Kam Woh Ng

According to our database, Kam Woh Ng authored at least 25 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Chirpy3D: Continuous Part Latents for Creative 3D Bird Generation.

Kam Woh Ng, Jing Yang, Jia Wei Sii, Jiankang Deng, Chee Seng Chan, Yi-Zhe Song, Tao Xiang, Xiatian Zhu

CoRR, January, 2025

2024

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 Pérez-Rúa, Aditya Patel, Tao Xiang, Miaojing Shi, Sen He

CoRR, 2024

PartCraft: Crafting Creative Objects by Parts.

Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang

Proceedings of the Computer Vision - ECCV 2024, 2024

ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery.

Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Federated Learning with Privacy-preserving and Model IP-right-protection.

Qiang Yang, Anbu Huang, Lixin Fan, Chee Seng Chan, Jian Han Lim, Kam Woh Ng, Ding Sheng Ong, Bowen Li

Int. J. Autom. Comput., 2023

DreamCreature: Crafting Photorealistic Virtual Creatures from Imagination.

Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang

CoRR, 2023

Unsupervised Hashing via Similarity Distribution Calibration.

Kam Woh Ng, Xiatian Zhu, Jiun Tian Hoe, Chee Seng Chan, Tianyu Zhang, Yi-Zhe Song, Tao Xiang

CoRR, 2023

Unsupervised Hashing with Similarity Distribution Calibration.

Kam Woh Ng, Xiatian Zhu, Jiun Tian Hoe, Chee Seng Chan, Tianyu Zhang, Yi-Zhe Song, Tao Xiang

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Protect, show, attend and tell: Empowering image captioning models with ownership protection.

Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang

Pattern Recognit., 2022

DeepIPR: Deep Neural Network Ownership Verification With Passports.

Lixin Fan, Kam Woh Ng, Chee Seng Chan, Qiang Yang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Large-Scale Product Retrieval with Weakly Supervised Representation Learning.

Xiao Han, Kam Woh Ng, Sauradip Nag, Zhiyu Qu

CoRR, 2022

CyEDA: Cycle-Object Edge Consistency Domain Adaptation.

Jing Chong Beh, Kam Woh Ng, Jie-Long Kew, Che-Tsung Lin, Chee Seng Chan, Shang-Hong Lai, Christopher Zach

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Image-based plant identification with taxonomy aware architecture.

Jack Min Ong, Sze Jue Yang, Kam Woh Ng, Chee Seng Chan

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Ternary Hashing.

Chang Liu, Lixin Fan, Kam Woh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang

CoRR, 2021

Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack.

Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks.

Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks.

Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang

Proceedings of the Federated Learning - Privacy and Incentive, 2020

Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness.

Yilun Jin, Lixin Fan, Kam Woh Ng, Ce Ju, Qiang Yang

CoRR, 2020

Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection.

Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang

CoRR, 2020

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks.

Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang

CoRR, 2020

Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes.

Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks.

Lixin Fan, Kam Woh Ng, Chee Seng Chan

CoRR, 2019

A Universal Logic Operator for Interpretable Deep Convolution Networks.

Kam Woh Ng, Lixin Fan, Chee Seng Chan

CoRR, 2019

Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks.

Lixin Fan, Kam Woh Ng, Chee Seng Chan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019