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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
- 2025
[c10]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. CVPR 2025: 2491-2501- [i19]Kam Woh Ng, Jing Yang, Jia Wei Sii, Jiankang Deng, Chee Seng Chan, Yi-Zhe Song, Tao Xiang, Xiatian Zhu:
Chirpy3D: Continuous Part Latents for Creative 3D Bird Generation. CoRR abs/2501.04144 (2025) - [i18]Shikun Liu, Kam Woh Ng, Wonbong Jang, Jiadong Guo, Junlin Han, Haozhe Liu, Yiannis Douratsos, Juan C. Pérez, Zijian Zhou, Chi Phung, Tao Xiang, Juan-Manuel Pérez-Rúa:
Scaling Sequence-to-Sequence Generative Neural Rendering. CoRR abs/2510.04236 (2025) - [i17]Haozhe Liu, Ding Liu, Mingchen Zhuge, Zijian Zhou, Tian Xie, Sen He, Yukang Yang, Shuming Liu, Yuren Cong, Jiadong Guo, Hongyu Xu, Ke Xu, Kam Woh Ng, Juan C. Pérez, Juan-Manuel Pérez-Rúa, Tao Xiang, Wei Liu, Shikun Liu, Jürgen Schmidhuber:
Mixture of States: Routing Token-Level Dynamics for Multimodal Generation. CoRR abs/2511.12207 (2025) - [i16]Zijian Zhou, Shikun Liu, Haozhe Liu, Haonan Qiu, Zhaochong An, Weiming Ren, Zhiheng Liu, Xiaoke Huang, Kam Woh Ng, Tian Xie, Xiao Han, Yuren Cong, Hang Li, Chuyan Zhu, Aditya Patel, Tao Xiang, Sen He:
Scaling Zero-Shot Reference-to-Video Generation. CoRR abs/2512.06905 (2025) - 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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