A comprehensive review of object detection with deep learning
R Kaur, S Singh - Digital Signal Processing, 2023 - Elsevier
In the realm of computer vision, Deep Convolutional Neural Networks (DCNNs) have
demonstrated excellent performance. Video Processing, Object Detection, Image …
demonstrated excellent performance. Video Processing, Object Detection, Image …
Approximate arithmetic circuits: A survey, characterization, and recent applications
Approximate computing has emerged as a new paradigm for high-performance and energy-
efficient design of circuits and systems. For the many approximate arithmetic circuits …
efficient design of circuits and systems. For the many approximate arithmetic circuits …
Alphapose: Whole-body regional multi-person pose estimation and tracking in real-time
Accurate whole-body multi-person pose estimation and tracking is an important yet
challenging topic in computer vision. To capture the subtle actions of humans for complex …
challenging topic in computer vision. To capture the subtle actions of humans for complex …
Vitpose: Simple vision transformer baselines for human pose estimation
Although no specific domain knowledge is considered in the design, plain vision
transformers have shown excellent performance in visual recognition tasks. However, little …
transformers have shown excellent performance in visual recognition tasks. However, little …
Learning an animatable detailed 3D face model from in-the-wild images
While current monocular 3D face reconstruction methods can recover fine geometric details,
they suffer several limitations. Some methods produce faces that cannot be realistically …
they suffer several limitations. Some methods produce faces that cannot be realistically …
Towards fast, accurate and stable 3d dense face alignment
Existing methods of 3D dthus limiting the scope of their practical applications. In this paper,
we propose a novel regression framework which makes a balance among speed, accuracy …
we propose a novel regression framework which makes a balance among speed, accuracy …
ARHPE: Asymmetric relation-aware representation learning for head pose estimation in industrial human–computer interaction
Head pose estimation (HPE) has wide industrial applications, such as online education,
human–robot interaction, and automatic manufacturing. In this article, we address two key …
human–robot interaction, and automatic manufacturing. In this article, we address two key …
Deep high-resolution representation learning for visual recognition
High-resolution representations are essential for position-sensitive vision problems, such as
human pose estimation, semantic segmentation, and object detection. Existing state-of-the …
human pose estimation, semantic segmentation, and object detection. Existing state-of-the …
Retinaface: Single-shot multi-level face localisation in the wild
Though tremendous strides have been made in uncontrolled face detection, accurate and
efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open …
efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open …
High-resolution representations for labeling pixels and regions
High-resolution representation learning plays an essential role in many vision problems, eg,
pose estimation and semantic segmentation. The high-resolution network (HRNet)~\cite …
pose estimation and semantic segmentation. The high-resolution network (HRNet)~\cite …