H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers | Paper Citation Record

Observation b4f4d5f3-c125-4fda-a2e7-65ff9d47bd29 · outbound

This paper cites Enhanced skeleton visualization for view invariant human action recognition,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Enhanced skeleton visualization for view invariant human action recognition,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.604268Z

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Observation 720d6735-2dbd-4c84-947c-cebf3ee3a7b3 · outbound

This paper cites BlockGCN: Redefine topology awareness for skeleton-based action recognition,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers BlockGCN: Redefine topology awareness for skeleton-based action recognition,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.589126Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b76054a0-1e5d-4354-a7c1-0a8a34ac3b80 · outbound

This paper cites Multi-task deep learning for real-time 3D human pose estimation and action recognition,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Multi-task deep learning for real-time 3D human pose estimation and action recognition,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.573629Z

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Observation 1501b5c8-696c-4514-98be-0138146998f1 · outbound

This paper cites 3D human pose estimation in rgbd images for robotic task learning,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers 3D human pose estimation in rgbd images for robotic task learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.559063Z

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Observation 8f07dd4c-430c-45db-9ae1-5f6f35af1e45 · outbound

This paper cites Hu- man 3D pose estimation with a tilting camera for social mobile robot interaction,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Hu- man 3D pose estimation with a tilting camera for social mobile robot interaction,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.544051Z

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Observation 825df645-40d0-4f10-b282-fc6779caec29 · outbound

This paper cites Human-aware vision-and- language navigation: Bridging simulation to reality with dynamic human interactions,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Human-aware vision-and- language navigation: Bridging simulation to reality with dynamic human interactions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.529550Z

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Observation 25e097b8-cec7-468c-9a53-1bbb547db02f · outbound

This paper cites VNect: Real-time 3D human pose estimation with a single rgb camera,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers VNect: Real-time 3D human pose estimation with a single rgb camera,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.514635Z

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Observation fbe5c82b-a7a7-443b-9246-2a5a25863618 · outbound

This paper cites MotionEditor: Editing video motion via content-aware diffusion,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers MotionEditor: Editing video motion via content-aware diffusion,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.500237Z

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Observation 63df35ca-7a6a-42e6-a570-0412419b5ef3 · outbound

This paper cites Co-evolution of pose and mesh for 3D human body estimation from video,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Co-evolution of pose and mesh for 3D human body estimation from video,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.485976Z

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Observation 40c0af29-640a-4295-84fa-0278243f7c5b · outbound

This paper cites HDFormer: High-order directed transformer for 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers HDFormer: High-order directed transformer for 3D human pose estimation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.470917Z

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Observation 37b2ad05-7ea0-4858-bdce-394562208d5a · outbound

This paper cites PoSynDA: Multi-hypothesis pose synthesis domain adaptation for robust 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers PoSynDA: Multi-hypothesis pose synthesis domain adaptation for robust 3D human pose estimation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.455696Z

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Observation 6e35c363-6443-46f5-8db4-7b2d87bd0fae · outbound

This paper cites APP: Adaptive pose pooling for 3D human pose estimation from videos,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers APP: Adaptive pose pooling for 3D human pose estimation from videos,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.441146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fcd25d00-440f-4a28-baf4-a4514bc50b67 · outbound

This paper cites 3D human pose estimation with spatial and temporal transformers,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers 3D human pose estimation with spatial and temporal transformers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.426324Z

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Observation 6bce40d8-d998-4d99-b04e-c62a61b716db · outbound

This paper cites MHFormer: Multi-hypothesis transformer for 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers MHFormer: Multi-hypothesis transformer for 3D human pose estimation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.411109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b114793d-4f91-4df6-84a5-0d1836a5097f · outbound

This paper cites MixSTE: Seq2seq mixed spatio-temporal encoder for 3D human pose estimation in video,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers MixSTE: Seq2seq mixed spatio-temporal encoder for 3D human pose estimation in video,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.395097Z

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Observation f51c0877-6a53-499d-a144-2ddfece8fcf0 · outbound

This paper cites MotionBERT: A unified perspective on learning human motion representations,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers MotionBERT: A unified perspective on learning human motion representations,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.379484Z

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Observation 90dbc6c8-3871-4133-bec1-3be5e3cbb31e · outbound

This paper cites TCPFormer: Learning temporal correlation with implicit pose proxy for 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers TCPFormer: Learning temporal correlation with implicit pose proxy for 3D human pose estimation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.364275Z

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Observation 4b28a346-55fc-46cd-978e-798221157b3f · outbound

This paper cites P-STMO: Pre-trained spatial temporal many-to-one model for 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers P-STMO: Pre-trained spatial temporal many-to-one model for 3D human pose estimation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.347922Z

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Observation 6ed72bc7-d23f-4b68-abb8-0746094895ac · outbound

