: A function approximation-based embedding method for image retrieval. CVPR 2015: 3556-3564 - [c51]Yichen Zhang, Ngai-Man Cheung, Lu Yu:
On the Efficiency of View Synthesis Prediction for 3D Video Coding. DCC 2015: 283-292 - [c50]Yijian Xiang, Lu Fang, Ren Li, Ngai-Man Cheung:
Depth Error Induced Virtual View Synthesis Distortion Estimation for 3D Video Coding. DCC 2015: 313-322 - [c49]Hossein Nejati, Kleovoulos Tsourides, Victor Pomponiu, Evan C. Ehrenberg, Ngai-Man Cheung, Pawan Sinha:
Towards perception awareness: Perceptual event detection for Brain computer interfaces. EMBC 2015: 1480-1483 - [c48]Yichen Zhang, Ngai-Man Cheung, Lu Yu:
The efficiency of view synthesis prediction for 3D video coding: A spectral domain analysis. ICASSP 2015: 1453-1457 - [c47]Cheah Huei Yoong, Hyowon Lee, Ngai-Man Cheung:
Open Designettes, Flowcharts, and Pseudocodes in Python Programming with the Aid of Finch. ICCE 2015 - [c46]Seong-Ping Chuah, Ngai-Man Cheung, Chau Yuen:
Information-theoretic analysis of Blinn-Phong lighting with applicationto mobile cloud gaming. ICIP 2015: 382-386 - [i3]Thanh-Toan Do, Anh-Zung Doan, Ngai-Man Cheung:
Discrete Hashing with Deep Neural Network. CoRR abs/1508.07148 (2015) - [i2]Wei Dai, Gene Cheung, Ngai-Man Cheung, Antonio Ortega, Oscar C. Au:
Merge Frame Design for Video Stream Switching using Piecewise Constant Functions. CoRR abs/1509.02995 (2015) - 2014
- [j13]Lu Fang, Ngai-Man Cheung, Dong Tian, Anthony Vetro, Huifang Sun, Oscar C. Au:
An Analytical Model for Synthesis Distortion Estimation in 3D Video. IEEE Trans. Image Process. 23(1): 185-199 (2014) - [j12]Seong-Ping Chuah, Chau Yuen, Ngai-Man Cheung:
Cloud gaming: a green solution to massive multiplayer online games. IEEE Wirel. Commun. 21(4): 78-87 (2014) - [c45]Sibo Song, Vijay Chandrasekhar, Ngai-Man Cheung, Sanath Narayan, Liyuan Li, Joo-Hwee Lim:
Activity Recognition in Egocentric Life-Logging Videos. ACCV Workshops (3) 2014: 445-458 - [c44]Thanh-Toan Do, Yiren Zhou, Haitian Zheng, Ngai-Man Cheung, Dawn Chin-Ing Koh:
Early melanoma diagnosis with mobile imaging. EMBC 2014: 6752-6757 - [c43]Yijian Xiang, Ngai-Man Cheung, Juyong Zhang, Lu Fang:
Analytical model for camera distance related 3D virtual view distortion estimation. ICIP 2014: 5442-5446 - [c42]Seong-Ping Chuah, Ngai-Man Cheung:
Bandwidth efficient mobile cloud gaming with layered coding and scalable phong lighting. ICIP 2014: 6006-6010 - [c41]Seong-Ping Chuah, Ngai-Man Cheung:
Layered Coding for Mobile Cloud Gaming. MMVE@MMSys 2014: 4:1-4:6 - [c40]Hossein Nejati, Ngai-Man Cheung, Ricardo Sosa, Dawn Chin-Ing Koh:
DeepCAPTCHA: an image CAPTCHA based on depth perception. MMSys 2014: 81-90 - 2013
- [j11]Lu Fang, Oscar C. Au, Ngai-Man Cheung:
Subpixel Rendering: From Font Rendering to Image Subsampling [Applications Corner]. IEEE Signal Process. Mag. 30(3): 177-189 (2013) - [j10]Lu Fang, Oscar C. Au, Ngai-Man Cheung, Aggelos K. Katsaggelos, Houqiang Li, Feng Zou:
