Multi-granularity anchor-contrastive representation learning for semi-supervised skeleton-based action recognition
In the semi-supervised skeleton-based action recognition task, obtaining more
discriminative information from both labeled and unlabeled data is a challenging problem …
discriminative information from both labeled and unlabeled data is a challenging problem …
Expansion-squeeze-excitation fusion network for elderly activity recognition
This work focuses on the task of elderly activity recognition, which is a challenging task due
to the existence of individual actions and human-object interactions in elderly activities …
to the existence of individual actions and human-object interactions in elderly activities …
Progressively generating better initial guesses towards next stages for high-quality human motion prediction
This paper presents a high-quality human motion prediction method that accurately predicts
future human poses given observed ones. Our method is based on the observation that a …
future human poses given observed ones. Our method is based on the observation that a …
Camouflaged object detection via context-aware cross-level fusion
Camouflaged object detection (COD) aims to identify the objects that conceal themselves in
natural scenes. Accurate COD suffers from a number of challenges associated with low …
natural scenes. Accurate COD suffers from a number of challenges associated with low …
AAP-MIT: Attentive Atrous Pyramid Network and Memory Incorporated Transformer for Multisentence Video Description
J Prudviraj, MI Reddy, C Vishnu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Generating multi-sentence descriptions for video is considered to be the most complex task
in computer vision and natural language understanding due to the intricate nature of video …
in computer vision and natural language understanding due to the intricate nature of video …
DATFuse: Infrared and visible image fusion via dual attention transformer
The fusion of infrared and visible images aims to generate a composite image that can
simultaneously contain the thermal radiation information of an infrared image and the …
simultaneously contain the thermal radiation information of an infrared image and the …
X-invariant contrastive augmentation and representation learning for semi-supervised skeleton-based action recognition
Semi-supervised skeleton-based action recognition is a challenging problem due to
insufficient labeled data. For addressing this problem, some representative methods …
insufficient labeled data. For addressing this problem, some representative methods …
On the use of deep learning for video classification
The video classification task has gained significant success in the recent years. Specifically,
the topic has gained more attention after the emergence of deep learning models as a …
the topic has gained more attention after the emergence of deep learning models as a …
Spatiotemporal decouple-and-squeeze contrastive learning for semisupervised skeleton-based action recognition
Contrastive learning has been successfully leveraged to learn action representations for
addressing the problem of semisupervised skeleton-based action recognition. However …
addressing the problem of semisupervised skeleton-based action recognition. However …
Transition is a process: Pair-to-video change detection networks for very high resolution remote sensing images
As an important yet challenging task in Earth observation, change detection (CD) is
undergoing a technological revolution, given the broadening application of deep learning …
undergoing a technological revolution, given the broadening application of deep learning …