no code implementations • 3 Oct 2023 • Sepidehsadat Hosseini, Mengyao Zhai, Hossein Hajimirsadegh, Frederick Tung
Machine learning traditionally assumes that the training and testing data are distributed independently and identically.
no code implementations • CVPR 2023 • Mohammadi Kiarash, Zhao He, Mengyao Zhai, Frederick Tung
In this paper, we present a novel approach to address the challenge of minimizing false positives for systems that need to operate at a high true positive rate.
no code implementations • CVPR 2021 • Mengyao Zhai, Lei Chen, Greg Mori
Deep neural networks are susceptible to catastrophic forgetting: when encountering a new task, they can only remember the new task and fail to preserve its ability to accomplish previously learned tasks.
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.
1 code implementation • 24 Apr 2021 • Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori
Hence, we develop an approach based on intermediate representations of poses and appearance: our pose-guided appearance rendering network firstly encodes the targets' poses using an encoder-decoder neural network.
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 • 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 • 5 Dec 2017 • Mengyao Zhai, Jiacheng Chen, Ruizhi Deng, Lei Chen, Ligeng Zhu, Greg Mori
An architecture combining a hierarchical temporal model for predicting human poses and encoder-decoder convolutional neural networks for rendering target appearances is proposed.
no code implementations • 9 Jul 2016 • Mengyao Zhai, Mehrsan Javan Roshtkhari, Greg Mori
This paper introduces a novel deep learning based approach for vision based single target tracking.
no code implementations • 12 Jun 2015 • Zhiwei Deng, Mengyao Zhai, Lei Chen, Yuhao Liu, Srikanth Muralidharan, Mehrsan Javan Roshtkhari, Greg Mori
This paper presents a deep neural-network-based hierarchical graphical model for individual and group activity recognition in surveillance scenes.