Sujoy Paul


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  • 1 paper at ICML '23
  • 1 paper at ICDAR '23
  • Work got featured at Google for India and major newspapers
  • 1 paper at ECCV '22
  • About

    I am currently a research scientist at Google Research, working on computer vision and machine learning. Prior to that I completed my PhD from UC Riverside, advised by Amit K Roy-Chowdhury. During my PhD I also spend three summers at NEC Labs, MERL and Microsoft Research.

    Research Interests

    My research interests lie in learning problems in computer vision and robotics using limited human supervision. In the long run, I am interested in developing algorithms which can be learned with low supervision, be generalizable, robust, just like humans, and help in our everyday life.

    Selected Publications

    Test-time adaptation with slot-centric models, ICML '23

    Mihir Prabhudesai, Sujoy Paul, Sjoerd van Steenkiste, Mehdi Sajjadi, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki, Gaurav Aggarwal, Thomas Kipf


    Weakly supervised information extraction from inscrutable handwritten document images, ICDAR '23

    Sujoy Paul, Gagan Madan, Akankshya Mishra, Narayan Hegde, Pradeep Kumar, Gaurav Aggarwal


    SITA: Single Image Test-time Adaptation, CVPR-W '23

    Ansh Khurana, Sujoy Paul, Piyush Rai, Soma Biswas, Gaurav Aggarwal


    Novel Class Discovery without Forgetting, ECCV '22

    KJ Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth Balasubramanian


    Unsupervised Adaptation of Semantic Segmentation Models without Source Data, ICML-W '22

    Sujoy Paul, Ansh Khurana, Gaurav Aggarwal


    Cross-domain Imitation from Observations, ICML '21 Oral

    Dripta Raychaudhuri*, Sujoy Paul*, Jeroen van Baar, Amit Roy-Chowdhury

    paper | page

    Unsupervised Multi-source Domain Adaptation Without Access to Source Data, CVPR '21 Oral

    Miraj Ahmed*, Dripta Raychaudhuri*, Sujoy Paul*, Samet Oymak, Amit Roy-Chowdhury

    paper | code

    Adversarial Knowledge Transfer from Unlabeled Data, ACM-MM '20

    Akash Gupta, Rameswar Panda, Sujoy Paul, Jianming Zhang, Amit Roy-Chowdhury

    paper | code | page

    Domain Adaptive Semantic Segmentation Using Weak Labels, ECCV '20

    Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit Roy-Chowdhury, Manmohan Chandraker

    paper | short video | long video | page

    Learning from Trajectories via Subgoal Discovery, NeurIPS '19

    Sujoy Paul, Jeroen van Baar, Amit Roy-Chowdhury

    paper | code

    Weakly Supervised Video Moment Retrieval From Text Queries, CVPR '19

    Niluthpol Mithun*, Sujoy Paul*, Amit Roy-Chowdhury

    paper | code

    Context-Aware Query Selection for Active Learning in Event Recognition, PAMI '18

    Mahmudul Hasan*, Sujoy Paul*, Anastasios I. Mourikis, Amit Roy-Chowdhury


    W-TALC: Weakly-supervised Temporal Activity Localization and Classification, ECCV '18

    Sujoy Paul, Sourya Roy, Amit Roy-Chowdhury

    paper | code

    Exploiting Transitivity for Learning Person Re-identification Models on a Budget, CVPR '18

    Sourya Roy, Sujoy Paul, Neal E. Young, Amit Roy-Chowdhury

    paper | code

    Non-Uniform Subset Selection for Active Learning in Structured Data, CVPR '17

    Sujoy Paul, Sourya Roy, Amit Roy-Chowdhury

    paper | code

    Online Adaptation for Joint Scene and Object Classification, ECCV '16

    Jawad H. Bappy, Sujoy Paul, Amit K. Roy-Chowdhury