Temporal Rate Reduction Clustering for Human Motion Segmentation | Paper Citation Record

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This paper cites A percep- tual prediction framework for self supervised event segmen- tation.

Temporal Rate Reduction Clustering for Human Motion Segmentation A percep- tual prediction framework for self supervised event segmen- tation

Reference 1

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This paper cites Unsu- pervised learning from narrated instruction videos.

Temporal Rate Reduction Clustering for Human Motion Segmentation Unsu- pervised learning from narrated instruction videos

Reference 2

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This paper cites Dual-side auto-encoder for high-dimensional time series seg- mentation.

Temporal Rate Reduction Clustering for Human Motion Segmentation Dual-side auto-encoder for high-dimensional time series seg- mentation

Reference 3

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This paper cites Human motion segmentation via velocity-sensitive dual-side auto-encoder.

Temporal Rate Reduction Clustering for Human Motion Segmentation Human motion segmentation via velocity-sensitive dual-side auto-encoder

Reference 4

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This paper cites Image clustering via the principle of rate reduction in the age of pretrained models.

Temporal Rate Reduction Clustering for Human Motion Segmentation Image clustering via the principle of rate reduction in the age of pretrained models

Reference 5

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This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

Temporal Rate Reduction Clustering for Human Motion Segmentation Sinkhorn distances: Lightspeed computation of optimal transport

Reference 6

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This paper cites Enhancing tempo- ral segmentation by nonlocal self-similarity.

Temporal Rate Reduction Clustering for Human Motion Segmentation Enhancing tempo- ral segmentation by nonlocal self-similarity

Reference 7

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This paper cites Learning event rep- resentations for temporal segmentation of image sequences by dynamic graph embedding.

Temporal Rate Reduction Clustering for Human Motion Segmentation Learning event rep- resentations for temporal segmentation of image sequences by dynamic graph embedding

Reference 8

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This paper cites Graph constrained data representation learning for human motion segmentation.

Temporal Rate Reduction Clustering for Human Motion Segmentation Graph constrained data representation learning for human motion segmentation

Reference 9

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This paper cites Tempo- ral action segmentation: An analysis of modern techniques.

Temporal Rate Reduction Clustering for Human Motion Segmentation Tempo- ral action segmentation: An analysis of modern techniques

Reference 10

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This paper cites Haeffele.

Temporal Rate Reduction Clustering for Human Motion Segmentation Haeffele

Reference 11

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This paper cites Fast and unsupervised action boundary detection for action seg- mentation.

Temporal Rate Reduction Clustering for Human Motion Segmentation Fast and unsupervised action boundary detection for action seg- mentation

Reference 12

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This paper cites Sparse subspace cluster- ing.

Temporal Rate Reduction Clustering for Human Motion Segmentation Sparse subspace cluster- ing

Reference 13

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This paper cites Log- det heuristic for matrix rank minimization with applications to hankel and euclidean distance matrices.

Temporal Rate Reduction Clustering for Human Motion Segmentation Log- det heuristic for matrix rank minimization with applications to hankel and euclidean distance matrices

Reference 14

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This paper cites The visual analysis of human movement: A survey.

Temporal Rate Reduction Clustering for Human Motion Segmentation The visual analysis of human movement: A survey

Reference 15

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This paper cites Probabilistic tem- poral subspace clustering.

Temporal Rate Reduction Clustering for Human Motion Segmentation Probabilistic tem- poral subspace clustering

Reference 16

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This paper cites Actions as space-time shapes.IEEE Trans- actions on Pattern Analysis and Machine Intelligence , 29 (12):2247–2253, 2007.

Temporal Rate Reduction Clustering for Human Motion Segmentation Actions as space-time shapes.IEEE Trans- actions on Pattern Analysis and Machine Intelligence , 29 (12):2247–2253, 2007

Reference 17

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This paper cites A cri- tique of self-expressive deep subspace clustering.

Temporal Rate Reduction Clustering for Human Motion Segmentation A cri- tique of self-expressive deep subspace clustering

Reference 18

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This paper cites Sequential max-margin event detectors.

Temporal Rate Reduction Clustering for Human Motion Segmentation Sequential max-margin event detectors

Reference 19

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This paper cites Towards understanding action recognition.

Temporal Rate Reduction Clustering for Human Motion Segmentation Towards understanding action recognition

Reference 20

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This paper cites Recognizing hu- man actions by learning and matching shape-motion proto- type trees.

Temporal Rate Reduction Clustering for Human Motion Segmentation Recognizing hu- man actions by learning and matching shape-motion proto- type trees

Reference 21

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This paper cites The language of actions: Recovering the syntax and semantics of goal- directed human activities.

