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  1. View Department Office Contacts. Department of Computer Science Brendan Iribe Center for Computer Science and Engineering University of Maryland 8125 Paint Branch Drive

  2. Sanjoy Chowdhury. I am a second year CS PhD student at University of Maryland, College Park advised by Prof. Dinesh Manocha. I am broadly interested in multi-modal learning and its different applications. My current line of research involves studying the interplay between vision and audio modality and learning their holistic understanding in a ...

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  3. Sanjoy Chowdhury PhD student @ University of Maryland College Park | Student Researcher @ Google Research | Previously Intern @ Adobe Research, Senior Research Engineer at Samsung Research,...

    • 500+
    • University of Maryland
    • Uttarpara Government High School
    • Bengaluru, Karnataka, India
  4. Sanjoy Chowdhury is an Indian film score composer. He debuted in 1998, by composing the background score of the Malayalam movie, Ennu Swantham Janakikutty . [2] Shortly afterwards, filmmaker John Matthew Matthan roped him in to compose the background score of his Aamir Khan starrer, Sarfarosh .

    Year
    Film
    Language
    2021
    Hindi
    2020
    Hindi
    2019
    Hindi
    2018
    Hindi
  5. Abstract. We present AdVerb, a novel audio-visual dereverberation framework that uses visual cues in addition to the reverberant sound to estimate clean audio. Although audio-only dereverberation is a well-studied problem, our approach incorporates the complementary visual modality to perform audio dereverberation.

  6. A neuro evolutionary scheme for improved IoT energy efficiency in smart cities. S Choudhury, AK Luhach, W Alnumay, B Pradhan, DS Roy. Computers and Electrical Engineering 104, 108443. , 2022. 1. 2022. MUSIC: A hybrid computing environment for burrows-wheeler alignment for massive amount of short read sequence data.

  7. Aug 23, 2023 · Sanjoy Chowdhury, Sreyan Ghosh, Subhrajyoti Dasgupta, Anton Ratnarajah, Utkarsh Tyagi, Dinesh Manocha. We present AdVerb, a novel audio-visual dereverberation framework that uses visual cues in addition to the reverberant sound to estimate clean audio.