Gopi Krishna Erabati

Marie Curie PhD | Computer Vision | Perception | Autonomous Driving

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I hold a 𝗠𝗮𝗿𝗶𝗲-𝗖𝘂𝗿𝗶𝗲 𝗣𝗵𝗗 from the University of Coimbra, Portugal, where I specialized in 𝗦𝗰𝗲𝗻𝗲 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗳𝗼𝗿 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗗𝗿𝗶𝘃𝗶𝗻𝗴—pushing the boundaries of AI-driven perception! 🚘🤖

I am fortunate to be advised by Prof. Helder Araujo. My primary research interests are focused on computer vision and machine learning, specifically tasks related to scene understanding.

During my Ph.D. thesis, I worked on fundamental scene understanding tasks such as 3D object detection using LiDAR and multi-modal data fusion, 3D semantic segmentation, and panoptic driving perception.

Prior to joining UC, I obtained a M.Sc. degree in Computer Vision in the Erasmus VIBOT (VIsion and RoBOTics) program at the Université de Dijon, France. I had done my master thesis advised by Prof. Frédéric Lerasle and my summer internship advised by Dr. Simon Lacroix at LAAS-CNRS, France. I had obtained a B.Tech. degree in Electronics and Instrumentation Engineering at Kakatiya University, India. I received a Gold Medal from the Hon’ble Governor of Telangana, India, for excellence in academics during my bachleor’s degree at Kakatiya University, India.

News

Jan 31, 2025 Our SCAM-P paper received acceptance for IEEE ICRA 2025.
Nov 11, 2024 Our RetSeg3D paper got accepted in Computer Vision and Image Understanding (CVIU) journal.
Sep 09, 2024 Our DDet3D paper got accepted in Applied Intelligence journal.
Jun 16, 2024 Our RetFormer paper got accepted in IEEE Transactions on Intelligent Vehicles (IEEE T-IV) journal.
May 05, 2024 Our SRFDet3D paper got accepted in Neurocomputing journal.

Selected Publications

For full list click here!

  1. Panoptic
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    SCAM-P: Spatial Channel Attention Module for Panoptic Driving Perception
    Gopi Krishna Erabati, and Helder Araujo
    In 2025 IEEE International Conference on Robotics and Automation (ICRA) , 2025
  2. 3DObjDet-LiDAR
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    RetFormer: Embracing Point Cloud Transformer with Retentive Network
    Gopi Krishna Erabati, and Helder Araujo
    IEEE Transactions on Intelligent Vehicles, 2024
  3. 3DObjDet-Fusion
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    SRFDet3D: Sparse Region Fusion based 3D Object Detection
    Gopi Krishna Erabati, and Helder Araujo
    Neurocomputing, 2024
  4. 3DSemSeg
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    RetSeg3D: Retention-based 3D semantic segmentation for autonomous driving
    Gopi Krishna Erabati, and Helder Araujo
    Computer Vision and Image Understanding, 2024
  5. 3DObjDet-LiDAR
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    Li3DeTr: A LiDAR Based 3D Detection Transformer
    Gopi Krishna Erabati, and Helder Araujo
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , 2023
  6. 3DObjDet-LiDAR
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    DeLiVoTr: Deep and light-weight voxel transformer for 3D object detection
    Gopi Krishna Erabati, and Helder Araujo
    Intelligent Systems with Applications, 2024
  7. 3DObjDet-LiDAR
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    DDet3D: Embracing 3D Object Detector with Diffusion
    Gopi Krishna Erabati, and Helder Araujo
    Applied Intelligence, 2024
  8. 3DObjDet-Fusion
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    DAFDeTr: Deformable Attention Fusion Based 3D Detection Transformer
    Gopi Krishna Erabati, and Helder Araujo
    In Robotics, Computer Vision and Intelligent Systems , 2024
  9. 3DObjDet-Fusion
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    MSF3DDETR: Multi-Sensor Fusion 3D Detection Transformer for Autonomous Driving
    Gopi Krishna Erabati, and Helder Araujo
    In ICPR 2022 workshop on Deep Learning for Visual Detection and Recognition (DLVDR) , Aug 2022