Luma-Chroma Space Filter Design for Subpixel-Based Monochrome Image Downsampling. IEEE Trans. Image Process. 22(10): 3818-3829 (2013) - [c39]Lu Fang, Ngai-Man Cheung, Oscar C. Au, Houqiang Li, Ketan Tang:
Low Bit-Rate Subpixel-Based Color Image Compression. DCC 2013: 489 - [c38]Flora S. Tsai, Karthik Natarajan, Selin Damla Ahipasaoglu, Chau Yuen, Hyowon Lee, Ngai-Man Cheung, Justin Ruths, Shisheng Huang, Thomas L. Magnanti:
From Boxes to bees: Active learning in freshmen calculus. EDUCON 2013: 59-68 - [c37]Mohammad Rostami, Ngai-Man Cheung, Tony Q. S. Quek:
Compressed sensing of diffusion fields under heat equation constraint. ICASSP 2013: 4271-4274 - [c36]Rui Ma, Ngai-Man Cheung, Oscar C. Au, Dong Tian:
Novel distortion metric for depth coding of 3D video. ICIP 2013: 1714-1718 - [c35]Wei Dai, Gene Cheung, Ngai-Man Cheung, Antonio Ortega, Oscar C. Au:
Rate-distortion optimized merge frame using piecewise constant functions. ICIP 2013: 1787-1791 - [c34]Lu Fang, Ngai-Man Cheung, Dong Tian, Anthony Vetro, Huifang Sun, Lu Yu:
Synthesis distortion estimation in 3D video using frequency and spatial analysis. ICIP 2013: 3176-3180 - [p1]Ngai-Man Cheung, Gene Cheung:
Coding for Interactive Navigation in High-Dimensional Media Data. Emerging Technologies for 3D Video 2013: 162-186 - [i1]Martin Takác, Selin Damla Ahipasaoglu, Ngai-Man Cheung, Peter Richtárik:
TOP-SPIN: TOPic discovery via Sparse Principal component INterference. CoRR abs/1311.1406 (2013) - 2012
- [c33]Lu Fang, Oscar C. Au, Jingjing Dai, Hanli Wang, Ngai-Man Cheung:
Analytical study of RGB vertical stripe and RGBX square-shaped subpixel arrangements. ICIP 2012: 333-336 - [c32]Ngai-Man Cheung, Dong Tian, Anthony Vetro, Huifang Sun:
On modeling the rendering error in 3D video. ICIP 2012: 3021-3024 - 2011
- [j9]Bernd Girod, Vijay Chandrasekhar, David M. Chen, Ngai-Man Cheung, Radek Grzeszczuk, Yuriy A. Reznik, Gabriel Takacs, Sam S. Tsai, Ramakrishna Vedantham:
Mobile Visual Search. IEEE Signal Process. Mag. 28(4): 61-76 (2011) - [j8]Gene Cheung, Antonio Ortega, Ngai-Man Cheung:
Interactive Streaming of Stored Multiview Video Using Redundant Frame Structures. IEEE Trans. Image Process. 20(3): 744-761 (2011) - [c31]Georg Schroth, Ngai-Man Cheung, Eckehard G. Steinbach, Bernd Girod:
Synchronization of presentation slides and lecture videos using bit rate sequences. ICIP 2011: 925-928 - [c30]Mina Makar, Yao-Chung Lin, Ngai-Man Cheung, Derek Pang, Bernd Girod:
Quality-controlled view interpolation for multiview video. ICIP 2011: 1805-1808 - [c29]Derek Pang, Sherif A. Halawa, Ngai-Man Cheung, Bernd Girod:
Mobile interactive region-of-interest video streaming with crowd-driven prefetching. IMMPD@ACM Multimedia 2011: 7-12 - [c28]Sherif A. Halawa, Derek Pang, Ngai-Man Cheung, Bernd Girod:
ClassX: an open source interactive lecture StreamingSystem. ACM Multimedia 2011: 719-722 - [c27]Derek Pang, Sherif A. Halawa, Ngai-Man Cheung, Bernd Girod:
