Dual-path rare content enhancement network for image and text matching
Y Wang, Y Su, W Li, J Xiao, X Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Image and text matching plays a crucial role in bridging the cross-modal gap between vision
and language, and has achieved great progress due to the deep learning. However, the …
and language, and has achieved great progress due to the deep learning. However, the …
Tri-modality consistency optimization with heterogeneous augmented images for visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) is a challenging technology due to the
large gap between daytime visible modality and night-time infrared modality. Previous …
large gap between daytime visible modality and night-time infrared modality. Previous …
Erasing, transforming, and noising defense network for occluded person re-identification
Occlusion perturbation presents a significant challenge in person re-identification (re-ID),
and existing methods that rely on external visual cues require additional computational …
and existing methods that rely on external visual cues require additional computational …
Autopedestrian: An automatic data augmentation and loss function search scheme for pedestrian detection
Pedestrian detection is a challenging and hot research topic in the field of computer vision,
especially for the crowded scenes where occlusion happens frequently. In this paper, we …
especially for the crowded scenes where occlusion happens frequently. In this paper, we …
Attribute-guided collaborative learning for partial person re-identification
Partial person re-identification (ReID) aims to solve the problem of image spatial
misalignment due to occlusions or out-of-views. Despite significant progress through the …
misalignment due to occlusions or out-of-views. Despite significant progress through the …
Adversarial attacks on black box video classifiers: Leveraging the power of geometric transformations
When compared to the image classification models, black-box adversarial attacks against
video classification models have been largely understudied. This could be possible …
video classification models have been largely understudied. This could be possible …
That person moves like a car: Misclassification attack detection for autonomous systems using spatiotemporal consistency
Autonomous systems commonly rely on object detection and tracking (ODT) to perceive the
environment and predict the trajectory of surrounding objects for planning purposes. An …
environment and predict the trajectory of surrounding objects for planning purposes. An …
Physical Adversarial Attacks for Surveillance: A Survey
Modern automated surveillance techniques are heavily reliant on deep learning methods.
Despite the superior performance, these learning systems are inherently vulnerable to …
Despite the superior performance, these learning systems are inherently vulnerable to …
Weakly supervised tracklet association learning with video labels for person re-identification
M Liu, Y Bian, Q Liu, X Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Supervised person re-identification (re-id) methods require expensive manual labeling
costs. Although unsupervised re-id methods can reduce the requirement of the labeled …
costs. Although unsupervised re-id methods can reduce the requirement of the labeled …
Event-guided person re-identification via sparse-dense complementary learning
Video-based person re-identification (Re-ID) is a prominent computer vision topic due to its
wide range of video surveillance applications. Most existing methods utilize spatial and …
wide range of video surveillance applications. Most existing methods utilize spatial and …