Research Areas

Research Areas

  • PROVIDE: a probabilistic framework for unsupervised video decomposition

    P. Zablotskaia, E. A. Dominici, L. Sigal, and A. Lehrmann. UAI, 2021

    Publication

  • Generating Videos of Zero-Shot Compositions of Actions and Objects

    M. Nawhal, M. Zhai, A. Lehrmann, L. Sigal, and G. Mori. ECCV, 2020

    Publication

  • Learning Discriminative Prototypes with Dynamic Time Warping

    X. Chang, F. Tung, and G. Mori. CVPR, 2021

    Publication

  • Wavelet Flow: Fast Training of High Resolution Normalizing Flows

    J. Yu, K. Derpanis, and M. Brubaker. NeurIPS, 2020

    ; Generative Models

    Publication

  • Learning User Representations for Open Vocabulary Image Hashtag Prediction

    T. Durand. CVPR, 2020

    ; Learning And Generalization

    Publication

  • Adapting Grad-CAM for Embedding Networks

    L. Chen, J. Chen, H. Hajimirsadeghi, and G. Mori. WACV, 2020

    ; Responsible AI

    Publication

  • Object Grounding via Iterative Context Reasoning

    L. Chen, M. Zhai, J. He, and G. Mori. ICCV Workshop, 2019

    Publication

  • Noise Flow: Noise Modeling with Conditional Normalizing Flows

    A. Abdelhamed, M. Brubaker, and M. S. Brown. ICCV, 2019

    ; Generative Models

    Publication

  • LayoutVAE: Stochastic Scene Layout Generation from a Label Set

    A. Jyothi, T. Durand, J. He, L. Sigal, and G. Mori. ICCV, 2019

    ; Generative Models

    Publication

  • Similarity-Preserving Knowledge Distillation

    F. Tung, and G. Mori. ICCV, 2019

    ; Learning And Generalization

    Publication

  • On the Effectiveness of Low Frequency Perturbations

    Y. Sharma, G. W. Ding, and M. Brubaker. IJCAI, 2019

    ; Responsible AI

    Publication

  • Learning a Deep ConvNet for Multi-label Classification with Partial Labels

    T. Durand, N. Mehrasa, and G. Mori. CVPR, 2019

    Publication