ClassX Mobile: region-of-interest video streaming to mobile devices with multi-touch interaction. ACM Multimedia 2011: 787-788 - [c26]Vijay Chandrasekhar, David M. Chen, Sam S. Tsai, Ngai-Man Cheung, Huizhong Chen, Gabriel Takacs, Yuriy A. Reznik, Ramakrishna Vedantham, Radek Grzeszczuk, Jeff Bach, Bernd Girod:
The stanford mobile visual search data set. MMSys 2011: 117-122 - 2010
- [j7]Xiaopeng Fan, Oscar C. Au, Ngai-Man Cheung, Yan Chen, Jiantao Zhou:
Successive refinement based Wyner-Ziv video compression. Signal Process. Image Commun. 25(1): 47-63 (2010) - [j6]Ngai-Man Cheung, Xiaopeng Fan, Oscar C. Au, Man Cheung Kung:
Video Coding on Multicore Graphics Processors. IEEE Signal Process. Mag. 27(2): 79-89 (2010) - [j5]Xiaopeng Fan, Oscar C. Au, Ngai-Man Cheung:
Transform-Domain Adaptive Correlation Estimation (TRACE) for Wyner-Ziv Video Coding. IEEE Trans. Circuits Syst. Video Technol. 20(11): 1423-1436 (2010) - [c25]David M. Chen, Ngai-Man Cheung, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod:
Dynamic selection of a feature-rich query frame for mobile video retrieval. ICIP 2010: 1017-1020 - [c24]Ngai-Man Cheung, Antonio Ortega, Gene Cheung:
Rate-distortion based reconstruction optimization in distributed source coding for interactive multiview video streaming. ICIP 2010: 3721-3724 - [c23]Vijay Chandrasekhar, David M. Chen, Andy Lin, Gabriel Takacs, Sam S. Tsai, Ngai-Man Cheung, Yuriy A. Reznik, Radek Grzeszczuk, Bernd Girod:
Comparison of local feature descriptors for mobile visual search. ICIP 2010: 3885-3888 - [c22]Ngai-Man Cheung, David M. Chen, Vijay Chandrasekhar, Sam S. Tsai, Gabriel Takacs, Sherif A. Halawa, Bernd Girod:
Restoration of out-of-focus lecture video by automatic slide matching. ACM Multimedia 2010: 899-902 - [c21]Sam S. Tsai, David M. Chen, Vijay Chandrasekhar, Gabriel Takacs, Ngai-Man Cheung, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod:
Mobile product recognition. ACM Multimedia 2010: 1587-1590 - [c20]Gene Cheung, Antonio Ortega, Ngai-Man Cheung, Bernd Girod:
On media data structures for interactive streaming in immersive applications. VCIP 2010: 77440O
2000 – 2009
- 2009
- [j4]Ngai-Man Cheung, Oscar C. Au, Man Cheung Kung, Peter H. W. Wong, Chun-Hung Liu:
Highly Parallel Rate-Distortion Optimized Intra-Mode Decision on Multicore Graphics Processors. IEEE Trans. Circuits Syst. Video Technol. 19(11): 1692-1703 (2009) - [c19]Xiaopeng Fan, Oscar C. Au, Mengyao Ma, Ling Hou, Jiantao Zhou, Ngai-Man Cheung:
Transcoding based robust streaming of compressed video. ICASSP 2009: 909-912 - [c18]Gene Cheung, Ngai-Man Cheung, Antonio Ortega:
Optimized frame structure using distributed source coding for interactive multiview video streaming. ICIP 2009: 1389-1392 - [c17]Xiaopeng Fan, Oscar C. Au, Ngai-Man Cheung:
Adaptive correlation estimation for general Wyner-Ziv video coding. ICIP 2009: 1409-1412 - [c16]Ngai-Man Cheung, Oscar C. Au, Man Cheung Kung, Xiaopeng Fan:
Parallel rate-distortion optimized intra mode decision on multi-core graphics processors using greedy-based encoding orders. ICIP 2009: 2309-2312 - [c15]Xiaopeng Fan, Oscar C. Au, Mengyao Ma, Ling Hou, Jiantao Zhou, Ngai-Man Cheung:
