Arushi Goel bio photo

Arushi Goel

Currently a Graduate Research Student. Passionate about computer vision, machine learning, and exploring - ideas, books and places.

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Me in a Nutshell

I am a final year PhD student in the VICO group with Dr. Hakan Bilen at the School of Informatics, University of Edinburgh. I am also fortunate to work closely with Dr. Frank Keller and Dr. Basura Fernando.


Previously, I spend some wonderful years in Singapore working as a Research Engineer at A*STAR AI Initiative.


In my research, I am interested in multi-modal learning and developing models for fine-grained vision and language tasks.


I majored in electronics and communication engineering as a bachelor student, eventually finding passion for machine learning and it’s applications.


I am looking for Postdoc/Research Scientist positions. Feel free to drop me an email for research discussions, collaborations or just chatting!

What's new with me?

⭐️ [July 2023] !NEW! ♨️ ♨️ 2 papers accepted to ICCV 23! More details coming soon.

⭐️ [Feb 2023] !NEW! ♨️ ♨️ Co-organizing the LTVRD challenge at CVPR 2023. Submission servers are open, check it out!

⭐️ [June 2022] Starting as a student researcher at Google research, Zurich.

⭐️ [June 2022] Co-organized the Women in Computer Vision (WiCV) Workshop at CVPR 2022, New Orleans!

⭐️ [Feb 2022] Paper accepted at CVPR 2022! Thanks to my supervisors and collaborators.

⭐️ [June 2021] Excited to start as an Applied Scientist Intern at Amazon Alexa AI, Cambridge, UK.

⭐️ [June 2021] Co-organized the Women in Computer Vision (WiCV) Workshop at CVPR 2021!

⭐️ [Mar 2021] Invited talk at CoSInE: Conference for Scientists, Innovators and Engineers on Ethics and Bias in AI.

⭐️ [July 2020] Our work accepted to the VIPriors Workshop at ECCV 2020.

⭐️ [Sept 2019] Awarded the Graduate Student Fellowship for my PhD studies by the School of Informatics, University of Edinburgh.

⭐️ [Sept 2019] Started my PhD at the University of Edinburgh! Scotland is beautiful.

⭐️ [June 2019] Attended CVPR-2019. Many interesting oral and poster sessions on Language and Reasoning, Recognition, and Few-Shot Learning.