Most of my graduate research concens applications of Machine Learning and Computer Vision to social sciences: deception detection, social traits prediction, human interaction analysis.

Publications

  • Judicial Support Tool: Finding the k Most Likely Judicial Worlds
    Maksim Bolonkin, Sayak Chakrabarty, Cristian Molinaro, and V. S. Subrahmanian
    16th International Conference on Scalable Uncertainty Management (SUM 2024)
    paper
    project page

  • POLLY: A Multimodal Cross-Cultural Context-Sensitive Framework to Predict Political Lying from Videos
    Chongyang Bai, Maksim Bolonkin, Viney Regunath, and V.S. Subrahmanian
    International Conference on Multimodal Interaction (ICMI ’22)
    paper
    project page

  • Exploiting Group Structures To Infer Social Interactions From Videos
    Maksim Bolonkin
    (2021) Dartmouth College Ph.D Dissertations
    pdf

  • DIPS: A Dyadic Impression Prediction System for Group Interaction Videos
    Chongyang Bai, Maksim Bolonkin, Viney Regunath, and V.S. Subrahmanian
    ACM Transactions on Multimedia Computing, Communications, and Applications, 2023
    paper

  • Attention-based facial behavior analytics in social communication
    Lezi Wang, Chongyang Bai, Maksim Bolonkin, Judee K. Burgoon, Norah E. Dunbar, VS Subrahmanian, Dimitris Metaxas
    chapter in Detecting Trust and Deception in Group Interaction, Springer 2021
    paper

  • Predicting dominance in multi-person videos
    Chongyang Bai, Maksim Bolonkin, Srijan Kumar, Jure Leskovec, Judee Burgoon, Norah Dunbar, and V. S.Subrahmanian
    IJCAI’19 The 28th International Joint Conference on Artificial Intelligence
    pdf
    project page

  • Automatic Long-Term Deception Detection in Group Interaction Videos
    Chongyang Bai, Maksim Bolonkin, Judee Burgoon, Chao Chen, Norah Dunbar, Bharat Singh, V. S. Subrahmanian, Zhe Wu
    ICME’19 The 2019 IEEE Conference on Multimedia Expo (main track and demo track)
    pdf
    project page

  • VideoMCC: a new Benchmark for Video Comprehension
    Du Tran, Maksim Bolonkin, Manohar Paluri, and Lorenzo Torresani
    on ArXiV
    pdf
    project page

  • Computer Vision in Digital Humanities
    Lauren Tilton, Taylor Arnold, Thomas Smits, Melvin Wevers, Mark Williams, Lorenzo Torresani, Maksimi Bolonkin, John Bell, and Dimitrios Latsis
    Panel at Digital Humanities 2018 Conference, June 2018, Mexico
    pdf
    demo

  • On virus recognition in regular texts
    Maksim Bolonkin
    Intelligent Systems, vol. 14 (in Russian), 2010
    pdf

Professional Services

  • Conference reviewer: ICME 2019, AAAI 2023, ICASSP 2023, AAAI 2024, AAAI 2025

  • Journal reviewer: IEEE Intelligent Systems [Publons]