Search Results for author: AnCong Wu

Found 10 papers, 3 papers with code

Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval

no code implementations27 Sep 2022 Chengzhi Lin, AnCong Wu, Junwei Liang, Jun Zhang, Wenhang Ge, Wei-Shi Zheng, Chunhua Shen

To address this problem, we propose a Text-Adaptive Multiple Visual Prototype Matching model, which automatically captures multiple prototypes to describe a video by adaptive aggregation of video token features.

Cross-Modal Retrieval Retrieval +2

Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification

1 code implementation CVPR 2022 Chao Wu, Wenhang Ge, AnCong Wu, Xiaobin Chang

To learn camera-view invariant features for person Re-IDentification (Re-ID), the cross-camera image pairs of each person play an important role.

Person Re-Identification

Letter-level Online Writer Identification

no code implementations6 Dec 2021 Zelin Chen, Hong-Xing Yu, AnCong Wu, Wei-Shi Zheng

To make the application of writer-id more practical (e. g., on mobile devices), we focus on a novel problem, letter-level online writer-id, which requires only a few trajectories of written letters as identification cues.

Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes

1 code implementation29 Jul 2021 Wenhang Ge, Chunyan Pan, AnCong Wu, Hongwei Zheng, Wei-Shi Zheng

To learn camera-invariant representation from cross-camera unpaired training data, we propose a cross-camera feature prediction method to mine cross-camera self supervision information from camera-specific feature distribution by transforming fake cross-camera positive feature pairs and minimize the distances of the fake pairs.

Person Re-Identification

One for More: Selecting Generalizable Samples for Generalizable ReID Model

1 code implementation10 Dec 2020 Enwei Zhang, Xinyang Jiang, Hao Cheng, AnCong Wu, Fufu Yu, Ke Li, Xiaowei Guo, Feng Zheng, Wei-Shi Zheng, Xing Sun

Current training objectives of existing person Re-IDentification (ReID) models only ensure that the loss of the model decreases on selected training batch, with no regards to the performance on samples outside the batch.

Person Re-Identification

Unsupervised Person Re-Identification by Camera-Aware Similarity Consistency Learning

no code implementations ICCV 2019 Ancong Wu, Wei-Shi Zheng, Jian-Huang Lai

To alleviate the effect of cross-camera scene variation, we propose a Camera-Aware Similarity Consistency Loss to learn consistent pairwise similarity distributions for intra-camera matching and cross-camera matching.

Unsupervised Person Re-Identification

Distilled Person Re-Identification: Towards a More Scalable System

no code implementations CVPR 2019 Ancong Wu, Wei-Shi Zheng, Xiaowei Guo, Jian-Huang Lai

To solve these problems in a unified system, we propose a Multi-teacher Adaptive Similarity Distillation Framework, which requires only a few labelled identities of target domain to transfer knowledge from multiple teacher models to a user-specified lightweight student model without accessing source domain data.

Person Re-Identification

RGB-Infrared Cross-Modality Person Re-Identification

no code implementations ICCV 2017 Ancong Wu, Wei-Shi Zheng, Hong-Xing Yu, Shaogang Gong, Jian-Huang Lai

To that end, matching RGB images with infrared images is required, which are heterogeneous with very different visual characteristics.

Ranked #3 on Cross-Modal Person Re-Identification on SYSU-MM01 (mAP (All-search & Single-shot) metric)

Cross-Modality Person Re-identification Cross-Modal Person Re-Identification

Robust Depth-based Person Re-identification

no code implementations28 Mar 2017 Ancong Wu, Wei-Shi Zheng, Jian-Huang Lai

More specifically, we exploit depth voxel covariance descriptor and further propose a locally rotation invariant depth shape descriptor called Eigen-depth feature to describe pedestrian body shape.

Person Re-Identification

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