Ashish Verma
आशीष वर्मा

PhD Student
Image Processing and Computer Vision Lab,
Department of Electronics and Electrical Communication Engg.,
Indian Institute of Technology Kharagpur, West Bengal, India



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Biography

Ashish Verma has joined the Department of Electrical and Electronics Communication Engineering of Indian Institute of Technology Kharagpur as a Ph.D. Research Scholar in 2016, under the supervision of Prof. Debashis Sen. Before that, he received an M. Tech degree in Communication Systems from National Institute of Technology Patna in 2016 and a B. Tech degree in Electronics and Telecommunication Engineering from SSEC Bhilai(CSVTU) in 2013.

His research interests cover computer vision and deep learning, with special emphasis on eye movement data analysis. Specifically, he is dedicated to designing learning frameworks to model human visual scanpaths for dynamic analysis of still images. He is also interested in exploring learning algorithms for action recognition in still images and medical image analysis.

Selected Publications (More On Google Scholar)

  • Arxiv Pre-prints
  • Conference Papers
    • "Estimated Depth based Progressive Interactive Framework for RGB Salient Object Detection in Images." Sudipta Bhuyan, Ashish Verma, Debashis Sen, Sankha Deb. IEEE International Conference on Image Processing (ICIP). IEEE, 2023.  
    • "Transformer based self-context aware prediction for few-shot anomaly detections in videos." Gargi V Pillai, Ashish Verma, Debashis Sen. IEEE International Conference on Image Processing (ICIP). IEEE, 2022.   PDF Webpage
    • "Image Re-Attentionizing using Particle Swarm Optimization." Challa Venkatrao, Rajarshi Pal; Ashish Verma, Debashis Sen. International Conference on Pattern Recognition and Machine Intelligence. Springer, 2021.   PDF Webpage
    • "HMM-based Convolutional LSTM for Visual Scanpath Prediction." Ashish Verma, Debashis Sen. 27th European Signal Processing Conference (EUSIPCO). IEEE, 2019.   PDF Webpage
    • "Electrocardiogram denoising using Wavelet decomposition and EMD domain filtering." Ashish Verma, Pratik, Gayadhar Pradhan. IEEE Region 10 Conference (TENCON). IEEE, 2016.   PDF Webpage
  • Journal Papers
    • "Generative Augmentation Driven Prediction of Diverse Visual Scanpaths in Images." Ashish Verma, Debashis Sen. IEEE Transactions on Artificial Intelligence (2023): 940-955.  Webpage
    • "Consistent Features from Varied Contexts and Ordered Multiple Attention Forms for RGB-D Salient Object Detection" Sudipta Bhuyan, Ashish Verma, Debashis Sen, Sankha Deb. IEEE Sensors Journal (2024): Page number.  Webpage New
    • "Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images" Ashish Verma, Aupendu Kar, Krishnendu Ghosh, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas. IEEE Transactions on Instrumentation and Measurement (2024): Page number.  Webpage New

Education

  • PhD in Image Processing and Computer Vision   July 16 – Ongoing
    Indian Institute of Technology Kharagpur
    • Generation of Artificial Visual Scanpaths for Dynamic Analysis of Still Images
    • Tools: Matlab, Python, PyTorch
    • Supervisor: Prof. Debashis Sen
  • Masters of Technology in Communication Systems   July 2014 - July 2016
    National Institute of Technology Patna
    • Thesis Title: Electrocardiogram Denoising using Wavelet and Empirical Mode Decomposition.
    • Proposed an electrocardiogram denoising technique to remove various noises from ECG signal.
    • Tools: Matlab
    • Supervisor: Prof. Gayadhar Pradhan
  • Bachelors of Technology in Electronics and Telecommunication Engineering   July2009 - June 2013
    Shri Shankaracharya Engineering College Bhilai (CSVTU)
    • Thesis Title: RFID based Automatic Attendance System.
    • Tools: Matlab

Experience

  • Graduate Researcher   Autumn 2014 – 2016
    National Institute of Technology Patna
    • Proposed an ECG denoising technique based on wavelet and emipirical mode decomposition.
  • Doctoral Research Student   Autumn 2016 – ongoing
    Indian Institute of Technology Kharagpur
    • Proposed a diverse visual scanpath prediction model driven by novel generative augmentation technique.
  • Teaching Assistant   Autumn 2016 – ongoing
    Indian Institute of Technology Kharagpur
    • TA in Basic Electronics Laboratory (EC 29001) for 5 semesters (Spring 2018, Spring 2019, Spring 2020, Spring 2021, Autumn 2021).
      TA in Networks Laboratory (EC 29005) for 3 semesters (Autumn 2018, Autumn 2019, Autumn 2020).
    • TA in Digital Signal Processing and Applications (EC 60085).
      TA in Basic Electronics Theory (EC 21101) for 2 semesters (Spring 2018, Spring 2019).
      TA in Neural Networks and Applications (EC 60013) for 4 semesters (Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021).
      TA in Vision and Visualization (EC 61302) (Spring 2020).
      TA in Computer Vision (EC 60002) for 2 semesters (Spring 2021, Spring 2022).

Honors and Awards

  • Qualcomm Innovation Fellowship (QIF) India Winner June 2019
  • MHRD Fellowship for pursuing doctoral degree June 2016
  • PhD offers in IIT-KGP and IIT-Guwahati June 2016
  • MHRD Fellowship for pursuing masters degree June 2014
  • Qualify GATE Examination in consecutive four years
    2013, 2014, 2015, 2016 and scored 565, 607, 548,
    and 599 respectively. March 2013-2016
  • Got the scholarship under “CENTRAL SECTOR SCHEME OF SCHOLARSHIPS FOR COLLEGE AND
    UNIVERSITY STUDENTS” of MHRD.
    July 2009-June 2013

Professional Activities

  • Talks and Tutorials
    • Taught deep learning tutorials for Short Term Course on "Machine Vision for Robot Applications in Manufacturing, 2022" (MVRAM '22) organised by Centre of Excellence in Advanced Manufacturing Technology (COEAMT), IIT Kharagpur.
    • Delivered a hands on session in the Workshop on Deep Learning and Optimisation Organised by Techno Main Salt Lake, Kolkata Sponsored by NIT Patna (January 2021).
    • Delivered a hands on session in the QIP short term course on "FUNDAMENTALS OF DIGITAL IMAGE AND VIDEO PROCESSING WITH 30D APPLICATIONS" Organised by Dept. of Mining Engineering, IIT Kharagpur (May, 2018).
      Course ID : QIP/AICTE/STC/17-18/MIN/125
  • Reviews
    • Journals: IET Image Processing; Circuits, Systems, & Signal Processing
  • Conference Attended
    • EUSIPCO 2019
  • Internships and Courses Attended
    • Worked as Interim Engineering Intern at Qualcomm India Private Limited from May 4, 2020 to July3, 2020.
    • “Summer School on Machine Learning” at IIIT Hyderabad during 10th – 15th July, 2017.
    • Short-Term Course on Recent Trends in Speech and Image Processing at NIT Patna during 23rd -27th June, 2015.
    • Short-Term Course on Analog Integrated Circuits at NIT Patna during 15th -22nd June, 2015.