33 citations · 106 across the 7 of their papers we have counts for
7 papers
LaSO: Label-Set Operations networks for multi-label few-shot learning
Amit Alfassy, Leonid Karlinsky, Amit Aides +5
Example synthesis is one of the leading methods to tackle the problem of few-shot learning, where only a small number of samples per class are available. However, current synthesis…
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Yunhui Guo, Yandong Li, Rogerio Feris +2
There is a growing interest in designing models that can deal with images from different visual domains. If there exists a universal structure in different visual domains that can…
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai +3
Multi-task learning aims to improve generalization performance of multiple prediction tasks by appropriately sharing relevant information across them. In the context of deep neural…
S3Pool: Pooling with Stochastic Spatial Sampling
Shuangfei Zhai, Hui Wu, Abhishek Kumar +4
Feature pooling layers (e.g., max pooling) in convolutional neural networks (CNNs) serve the dual purpose of providing increasingly abstract representations as well as yielding com…
Generative Adversarial Networks as Variational Training of Energy Based Models
Shuangfei Zhai, Yu Cheng, Rogerio Feris +1
In this paper, we study deep generative models for effective unsupervised learning. We propose VGAN, which works by minimizing a variational lower bound of the negative log likelih…
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
Xi Peng, Rogerio S. Feris, Xiaoyu Wang +1
We propose a novel recurrent encoder-decoder network model for real-time video-based face alignment. Our proposed model predicts 2D facial point maps regularized by a regression lo…