Ng, Kam Woh

8 publications

ICLR 2026 Scaling Sequence-to-Sequence Generative Neural Rendering Shikun Liu, Kam Woh Ng, Wonbong Jang, Jiadong Guo, Junlin Han, Haozhe Liu, Yiannis Douratsos, Juan Camilo Perez, Zijian Zhou, Khanh Chi Phung, Tao Xiang, Juan-Manuel Perez-Rua

CVPR 2025 Learning Flow Fields in Attention for Controllable Person Image Generation Zijian Zhou, Shikun Liu, Xiao Han, Haozhe Liu, Kam Woh Ng, Tian Xie, Yuren Cong, Hang Li, Mengmeng Xu, Juan-Manuel Perez-Rua, Aditya Patel, Tao Xiang, Miaojing Shi, Sen He

CVPRW 2024 ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang

ECCV 2024 PartCraft: Crafting Creative Objects by Parts Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang

NeurIPS 2021 One Loss for All: Deep Hashing with a Single Cosine Similarity Based Learning Objective Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang, Chee Seng Chan, Yi-Zhe Song, Tao Xiang

CVPR 2021 Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attacks Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang

IJCAI 2020 Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan

NeurIPS 2019 Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks Lixin Fan, Kam Woh Ng, Chee Seng Chan