Temporal Rate Reduction Clustering for Human Motion Segmentation The language of actions: Recovering the syntax and semantics of goal- directed human activities

Reference 22

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Observation cb8f5716-eb20-463b-9dc0-4c46810d4f8e · outbound

This paper cites Unsupervised learning of action classes with contin- uous temporal embedding.

Temporal Rate Reduction Clustering for Human Motion Segmentation Unsupervised learning of action classes with contin- uous temporal embedding

Reference 23

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Observation 29bb7db3-6c32-456a-90d8-fcd98f8f0f81 · outbound

This paper cites Learning realistic human actions from movies.

Temporal Rate Reduction Clustering for Human Motion Segmentation Learning realistic human actions from movies

Reference 24

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This paper cites Structured sparse subspace clustering: A joint affinity learning and sub- space clustering framework.

Temporal Rate Reduction Clustering for Human Motion Segmentation Structured sparse subspace clustering: A joint affinity learning and sub- space clustering framework

Reference 25

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This paper cites Deeper insights into graph convolutional networks for semi-supervised learn- ing.

Temporal Rate Reduction Clustering for Human Motion Segmentation Deeper insights into graph convolutional networks for semi-supervised learn- ing

Reference 26

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This paper cites Temporal subspace clus- tering for human motion segmentation.

Temporal Rate Reduction Clustering for Human Motion Segmentation Temporal subspace clus- tering for human motion segmentation

Reference 27

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This paper cites Robust subspace clustering with indepen- dent and piecewise identically distributed noise modeling.

Temporal Rate Reduction Clustering for Human Motion Segmentation Robust subspace clustering with indepen- dent and piecewise identically distributed noise modeling

Reference 28

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This paper cites Neural Manifold Clustering and Embedding.

Temporal Rate Reduction Clustering for Human Motion Segmentation Neural Manifold Clustering and Embedding

Reference 29

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This paper cites Robust sub- space segmentation by low-rank representation.

Temporal Rate Reduction Clustering for Human Motion Segmentation Robust sub- space segmentation by low-rank representation

Reference 30

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This paper cites in the wild.

Temporal Rate Reduction Clustering for Human Motion Segmentation in the wild

Reference 31

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This paper cites Self-supervised learning via maximum entropy coding.

Temporal Rate Reduction Clustering for Human Motion Segmentation Self-supervised learning via maximum entropy coding

Reference 32

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This paper cites Robust and efficient subspace segmentation via least squares regression.

Temporal Rate Reduction Clustering for Human Motion Segmentation Robust and efficient subspace segmentation via least squares regression

Reference 33

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This paper cites Seg- mentation of multivariate mixed data via lossy coding and compression.

Temporal Rate Reduction Clustering for Human Motion Segmentation Seg- mentation of multivariate mixed data via lossy coding and compression

Reference 34

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This paper cites Exploring a principled framework for deep subspace clustering.

Temporal Rate Reduction Clustering for Human Motion Segmentation Exploring a principled framework for deep subspace clustering

Reference 35

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This paper cites A survey of advances in vision-based human motion capture and analysis.

Temporal Rate Reduction Clustering for Human Motion Segmentation A survey of advances in vision-based human motion capture and analysis

Reference 36

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This paper cites Dynamic bayesian networks: repre- sentation, inference and learning.

Temporal Rate Reduction Clustering for Human Motion Segmentation Dynamic bayesian networks: repre- sentation, inference and learning

Reference 37

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Temporal Rate Reduction Clustering for Human Motion Segmentation Unresolved cited work

Reference 38

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This paper cites Vision-based human motion analysis: An overview.

Temporal Rate Reduction Clustering for Human Motion Segmentation Vision-based human motion analysis: An overview

Reference 39

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This paper cites Learn- ing transferable visual models from natural language super- vision.

Temporal Rate Reduction Clustering for Human Motion Segmentation Learn- ing transferable visual models from natural language super- vision

Reference 40

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This paper cites Spatio-temporal re- lationship match: Video structure comparison for recogni- tion of complex human activities.

Temporal Rate Reduction Clustering for Human Motion Segmentation Spatio-temporal re- lationship match: Video structure comparison for recogni- tion of complex human activities

Reference 41

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This paper cites Temporally-weighted hierarchical clustering for unsupervised action segmentation.

Temporal Rate Reduction Clustering for Human Motion Segmentation Temporally-weighted hierarchical clustering for unsupervised action segmentation

Reference 42

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This paper cites Normalized cuts and image segmentation.

Temporal Rate Reduction Clustering for Human Motion Segmentation Normalized cuts and image segmentation

Reference 43

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This paper cites Very deep convo- lutional networks for large-scale image recognition.

Temporal Rate Reduction Clustering for Human Motion Segmentation Very deep convo- lutional networks for large-scale image recognition

Reference 44

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This paper cites Probabilistic model-based clustering of multivariate and sequential data.

