Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition | Paper Citation Record

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This paper cites Imagenet classification with deep convolutional neural networks.

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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This paper cites Directedacyclicgraphkernelsforactionrecognition.

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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This paper cites Understanding attention and generalization in graph neural networks.

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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This paper cites Learning attribute representations for remote sensing ship category classification.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Learning attribute representations for remote sensing ship category classification

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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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This paper cites Relevance feedback for satellite image change detection.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Relevance feedback for satellite image change detection

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This paper cites Morphnet: Fast & simple resource-constrained structure learning of deep networks.

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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This paper cites Sparse artificial neural networks using a novel smoothed lasso penalization.

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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This paper cites Sahbi, J-Y.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Sahbi, J-Y

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This paper cites Learning structured sparsity in deep neural networks.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Learning structured sparsity in deep neural networks

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This paper cites Learning efficient convolutional networks through network slimming.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Learning efficient convolutional networks through network slimming

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This paper cites Constrained optical flow for aerial image change detection.

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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This paper cites Learning Sparse Neural Networks through $L_0$ Regularization.

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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This paper cites Searching for mobilenetv3.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Searching for mobilenetv3

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This paper cites Wang and H.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Wang and H

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This paper cites Convolutional two-stream network fusion for video action recognition.

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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This paper cites Transition forests: Learning discriminative temporal transitions for action recognition and detection.

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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This paper cites Bourdis, D.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Bourdis, D

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This paper cites First-person hand action benchmark with rgb-d videos and 3d hand pose annotations.

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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This paper cites Mazari and H.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Mazari and H

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This paper cites Mazari and H.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Mazari and H

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This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

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

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This paper cites Learning both weights and connections for efficient neural network.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Learning both weights and connections for efficient neural network

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This paper cites Nonlinear cross-view sample enrichment for action recognition.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Nonlinear cross-view sample enrichment for action recognition

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This paper cites Optimal brain damage.Advances in NIPS, 2, 1989.

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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This paper cites Second order derivatives for network pruning: Optimal brain surgeon.Advances in NIPS, 5, 1992.

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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This paper cites Jointly learning heterogeneous features for rgb-d activity recognition.

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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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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This paper cites Global co-occurrence feature learning and active coordinate system conversion for skeleton-based action recognition.

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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This paper cites Laplacian deep kernel learning for image annotation.

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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This paper cites Topologically-consistentmagnitudepruningforverylightweightgraphconvolutionalnetworks.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Topologically-consistentmagnitudepruningforverylightweightgraphconvolutionalnetworks

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This paper cites Spatial temporal graph convolutional networks for skeleton-based action recognition.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Spatial temporal graph convolutional networks for skeleton-based action recognition

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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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This paper cites Sahbi and F.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Sahbi and F

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This paper cites Jiu and H.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Jiu and H

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This paper cites A novel geometric framework on gram matrix trajectories for human behavior understanding.IEEE TPAMI, 42(1):1–14, 2018.

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

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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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This paper cites HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition.

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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This paper cites Building deep networks on grassmann manifolds.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Building deep networks on grassmann manifolds

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This paper cites Decoupled representation learning for skeleton-based gesture recognition.

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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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:52.147661Z

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Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work

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This paper cites Adam: A Method for Stochastic Optimization.

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 Pruning Filters for Efficient ConvNets

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Observation 3553d56c-eae3-4ab2-ac53-061d6ec042b2 · outbound

This paper cites an unresolved cited work.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:42:52.089129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6d198829-7c24-46b2-9c06-094973a78d32 · outbound

This paper cites Hierarchical recurrent neural network for skeleton based action recognition.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Hierarchical recurrent neural network for skeleton based action recognition

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:52.076516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 91ca6504-5e92-441f-bcbf-6687b715bcfd · outbound

This paper cites Spatio-temporal lstm with trust gates for 3d human action recognition.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Spatio-temporal lstm with trust gates for 3d human action recognition

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:52.059577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 16f14cc2-c6b3-4d8a-ba2d-3539052a49e7 · outbound

This paper cites Interactive satellite image change detection with context-aware canonical correlation analysis.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Interactive satellite image change detection with context-aware canonical correlation analysis

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T13:42:51.123782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6144d93f-8b78-487c-b439-a4e05b7af913 · outbound

This paper cites Skeleton-based human action recognition with global context-aware attention lstm networks.IEEE Transactions on Image Processing, 27(4):1586–1599, 2017.

