• Geometer's Sketchpad

  • Referenced in 228 articles [sw04858]
  • through college—a tangible, visual way to learn mathematics that increases their engagement, understanding ... dynamic models of fractions, number lines, and geometric patterns. Middle school students can build their ... transform geometric shapes and functions—from linear to trigonometric—promoting deep understanding. Sketchpad...
  • PointNet

  • Referenced in 46 articles [sw31209]
  • PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. Point cloud ... important type of geometric data structure. Due to its irregular format, most researchers transform such...
  • PyG

  • Referenced in 4 articles [sw41050]
  • PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural ... consists of various methods for deep learning on graphs ... other irregular structures, also known as geometric deep learning, from a variety of published papers...
  • PyTorch Geometric

  • Referenced in 1 article [sw39158]
  • PyTorch Geometric (PyG) is a geometric deep learning extension library for PyTorch. It consists ... other irregular structures, also known as geometric deep learning, from a variety of published papers...
  • gvnn

  • Referenced in 1 article [sw31211]
  • between classic geometric computer vision and deep learning. Inspired by the recent success of Spatial ... parametric transformations on the data in geometric computer vision. These layers can be inserted within...
  • TopologyNet

  • Referenced in 8 articles [sw41013]
  • networks for biomolecular property predictions. Although deep learning approaches have had tremendous success in image ... sets have been hindered by the entangled geometric complexity and biological complexity. We introduce topology ... element specific persistent homology (ESPH), to untangle geometric complexity and biological complexity. ESPH represents ... mutation. To overcome the limitations to deep learning arising from small and noisy training sets...
  • DeepReID

  • Referenced in 2 articles [sw30750]
  • DeepReID: Deep Filter Pairing Neural Network for Person Re-identification. Person re-identification ... FPNN) to jointly handle misalignment, photometric and geometric transforms, occlusions and background clutter ... that use handcrafted features, our method automatically learns features optimal for the re-identification task ... from data. The learned filter pairs encode photometric transforms. Its deep architecture makes it possible...
  • VoxSegNet

  • Referenced in 1 article [sw36661]
  • represent geometric data, which has been widely used for 3D deep learning in shape analysis...
  • DeepV2D

  • Referenced in 1 article [sw42651]
  • propose DeepV2D, an end-to-end deep learning architecture for predicting depth from video. DeepV2D ... representation ability of neural networks with the geometric principles governing image formation. We compose...
  • SphereFace

  • Referenced in 4 articles [sw39108]
  • Embedding for Face Recognition. This paper addresses deep face recognition (FR) problem under open ... convolutional neural networks (CNNs) to learn angularly discriminative features. Geometrically, A-Softmax loss...
  • CLEVR Parser

  • Referenced in 1 article [sw35072]
  • modalities. Structural order-invariant representations enable geometric learning and can aid in downstream tasks like ... that can be tailored to suit specific learning setups. We also provide ... functionality for seamless integration with popular deep graph neural network (GNN) libraries. Additionally, we discuss...
  • MonoCap

  • Referenced in 3 articles [sw42755]
  • Capture using a CNN Coupled with a Geometric Prior. Recovering 3D full-body human pose ... from 2D appearance to 3D geometry. Deep learning approaches have shown remarkable abilities to discriminatively...
  • ArcFace

  • Referenced in 5 articles [sw33958]
  • main challenges in feature learning using Deep Convolutional Neural Networks (DCNNs) for large-scale face ... Centre loss penalises the distance between the deep features and their corresponding class centres ... space and penalises the angles between the deep features and their corresponding weights ... recognition. The proposed ArcFace has a clear geometric interpretation due to the exact correspondence...
  • EPC

  • Referenced in 1 article [sw42657]
  • Geometry and Motion with 3D Holistic Understanding. Learning to estimate 3D geometry in a single ... consecutive frames by watching unlabeled videos via deep convolutional network has made significant progress recently ... assumption and enforces the inherent geometrical consistency during the learning process, yielding significantly improved results...
  • GanHand

  • Referenced in 1 article [sw42716]
  • Multi-Object Scenes. The rise of deep learning has brought remarkable progress in estimating hand ... semantic content of the image, its geometric structure and all potential interactions with a hand...
  • InteriorNet

  • Referenced in 1 article [sw36667]
  • community, from training and evaluation of Deep Learning-based methods to benchmarking Simultaneous Localization ... object assets -- all coming with fine geometric details and high-resolution texture. We render high...
  • Pose2Mesh

  • Referenced in 1 article [sw42752]
  • Human Pose. Most of the recent deep learning-based 3D human pose and mesh estimation ... articulation information, while having a relatively homogeneous geometric property between the two domains. Also...
  • ANSYS

  • Referenced in 713 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ATLAS

  • Referenced in 199 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...
  • BARON

  • Referenced in 361 articles [sw00066]
  • BARON is a computational system for solving nonconvex...