Search Results for author: Haichao Shi

Found 8 papers, 1 papers with code

Learning Cross-modality Information Bottleneck Representation for Heterogeneous Person Re-Identification

no code implementations29 Aug 2023 Haichao Shi, Mandi Luo, Xiao-Yu Zhang, Ran He

Visible-Infrared person re-identification (VI-ReID) is an important and challenging task in intelligent video surveillance.

Person Re-Identification

Rumor Detection with Diverse Counterfactual Evidence

1 code implementation18 Jul 2023 Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiao-Yu Zhang

Our intuition is to exploit the diverse counterfactual evidence of an event graph to serve as multi-view interpretations, which are further aggregated for robust rumor detection results.

counterfactual Point Processes

Action Shuffling for Weakly Supervised Temporal Localization

no code implementations10 May 2021 Xiao-Yu Zhang, Haichao Shi, Changsheng Li, Xinchu Shi

Weakly supervised action localization is a challenging task with extensive applications, which aims to identify actions and the corresponding temporal intervals with only video-level annotations available.

Action Localization Temporal Localization +1

Image Captioning based on Deep Reinforcement Learning

no code implementations13 Sep 2018 Haichao Shi, Peng Li, Bo wang, Zhenyu Wang

However, in this paper, we propose a novel architecture for image captioning with deep reinforcement learning to optimize image captioning tasks.

Image Captioning Policy Gradient Methods +2

Synchronized Detection and Recovery of Steganographic Messages with Adversarial Learning

no code implementations31 Jan 2018 Haichao Shi, Xiao-Yu Zhang

To handle the problem of embedding secret messages into the specific medium, we design a novel adversarial modules to learn the steganographic algorithm, and simultaneously train three modules called generator, discriminator and steganalyzer.

SSGAN: Secure Steganography Based on Generative Adversarial Networks

no code implementations6 Jul 2017 Haichao Shi, Jing Dong, Wei Wang, Yinlong Qian, Xiao-Yu Zhang

Furthermore, a sophisticated steganalysis network is reconstructed for the discriminative network, and the network can better evaluate the performance of the generated images.

Steganalysis

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