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Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos

IEEE transactions on pattern analysis and machine intelligence, November 2019, Vol.41(11), pp.2677-2692 [Peer Reviewed Journal]

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Nonlinear regression approach for acid dye remediation using activated adsorbent: Kinetic, isotherm, thermodynamic and reusability studies

Microchemical Journal, July 2019, Vol.148, pp.605-615 [Peer Reviewed Journal]

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Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch

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TECHNOLOGIES FOR CONTROL PLANE SEPARATION IN A NETWORK INTERFACE CONTROLLER

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Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos

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SEGMENTATION D'OBJETS DE PREMIER PLAN GÉNÉRIQUES DANS DES IMAGES ET DES VIDÉOS
SEGMENTING GENERIC FOREGROUND OBJECTS IN IMAGES AND VIDEOS

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Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)

International Journal of Computer Vision, 2018, Vol.126(7), pp.714-730 [Peer Reviewed Journal]

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Efficient removal of Acid Green 25 dye from wastewater using activated Prunus Dulcis as biosorbent: Batch and column studies

Journal of environmental management, 15 March 2018, Vol.210, pp.226-238 [Peer Reviewed Journal]

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Human machine collaboration for foreground segmentation in images and videos

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Iot Based Prediction Of Bus Arrival Time Using Gps System

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by this Author/Contributor:

  1. Jain, Suyog
  2. Jain, Suyog Dutt
  3. Grauman, Kristen
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  5. Ramteke, Karuna

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