Search Results for author: Guojun Yin

Found 11 papers, 5 papers with code

Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification

no code implementations1 Aug 2022 Xulin Li, Yan Lu, Bin Liu, Yating Liu, Guojun Yin, Qi Chu, Jinyang Huang, Feng Zhu, Rui Zhao, Nenghai Yu

But we find existing graph-based methods in the visible-infrared person re-identification task (VI-ReID) suffer from bad generalization because of two issues: 1) train-test modality balance gap, which is a property of VI-ReID task.

Person Re-Identification

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

1 code implementation CVPR 2021 Yinan He, Bei Gan, Siyu Chen, Yichun Zhou, Guojun Yin, Luchuan Song, Lu Sheng, Jing Shao, Ziwei Liu

To counter this emerging threat, we construct the ForgeryNet dataset, an extremely large face forgery dataset with unified annotations in image- and video-level data across four tasks: 1) Image Forgery Classification, including two-way (real / fake), three-way (real / fake with identity-replaced forgery approaches / fake with identity-remained forgery approaches), and n-way (real and 15 respective forgery approaches) classification.

Classification General Classification +1

Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

2 code implementations ECCV 2020 Yuyang Qian, Guojun Yin, Lu Sheng, Zixuan Chen, Jing Shao

As realistic facial manipulation technologies have achieved remarkable progress, social concerns about potential malicious abuse of these technologies bring out an emerging research topic of face forgery detection.

A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis

no code implementations26 Apr 2019 Guojun Yin, Bin Liu, Huihui Zhu, Tao Gong, Nenghai Yu

Multiple-object tracking and behavior analysis have been the essential parts of surveillance video analysis for public security and urban management.

Management Multiple Object Tracking

Context and Attribute Grounded Dense Captioning

no code implementations CVPR 2019 Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao

Dense captioning aims at simultaneously localizing semantic regions and describing these regions-of-interest (ROIs) with short phrases or sentences in natural language.

Dense Captioning

Real-Time Anomaly Detection With HMOF Feature

no code implementations12 Dec 2018 Huihui Zhu, Bin Liu, Guojun Yin, Yan Lu, Weihai Li, Nenghai Yu

Most existing methods are computation consuming, which cannot satisfy the real-time requirement.

Anomaly Detection Optical Flow Estimation

FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification

2 code implementations NeurIPS 2018 Yixiao Ge, Zhuowan Li, Haiyu Zhao, Guojun Yin, Shuai Yi, Xiaogang Wang, Hongsheng Li

Our proposed FD-GAN achieves state-of-the-art performance on three person reID datasets, which demonstrates that the effectiveness and robust feature distilling capability of the proposed FD-GAN.

Person Re-Identification

Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition

no code implementations ECCV 2018 Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao, Chen Change Loy

We show that by encouraging deep message propagation and interactions between local object features and global predicate features, one can achieve compelling performance in recognizing complex relationships without using any linguistic priors.

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