11 citations · 12 across the 3 of their papers we have counts for
5 papers
Incremental Classifier Learning with Generative Adversarial Networks
Yue Wu, Yinpeng Chen, Lijuan Wang +5
In this paper, we address the incremental classifier learning problem, which suffers from catastrophic forgetting. The main reason for catastrophic forgetting is that the past data…
Adversarial Ranking for Language Generation
Kevin Lin, Dianqi Li, Xiaodong He +2
Generative adversarial networks (GANs) have great successes on synthesizing data. However, the existing GANs restrict the discriminator to be a binary classifier, and thus limit th…
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
Emad Barsoum, Cha Zhang, Cristian Canton Ferrer +1
Crowd sourcing has become a widely adopted scheme to collect ground truth labels. However, it is a well-known problem that these labels can be very noisy. In this paper, we demonst…
Group Event Detection with a Varying Number of Group Members for Video Surveillance
Weiyao Lin, Ming-Ting Sun, Radha Poovendran +1
This paper presents a novel approach for automatic recognition of group activities for video surveillance applications. We propose to use a group representative to handle the recog…
Activity Recognition Using A Combination of Category Components And Local Models for Video Surveillance
Weiyao Lin, Ming-Ting Sun, Radha Poovendran +1
This paper presents a novel approach for automatic recognition of human activities for video surveillance applications. We propose to represent an activity by a combination of cate…