News & Events

9 Awards were found.




  •  AWARD   MERL researcher wins Best Visualization Note Award at PacificVis2019 Conference
    Date: April 23, 2019
    Awarded to: Teng-yok Lee
    MERL Contact: 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 Contacts: Alan Sullivan; Ziming Zhang
    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   CHiME 2012 Speech Separation and Recognition Challenge Best Performance
    Date: June 1, 2013
    Awarded to: Yuuki Tachioka, Shinji Watanabe, Jonathan Le Roux and John R. Hershey
    Awarded for: "Discriminative Methods for Noise Robust Speech Recognition: A CHiME Challenge Benchmark"
    Awarded by: International Workshop on Machine Listening in Multisource Environments (CHiME)
    MERL Contact: Jonathan Le Roux
    Research Area: Speech & Audio
    Brief
    • The results of the 2nd 'CHiME' Speech Separation and Recognition Challenge are out! The team formed by MELCO researcher Yuuki Tachioka and MERL Speech & Audio team researchers Shinji Watanabe, Jonathan Le Roux and John Hershey obtained the best results in the continuous speech recognition task (Track 2). This very challenging task consisted in recognizing speech corrupted by highly non-stationary noises recorded in a real living room. Our proposal, which also included a simple yet extremely efficient denoising front-end, focused on investigating and developing state-of-the-art automatic speech recognition back-end techniques: feature transformation methods, as well as discriminative training methods for acoustic and language modeling. Our system significantly outperformed other participants. Our code has since been released as an improved baseline for the community to use.
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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   DEIM 2010 Best Paper Award
    Date: February 1, 2010
    Awarded to: Hideya Shibata, Mamoru Kato, Mitsunori Kori and William Yerazunis
    Awarded for: "An Automatic Training Data Collection Method for Confidential E-mail Detection"
    Awarded by: The Forum on Data Engineering and Information Management (DEIM)
    MERL Contact: William Yerazunis
    Research Area: Data Analytics
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  •  AWARD   IEEE Young Author Best Paper Award
    Date: March 16, 2007
    Awarded to: Michael Seltzer
    Awarded for: "Likelihood-Maximizing Beamforming for Robust Hands-free Speech Recognition"
    Awarded by: IEEE Signal Processing Society
    Research Area: Speech & Audio
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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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