Understanding User Experiences Across VR Walking-in-place Locomotion Methods. - Chek Tien Tan; Leon Cewei Foo; Adriel Yeo; Jeannie Su Ann Lee; Edmund Wan; Xiao-Feng Kenan Kok; Megani Rajendran (CHI, 2022)

SynDa: A Novel Synthetic Data Generation Pipeline for Activity Recognition. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Simon See (ISMAR Adjunct, 2022)

Towards a HOI application for digital home assistants. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Simon See (ISMAR Adjunct, 2022)

Exploring Domain Randomization's Effect on Synthetic Data for Activity Detection. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Andrew Grant; Eric Cameracci; Simon See (MetaCom, 2023)

SynthDa: Exploiting Existing Real-World Data for Usable and Accessible Synthetic Data Generation. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Zhihua Zhou; Andrew Grant; Simon See (SIGGRAPH Asia Technical Communications, 2023)

Designing a Usable Framework for Diverse Users in Synthetic Human Action Data Generation. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Joey Lim; Triston Chan Sheen; Simon See (SIGGRAPH Asia Technical Communications, 2024)

Review on synergizing the Metaverse and AI-driven synthetic data: enhancing virtual realms and activity recognition in computer vision. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Simon See (Vis. Intell., 2024)