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

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:52.034957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dd7008b1-6a36-4ddc-99f3-af1242c51ca8 · outbound

This paper cites View adaptive recurrent neural networks for high performance human action recognition from skeleton data.

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

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:52.021357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8a7f96bf-821d-4c0a-977e-5e0ce4621f89 · outbound

This paper cites an unresolved cited work.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:42:51.998663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f980714d-7803-4428-a2fa-5801865b4a81 · outbound

This paper cites Co-occurrence feature learning for skeleton based action recognition using regularized deep lstm networks.

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

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.986010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a938c34c-01de-436b-81a5-2357990c63b7 · outbound

This paper cites Deepgru: Deep gesture recognition utility.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Deepgru: Deep gesture recognition utility

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.973562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2e073a43-90df-49c2-b631-23ad67be964c · outbound

This paper cites Rgb-d-based human motion recognition with deep learning: A survey.CVIU, 2018.

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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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.961216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0ec343fc-2726-4e14-bbdb-e8f202222190 · outbound

This paper cites an unresolved cited work.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:42:51.948366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2784a817-fa9a-4c88-b433-93bb85b39009 · outbound

This paper cites Linear-time online action detection from 3d skeletal data using bags of gesturelets.

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

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.937374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8cb8013f-2563-444d-93e8-a52461ba7f78 · outbound

This paper cites an unresolved cited work.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:42:51.925731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a22d7d64-8440-41ad-bc01-aebafb881042 · outbound

This paper cites Applying interest operators in semi-fragile video watermarking.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Applying interest operators in semi-fragile video watermarking

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T13:42:51.166334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b660e041-3328-46f5-a9b3-bc5f1a5ec5bd · outbound

This paper cites DropNeuron: Simplifying the Structure of Deep Neural Networks.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition DropNeuron: Simplifying the Structure of Deep Neural Networks

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-08-11T13:42:51.396440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4ab16360-47a2-4f83-9aa5-4235f32149a6 · outbound

This paper cites Using entropy for image and video authentication watermarks.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Using entropy for image and video authentication watermarks

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T13:42:51.178174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a705847-342e-4504-bb68-93e6fc1d7eee · outbound

This paper cites An end-to-end spatio-temporal attention model for human action recognition from skeleton data.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.898353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a490e949-1639-4ba6-b707-c7727b24a72e · outbound

This paper cites Human action recognition by representing 3d skeletons as points in a lie group.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.886019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 95fe2bfa-8754-44e8-ab44-e1d551752d8b · outbound

This paper cites From coarse to fine skin and face detection.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition From coarse to fine skin and face detection

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T13:42:51.190348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c404aa0-8090-43da-aa7f-e74dfa382ddb · outbound

This paper cites Regularization of neural networks using dropconnect.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Regularization of neural networks using dropconnect

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.866987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eee49589-3d07-4425-afc0-4de95e3b4dc6 · outbound

This paper cites Effective 3d action recognition using eigenjoints.Journal of Visual Communication and Image Representation, 25(1):2–11, 2014.

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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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.854831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 27aba95d-b6f4-4a2f-b9b2-bc90a85c9991 · outbound

This paper cites Yuan, G-S.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Yuan, G-S

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.841396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 22eae215-50c0-4344-83d8-e0c444205a82 · outbound

This paper cites Interactive body part contrast mining for human interaction recognition.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Interactive body part contrast mining for human interaction recognition

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.817674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 277b4d4f-9e25-4590-adf8-6b82dac7b4ee · outbound

This paper cites Category-blind human action recognition: A practical recognition system.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Category-blind human action recognition: A practical recognition system

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.804274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9bd8b3cf-16b2-4f8a-9881-9754496b4a3c · outbound

This paper cites Sahbi and F.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Sahbi and F

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.788970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c793d64-c0f0-49f7-9b3c-99b3dd690b7f · outbound

This paper cites Hon4d: Histogram of oriented 4d normals for activity recognition from depth sequences.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Hon4d: Histogram of oriented 4d normals for activity recognition from depth sequences

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.775493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d705ab9c-374d-4059-9cb0-44ca6237e5c2 · outbound

This paper cites 3d action recognition from novel viewpoints.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition 3d action recognition from novel viewpoints

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.761266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c6877643-3203-469f-8c5f-227c979451eb · outbound

This paper cites Sahbi and D.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Sahbi and D

