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Kam Woh Ng
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 12
Top Topics
Photorealistic
Multiview Geometry
Word Sense Induction
Weakly Supervised
Top Venues
CoRR
Int. J. Autom. Comput.
ICIP
BMVC
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Publications
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Kam Woh Ng
,
Xiatian Zhu
,
Yi-Zhe Song
,
Tao Xiang
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery.
CoRR
(2024)
Kam Woh Ng
,
Xiatian Zhu
,
Yi-Zhe Song
,
Tao Xiang
PartCraft: Crafting Creative Objects by Parts.
CoRR
(2024)
Win Kent Ong
,
Kam Woh Ng
,
Chee Seng Chan
,
Yi-Zhe Song
,
Tao Xiang
IPR-NeRF: Ownership Verification meets Neural Radiance Field.
CoRR
(2024)
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
(2023)
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) (2023)
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)
Kam Woh Ng
,
Xiatian Zhu
,
Yi-Zhe Song
,
Tao Xiang
DreamCreature: Crafting Photorealistic Virtual Creatures from Imagination.
CoRR
(2023)
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) (2022)
Xiao Han
,
Kam Woh Ng
,
Sauradip Nag
,
Zhiyu Qu
Large-Scale Product Retrieval with Weakly Supervised Representation Learning.
CoRR
(2022)
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)
Jack Min Ong
,
Sze Jue Yang
,
Kam Woh Ng
,
Chee Seng Chan
Image-based plant identification with taxonomy aware architecture.
CLEF (Working Notes)
(2022)
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)