Designing Semi-Structured 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.

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Imagenet classification with deep convolutional neural networks

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Semi-Supervised Classification with Graph Convolutional Networks

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Transductive kernel map learning and its application to image annotation

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Adaptive graph convolutional neural networks

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Directedacyclicgraphkernelsforactionrecognition

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition A new model for learning in graph domains

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Robust face recognition using dynamic space warping

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Understanding attention and generalization in graph neural networks

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Learning attribute representations for remote sensing ship category classification

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Improved knowledge distillation via teacher assistant

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition learning-compression

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Relevance feedback for satellite image change detection

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Morphnet: Fast & simple resource-constrained structure learning of deep networks

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Sparse artificial neural networks using a novel smoothed lasso penalization

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Designing Semi-Structured 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.

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Sahbi, J-Y

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Learning structured sparsity in deep neural networks

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Designing Semi-Structured 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.

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Constrained optical flow for aerial image change detection

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Learning Sparse Neural Networks through $L_0$ Regularization

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Searching for mobilenetv3

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This paper cites Wang and H.

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Wang and H

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Convolutional two-stream network fusion for video action recognition

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Designing Semi-Structured 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.

Designing Semi-Structured 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.

Designing Semi-Structured 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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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Mazari and H

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Mazari and H

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Designing Semi-Structured 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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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Learning both weights and connections for efficient neural network

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Nonlinear cross-view sample enrichment for action recognition

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Optimal brain damage.Advances in NIPS, 2, 1989

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Designing Semi-Structured 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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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Coarse-to-fine deep kernel networks

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Jointly learning heterogeneous features for rgb-d activity recognition

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Spatio-temporal graph convolution for skeleton based action recognition

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Designing Semi-Structured 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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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Laplacian deep kernel learning for image annotation

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Designing Semi-Structured 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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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Topologically-consistentmagnitudepruningforverylightweightgraphconvolutionalnetworks

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Spatial temporal graph convolutional networks for skeleton-based action recognition

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition A riemannian network for spd matrix learning

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Sahbi and F

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Jiu and H

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Designing Semi-Structured 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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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Camera pose estimation using visual servoing for aerial video change detection

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work

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Designing Semi-Structured 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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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Building deep networks on grassmann manifolds

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Decoupled representation learning for skeleton-based gesture recognition

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Adam: A Method for Stochastic Optimization

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Structured pruning of neural networks with budget-aware regularization

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Bags-of-daglets for action recognition

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Pruning Filters for Efficient ConvNets

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Hierarchical recurrent neural network for skeleton based action recognition

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Spatio-temporal lstm with trust gates for 3d human action recognition

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Interactive satellite image change detection with context-aware canonical correlation analysis

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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.

Designing Semi-Structured 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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Observation 53e1229c-2d57-468d-a17e-1fee914ef7dc · outbound

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

Designing Semi-Structured 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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Observation 0292bb51-8833-4eb8-8360-a101abb2471f · outbound

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work

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Observation 990e7f00-a38d-4505-8bdc-88640956cba1 · outbound

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

Designing Semi-Structured 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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Observation 3ee4c11a-ec8c-477c-8b77-7c19012f21cf · outbound

This paper cites Deepgru: Deep gesture recognition utility.

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Deepgru: Deep gesture recognition utility

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Observation b20e8d82-d1e8-4d32-97a5-5a77c7020038 · outbound

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

Designing Semi-Structured 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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Observation 6efac2a8-0cf0-451f-94ea-c123a4529d64 · outbound

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work

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Observation d80aebd3-3238-446b-849a-74104262f9d5 · outbound

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

Designing Semi-Structured 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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Observation b0b23549-5289-4cc8-bd21-63aaaae0a4bb · outbound

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work

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Observation be0b8c60-1acb-462d-a581-499e7d9df2b4 · outbound

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Applying interest operators in semi-fragile video watermarking

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Observation a13876b1-7511-4025-8ab5-882537f8cf4a · outbound

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition DropNeuron: Simplifying the Structure of Deep Neural Networks

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Observation 7557a83e-2d7f-4ae2-b5e6-ecb5e5289340 · outbound

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Using entropy for image and video authentication watermarks

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Observation d971f031-b1be-4299-8098-c8f6b26a9bc7 · outbound

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition An end-to-end spatio-temporal attention model for human action recognition from skeleton data

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Human action recognition by representing 3d skeletons as points in a lie group

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Observation 1b6a9333-dc46-4200-9651-dae1d10ee9f9 · outbound

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition From coarse to fine skin and face detection

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Observation f7011570-98fc-4344-8c71-ecdc69eed704 · outbound

This paper cites Regularization of neural networks using dropconnect.

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Regularization of neural networks using dropconnect

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Observation 867e3853-fb9f-4eab-99ea-ca39eec37632 · outbound

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

Designing Semi-Structured 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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Observation 9727cc84-94f5-4598-bc55-aefc1f92a6cd · outbound

This paper cites Yuan, G-S.

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Yuan, G-S

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Observation c40aca60-14ad-4f1d-b3b1-b4fc49feeca2 · outbound

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Interactive body part contrast mining for human interaction recognition

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Category-blind human action recognition: A practical recognition system

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Observation 58d15933-2c0d-427d-8410-90c1ff8f0eea · outbound

This paper cites Sahbi and F.

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Sahbi and F

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Observation 5b2a72fe-33c2-402e-8573-917e4dfa415d · outbound

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Hon4d: Histogram of oriented 4d normals for activity recognition from depth sequences

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Observation c8b79640-47d3-4158-a5e3-212022888291 · outbound

This paper cites 3d action recognition from novel viewpoints.

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition 3d action recognition from novel viewpoints

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Observation 52f3f9ca-31ba-44de-b6e0-e46b5be899b3 · outbound

This paper cites Sahbi and D.

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Sahbi and D

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Observation add2340b-b81c-461a-b5a9-d0e7e488970d · outbound

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Two-person interaction detection using body-pose features and multiple instance learning

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Observation 47bbb15f-5648-4d34-a29b-d030ac99ecf5 · outbound

This paper cites Jiu and H.

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Jiu and H

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Observation 5a2bc9f5-1dff-408a-85e2-773bb00c4534 · outbound

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

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Graph-cut transducers for relevance feedback in content based image retrieval

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

Designing Semi-Structured 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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Observation 0ab41ca0-9025-44e4-8c7a-0fc8b39ed181 · outbound

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Context-dependent kernel design for object matching and recognition

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Observation e4b4b66c-3b3c-480f-8e7f-5511fabbf8d6 · 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.

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

Designing Semi-Structured 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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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Unresolved cited work

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Observation b58ae64f-1ddc-4cff-b9a8-64d9de3097bd · outbound

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition TELECOM ParisTech at ImageClefphoto 2008: Bi-Modal Text and Image Retrieval with Diversity Enhancement

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Observation 6be4e555-0d70-4a9a-a128-a73fb1264e13 · outbound

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

Designing Semi-Structured 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

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Coarse-to-fine support vector classifiers for face detection

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Observation 6608aef1-46f9-4f4e-9c17-d0795ccf7025 · outbound

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Visual content extraction for automatic semantic annotation of video news

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Observation 47b089b6-41f7-4edb-97f1-8a5d531cb1cd · outbound

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Misalignment resilient cca for interactive satellite image change detection

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Observation b9f31299-aa65-48e7-abd6-7186e4b90ae3 · outbound

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Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition From 2D silhouettes to 3D object retrieval: contributions and benchmarking

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Observation 735a17bc-1308-4252-92e1-49aed03fcb79 · outbound

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

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Semi supervised deep kernel design for image annotation

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