1 code implementation • 23 Mar 2024 • Luchuan Song, Pinxin Liu, Guojun Yin, Chenliang Xu
In this work, we propose an adaptive high-quality talking-head video generation method, which synthesizes high-resolution video without additional pre-trained modules.
no code implementations • ICCV 2023 • Luchuan Song, Guojun Yin, Zhenchao Jin, Xiaoyi Dong, Chenliang Xu
Listener head generation centers on generating non-verbal behaviors (e. g., smile) of a listener in reference to the information delivered by a speaker.
no code implementations • 1 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.
2 code implementations • 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.
1 code implementation • ECCV 2020 • Yuanhan Zhang, Zhenfei Yin, Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu
The main reason is that current face anti-spoofing datasets are limited in both quantity and diversity.
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.
1 code implementation • NeurIPS 2019 • Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li
Semantic image synthesis aims at generating photorealistic images from semantic layouts.
no code implementations • 26 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.
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.
Ranked #3 on Dense Captioning on Visual Genome
no code implementations • CVPR 2019 • Guojun Yin, Bin Liu, Lu Sheng, Nenghai Yu, Xiaogang Wang, Jing Shao
Synthesizing photo-realistic images from text descriptions is a challenging problem.
no code implementations • 12 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.
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.
Ranked #3 on Person Re-Identification on CUHK03
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.