Search Results for author: Guoping Zhao

Found 7 papers, 3 papers with code

Time-Efficient Reinforcement Learning with Stochastic Stateful Policies

no code implementations7 Nov 2023 Firas Al-Hafez, Guoping Zhao, Jan Peters, Davide Tateo

Stateful policies play an important role in reinforcement learning, such as handling partially observable environments, enhancing robustness, or imposing an inductive bias directly into the policy structure.

Continuous Control Imitation Learning +2

LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning

1 code implementation1 Mar 2023 Firas Al-Hafez, Davide Tateo, Oleg Arenz, Guoping Zhao, Jan Peters

Recent methods for imitation learning directly learn a $Q$-function using an implicit reward formulation rather than an explicit reward function.

Continuous Control Imitation Learning +4

STAR-GNN: Spatial-Temporal Video Representation for Content-based Retrieval

no code implementations15 Aug 2022 Guoping Zhao, Bingqing Zhang, Mingyu Zhang, Yaxian Li, Jiajun Liu, Ji-Rong Wen

It models a video with a lattice feature graph in which the nodes represent regions of different granularity, with weighted edges that represent the spatial and temporal links.

Representation Learning Retrieval +1

InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee

1 code implementation15 Aug 2022 Yaxian Li, Bingqing Zhang, Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ziwei Wang, JiRong Wen

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.

Adversarial Attack Human Detection

Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN

no code implementations12 Jul 2019 Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ji-Rong Wen

Such tendency indicates that the model indeed learned how to toy with both image retrieval systems and human eyes.

Image Classification Image Retrieval +1

RUM: network Representation learning throUgh Multi-level structural information preservation

no code implementations8 Oct 2017 Yanlei Yu, Zhiwu Lu, Jiajun Liu, Guoping Zhao, Ji-Rong Wen, Kai Zheng

We propose a novel network representations learning model framework called RUM (network Representation learning throUgh Multi-level structural information preservation).

Representation Learning

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