On Improving the Robustness of Compressed Video by Slepian-Wolf based Lossless Transcoding. ISCAS 2009: 884-887 - [c14]Ngai-Man Cheung, Antonio Ortega, Gene Cheung:
Distributed source coding techniques for interactive multiview video streaming. PCS 2009: 1-4 - 2008
- [j3]Ngai-Man Cheung, Huisheng Wang, Antonio Ortega:
Sampling-Based Correlation Estimation for Distributed Source Coding Under Rate and Complexity Constraints. IEEE Trans. Image Process. 17(11): 2122-2137 (2008) - 2007
- [c13]Ngai-Man Cheung, Antonio Ortega:
Flexible Video Decoding: A Distributed Source Coding Approach. MMSP 2007: 103-106 - 2006
- [j2]Huisheng Wang, Ngai-Man Cheung, Antonio Ortega:
A Framework for Adaptive Scalable Video Coding Using Wyner-Ziv Techniques. EURASIP J. Adv. Signal Process. 2006 (2006) - [j1]Ngai-Man Cheung, Caimu Tang, Antonio Ortega, Cauligi S. Raghavendra:
Efficient wavelet-based predictive Slepian-Wolf coding for hyperspectral imagery. Signal Process. 86(11): 3180-3195 (2006) - [c12]Ngai-Man Cheung, Antonio Ortega:
A Model-Based Approach to Correlation Estimation Inwavelet-Based Distributed Source Coding with Application to Hyperspectral Imagery. ICIP 2006: 613-616 - 2005
- [c11]Caimu Tang, Ngai-Man Cheung, Antonio Ortega, Cauligi S. Raghavendra:
Efficient Inter-Band Prediction and Wavelet Based Compression for Hyperspectral Imagery: A Distributed Source Coding Approach. DCC 2005: 437-446 - [c10]Ngai-Man Cheung, Huisheng Wang, Antonio Ortega:
Correlation estimation for distributed source coding under information exchange constraints. ICIP (2) 2005: 682-685 - 2002
- [c9]Ngai-Man Cheung, Yuji Itoh:
Configurable variable length code with genetic algorithms. ICIP (3) 2002: 689-692 - 2001
- [c8]Ngai-Man Cheung, Yuji Itoh:
Configurable variable length code for video coding. ICASSP 2001: 1805-1808 - 2000
- [c7]Yuji Itoh, Ngai-Man Cheung:
Universal Variable Length Code for DCT Coding. ICIP 2000: 940-943
1990 – 1999
- 1999
- [c6]Steven Trautmann, Ngai-Man Cheung, Christopher Poletto:
Applications of the Processor Enhanced Memory Module for Music Signal Processing. ICMC 1999 - [c5]Ngai-Man Cheung, Tsugio Kawashima, Yoshihide Iwata, Steven Trautmann, Jeff Tsay, Basavaraj I. Pawate:
Software MPEG-2 video decoder on a DSP Enhanced Memory Module. MMSP 1999: 661-666 - 1998
- [c4]Ngai-Man Cheung, Steven Trautmann, Andrew Horner:
Head-related transfer function modeling in 3-D sound systems with genetic algorithms. ICASSP 1998: 3529-3532 - 1997
- [c3]Ngai-Man Cheung, Steven Trautmann:
Genetic algorithm approach to head-related transfer functions modeling in 3-D sound system. MMSP 1997: 83-88 - [c2]Steven Trautmann, Ngai-Man Cheung:
Wavetable music synthesis for multimedia and beyond. MMSP 1997: 89-94 - 1995
- [c1]Andrew Horner, Ngai-Man Cheung, James W. Beauchamp:
Genetic Algorithm Optimization of Additive Synthesis Envelope Breakpoints and Group Synthesis Parameters. ICMC 1995
Coauthor Index
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