Search Results for author: Guoqing Zhang

Found 7 papers, 3 papers with code

Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification

no code implementations26 May 2021 Guoqing Zhang, Yuhao Chen, Weisi Lin, Arun Chandran, Xuan Jing

As a prevailing task in video surveillance and forensics field, person re-identification (re-ID) aims to match person images captured from non-overlapped cameras.

Person Re-Identification Super-Resolution

TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Search

1 code implementation25 May 2021 Yuhao Chen, Guoqing Zhang, Yujiang Lu, zhenxing Wang, yuhui Zheng, Ruili Wang

Text-based person search is a sub-task in the field of image retrieval, which aims to retrieve target person images according to a given textual description.

Image Retrieval Person Search +1

Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identification

1 code implementation25 May 2021 Guoqing Zhang, Yu Ge, Zhicheng Dong, Hao Wang, yuhui Zheng, ShengYong Chen

Compared with the state-of-the-art methods, our proposed PS-HRNet improves 3. 4\%, 6. 2\%, 2. 5\%, 1. 1\% and 4. 2\% at Rank-1 on MLR-Market-1501, MLR-CUHK03, MLR-VIPeR, MLR-DukeMTMC-reID, and CAVIAR datasets, respectively.

Person Re-Identification Representation Learning

Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-Identification

no code implementations21 Mar 2021 Guoqing Zhang, Yuhao Chen, Yang Dai, yuhui Zheng, Yi Wu

Due to the inaccurate person detections and pose changes, pedestrian misalignment significantly increases the difficulty of feature extraction and matching.

Video-Based Person Re-Identification

Cascade Convolutional Neural Network for Image Super-Resolution

no code implementations24 Aug 2020 Jianwei Zhang, zhenxing Wang, yuhui Zheng, Guoqing Zhang

With the development of the super-resolution convolutional neural network (SRCNN), deep learning technique has been widely applied in the field of image super-resolution.

Image Super-Resolution

StaticGreedy: solving the scalability-accuracy dilemma in influence maximization

no code implementations19 Dec 2012 Suqi Cheng, Hua-Wei Shen, Junming Huang, Guoqing Zhang, Xue-Qi Cheng

We point out that the essential reason of the dilemma is the surprising fact that the submodularity, a key requirement of the objective function for a greedy algorithm to approximate the optimum, is not guaranteed in all conventional greedy algorithms in the literature of influence maximization.

Social and Information Networks Data Structures and Algorithms Physics and Society F.2.2; D.2.8

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