Fooling thermal infrared pedestrian detectors in real world using small bulbs
Thermal infrared detection systems play an important role in many areas such as night
security, autonomous driving, and body temperature detection. They have the unique …
security, autonomous driving, and body temperature detection. They have the unique …
Speech separation using an asynchronous fully recurrent convolutional neural network
Recent advances in the design of neural network architectures, in particular those
specialized in modeling sequences, have provided significant improvements in speech …
specialized in modeling sequences, have provided significant improvements in speech …
Edge-aware graph representation learning and reasoning for face parsing
Face parsing infers a pixel-wise label to each facial component, which has drawn much
attention recently. Previous methods have shown their efficiency in face parsing, which …
attention recently. Previous methods have shown their efficiency in face parsing, which …
[HTML][HTML] Real-time echocardiography image analysis and quantification of cardiac indices
Deep learning has a huge potential to transform echocardiography in clinical practice and
point of care ultrasound testing by providing real-time analysis of cardiac structure and …
point of care ultrasound testing by providing real-time analysis of cardiac structure and …
An efficient latent style guided transformer-CNN framework for face super-resolution
H Qi, Y Qiu, X Luo, Z Jin - IEEE Transactions on Multimedia, 2023 - ieeexplore.ieee.org
In the Face Super-Resolution (FSR) task, it is important to precisely recover facial textures
while maintaining facial contours for realistic high resolution faces. Although several CNN …
while maintaining facial contours for realistic high resolution faces. Although several CNN …
Reconstruction with robustness: A semantic prior guided face super-resolution framework for multiple degradations
Despite the rapid advancements made with the support of deep learning, Face Super-
Resolution (FSR) methods still suffer from challenges under multiple degradations. These …
Resolution (FSR) methods still suffer from challenges under multiple degradations. These …
Agrnet: Adaptive graph representation learning and reasoning for face parsing
Face parsing infers a pixel-wise label to each facial component, which has drawn much
attention recently. Previous methods have shown their success in face parsing, which …
attention recently. Previous methods have shown their success in face parsing, which …
Image denoising and segmentation model construction based on IWOA-PCNN
X Zhang - Scientific Reports, 2023 - nature.com
The research suggests a method to improve the present pulse coupled neural network
(PCNN), which has a complex structure and unsatisfactory performance in image denoising …
(PCNN), which has a complex structure and unsatisfactory performance in image denoising …
Object part parsing with hierarchical dual transformer
Object part parsing involves segmenting objects into semantic parts, which has drawn great
attention recently. The current methods ignore the specific hierarchical structure of the …
attention recently. The current methods ignore the specific hierarchical structure of the …
[HTML][HTML] Detailed feature extraction network-based fine-grained face segmentation
S Umirzakova, TK Whangbo - Knowledge-Based Systems, 2022 - Elsevier
Face parsing refers to the labeling of each facial component in a face image and has been
employed in facial stimulation, expression recognition, and makeup use, effectively …
employed in facial stimulation, expression recognition, and makeup use, effectively …