World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
6430
World Ranking
6947
National Ranking
3037

Overview

Cornelia Fermüller is affiliated with the University of Maryland, College Park in the United States. Their research spans primarily across the fields of Computer Science and Engineering, with a substantial focus on subfields including Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Aerospace Engineering, and Cognitive Neuroscience.

The scientist's work covers a range of topics relevant to advanced computational methods and robotics. These main areas include:

  • Advanced Memory and Neural Computing
  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Neural Networks and Reservoir Computing
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Neural dynamics and brain function

Fermüller has contributed extensively to the scientific literature, with over one hundred publications, frequently appearing in venues such as arXiv (Cornell University), Frontiers in Robotics and AI, Science Robotics, IEEE Transactions on Pattern Analysis and Machine Intelligence, and the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Notable recent papers authored or co-authored by Fermüller include:

  • "Forecasting Action Through Contact Representations From First Person Video," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "SpikeMS: Deep Spiking Neural Network for Motion Segmentation," 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "DiffPoseNet: Direct Differentiable Camera Pose Estimation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Symbolic Representation and Learning With Hyperdimensional Computing," 2020, Frontiers in Robotics and AI
  • "Robust Nonlinear Control-Based Trajectory Tracking for Quadrotors Under Uncertainty," 2020, IEEE Control Systems Letters

Throughout their career, Fermüller has collaborated with various researchers frequently. Some of the most common co-authors include:

  • Yiannis Aloimonos
  • Nitin J. Sanket
  • Chahat Deep Singh
  • Chethan M. Parameshwara
  • Snehesh Shrestha

Their research contributions focus on advancing computational models and intelligent systems integrating vision, neural computing, and robotics technologies. The work often addresses complex perception and control challenges, including action recognition, motion segmentation, and camera pose estimation, contributing to fields that intersect AI and engineering disciplines.

Best Publications

  • Viewpoint Invariant Texture Description Using Fractal Analysis

    Yong Xu;Hui Ji;Cornelia Fermüller

  • Event-Based Moving Object Detection and Tracking

    Anton Mitrokhin;Cornelia Fermuller;Chethan Parameshwara;Yiannis Aloimonos

  • Affordance detection of tool parts from geometric features

    Austin Myers;Ching L. Teo;Cornelia Fermuller;Yiannis Aloimonos

  • Robot learning manipulation action plans by Watching unconstrained videos from the world wide web

    Yezhou Yang;Yi Li;Cornelia Fermuller;Yiannis Aloimonos

  • Robust Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm

    Hui Ji;C. Fermuller

  • Motion segmentation using occlusions

    A.S. Ogale;C. Fermuller;Y. Aloimonos

  • The Statistics of Optical Flow

    Cornelia Fermüller;David Shulman;Yiannis Aloimonos

  • Scale-space texture description on SIFT-like textons

    Yong Xu;Sibin Huang;Hui Ji;Cornelia FermüLler

  • Qualitative egomotion

    Cornelia Fermüller;Yiannis Aloimonos

  • Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception.

    Anton Mitrokhin;Peter Sutor;Cornelia Fermüller;Yiannis Aloimonos

  • A Projective Invariant for Textures

    Yong Xu;Hui Ji;C. Fermuller

  • Direct perception of three-dimensional motion from patterns of visual motion

    Cornelia Fermüller;Yiannis Aloimonos

  • Effects of Errors in the Viewing Geometry on Shape Estimation

    LoongFah Cheong;Cornelia Fermüller;Yiannis Aloimonos

  • Uncertainty in visual processes predicts geometrical optical illusions.

    Cornelia Fermüller;Henrik Malm

  • EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras

    Anton Mitrokhin;Chengxi Ye;Cornelia Fermuller;Yiannis Aloimonos

  • GapFlyt: Active Vision Based Minimalist Structure-Less Gap Detection For Quadrotor Flight

    Nitin J. Sanket;Chahat Deep Singh;Kanishka Ganguly;Cornelia Fermuller

  • Grasp type revisited: A modern perspective on a classical feature for vision

    Yezhou Yang;Cornelia Fermuller;Yi Li;Yiannis Aloimonos

  • Observability of 3D Motion

    Cornelia Fermüller;Yiannis Aloimonos

  • A spherical eye from multiple cameras (makes better models of the world)

    P. Baker;C. Fermuller;Y. Aloimonos;R. Pless

  • Image Understanding using vision and reasoning through Scene Description Graph

    Somak Aditya;Yezhou Yang;Chitta Baral;Yiannis Aloimonos

  • The role of fixation in visual motion analysis

    Cornelia Fermüller;Yiannis Aloimonos

  • Real-Time Clustering and Multi-Target Tracking Using Event-Based Sensors

    Francisco Barranco;Cornelia Fermuller;Eduardo Ros

  • Vision and action

    Cornelia Fermüller;Yiannis Aloimonos

  • Wavelet-Based Super-Resolution Reconstruction : Theory and Algorithm

    Hui Ji;Cornelia Fermüller

Frequent Co-Authors

Yiannis Aloimonos
Yiannis Aloimonos University of Maryland, College Park
Hui Ji
Hui Ji National University of Singapore
Robert Pless
Robert Pless George Washington University
Michael Pfeiffer
Michael Pfeiffer Bosch Center for Artificial Intelligence
Chitta Baral
Chitta Baral Arizona State University
Tobi Delbruck
Tobi Delbruck ETH Zurich
Hal Daumé
Hal Daumé University of Maryland, College Park
Jana Kosecka
Jana Kosecka George Mason University
Daniel DeMenthon
Daniel DeMenthon Johns Hopkins University Applied Physics Laboratory
Tom Goldstein
Tom Goldstein University of Maryland, College Park

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