The Institute for Systems Research
Maryland Robotics Center
Brain and Behavior Institute
Cornelia Fermüller is an associate research scientist at the Computer Vision Laboratory.
Fermüller’s research is in the areas of computer vision and human vision, and she has written more than 35 articles in journals and 100 publications in refereed conferences and books. In her computer vision work, she has developed many computational models and implemented software solutions for applications in visual navigation and image processing. Fermüller's work on biological vision involves examining the computational constraints, building simulation models, and performing psychophysical experiments to understand the possible computational mechanisms explaining human motion and low-level signal perception.
Many of her studies have been investigating the computational principles underlying multiple view geometry and statistics, and she has discovered a number of basic computational principles in the analysis of visual motion and shape recovery. These include view-invariant texture descriptors, constraints on 3-D motion estimation, 3-D shape and image segmentation, insights on the effects of sensor design on motion estimation, and the findings of statistical bias in low-level processing.
Fermüller has applied these studies in a number of applications, including new imaging sensors for better motion and shape recovery, software for visual motion tasks in navigation and robotics, and various tasks of video computing, such as compression, video manipulation, and image-based rendering.
Her current research interests are centered around developing cognitive robotic systems that integrate, perception with action, reasoning and language. In ongoing projects she develops robots that recognize human manipulation activities and search for an object in a room.
She received a doctorate from the Technical University of Vienna, Austria in 1993 and an M.S. from the University of Technology, Graz, Austria in 1989, both in applied mathematics.
Manipulation actions, event-based vision, mid-level vision, motion analysis, texture, optical illusions
Fermüller and Murisanu VAIolin work featured in Maryland TodayMaria Herd of UMIACS has produced an excellent video about the work.
Seven UMD Grand Challenges projects include ISR and MRC facultyThe $30 million program will accelerate innovative solutions to some of the world's most complex problems.
Levi Burner named a Future Faculty FellowThe Clark School program prepares engineering and computer science Ph.D. students for careers in academia.
Autonomous drones based on bees use AI to work togetherThe minute robots could one day provide backup to pollinators.
Chahat Deep Singh named recipient of Wylie Dissertation FellowshipThe computer science student also was named a Clark School Future Faculty Fellow this year.
Chahat Deep Singh named a Future Faculty FellowThe program prepares Ph.D. students for academic careers in engineering and computer science.
Fermüller, ARC Lab create app to improve violin instructionSchool of Music's Irina Muresanu collaborates on 'Arts for All' project
EVPropNet finds drones by detecting their propellersThis deep learning-based solution uses data collected by event camera sensors.
Bee drones featured on new Voice of America videoActive perception is an efficient, fast way for robots to complete task.
Perception and Robotics Group creates hive of ideas for dronesPalm-sized autonomous robots could help bees pollinate flowers, search out survivors and watch patients for problems
Computer vision advances in contact-centered representations, modelsEgo-OMG technology comes in first and second in international computer vision challenge.
UMD Researchers to Have a Strong Showing at ICRA 2021University of Maryland researchers will present 15 papers at the IEEE International Conference on Robotis and Automation (ICRA 2021) to held on May 30 to June 5, 2021.
Ganguly, Fiaz, Suryan are first MRC GRA recipientsThe new program is open to mid-career UMD Ph.D. students with Maryland Robotics Center advisors.
'MorphEyes' stereo camera system improves quadrotor UAV navigationThe Perception and Robotics Group is the first to use morphable design to achieve a variable baseline stereo vision system on a quadrotor UAV.
MRC Faculty and Researchers to Present 16 Papers at International Robotics Conference - IROS 2020International Conference on Intelligent Robots and Systems - From 25 October 2020 until 29 November 2020
Cornelia Fermüller is PI for 'NeuroPacNet,' a $1.75M NSF funding awardThe resulting "network of networks" will further the scientific grand challenge of developing neuromorphic artificial intelligence.
Czech prime minister views AI, VR, AR and computer vision researchThe visit was hosted by ISR Director William Regli and the university’s Office of International Affairs.
Fermuller, Shamma, Etienne-Cummings receive NSF grant for 'Research Coordination Network'The network will advance understanding of how biological systems learn complex symbolic signals, and create artificial systems with similar capabilities.
- UMD Grand Challenges Team Project Grant: Music Education for All through AI
- NSF: NeuroPacNet: Accelerating Research on Neuromorphic Perception, Action, and Cognition
- NSF: Research Coordination Network: Cognitive Functions in the Learning of Symbolic Signals & Systems
- NSF CPS: MONA LISA—Monitoring and Assisting with Actions