Chetan Kumar

I am third-year doctoral candidate in Computer and Information Science at University of Massachusetts, Dartmouth, working under supervision of Dr.Ming Shao. I have completed my master’s in data science and bachelor’s in computer science. My research interests are in Machine Learning and Artificial Intelligence. Currently, I am working on semi-supervised graph based learning using deep learning.

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Conference Paper

  1. D. Kumar, C. Kumar and M. Shao, Collaborative knowledge distillation for incomplete multi-view action prediction in Image and Vision Computing, 2021 Paper
  2. D. Kumar, C. Kumar C. Seah, S. Xia and M. Shao, Finding Achilles' Heel: Adversarial Attack on Multi-modal Action Recognition in 2020 ACM International Conference on Multimedia, Seattle, WA, USA, 2020 Paper
  3. C. Kumar, R. Ryan and M. Shao, Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks in 2020 AAAI Conference on Artifical Intelligence, New York, USA, 2020 Paper PPT
  4. D. Kumar, C. Kumar and M. Shao, Cross-database mammographic image analysis through unsupervised domain adaptation in 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, USA, 2017 Paper PPT Code

Poster Presentation

  1. Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks in AAAI 2020 Conference, New York Poster
  2. Cross-view Action Recognition via Joint Dictionary and Transfer Learning in 2018 New England Computer Vision Workshop (NECV), Boston
  3. Cross-database Mammographic Image Analysis through Unsupervised Domain Adaptation in 2017 New England Computer Vision Workshop (NECV), Boston Poster