Ikechukwu Daniel Adebi

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I am a third-year Ph.D. student in Computer Science at the University of Texas at Austin, currently working under Prof. Mitchell Pryor and Prof. Peter Stone.

My broad research interests lie at the intersection of robotics, computer vision, and representation learning, with a focus on robot learning for physically grounded and structured perception. I aim to train models that capture the underlying structure of the physical world, enabling generalizable perception, planning, and control in embodied agents.

Previously, I received my bachelor’s and master’s degrees from the Massachusetts Institute of Technology studying Computer Science with a focus on Artificial Intelligence.

News

Jun 18, 2026 Audio-Visual Camera Pose Estimation paper got accepted by ECCV 2026!
May 27, 2025 Started internship at UT Southwestern Medical Center as a research assistant under Prof. Yang Xie and Prof. Wenqi Shi.
Sep 25, 2024 AMAGO-2 got accepted by NeurIPS 2024!
May 22, 2023 Started internship at IBM Research this summer in Yorktown Heights, NY.
Apr 22, 2023 I was selected to be a GEM Fellow!

Selected Publications

  1. av_camera_pose_overview.png
    Audio-Visual Camera Pose Estimation with Passive Scene Sounds and In-the-Wild Video
    Daniel Adebi, Sagnik Majumder, and Kristen Grauman
    ECCV, 2026
  2. amago2.png
    AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
    Jake Grisby, Justin Sasek*, Samyak Parajuli*, Daniel Adebi*, Amy Zhang, and Yuke Zhu
    NeurIPS, 2024