This paper cites Exploiting temporal contexts with strided transformer for 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Exploiting temporal contexts with strided transformer for 3D human pose estimation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.332328Z

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Observation 72970066-8651-4f23-bb7a-435a8ef45175 · outbound

This paper cites Uplift and upsample: Efficient 3D human pose estimation with uplifting transformers,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Uplift and upsample: Efficient 3D human pose estimation with uplifting transformers,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.315890Z

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Observation b57b8b25-c837-473a-bea7-09290c4d5b2d · outbound

This paper cites Hourglass tok- enizer for efficient transformer-based 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Hourglass tok- enizer for efficient transformer-based 3D human pose estimation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.299990Z

Source-reported events for the cited work

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Observation f6e5953b-fcb9-4afc-abf3-0136e9c28b26 · outbound

This paper cites 3D human pose estimation in video with temporal convolutions and semi- supervised training,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers 3D human pose estimation in video with temporal convolutions and semi- supervised training,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.284393Z

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Observation 6de2d2f0-1a0c-4b75-8362-f9aa670abefe · outbound

This paper cites Attention mechanism exploits temporal contexts: Real-time 3D human pose reconstruction,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Attention mechanism exploits temporal contexts: Real-time 3D human pose reconstruction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.267817Z

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Observation d72560e8-4122-4bef-be79-5d62196e3970 · outbound

This paper cites Hu- man3.6M: Large scale datasets and predictive methods for 3D human sensing in natural environments,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Hu- man3.6M: Large scale datasets and predictive methods for 3D human sensing in natural environments,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.249315Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a5929187-bde4-4658-b9ba-79e6736a9455 · outbound

This paper cites DynamicViT: Efficient vision transformers with dynamic token sparsification,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers DynamicViT: Efficient vision transformers with dynamic token sparsification,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.232965Z

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Observation e3c76fb1-d654-40e8-8fb2-1751f3a7a9ca · outbound

This paper cites VTC-LFC: Vision transformer compression with low-frequency components,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers VTC-LFC: Vision transformer compression with low-frequency components,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.215978Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 97173f43-0817-4807-a09e-a6a58e64eb08 · outbound

This paper cites MotionAGFormer: Enhancing 3D human pose estimation with a transformer-gcnformer network,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers MotionAGFormer: Enhancing 3D human pose estimation with a transformer-gcnformer network,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.199602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6b40d83-3956-4630-8419-7d57b536cf02 · outbound

This paper cites Attention is all you need,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Attention is all you need,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.183013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf3b16a6-684d-4883-b2c8-29b69449fdc8 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T22:55:44.394566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b8a6825-0064-4e7e-8788-c91ef4f6b236 · outbound

This paper cites Swin Transformer: Hierarchical vision transformer using shifted windows,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Swin Transformer: Hierarchical vision transformer using shifted windows,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T22:55:44.398516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 930f046b-5ca2-4c3c-9c0c-665dac74af64 · outbound

This paper cites GSRFormer: Grounded situation recognition transformer with alternate semantic attention refinement,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers GSRFormer: Grounded situation recognition transformer with alternate semantic attention refinement,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.144295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e95de71a-0889-4338-b5aa-9c773d9e6a4e · outbound

This paper cites Implicit temporal modeling with learnable alignment for video recognition,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Implicit temporal modeling with learnable alignment for video recognition,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.128383Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1e795d72-8e81-41d3-aada-2b806054cf2e · outbound

This paper cites Adaptive multi-view and temporal fusing transformer for 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Adaptive multi-view and temporal fusing transformer for 3D human pose estimation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.111463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 373eb5fd-4fe5-4259-ad24-cc80b2184597 · outbound

This paper cites SVTformer: Spatial-view- temporal transformer for multi-view 3d human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers SVTformer: Spatial-view- temporal transformer for multi-view 3d human pose estimation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.093596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f96e7d7-5cb6-4b93-97e5-da9dd003322d · outbound

This paper cites A simple yet effective baseline for 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers A simple yet effective baseline for 3D human pose estimation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.075721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14809c94-0d1a-44aa-bda2-b282dced5ba8 · outbound

This paper cites MobileHumanPose: Toward real- time 3D human pose estimation in mobile devices,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers MobileHumanPose: Toward real- time 3D human pose estimation in mobile devices,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.055229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 60ebee9c-af8f-460b-93ca-b6eeef981744 · outbound

This paper cites DeciWatch: A simple baseline for 10x efficient 2D and 3D pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers DeciWatch: A simple baseline for 10x efficient 2D and 3D pose estimation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.032888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 48fab954-634f-41c6-88e5-9ca629c6d8ba · outbound

This paper cites PoseFormerV2: Exploring frequency domain for efficient and robust 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers PoseFormerV2: Exploring frequency domain for efficient and robust 3D human pose estimation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:45.016054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07385e7a-d708-4b69-a36c-50010ee4bbc9 · outbound

