Gates Hall 345
Cornell University
dww78-at cornell-dot edu

I'm a Ph.D. Candidate in the Cornell University Computer Science Department (Ithaca campus). My research interest is in Machine Learning and Computer Vision, with a focus on few-shot visual understanding. Since high-quality training data for a given task may not always be readily available, I believe it is important to understand how neural models generalize and adapt to new domains from partially relevant data or indirect supervision.

Bharath Hariharan is my advisor.

My resume can be found here.


  • Few-Shot Learning in Long-Tailed Settings
    Davis Wertheimer, Luming Tang, Dhruv Baijal*, Pranjal Mittal*, Anika Talwar*, and Bharath Hariharan (* equal contribution)
    An updated journal version of my CVPR'19 paper, currently under review
    pdf     code    
  • Few-Shot Classification with Feature Map Reconstruction Networks
    Davis Wertheimer*, Luming Tang* and Bharath Hariharan (* equal contribution)
    CVPR 2021
    arxiv     pdf     supp     code     video    
  • Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation
    Davis Wertheimer, Omid Poursaeed and Bharath Hariharan
    arxiv     pdf     supp    
  • Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
    Luming Tang, Davis Wertheimer and Bharath Hariharan
    CVPR 2020
    arxiv     pdf     supp     code     video    
  • Few-Shot Learning with Localization in Realistic Settings
    Davis Wertheimer and Bharath Hariharan
    CVPR 2019, oral
    arxiv     pdf     supp     code     video    


  • Ph.D. candidate: Cornell University, Computer Science (current)
  • Undergrad: Stanford University, major in Symbolic Systems / minor in Mathematics


  • NeurIPS Outstanding Reviewer (2021)
  • ICCV Outstanding Reviewer (2021)
  • ICML Best Reviewer (2021)
  • CVPR Outstanding Reviewer (2021)
  • Anonymous peer reviewer for TPAMI (2021)
  • Anonymous peer reviewer for IJCV and TPAMI (2020)
  • TA for CS4780: Machine Learning for Intelligent Systems (2017)
  • TA for CS4786: Machine Learning for Data Scientists (2016)
  • Stanford graduate with distinction (3.9 GPA) (2016)
  • Member, Phi Beta Kappa (2016)
  • Intel Science Talent Search national semifinalist (2012)
  • Scholastic Art and Writing national gold key (2011)

Non-academic interests include fractal art, 3d printing jewelry, cooking, origami, and creating and making original ice cream and bread recipes. I also enjoy live art and music.


"Begin at the beginning, and go on till you
come to the end: then stop."

-Lewis Carroll