Akhil Perincherry

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Hello! I am a Ph.D. student at Oregon State University with Dr. Stefan Lee working generally in visual-language grounding and embodied AI. I am also an ML engineer at Ford Motor Company working primarily on perception features for automated driving mostly using camera images and LiDAR point clouds.

My research interests primarily lie in the intersection of vision and language learning. In general, I am interested in solving problems that stem from a lack of grounding, lack of annotated or domain-specific data, and problems where testing data is distributionally different from training data. Of late, I am particularly drawn to problems motivated by cognitive science, perhaps to my detriment.

Previously, I graduated from the University of Florida with my masters. Before that, I worked at the Indian Institute of Science under Prof. K R Ramakrishnan at the Computer Vision and Artificial Intelligence (CVAI) lab where I worked on table-top touch-interface applications using a projector-camera based setup.

In my free time (404), I enjoy playing/watching soccer, kickboxing, hiking (esp. waterfall hikes) and practically any outdoor sport.

news

Aug 01, 2025 “Non-conflicting Energy Minimization in Reinforcement Learning based Robot Control” was accepted to CoRL 2025 as an oral presentation.
Jun 25, 2025 Harnessing Input-adaptive Inference for Efficient VLN was accepted to ICCV 2025.
May 10, 2025 I was named as an outstanding reviewer (top 5%) at CVPR 2025!
Feb 26, 2025 Do Visual Imaginations Improve Vision-and-Language Navigation Agents? was accepted to CVPR 2025 (22.1%).

selected publications

  1. CoRL
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    Non-conflicting Energy Minimization in Reinforcement Learning based Robot Control
    Skand Peri, Akhil Perincherry*, Bikram Pandit*, and 1 more author
    Conference on Robot Learning (CoRL), 2025
  2. CVPR
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    Do Visual Imaginations Improve Vision-and-Language Navigation Agents?
    Akhil Perincherry, Jacob Krantz, and Stefan Lee
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
  3. ICCV
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    Harnessing Input-adaptive Inference for Efficient VLN
    Dongwoo Kang, Akhil Perincherry, Zachary Coalson, and 3 more authors
    In International Conference on Computer Vision (ICCV), 2025
  4. ICCV
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    Boosting 3-dof ground-to-satellite camera localization accuracy via geometry-guided cross-view transformer
    Yujiao Shi, Fei Wu, Akhil Perincherry, and 2 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
  5. ICRA
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    Satellite image based cross-view localization for autonomous vehicle
    Shan Wang, Yanhao Zhang, Ankit Vora, and 2 more authors
    2023 IEEE International Conference on Robotics and Automation (ICRA), 2022