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.740367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6dbb1823-21f4-4d4d-a246-d3891f92d29c · outbound

This paper cites Two-person interaction detection using body-pose features and multiple instance learning.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Two-person interaction detection using body-pose features and multiple instance learning

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.727516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e2463a14-85fd-4a99-aa95-8c3596ab01fa · outbound

This paper cites Jiu and H.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Jiu and H

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.712484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 46fa4716-b9ab-4573-8ce6-cd44b5481c89 · outbound

This paper cites The moving pose: An efficient 3d kinematics descriptor for low-latency action recognition and detection.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition The moving pose: An efficient 3d kinematics descriptor for low-latency action recognition and detection

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.695792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fa9b3a48-8b6f-4db2-86b1-9b5742eab70a · outbound

This paper cites Graph-cut transducers for relevance feedback in content based image retrieval.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Graph-cut transducers for relevance feedback in content based image retrieval

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Resolution: unresolved; no resolver link, observed 2026-08-11T13:42:51.264048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e3431e6-4265-4f8c-b720-e21d8f95c844 · outbound

This paper cites Efficient temporal sequence comparison and classification using gram matrix embeddings on a riemannian manifold.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Efficient temporal sequence comparison and classification using gram matrix embeddings on a riemannian manifold

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.669450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 05e02790-494f-4b74-b1a7-9993ea572cec · outbound

This paper cites Context-dependent kernel design for object matching and recognition.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Context-dependent kernel design for object matching and recognition

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T13:42:51.276776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17d08ef4-9e15-4b83-b973-dd7278903917 · outbound

This paper cites Convolutional neural networks and long short-term memory for skeleton-based human activity and hand gesture recognition.Pattern Recognition, 76:80–94, 2018.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Convolutional neural networks and long short-term memory for skeleton-based human activity and hand gesture recognition.Pattern Recognition, 76:80–94, 2018

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.648103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2be5c6be-c4e3-4c46-acc9-99166cfde2dd · outbound

This paper cites Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization

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Resolution: unresolved; no resolver link, observed 2026-08-11T13:42:51.285314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44207c82-e248-438a-b8ce-7fac74403ec9 · outbound

This paper cites an unresolved cited work.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:42:51.634077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0b7253e6-972f-4fd1-a659-f8c2c7d8b778 · outbound

This paper cites TELECOM ParisTech at ImageClefphoto 2008: Bi-Modal Text and Image Retrieval with Diversity Enhancement.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition TELECOM ParisTech at ImageClefphoto 2008: Bi-Modal Text and Image Retrieval with Diversity Enhancement

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-11T13:42:51.293443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb0c814a-d676-4f9e-beda-2e43b54bd0e4 · outbound

This paper cites CNRS-TELECOM ParisTech at ImageCLEF 2013 Scalable Concept Image Annotation Task: Winning Annotations with Context Dependent SVMs.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition CNRS-TELECOM ParisTech at ImageCLEF 2013 Scalable Concept Image Annotation Task: Winning Annotations with Context Dependent SVMs

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-11T13:42:51.297463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17e51e07-f573-43bd-9f22-4b9ce2dd6c1f · outbound

This paper cites Coarse-to-fine support vector classifiers for face detection.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Coarse-to-fine support vector classifiers for face detection

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-11T13:42:51.301488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa1d92ec-3603-4cba-ab5e-64e8eeaaedc9 · outbound

This paper cites Visual content extraction for automatic semantic annotation of video news.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Visual content extraction for automatic semantic annotation of video news

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:42:51.594593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d4fb27aa-75e4-4183-93f0-2d2ef6399fbd · outbound

This paper cites Misalignment resilient cca for interactive satellite image change detection.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Misalignment resilient cca for interactive satellite image change detection

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Resolution: unresolved; no resolver link, observed 2026-08-11T13:42:51.309222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7580bfda-1df8-474f-90e6-ca1e61f08870 · outbound

This paper cites From 2D silhouettes to 3D object retrieval: contributions and benchmarking.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition From 2D silhouettes to 3D object retrieval: contributions and benchmarking

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Resolution: unresolved; no resolver link, observed 2026-08-11T13:42:51.312844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6cff1d4-1833-4d0a-a73c-9bf65fe88027 · outbound

This paper cites Semi supervised deep kernel design for image annotation.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Semi supervised deep kernel design for image annotation

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-11T13:42:51.317022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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