Finding a path to pursue your passion in researchA CSE PhD candidate shares advice on how to pursue your interests and find your path.
“We have one another to make each other better than what we were yesterday” — embracing the collective of PhD cohorts at CSEPhD student Joan Nwatu discusses the supportive structure of her cohort and academic network at U-M CSE.
Live public street cams are tracking social distancing
Voxel51, a U-M startup led by Prof. Jason Corso, uses custom AI to continuously track vehicle, cyclist, and pedestrian traffic in real time at some of the most visited places in the world.
Creating a place where kids of all abilities can play together
Prof. Hun-Seok Kim helped design iGYM, an augmented reality system that allows disabled and able-bodied people to play physical games together.
Computer vision: Finding the best teaching frame in a video for fake video fightback
The frame in which a human marks out the boundaries of an object makes a huge difference in how well AI software can identify that object through the rest of the video.
Prof. Jason Corso on artificial intelligence
The most exciting use of AI for me focuses around a better collective use of our available resources, says Corso.
Paper award for training computer vision systems more accurately
PhD student Jean Young Song offers an improved solution to the problem of image segmentation.
Kyle Min awarded Towner Prize for Distinguished Academic Achievement
Kyle Min researches how computer vision can analyze law enforcement body cameras.
$1.6M toward artificial intelligence for data science
DARPA is trying to build a system that can turn large data sets into models that can make predictions, and U-M is in on the project.
COVE: a tool for advancing progress in computer vision
Centralizing available data in the intelligent systems community through a COmputer Vision Exchange for Data, Annotations and Tools, called COVE.
Jia Deng Wins Best Paper Award at ECCV
Kevin Compton Receives ACM-ICPC Coach Award
1,000 Hackers Expected on North Campus for MHacks IV
Can our computers continue to get smaller and more powerful?
David Kieras wins a Best Paper Award at CHI 2014
Benjamin Englard Awarded Thiel Fellowship
Doowon Lee Selected for IBM Ph.D. Fellowship
Heartbleed: behind the scenes at CSE
Technological singularity passes, unnoticed until now
Karem Sakallah Continues Commitment to Qatar Computing Research Institute
EECS 494 Computer Games Showcase Highlights Final Projects
Jia Deng Wins Marr Prize at ICCV
Mark Ackerman Named ACM Fellow
Software class demos projects to help one teen communicate
Rada Mihalcea to study physiological and linguistic signals of human behavior
Armin Alaghi Wins Richard and Eleanor Towner Prize for Outstanding PhD Research
John P. Hayes Honored with IEEE TTTC Lifetime Contribution Medal
Dragomir Radev assembles two-volume collection of NACLO linguistics puzzles
Student software projects aim to help teen communicate
Big House Hackathon expected to break record
Iranian internet censorship system profiled for first time
New $28M Center will develop computers of 2025
Computer scientists author book on physical synthesis optimization
Computer scientists author book on Reducing Uncertainty in Logic Circuit Design
Bourne Pursuit: Improving computer tracking of human activity
Researchers have found a way to improve a computer’s human-tracking accuracy by looking at where the targets are going, but also at what they’re doing.
Silvio Savarese’s research applying computer vision techniques to construction sites leads to best paper award and a new spinoff company
“We have pioneered an integrated scene understanding framework that enables the automatic tracking of structural changes, allowing data to be collected easily.”
Computer Vision Course is part of a groundbreaking online initiative
Computer Vision seeks to imitate humans’ ability to recognize objects, navigate scenes, reconstruct layouts, and understand the geometric space and semantic meaning.
Computer Scientists Win Best Paper Award at HPCA
Jason Clemons Receives NVIDIA Graduate Fellowship
Srinath Sridhar awarded Rackham International Student Fellowship
Srinath’s research focuses on using computer vision techniques such as markerless camera tracking for creating augmented reality AR environments.
Sid Bao earns Best Student Paper Award for Computer Vision Research
Bao’s research is in Semantic Structure from Motion, a new framework for jointly recognizing objects as well as reconstructing their underlying 3D geometry.
Researchers funded to create processors that run without battery power
Silvio Savarese authors book in the field of Computer Vision
“This book organizes and introduces major concepts in 3D scene and object representation and inference from still images.”
Computer science researchers introduce Telex to circumvent state-level internet censorship
Computer Vision Research Recognized at Innovation in AEC Conference
With D4AR models, you can monitor progress, productivity, safety, quality, constructability and even site logistics remotely.