News & Events

12 Awards were found.




  •  AWARD   Best Paper - Honorable Mention Award at WACV 2021
    Date: January 6, 2021
    Awarded to: Rushil Anirudh, Suhas Lohit, Pavan Turaga
    MERL Contact: Suhas Lohit
    Research Areas: Computational Sensing, Computer Vision, Machine Learning
    Brief
    • A team of researchers from Mitsubishi Electric Research Laboratories (MERL), Lawrence Livermore National Laboratory (LLNL) and Arizona State University (ASU) received the Best Paper Honorable Mention Award at WACV 2021 for their paper "Generative Patch Priors for Practical Compressive Image Recovery".

      The paper proposes a novel model of natural images as a composition of small patches which are obtained from a deep generative network. This is unlike prior approaches where the networks attempt to model image-level distributions and are unable to generalize outside training distributions. The key idea in this paper is that learning patch-level statistics is far easier. As the authors demonstrate, this model can then be used to efficiently solve challenging inverse problems in imaging such as compressive image recovery and inpainting even from very few measurements for diverse natural scenes.
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  •  AWARD   MERL Researchers win Best Paper Award at ICCV 2019 Workshop on Statistical Deep Learning in Computer Vision
    Date: October 27, 2019
    Awarded to: Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Chen Feng, Xiaoming Liu
    MERL Contact: Tim Marks
    Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
    Brief
    • MERL researcher Tim Marks, former MERL interns Abhinav Kumar and Wenxuan Mou, and MERL consultants Professor Chen Feng (NYU) and Professor Xiaoming Liu (MSU) received the Best Oral Paper Award at the IEEE/CVF International Conference on Computer Vision (ICCV) 2019 Workshop on Statistical Deep Learning in Computer Vision (SDL-CV) held in Seoul, Korea. Their paper, entitled "UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss," describes a method which, given an image of a face, estimates not only the locations of facial landmarks but also the uncertainty of each landmark location estimate.
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  •  AWARD   MERL researcher wins Best Visualization Note Award at PacificVis2019 Conference
    Date: April 23, 2019
    Awarded to: Teng-yok Lee
    Research Areas: Artificial Intelligence, Computer Vision, Data Analytics, Machine Learning
    Brief
    • MERL researcher Teng-yok Lee has won the Best Visualization Note Award at the PacificVis 2019 conference held in Bangkok Thailand, from April 23-26, 2019. The paper entitled "Space-Time Slicing: Visualizing Object Detector Performance in Driving Video Sequences" presents a visualization method called Space-Time Slicing to assist a human developer in the development of object detectors for driving applications without requiring labeled data. Space-Time Slicing reveals patterns in the detection data that can suggest the presence of false positives and false negatives.
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  •  AWARD   R&D100 award for Deep Learning-based Water Detector
    Date: November 16, 2018
    Awarded to: Ziming Zhang, Alan Sullivan, Hideaki Maehara, Kenji Taira, Kazuo Sugimoto
    MERL Contact: Alan Sullivan
    Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
    Brief
    • Researchers and developers from MERL, Mitsubishi Electric and Mitsubishi Electric Engineering (MEE) have been recognized with an R&D100 award for the development of a deep learning-based water detector. Automatic detection of water levels in rivers and streams is critical for early warning of flash flooding. Existing systems require a height gauge be placed in the river or stream, something that is costly and sometimes impossible. The new deep learning-based water detector uses only images from a video camera along with 3D measurements of the river valley to determine water levels and warn of potential flooding. The system is robust to lighting and weather conditions working well during the night as well as during fog or rain. Deep learning is a relatively new technique that uses neural networks and AI that are trained from real data to perform human-level recognition tasks. This work is powered by Mitsubishi Electric's Maisart AI technology.
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  •  AWARD   Fujisankei Newspaper Gold and Bronze Medal Advertisement Award
    Date: September 30, 2015
    Awarded to: Mitsubishi Electric Corp.
    Research Area: Computer Vision
    Brief
    • Mitsubishi Electric Corp. (MELCO) advertisements based on 3D reconstruction received a Gold medal and a Bronze medal in the Fujisankei Newspaper. "Will I fit?", "He'll fit just fine.", and "Oops, did you think in 3D?".
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  •  AWARD   AVSS 2011 Best Paper Award
    Date: September 2, 2011
    Awarded to: Fatih Porikli and Huseyin Ozkan.
    Awarded for: "Data Driven Frequency Mapping for Computationally Scalable Object Detection"
    Awarded by: IEEE Advanced Video and Signal Based Surveillance (AVSS)
    Research Area: Machine Learning
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  •  AWARD   CVPR 2011 Longuet-Higgins Prize
    Date: June 25, 2011
    Awarded to: Paul A. Viola and Michael J. Jones
    Awarded for: "Rapid Object Detection using a Boosted Cascade of Simple Features"
    Awarded by: Conference on Computer Vision and Pattern Recognition (CVPR)
    MERL Contact: Michael Jones
    Research Area: Machine Learning
    Brief
    • Paper from 10 years ago with the largest impact on the field: "Rapid Object Detection using a Boosted Cascade of Simple Features", originally published at Conference on Computer Vision and Pattern Recognition (CVPR 2001).
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  •  AWARD   OTCBVS 2010 Best Paper Award
    Date: June 1, 2010
    Awarded to: Vijay Venkataraman and Fatih Porikli
    Awarded for: "RelCom: Relational Combinatorics Features for Rapid Object Detection"
    Awarded by: IEEE Workshop on Object Tracking and Classification Beyond and in the Visible Spectrum (OTCBVS)
    Research Area: Machine Learning
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  •  AWARD   VIS 2007 Best Paper Award
    Date: January 1, 2007
    Awarded to: Yuri Ivanov, Christopher Wren, Alexander Sorokin and Ishwinder Kaur
    Awarded for: "Visualizing the History of Living Spaces"
    Awarded by: IEEE Transactions on Visualization and Computer Graphics, IEEE Visualization Conference (VIS)
    Research Area: Computer Vision
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  •  AWARD   CVPR 2007 Best Paper Runner Up of 1,300 submitted
    Date: January 1, 2007
    Awarded to: Oncel Tuzel, Fatih Porikli and Peter Meer
    Awarded for: "Human Detection via Classification of Riemannian Manifolds"
    Awarded by: IEEE Computer Vision and Pattern Recognition (CVPR)
    Research Area: Machine Learning
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  •  AWARD   Nikkan Kogyo Shimbun Best 10 New Products Prize
    Date: January 1, 2006
    Awarded to: MERL Staff
    Awarded for: The Dome Projector
    Awarded by: Nikkan Kogyo Shimbun
    Research Area: Computer Vision
    Brief
    • The Dome Projector, which was developed by MERL staff and productized by Mitsubishi Electric, was recognized by Nikkan Kogyo Simbun's Best 10 New Products Prize.
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  •  AWARD   Top 100 innovator under the age of 35 worldwide (TR35)
    Date: September 1, 2004
    Awarded to: Ramesh Raskar
    Awarded for: Large computer display systems that seamlessly combine images from multiple projectors.
    Awarded by: MIT Technology Review
    Research Area: Computer Vision
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