JS

Jaskirat Singh

ORCID iD 0000-0002-2531-7878
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About

I am a first-year Ph.D. student in the College of Engineering and Computer Science (CECS) at the Australian National University, where I am fortunate to be supervised by Prof. Liang Zheng and Prof. Stephen Gould.

Previously, I was a research intern at Adobe Research. Prior to that, I had graduated from Masters of Machine learning and Computer Vision with first-class honours from the Australian National University. Even earlier, I was working as a machine learning research engineer at Yahoo Japan. I received my Bachelors in Electrical Engineering with a specialization in intelligent and cognitive systems from IIT Delhi.

I am currently engaged in exploring a novel approach to interactive image synthesis and editing, by using deep reinforcement learning for understanding human visual user-intention (i.e. what a user wants to draw) from the primitive human inputs (e.g. coarse scribbles). We believe that applications from this research can provide human users with new ways to better express their inner ideas in direct visual form.

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Education

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Publications (13)

  • Intelli-Paint: Towards Developing Human-like Painting Agents
    ECCV 2022 2022
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  • Intelli-Paint: Towards Developing More Human-Intelligible Painting Agents
    2022 DOI: 10.1007/978-3-031-19787-1_39
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  • Paint2Pix: Interactive Painting Based Progressive Image Synthesis and Editing
    2022 DOI: 10.1007/978-3-031-19781-9_39
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  • Paint2Pix: Interactive Painting based Progressive Image Synthesis and Editing
    ECCV 2022 2022
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  • Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings
    CVPR 2021
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  • Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings
    CVPR 2021
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  • Intelli-Paint: Towards Developing Human-like Painting Agents
    ECCV 2022 2021
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  • Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning
    arXiv preprint arXiv:2102.07266 2021
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  • Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning
    arXiv preprint arXiv:2102.07266 2021
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  • Enhanced Scene Specificity with Sparse Dynamic Value Estimation
    arXiv preprint arXiv:2011.12574 2020
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