Jas Kandola — accepted AI-conference papers

2025

MiDSummer: Multi-Guidance Diffusion for Controllable Zero-Shot Immersive Gaussian Splatting Scene Generation

Anjun Hu, Richard Tomsett, Valentin Gourmet, Massimo Camplani, Jas Kandola, Hanting Xie

ICCV 2025poster

We present MiDSummer, a two-stage framework for generating immersive Gaussian Splatting scenes that leverages multiple diffusion guidance signals to enable structured layout control, enhanced physical realism, and improved visual quality.While 3D scene generation has seen significant recent advances…

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2024

Inherently Interpretable Time Series Classification via Multiple Instance Learning

Joseph Early, Gavin Cheung, Kurt Cutajar, Hanting Xie, Jas Kandola, Niall Twomey

ICLR 2024spotlight

Conventional Time Series Classification (TSC) methods are often black boxes that obscure inherent interpretation of their decision-making processes. In this work, we leverage Multiple Instance Learning (MIL) to overcome this issue, and propose a new framework called MILLET: Multiple Instance Learnin…

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