Ashish Verma

About

Ashish Verma is currently working as senior researcher in Dolby Laboratories. He completed his Ph.D. in 2024 from the Department of Electrical Engineering, Indian Institute of Technology (IIT) Kharagpur, where he joined as a Ph.D. research scholar in 2016 under the supervision of Prof. Debashis Sen. Prior to this, he received an M.Tech. degree in Communication Systems from the National Institute of Technology (NIT) Patna and a B.Tech. degree in Electronics and Telecommunication Engineering from SSEC Bhilai (CSVTU).

His research interests include computer vision and deep learning, and some of his works are on developing frameworks to model and leverage human visual scanpaths for the dynamic analysis of still images. He is also interested in learning-based approaches for action recognition in still images and medical image analysis.

Employment

Employment history is unavailable.

Education

• INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR Doctor of Philosophy
  2016 - Present
• National Institute of Technology Patna Master of Technology
  2014 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• ScanFormer: Transformer-based Prediction of Multiple Visual Scanpaths of Different Varieties
  ACM Transactions on Multimedia Computing, Communications, and Applications 2026 DOI: 10.1145/3817047
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• Dynamic context learning using multiple visual scanpaths for action classification in still images
  Applied Soft Computing 2026 DOI: 10.1016/j.asoc.2025.114521
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• Consistent Features From Varied Contexts and Ordered Multiple Attention Forms for RGB-D Salient Object Detection
  IEEE Sensors Journal 2024 DOI: 10.1109/JSEN.2024.3405658
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• Generative Augmentation-Driven Prediction of Diverse Visual Scanpaths in Images
  IEEE Transactions on Artificial Intelligence 2024 DOI: 10.1109/TAI.2023.3278650
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• Artificially Generated Visual Scanpath Improves Multilabel Thoracic Disease Classification in Chest X-Ray Images
  IEEE Transactions on Instrumentation and Measurement 2024 DOI: 10.1109/TIM.2024.3428591
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• Image Re-attentionizing Using Particle Swarm Optimization
  Lecture Notes in Computer Science 2024 DOI: 10.1007/978-3-031-12700-7_4
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• Transformer Based Self-Context Aware Prediction for Few-Shot Anomaly Detection in Videos
  2022 IEEE International Conference on Image Processing (ICIP) 2022 DOI: 10.1109/icip46576.2022.9897615
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• HMM-based Convolutional LSTM for Visual Scanpath Prediction
  2019 27th European Signal Processing Conference (EUSIPCO) 2019 DOI: 10.23919/eusipco.2019.8902643
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• Electrocardiogram denoising using Wavelet decomposition and EMD domain filtering
  2016 IEEE Region 10 Conference (TENCON) 2016 DOI: 10.1109/tencon.2016.7848414
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