24 citations · 25 across the 5 of their papers we have counts for
5 papers
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
Firas Al-Hafez, Davide Tateo, Oleg Arenz +2
Recent methods for imitation learning directly learn a -function using an implicit reward formulation rather than an explicit reward function. However, these methods generally r…
STAR-GNN: Spatial-Temporal Video Representation for Content-based Retrieval
Guoping Zhao, Bingqing Zhang, Mingyu Zhang +3
We propose a video feature representation learning framework called STAR-GNN, which applies a pluggable graph neural network component on a multi-scale lattice feature graph. The e…
InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee
Yaxian Li, Bingqing Zhang, Guoping Zhao +4
After a survey for person-tracking system-induced privacy concerns, we propose a black-box adversarial attack method on state-of-the-art human detection models called InvisibiliTee…
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN
Guoping Zhao, Mingyu Zhang, Jiajun Liu +1
Studies show that Deep Neural Network (DNN)-based image classification models are vulnerable to maliciously constructed adversarial examples. However, little effort has been made t…
RUM: network Representation learning throUgh Multi-level structural information preservation
Yanlei Yu, Zhiwu Lu, Jiajun Liu +3
We have witnessed the discovery of many techniques for network representation learning in recent years, ranging from encoding the context in random walks to embedding the lower ord…