Anupam Sobti

Assistant Professor, Plaksha University, Previously-MSR, IITD, QCOM

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I am interested in applied research that drives sustainable communities by reducing the information gap among various stakeholders, e.g., information about heat islands in the city, or information about crop health to an insurance company. I use techniques from computer vision, machine learning and embedded systems to design these systems. Recent focus in the group has been using techniques in self supervised learning to build scalable and generalizable models that can be applied to areas in urban planning and agriculture.

I lead the Geospatial Computer Vision Group at Plaksha University, Mohali, India. Our vision is to develop state of the art geospatial intelligence for supporting domains across urban climate, agriculture, and water security. Have a look at our latest publications to know more.

I am on the lookout for industries, startups, and students for collaboration towards these goals. If you think I can help, please get in touch.

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selected publications

  1. Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling
    Sambal Shikhar, and Anupam Sobti
    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop on Agriculture Vision, 2024
  2. Reliable Energy Consumption Modeling for an Electric Vehicle Fleet
    Millend Roy, Akshay Nambi, Anupam Sobti, and 5 more authors
    In ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS) , 2022
  3. VmAP: A Fair Metric for Video Object Detection
    Anupam Sobti, Vaibhav Mavi, Chetan Arora, and 1 more author
    In MM ’21: The 29th ACM International Conference on Multimedia , 2021