1 code implementation • 20 Oct 2022 • Megha Nawhal, Akash Abdu Jyothi, Greg Mori
Action anticipation involves predicting future actions having observed the initial portion of a video.
1 code implementation • 6 Jul 2020 • Xiang Xu, Megha Nawhal, Greg Mori, Manolis Savva
We present a mutual information-based framework for unsupervised image-to-image translation.
no code implementations • ICCV 2019 • Mengyao Zhai, Lei Chen, Fred Tung, JiaWei He, Megha Nawhal, Greg Mori
This makes it possible to perform image-conditioned generation tasks in a lifelong learning setting.
no code implementations • 7 Aug 2019 • Zhiwei Deng, Megha Nawhal, Lili Meng, Greg Mori
In this paper, we propose Continuous Graph Flow, a generative continuous flow based method that aims to model complex distributions of graph-structured data.
no code implementations • ECCV 2020 • Megha Nawhal, Mengyao Zhai, Andreas Lehrmann, Leonid Sigal, Greg Mori
Human activity videos involve rich, varied interactions between people and objects.
no code implementations • 21 Jan 2021 • Megha Nawhal, Greg Mori
Detecting and localizing action instances in untrimmed videos requires reasoning over multiple action instances in a video.
Ranked #3 on Temporal Action Localization on THUMOS’14 (mAP IOU@0.1 metric)
no code implementations • ECCV 2020 • Mengyao Zhai, Lei Chen, JiaWei He, Megha Nawhal, Frederick Tung, Greg Mori
In contrast, we propose a parameter efficient framework, Piggyback GAN, which learns the current task by building a set of convolutional and deconvolutional filters that are factorized into filters of the models trained on previous tasks.
no code implementations • 25 Sep 2019 • Yu Gong, Hossein Hajimirsadeghi, JiaWei He, Megha Nawhal, Thibaut Durand, Greg Mori
Learning from only partially-observed data for imputation has been an active research area.
no code implementations • pproximateinference AABI Symposium 2019 • Yu Gong, Hossein Hajimirsadeghi, JiaWei He, Megha Nawhal, Thibaut Durand, Greg Mori
Despite promising progress on unimodal data imputation (e. g. image inpainting), models for multimodal data imputation are far from satisfactory.