Hi! 👋 I'm Ji Ha Jang. I'm currently pursuing integrated PhD course in Electrical and Computer Engineering (ECE) at Seoul National University (SNU), advised by Prof. Se Young Chun. I earned my B.S degree in Electrical and Computer Engineering (ECE) at Seoul National University.

Research Keywords: multmodal AI, generative AI, commonsense AI

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News

• 07/2024 Our paper INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding is accepted to ECCV 2024.
• 07/2024 Our paper PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion is accepted to ICCV 2023.

Research

I'm interested in multmodal, generative, commonsense AI, and low-level computer vision. My work is driven by a deep curiosity about how AI can better understand and interact with the complexities of the world, combining various modalities. Representative papers are highlighted.

We present INTRA (Interaction Relationship-aware Weakly Supervised Affordance Grounding), a novel framework for affordance grounding which enables training without egocentric images, ground different part for different interaction on same object and enables free-form text input.

We propose a novel pipeline called PODIA-3D, which uses pose-preserved text-to-image diffusion-based domain adaptation for 3D generative models.

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Last updated: Sep 2024