Occluded person re-identification with deep learning: a survey and perspectives
Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent
surveillance systems. Widespread occlusion significantly impacts the performance of person …
surveillance systems. Widespread occlusion significantly impacts the performance of person …
Recent advances of monocular 2d and 3d human pose estimation: A deep learning perspective
Estimation of the human pose from a monocular camera has been an emerging research
topic in the computer vision community with many applications. Recently, benefiting from the …
topic in the computer vision community with many applications. Recently, benefiting from the …
Diverse part discovery: Occluded person re-identification with part-aware transformer
Occluded person re-identification (Re-ID) is a challenging task as persons are frequently
occluded by various obstacles or other persons, especially in the crowd scenario. To …
occluded by various obstacles or other persons, especially in the crowd scenario. To …
Body part-based representation learning for occluded person re-identification
Occluded person re-identification (ReID) is a person retrieval task which aims at matching
occluded person images with holistic ones. For addressing occluded ReID, part-based …
occluded person images with holistic ones. For addressing occluded ReID, part-based …
Structure-aware positional transformer for visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) is a cross-modality retrieval problem,
which aims at matching the same pedestrian between the visible and infrared cameras. Due …
which aims at matching the same pedestrian between the visible and infrared cameras. Due …
Feature erasing and diffusion network for occluded person re-identification
Occluded person re-identification (ReID) aims at matching occluded person images to
holistic ones across different camera views. Target Pedestrians (TP) are often disturbed by …
holistic ones across different camera views. Target Pedestrians (TP) are often disturbed by …
Pose-guided feature disentangling for occluded person re-identification based on transformer
Occluded person re-identification is a challenging task as human body parts could be
occluded by some obstacles (eg trees, cars, and pedestrians) in certain scenes. Some …
occluded by some obstacles (eg trees, cars, and pedestrians) in certain scenes. Some …
Learning disentangled representation implicitly via transformer for occluded person re-identification
Person re-IDentification (re-ID) under various occlusions has been a long-standing
challenge as person images with different types of occlusions often suffer from misalignment …
challenge as person images with different types of occlusions often suffer from misalignment …
Occlude them all: Occlusion-aware attention network for occluded person re-id
Abstract Person Re-Identification (ReID) has achieved remarkable performance along with
the deep learning era. However, most approaches carry out ReID only based upon holistic …
the deep learning era. However, most approaches carry out ReID only based upon holistic …
Towards a unified middle modality learning for visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) aims to search identities of pedestrians
across different spectra. In this task, one of the major challenges is the modality discrepancy …
across different spectra. In this task, one of the major challenges is the modality discrepancy …