Temporal Rate Reduction Clustering for Human Motion Segmentation Probabilistic model-based clustering of multivariate and sequential data

Reference 45

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This paper cites Hierarchical vector quantization for unsuper- vised action segmentation.

Temporal Rate Reduction Clustering for Human Motion Segmentation Hierarchical vector quantization for unsuper- vised action segmentation

Reference 46

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Temporal Rate Reduction Clustering for Human Motion Segmentation Unresolved cited work

Reference 47

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This paper cites Subspace cluster- ing for sequential data.

Temporal Rate Reduction Clustering for Human Motion Segmentation Subspace cluster- ing for sequential data

Reference 48

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This paper cites Action recognition with improved trajectories.

Temporal Rate Reduction Clustering for Human Motion Segmentation Action recognition with improved trajectories

Reference 49

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This paper cites Learning trans- ferable subspace for human motion segmentation.

Temporal Rate Reduction Clustering for Human Motion Segmentation Learning trans- ferable subspace for human motion segmentation

Reference 50

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This paper cites Low-rank transfer human motion segmentation.

Temporal Rate Reduction Clustering for Human Motion Segmentation Low-rank transfer human motion segmentation

Reference 51

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This paper cites A global geometric analysis of maximal coding rate reduction.

Temporal Rate Reduction Clustering for Human Motion Segmentation A global geometric analysis of maximal coding rate reduction

Reference 52

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This paper cites Support structure representation learning for sequential data cluster- ing.

Temporal Rate Reduction Clustering for Human Motion Segmentation Support structure representation learning for sequential data cluster- ing

Reference 53

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This paper cites Coseg: Cognitively inspired unsupervised generic event segmenta- tion.

Temporal Rate Reduction Clustering for Human Motion Segmentation Coseg: Cognitively inspired unsupervised generic event segmenta- tion

Reference 54

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This paper cites Mixtures of arma models for model-based time series clustering.

Temporal Rate Reduction Clustering for Human Motion Segmentation Mixtures of arma models for model-based time series clustering

Reference 55

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Observation 6f1eea3c-6439-473f-92da-ce2d04a4dd6b · outbound

This paper cites Temporally consistent unbal- anced optimal transport for unsupervised action segmenta- tion.

Temporal Rate Reduction Clustering for Human Motion Segmentation Temporally consistent unbal- anced optimal transport for unsupervised action segmenta- tion

Reference 56

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Observation affb32cd-9cb8-4df8-9af4-c5976ce390d2 · outbound

This paper cites Oracle based active set algorithm for scalable elastic net subspace clustering.

Temporal Rate Reduction Clustering for Human Motion Segmentation Oracle based active set algorithm for scalable elastic net subspace clustering

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:39:36.850150Z

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Observation d8d0e3f8-3ca2-4a2b-8ff3-7c71df75d49e · outbound

This paper cites Learning diverse and discriminative rep- resentations via the principle of maximal coding rate reduc- tion.

Temporal Rate Reduction Clustering for Human Motion Segmentation Learning diverse and discriminative rep- resentations via the principle of maximal coding rate reduc- tion

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:39:36.839734Z

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Observation a6e5d2db-8c25-4277-9bee-5e73cccffe10 · outbound

This paper cites Learning a self-expressive network for subspace cluster- ing.

Temporal Rate Reduction Clustering for Human Motion Segmentation Learning a self-expressive network for subspace cluster- ing

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:39:36.828442Z

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Observation 551a3795-c2f0-4472-a6a8-e99731be8ffe · outbound

This paper cites Un- supervised discovery of facial events.

Temporal Rate Reduction Clustering for Human Motion Segmentation Un- supervised discovery of facial events

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:39:36.816898Z

Source-reported events for the cited work

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Observation 266f9bcf-f023-4c40-94a9-c4486c9e2707 · outbound

This paper cites Hierarchical aligned cluster analysis for temporal clustering of human motion.

Temporal Rate Reduction Clustering for Human Motion Segmentation Hierarchical aligned cluster analysis for temporal clustering of human motion

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:39:36.805576Z

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Observation 374805b0-948e-49f5-8f4b-9adb596558d9 · outbound

This paper cites Multi-mutual consistency induced transfer subspace learning for human motion segmentation.

Temporal Rate Reduction Clustering for Human Motion Segmentation Multi-mutual consistency induced transfer subspace learning for human motion segmentation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:39:36.795239Z

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Observation 331a0af1-d118-4649-b58c-621ab055e622 · outbound

This paper cites Consistency and diversity induced human motion segmentation.

Temporal Rate Reduction Clustering for Human Motion Segmentation Consistency and diversity induced human motion segmentation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:39:36.784633Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a8adab4a-3ba9-4e15-9e3b-2068d58908f6 · outbound

This paper cites compressed.

Temporal Rate Reduction Clustering for Human Motion Segmentation compressed

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:39:36.771737Z

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