Arihant Gaur

I am currently a student at Saaland University (MS Visual Computing). I am also working part-time as a contractor at Metacube Software Pvt. Ltd., working on computer vision.

Email  /  CV  /  LinkedIn  /  Google Scholar  /  X (formerly Twitter)  /  GitHub

profile photo
Areas of Interest

My research experience has mostly been on 3D computer vision. At Metacube, I am working on 3D skeleton based action recognition. Previously at MERL, I've worked on implicit neural representations for 3D objects and NeRFs to extent. Please refer to my CV for more details, or mail for enquiries/questions.

Research
origin Oriented-grid Encoder for 3D Implicit Representations
Arihant Gaur, Gonçalo Dias Pais, Pedro Miraldo
3DV, 2024
arxiv

Introduces explicit 3D grid based encoding for structured 3D implicit representation
origin Open-Set Multi-Source Multi-Target Domain Adaptation
Rohit Lal, Arihant Gaur, Aadhithya Iyer, Muhammed Abdullah Shaikh, Ritik Agrawal, Shital Chiddarwar
NeurIPS, 2021 (Pre-registration workshop)
arxiv / code

Proposed concept for Multi-Source Multi-Target (nSmT) domain adaptation
origin Health Estimation of Electrical Transformer
Arihant Gaur, Aadhithya Iyer, Ganesh Rohit, Nishit Khandelwal, Vinit Kavalekar, Vyankatesh Muley
B.Tech. thesis, 2022
PDF

Exploring machine learning techniques to summarize overall health of transformer using various online and offline electrical transformer measurements
News

  • April 2024: I've joined as a masters student at Saarland University. Switched from intern to contractor at Metacube
  • October 2023: I started as a short-time intern at Metacube Software Pvt. Ltd.
  • October 2023: My work at MERL, has been accepted to 3DV 2024. It was also granted a US patent separately.
  • April 2023: I returned back to India. Continued working on the project remotely.
  • September 2022: Officially received Bachelor's degree in Electrical and Electronics Engineering, bagging Academic Excellence Prize for securing 2nd highest CGPA in my department.
  • August 2022: I moved to Cambridge, MA as a research intern at MERL.
  • May 2022: Finished my Bachelor's degree in Electrical and Electronics Engineering
  • January 2022: Received Academic Excellence Prize for exhibiting the best performance in the 3rd year of B.Tech. Electrical and Electronics Engg. program.
  • October 2021: My paper "Open-Set Multi-Source Multi-Target Domain Adaptation" got accepted at the NeurIPS'21 pre - registration workshop. Paper: Link, Video: Link
  • May 2021: Started working as a research intern at IST, Lisbon.
  • August 2020: Bagged first prize at the Smart India Hackathon, 2020 (Software Edition, Team IvLabs)

    		•

    The website template is the courtesy of Jon Barron | Last Updated: 19-10-2024