TIPCB: A simple but effective part-based convolutional baseline for text-based person search
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. The significant feature gap …
target person images according to a given textual description. The significant feature gap …
Relation-based global-partial feature learning network for video-based person re-identification
F Yang, X Wang, X Zhu, B Liang, W Li - Neurocomputing, 2022 - Elsevier
Video-based person re-identification (Re-ID) aims to match the same pedestrian from the
video sequences captured by non-overlap** cameras. It is the key to fully extracting …
video sequences captured by non-overlap** cameras. It is the key to fully extracting …
Frequency information disentanglement network for video-based person re-identification
Recently, most video-based person re-identification (Re-ID) methods adopt complex model
or multi-scaled information to explore more discriminative spatio-temporal clues, thus …
or multi-scaled information to explore more discriminative spatio-temporal clues, thus …
Where to look: Multi-granularity occlusion aware for video person re-identification
Video person re-identification (re-ID) plays an important role in intelligent video surveillance,
which can automatically match the same person across video clips under non-overlap** …
which can automatically match the same person across video clips under non-overlap** …
Infrared-visible cross-modal person re-identification via dual-attention collaborative learning
Y Li, Y Chen - Signal Processing: Image Communication, 2022 - Elsevier
Person re-identification is regarded as a retrieval task for searching the same person in
different cameras, within which infrared-visible cross-modal re-identification (VI-ReID) is …
different cameras, within which infrared-visible cross-modal re-identification (VI-ReID) is …
Spatial-temporal aware network for video-based person re-identification
J Wang, Q Zhao, D Jia, Z Huang, M Zhang… - Multimedia Tools and …, 2024 - Springer
Video-based pedestrian re-identification (ReID) is able to match the same pedestrian from
various cameras in a complex real-world scene. The extracted representations can't contain …
various cameras in a complex real-world scene. The extracted representations can't contain …
Graph attention mechanism with global contextual information for multi-label image recognition
Recent works have shown that multi-label image recognition is still a challenging task in
computer vision due to the complicatedness and diversity of multi-label images. However …
computer vision due to the complicatedness and diversity of multi-label images. However …
Person Reidentification using 3D inception based Spatio-temporal features learning, attribute recognition, and Reranking
Identifying pedestrians in video sequences captured by non-overlap** multi-cameras is
referred to as video-based Person Re-identification. The successive video frames in video …
referred to as video-based Person Re-identification. The successive video frames in video …
Channel decoupling network for cross-modality person re-identification
Cross-modality person re-identification (CM-ReID) is a very challenging problem due to the
discrepancy in data distributions between visible and near-infrared modalities. To obtain a …
discrepancy in data distributions between visible and near-infrared modalities. To obtain a …
Multi‐stage attention network for video‐based person re‐identification
F Yang, W Li, B Liang, S Han, X Zhu - IET Computer Vision, 2022 - Wiley Online Library
Video‐based person re‐identification (Re‐ID) has received increasing attention in video
surveillance analysis in recent years. To extract relevant information of the target, many …
surveillance analysis in recent years. To extract relevant information of the target, many …