46 citations · 83 across the 14 of their papers we have counts for
14 papers
Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset
Alvin De Jun Tan, Clement Tan, Chai Kiat Yeo
Contrastive learning has shown to learn better quality representations than models trained using cross-entropy loss. They also transfer better to downstream datasets from different…
DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields
Junzhe Zhang, Yushi Lan, Shuai Yang +5
In this paper, we address the challenging problem of 3D toonification, which involves transferring the style of an artistic domain onto a target 3D face with stylized geometry and…
Inferring Past Human Actions in Homes with Abductive Reasoning
Clement Tan, Chai Kiat Yeo, Cheston Tan +1
Abductive reasoning aims to make the most likely inference for a given set of incomplete observations. In this paper, we introduce "Abductive Past Action Inference", a novel resear…
Monocular 3D Object Reconstruction with GAN Inversion
Junzhe Zhang, Daxuan Ren, Zhongang Cai +3
Recovering a textured 3D mesh from a monocular image is highly challenging, particularly for in-the-wild objects that lack 3D ground truths. In this work, we present MeshInversion,…
NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search
Wanqi Xue, Bo An, Chai Kiat Yeo
How resources are deployed to secure critical targets in networks can be modelled by Network Security Games (NSGs). While recent advances in deep learning (DL) provide a powerful a…
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
Wanqi Xue, Wei Qiu, Bo An +3
Recent studies in multi-agent communicative reinforcement learning (MACRL) have demonstrated that multi-agent coordination can be greatly improved by allowing communication between…