Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:42:51.317022Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 100 of 102 outbound references and 0 inbound Pith citation observations for arXiv:2412.12887.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-08-11T13:42:51.317022Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
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Source: cited_works
100 of 102 outbound references displayed
External citation measurements
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Observation f61d1729-1092-4fe9-9d95-ba6fd52f5e1e · outbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Imagenet classification with deep convolutional neural networks
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Semi-Supervised Classification with Graph Convolutional Networks
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Transductive kernel map learning and its application to image annotation
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Adaptive graph convolutional neural networks
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Directedacyclicgraphkernelsforactionrecognition
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition A new model for learning in graph domains
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Robust face recognition using dynamic space warping
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Understanding attention and generalization in graph neural networks
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Improved knowledge distillation via teacher assistant
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition learning-compression
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Relevance feedback for satellite image change detection
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Morphnet: Fast & simple resource-constrained structure learning of deep networks
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Sparse artificial neural networks using a novel smoothed lasso penalization
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Entropy-constrained training of deep neural networks
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Observation 39f58eb9-92a4-4334-9929-33ec4fdea0e0 · outbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Sahbi, J-Y
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Learning structured sparsity in deep neural networks
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Observation 9fe23660-acee-40bd-bdce-c7a7eab18373 · outbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Constrained optical flow for aerial image change detection
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Learning Sparse Neural Networks through $L_0$ Regularization
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Searching for mobilenetv3
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Wang and H
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Convolutional two-stream network fusion for video action recognition
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Transition forests: Learning discriminative temporal transitions for action recognition and detection
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Bourdis, D
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition First-person hand action benchmark with rgb-d videos and 3d hand pose annotations
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Mazari and H
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Mazari and H
Reference 29
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Observation c2aa7e4b-dcd6-4b4e-8708-6072f64b185f · outbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Reference 30
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Observation 7480b635-f341-48ff-ba90-701244bf1c72 · outbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Learning both weights and connections for efficient neural network
Reference 31
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Observation 06efe44b-f168-48cd-9620-f4a9e17a4238 · outbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Nonlinear cross-view sample enrichment for action recognition
Reference 32
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Observation 0f59b860-a72e-4f54-bb5e-9a404b9e3855 · outbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Optimal brain damage.Advances in NIPS, 2, 1989
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Observation c6b88aaa-2155-4bf7-abb1-ca37a8c8dde6 · outbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Second order derivatives for network pruning: Optimal brain surgeon.Advances in NIPS, 5, 1992
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Coarse-to-fine deep kernel networks
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Jointly learning heterogeneous features for rgb-d activity recognition
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Observation 4af4b3c1-73cf-4a85-93a5-26470cef6070 · outbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Spatio-temporal graph convolution for skeleton based action recognition
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Observation 934ffa02-e00b-4b9c-8b8a-63cfcd81809e · outbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Global co-occurrence feature learning and active coordinate system conversion for skeleton-based action recognition
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Laplacian deep kernel learning for image annotation
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Graph cnns with motif and variable temporal block for skeleton-based action recognition
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Topologically-consistentmagnitudepruningforverylightweightgraphconvolutionalnetworks
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Spatial temporal graph convolutional networks for skeleton-based action recognition
Reference 42
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition A riemannian network for spd matrix learning
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Observation 35a6c0eb-2f18-4cf7-84e0-effdfe14395d · outbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Sahbi and F
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Jiu and H
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition A novel geometric framework on gram matrix trajectories for human behavior understanding.IEEE TPAMI, 42(1):1–14, 2018
Reference 46
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Camera pose estimation using visual servoing for aerial video change detection
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Building deep networks on grassmann manifolds
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Decoupled representation learning for skeleton-based gesture recognition
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Adam: A Method for Stochastic Optimization
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Structured pruning of neural networks with budget-aware regularization
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Bags-of-daglets for action recognition
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Hierarchical recurrent neural network for skeleton based action recognition
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Spatio-temporal lstm with trust gates for 3d human action recognition
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Interactive satellite image change detection with context-aware canonical correlation analysis
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Observation 6144d93f-8b78-487c-b439-a4e05b7af913 · outbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Skeleton-based human action recognition with global context-aware attention lstm networks.IEEE Transactions on Image Processing, 27(4):1586–1599, 2017
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition View adaptive recurrent neural networks for high performance human action recognition from skeleton data
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Co-occurrence feature learning for skeleton based action recognition using regularized deep lstm networks
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Deepgru: Deep gesture recognition utility
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Rgb-d-based human motion recognition with deep learning: A survey.CVIU, 2018
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Linear-time online action detection from 3d skeletal data using bags of gesturelets
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work
Reference 69
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Applying interest operators in semi-fragile video watermarking
Reference 70
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition DropNeuron: Simplifying the Structure of Deep Neural Networks
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Using entropy for image and video authentication watermarks
Reference 72
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition An end-to-end spatio-temporal attention model for human action recognition from skeleton data
Reference 73
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Human action recognition by representing 3d skeletons as points in a lie group
Reference 74
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Observation 95fe2bfa-8754-44e8-ab44-e1d551752d8b · outbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition From coarse to fine skin and face detection
Reference 75
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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Regularization of neural networks using dropconnect
Reference 76
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Observation eee49589-3d07-4425-afc0-4de95e3b4dc6 · outbound
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Effective 3d action recognition using eigenjoints.Journal of Visual Communication and Image Representation, 25(1):2–11, 2014
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