Juan D. Mogollón

Ph.D. Candidate · ML Systems · Software Engineer

Perception systems for the real world.

I'm Juan David Mogollón, a Ph.D. student at the University of Missouri working on Deep learning and artificial intelligence for computer vision with a focus on foundations and applications including structure from motion, geolocalization, video object tracking, aerial video building detection, and multimodal sensor fusion.

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Recent work

All 13 →
  1. 2026

    Domain generalization for multiple video object segmentation and tracking using transformers and smart memory

    International Journal of Computer Vision 134 (5), 206

  2. 2026

    Machine Unlearning in Computer Vision: Survey of Methods from Discriminative to Generative Foundation Models

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

  3. 2026

    Linear Fundamental Matrix Estimation from 7 or 5 Points

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

  4. 2026

    Multi-Agent Proximal Policy Optimization for Network-Aware Drone-based Crop Image Analysis

    Conference proceedings

  5. 2026

    Autonomous Perception and Onboard Intelligence for Space Missions: A Survey

    Preprint / survey