Kam Woh Ng - RankMe

34 papers A* 5A 1B 1Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	VecGlypher: Unified Vector Glyph Generation with Language Models. CoRR Xiaoke Huang, Bhavul Gauri, Kam Woh Ng, Tony Ng, Mengmeng Xu, Zhiheng Liu, Weiming Ren, Zhaochong An, Zijian Zhou, Haonan Qiu, Yuyin Zhou, Sen He, Ziheng Wang, Tao Xiang, Xiao Han
2025	J	`jnl`	Chirpy3D: Continuous Part Latents for Creative 3D Bird Generation. CoRR Kam Woh Ng, Jing Yang, Jia Wei Sii, Jiankang Deng, Chee Seng Chan, Yi-Zhe Song, Tao Xiang, Xiatian Zhu
2025	A*	`conf`	Learning Flow Fields in Attention for Controllable Person Image Generation. CVPR 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
2025	J	`jnl`	Mixture of States: Routing Token-Level Dynamics for Multimodal Generation. CoRR 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
2025	J	`jnl`	Scaling Sequence-to-Sequence Generative Neural Rendering. CoRR 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
2025	J	`jnl`	Scaling Zero-Shot Reference-to-Video Generation. CoRR 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
2024	—	`conf`	ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery. CVPR Workshops Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang
2024	J	`jnl`	ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery. CoRR Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang
2024	J	`jnl`	Learning Flow Fields in Attention for Controllable Person Image Generation. CoRR 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
2024	—	`conf`	PartCraft: Crafting Creative Objects by Parts. ECCV (9) Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang
2024	J	`jnl`	PartCraft: Crafting Creative Objects by Parts. CoRR Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang
2023	J	`jnl`	DreamCreature: Crafting Photorealistic Virtual Creatures from Imagination. CoRR Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang
2023	J	`jnl`	Federated Learning with Privacy-preserving and Model IP-right-protection. Int. J. Autom. Comput. Qiang Yang, Anbu Huang, Lixin Fan, Chee Seng Chan, Jian Han Lim, Kam Woh Ng, Ding Sheng Ong, Bowen Li
2023	J	`jnl`	Unsupervised Hashing via Similarity Distribution Calibration. CoRR Kam Woh Ng, Xiatian Zhu, Jiun Tian Hoe, Chee Seng Chan, Tianyu Zhang, Yi-Zhe Song, Tao Xiang
2023	A	`conf`	Unsupervised Hashing with Similarity Distribution Calibration. BMVC Kam Woh Ng, Xiatian Zhu, Jiun Tian Hoe, Chee Seng Chan, Tianyu Zhang, Yi-Zhe Song, Tao Xiang
2022	B	`conf`	CyEDA: Cycle-Object Edge Consistency Domain Adaptation. ICIP Jing Chong Beh, Kam Woh Ng, Jie-Long Kew, Che-Tsung Lin, Chee Seng Chan, Shang-Hong Lai, Christopher Zach
2022	J	`jnl`	DeepIPR: Deep Neural Network Ownership Verification With Passports. IEEE Trans. Pattern Anal. Mach. Intell. Lixin Fan, Kam Woh Ng, Chee Seng Chan, Qiang Yang
2022	—	`conf`	Image-based plant identification with taxonomy aware architecture. CLEF (Working Notes) Jack Min Ong, Sze Jue Yang, Kam Woh Ng, Chee Seng Chan
2022	J	`jnl`	Large-Scale Product Retrieval with Weakly Supervised Representation Learning. CoRR Xiao Han, Kam Woh Ng, Sauradip Nag, Zhiyu Qu
2022	J	`jnl`	Protect, show, attend and tell: Empowering image captioning models with ownership protection. Pattern Recognit. Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang
2021	A*	`conf`	One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective. NeurIPS Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang, Chee Seng Chan, Yi-Zhe Song, Tao Xiang
2021	J	`jnl`	One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective. CoRR Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang, Chee Seng Chan, Yi-Zhe Song, Tao Xiang
2021	A*	`conf`	Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks. CVPR Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang
2021	J	`jnl`	Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack. CoRR Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang
2021	J	`jnl`	Ternary Hashing. CoRR Chang Liu, Lixin Fan, Kam Woh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang
2020	A*	`conf`	Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes. IJCAI Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan
2020	J	`jnl`	Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection. CoRR Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang
2020	J	`jnl`	Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks. CoRR Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang
2020	—	`ch.`	Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks. Federated Learning Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang
2020	J	`jnl`	Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness. CoRR Yilun Jin, Lixin Fan, Kam Woh Ng, Ce Ju, Qiang Yang
2019	J	`jnl`	A Universal Logic Operator for Interpretable Deep Convolution Networks. CoRR Kam Woh Ng, Lixin Fan, Chee Seng Chan
2019	J	`jnl`	Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks. CoRR Lixin Fan, Kam Woh Ng, Chee Seng Chan
2019	A*	`conf`	Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks. NeurIPS Lixin Fan, Kam Woh Ng, Chee Seng Chan
2019	J	`jnl`	Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks. CoRR Lixin Fan, Kam Woh Ng, Chee Seng Chan