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ORCIDKam Woh Ng
Person information
- affiliation: University of Surrey, UK
- affiliation: WeBank AI Lab, Shenzhen, China
- affiliation: University of Malaya, Center of Image and Signal Processing, Kuala Lumpur, Malaysia
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2020 – today
- 2024
[c9]Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery. CVPR Workshops 2024: 1211-1223- [c8]Kam Woh Ng
, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
PartCraft: Crafting Creative Objects by Parts. ECCV (9) 2024: 420-437 - [i15]Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery. CoRR abs/2406.08457 (2024) - [i14]Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
PartCraft: Crafting Creative Objects by Parts. CoRR abs/2407.04604 (2024) - [i13]Zijian Zhou, Shikun Liu, Xiao Han, Haozhe Liu, Kam Woh Ng, Tian Xie, Yuren Cong, Hang Li, Mengmeng Xu, Juan-Manuel Pérez-Rúa, Aditya Patel, Tao Xiang, Miaojing Shi, Sen He:
Learning Flow Fields in Attention for Controllable Person Image Generation. CoRR abs/2412.08486 (2024) - 2023
- [j3]Qiang Yang, Anbu Huang, Lixin Fan, Chee Seng Chan, Jian Han Lim, Kam Woh Ng, Ding Sheng Ong, Bowen Li:
Federated Learning with Privacy-preserving and Model IP-right-protection. Int. J. Autom. Comput. 20(1): 19-37 (2023) - [c7]Kam Woh Ng, Xiatian Zhu, Jiun Tian Hoe, Chee Seng Chan, Tianyu Zhang, Yi-Zhe Song, Tao Xiang:
Unsupervised Hashing with Similarity Distribution Calibration. BMVC 2023: 53-69 - [i12]Kam Woh Ng, Xiatian Zhu, Jiun Tian Hoe, Chee Seng Chan, Tianyu Zhang, Yi-Zhe Song, Tao Xiang:
Unsupervised Hashing via Similarity Distribution Calibration. CoRR abs/2302.07669 (2023) - [i11]Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
DreamCreature: Crafting Photorealistic Virtual Creatures from Imagination. CoRR abs/2311.15477 (2023) - 2022
- [j2]Lixin Fan, Kam Woh Ng, Chee Seng Chan, Qiang Yang:
DeepIPR: Deep Neural Network Ownership Verification With Passports. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6122-6139 (2022) - [j1]Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protect, show, attend and tell: Empowering image captioning models with ownership protection. Pattern Recognit. 122: 108285 (2022) - [c6]Jack Min Ong, Sze Jue Yang, Kam Woh Ng, Chee Seng Chan:
Image-based plant identification with taxonomy aware architecture. CLEF (Working Notes) 2022: 2168-2174 - [c5]Jing Chong Beh, Kam Woh Ng, Jie-Long Kew, Che-Tsung Lin, Chee Seng Chan, Shang-Hong Lai, Christopher Zach:
CyEDA: Cycle-Object Edge Consistency Domain Adaptation. ICIP 2022: 2986-2990 - [i10]Xiao Han, Kam Woh Ng, Sauradip Nag, Zhiyu Qu:
Large-Scale Product Retrieval with Weakly Supervised Representation Learning. CoRR abs/2208.00955 (2022) - 2021
- [c4]Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks. CVPR 2021: 3630-3639 - [c3]Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang, Chee Seng Chan, Yi-Zhe Song, Tao Xiang:
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective. NeurIPS 2021: 24286-24298 - [i9]Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack. CoRR abs/2102.04362 (2021) - [i8]Chang Liu, Lixin Fan, Kam Woh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang:
Ternary Hashing. CoRR abs/2103.09173 (2021) - [i7]Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang, Chee Seng Chan, Yi-Zhe Song, Tao Xiang:
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective. CoRR abs/2109.14449 (2021) - 2020
- [c2]Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan:
Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes. IJCAI 2020: 825-831 - [p1]Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang:
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks. Federated Learning 2020: 32-50 - [i6]Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang:
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks. CoRR abs/2006.11601 (2020) - [i5]Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection. CoRR abs/2008.11009 (2020) - [i4]Yilun Jin, Lixin Fan, Kam Woh Ng, Ce Ju, Qiang Yang:
Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness. CoRR abs/2011.13538 (2020)
2010 – 2019
- 2019
- [c1]Lixin Fan, Kam Woh Ng, Chee Seng Chan:
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks. NeurIPS 2019: 4716-4725 - [i3]Kam Woh Ng, Lixin Fan, Chee Seng Chan:
A Universal Logic Operator for Interpretable Deep Convolution Networks. CoRR abs/1901.08551 (2019) - [i2]Lixin Fan, Kam Woh Ng, Chee Seng Chan:
Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks. CoRR abs/1905.04368 (2019) - [i1]Lixin Fan, Kam Woh Ng, Chee Seng Chan:
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks. CoRR abs/1909.07830 (2019)
Coauthor Index
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