Monday January 27, 2020
Robotics
Session Chair:
Kurt Niel, University of Applied Sciences Upper Austria (Austria)
8:45 – 10:10 AM
Regency A
8:45
Conference Welcome
8:50IRIACV-013
Passive infrared markers for indoor robotic positioning and navigation, Jian Chen, AltVision, Inc. (United States)
9:10IRIACV-014
Improving multimodal localization through self-supervision, Robert Relyea, Darshan Ramesh Bhanushali, Karan Manghi, Abhishek Vashist, Clark Hochgraf, Amlan Ganguly, Andres Kwasinski, Michael Kuhl, and Ray Ptucha, Rochester Institute of Technology (United States)
9:30IRIACV-015
Creation of a fusion image obtained in various electromagnetic ranges used in industrial robotic systems, Evgeny Semenishchev1 and Viacheslav Voronin2; 1Moscow State Technical University (STANKIN) and 2Don State Technical University (Russian Federation)
9:50IRIACV-016
Locating mechanical switches using RGB-D sensor mounted on a disaster response robot, Takuya Kanda1, Kazuya Miyakawa1, Jeonghwang Hayashi1, Jun Ohya1, and Hiroyuki Ogata2; 1Waseda University and 2Seikei University (Japan)
10:10 – 10:50 AM Coffee Break
Machine Learning
Session Chairs:
Kurt Niel, University of Applied Sciences Upper Austria (Austria) and Juha Röning, University of Oulu (Finland)
10:50 AM – 12:30 PM
Regency A
10:50IRIACV-048
A review and quantitative evaluation of small face detectors in deep learning, Weihua Xionog, EagleSens Inc. (United States)
11:10IRIACV-049
Rare-class extraction using cascaded pretrained networks applied to crane classification, Sander Klomp1,2, Guido Brouwers2, Rob Wijnhoven2, and Peter de With1; 1Eindhoven University of Technology and 2ViNotion (the Netherlands)
11:30IRIACV-050
Detection and characterization of rumble strips in roadway video logs, Deniz Aykac, Thomas Karnowski, Regina Ferrell, and James Goddard, Oak Ridge National Laboratory (United States)
11:50IRIACV-051
Real-time small-object change detection from ground vehicles using a Siamese convolutional neural network (JIST-first), Sander Klomp, Dennis van de Wouw, and Peter de With, Eindhoven University of Technology (the Netherlands)
12:10IRIACV-052
Perceptual license plate super-resolution with CTC loss, Zuzana Bilkova1,2 and Michal Hradis3; 1Charles University, 2Institute of Information Theory and Automation, and 3Brno University of Technology (Czechia)
12:30 – 2:00 PM Lunch
PLENARY: Frontiers in Computational Imaging
Session Chairs: Jonathan Phillips, Google Inc. (United States) and Radka Tezaur, Intel Corporation (United States)
2:00 – 3:10 PM
Grand Peninsula D
Imaging the unseen: Taking the first picture of a black hole, Katherine Bouman, California Institute of Technology (United States)
Katherine Bouman is an assistant professor in the Computing and Mathematical Sciences Department at the California Institute of Technology. Before joining Caltech, she was a postdoctoral fellow in the Harvard-Smithsonian Center for Astrophysics. She received her PhD in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT in EECS. Before coming to MIT, she received her bachelor's degree in electrical engineering from the University of Michigan. The focus of her research is on using emerging computational methods to push the boundaries of interdisciplinary imaging.
3:10 – 3:30 PM Coffee Break
Computer Vision & Inspection
Session Chair:
Kurt Niel, University of Applied Sciences Upper Austria (Austria)
3:30 – 4:50 PM
Regency A
3:30IRIACV-070
Estimating vehicle fuel economy from overhead camera imagery and application for traffic control, Thomas Karnowski1, Ryan Tokola1, Sean Oesch1, Matthew Eicholtz2, Jeff Price3, and Tim Gee3; 1Oak Ridge National Laboratory, 2Florida Southern College, and 3GRIDSMART (United States)
3:50IRIACV-071
Tailored photometric stereo: Optimization of light source positions for different materials, Christian Kapeller1,2, Doris Antensteiner1, Thomas Pinez1, Nicole Brosch1, and Svorad Štolc1; 1AIT Austrian Institute of Technology GmbH and 2Vienna University of Technology (Austria)
4:10IRIACV-072
Crowd congestion detection in videos, Sultan Daud Khan1, Habib Ullah1, Mohib Ullah2, and Faouzi Alaya Cheikh2; 1University of Ha'il (Saudi Arabia) and 2Norwegian University of Science and Technology (Norway)
4:30IRIACV-074
Head-based tracking, Mohib Ullah1, Habib Ullah2, Kashif Ahmad3, Ali Shariq Imran1, and Faouzi Alaya Cheikh1; 1Norwegian University of Science and Technology (Norway), 2University of Ha'il (Saudi Arabia), and 3Hamad Bin Khalifa University (Qatar)
5:00 – 6:00 PM All-Conference Welcome Reception
Wednesday January 29, 2020
10:00 AM – 3:30 PM Industry Exhibition - Wednesday
10:10 – 11:00 AM Coffee Break
12:30 – 2:00 PM Lunch
PLENARY: VR/AR Future Technology
Session Chairs: Jonathan Phillips, Google Inc. (United States) and Radka Tezaur, Intel Corporation (United States)
2:00 – 3:10 PM
Grand Peninsula D
Quality screen time: Leveraging computational displays for spatial computing, Douglas Lanman, Facebook Reality Labs (United States)
Douglas Lanman is the director of Display Systems Research at Facebook Reality Labs, where he leads investigations into advanced display and imaging technologies for augmented and virtual reality. His prior research has focused on head-mounted displays, glasses-free 3D displays, light-field cameras, and active illumination for 3D reconstruction and interaction. He received a BS in Applied Physics with Honors from Caltech in 2002 and his MS and PhD in Electrical Engineering from Brown University in 2006 and 2010, respectively. He was a senior research scientist at NVIDIA Research from 2012 to 2014, a postdoctoral associate at the MIT Media Lab from 2010 to 2012, and an assistant research staff member at MIT Lincoln Laboratory from 2002 to 2005. His most recent work has focused on developing the Oculus Half Dome: an eye-tracked, wide-field-of-view varifocal HMD with AI-driven rendering.
3:10 – 3:30 PM Coffee Break
Intelligent Robotics and Industrial Applications using Computer Vision 2020 Interactive Papers Session
5:30 – 7:00 PM
Sequoia
The following works will be presented at the EI 2020 Symposium Interactive Papers Session.
IRIACV-325
An evaluation of embedded GPU systems for visual SLAM algorithms, Tao Peng, Dingnan Zhang, Don Nirmal, and John Loomis, University of Dayton (United States)
5:30 – 7:00 PM EI 2020 Symposium Interactive Posters Session
5:30 – 7:00 PM Meet the Future: A Showcase of Student and Young Professionals Research