This paper cites MixSynthFormer: A transformer encoder-like structure with mixed synthetic self-attention for efficient human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers MixSynthFormer: A transformer encoder-like structure with mixed synthetic self-attention for efficient human pose estimation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.991304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 25bb93d7-3da1-4485-ba7d-1dd43d2da844 · outbound

This paper cites Learn- ing to reconstruct 3D human pose and shape via model-fitting in the loop,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Learn- ing to reconstruct 3D human pose and shape via model-fitting in the loop,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.975819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 96f5d0f2-9ef8-4e5c-8065-1bd28931b230 · outbound

This paper cites Exemplar fine-tuning for 3D human model fitting towards in-the-wild 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Exemplar fine-tuning for 3D human model fitting towards in-the-wild 3D human pose estimation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.958926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 397d71ba-eec4-45af-9869-de21c78643b3 · outbound

This paper cites PARE: Part attention regressor for 3D human body estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers PARE: Part attention regressor for 3D human body estimation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.943929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d922cbe-ffd0-43d0-84d8-29993f125cff · outbound

This paper cites TORE: Token reduction for efficient human mesh recovery with transformer,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers TORE: Token reduction for efficient human mesh recovery with transformer,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.929654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 16825822-1de4-4f87-95de-7e5d28a52f73 · outbound

This paper cites Beyond attentive tokens: Incorporating token importance and diversity for efficient vision transformers,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Beyond attentive tokens: Incorporating token importance and diversity for efficient vision transformers,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.914049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f044c05-ba2c-4eed-a7c2-e00aa6a06667 · outbound

This paper cites SPViT: Enabling faster vision transformers via latency-aware soft token pruning,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers SPViT: Enabling faster vision transformers via latency-aware soft token pruning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.897958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c94fcc8-0c33-43b1-be83-e2decafff9b9 · outbound

This paper cites Making vision transformers efficient from a token sparsification view,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Making vision transformers efficient from a token sparsification view,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.883238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44989d90-63e7-4fe4-84ec-30e0756b8106 · outbound

This paper cites PPT: Token-pruned pose transformer for monocular and multi-view human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers PPT: Token-pruned pose transformer for monocular and multi-view human pose estimation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.868634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3221ffe7-b8ce-40ef-8b86-23724007d868 · outbound

This paper cites TCFormer: Visual recognition via token clustering transformer,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers TCFormer: Visual recognition via token clustering transformer,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.853539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31755350-e565-4318-9397-8375b1fff6be · outbound

This paper cites GTPT: Group-based token pruning transformer for efficient human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers GTPT: Group-based token pruning transformer for efficient human pose estimation,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.839149Z

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Observation 8add3375-a0b0-4fa5-8ff6-e363868ba09c · outbound

This paper cites Deep residual learning for image recognition,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Deep residual learning for image recognition,

Reference 50

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Observation 025de195-5465-4dc4-bbc1-a8eb55e1cd6d · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Very deep convolutional networks for large-scale image recognition,

Reference 51

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Observation ed2c8055-c961-4e8a-b53f-bb351e8a0ebe · outbound

This paper cites Study on density peaks clustering based on k-nearest neighbors and principal component analysis,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Study on density peaks clustering based on k-nearest neighbors and principal component analysis,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.804949Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9f431092-4a39-4cef-b5b3-79be4d17ca39 · outbound

This paper cites A-ViT: Adaptive tokens for efficient vision trans- former,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers A-ViT: Adaptive tokens for efficient vision trans- former,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.790394Z

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Observation ddf73042-7a9d-4ec4-b425-5baf25628e11 · outbound

This paper cites Token pooling in vision transformers for image classification,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Token pooling in vision transformers for image classification,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.775728Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c14766e8-3162-44ee-b7b7-8662a0d84f71 · outbound

This paper cites Not all patches are what you need: Expediting vision transformers via token reorganizations,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Not all patches are what you need: Expediting vision transformers via token reorganizations,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T22:55:44.500530Z

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Observation 709eb1af-6c0c-465a-bcd1-e6402abdd3b1 · outbound

This paper cites DiffRate: Differentiable compression rate for efficient vision transformers,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers DiffRate: Differentiable compression rate for efficient vision transformers,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.750310Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf2ea3d7-e078-4c4c-830b-dc40279e0c99 · outbound

This paper cites Multi-hypothesis represen- tation learning for transformer-based 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Multi-hypothesis represen- tation learning for transformer-based 3D human pose estimation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.736258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f6694fa0-cd82-48e2-ac50-0490df665126 · outbound

This paper cites Monocular 3D human pose estimation in the wild using improved CNN supervision,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Monocular 3D human pose estimation in the wild using improved CNN supervision,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.721982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 590cb668-6de6-4437-9ea1-fd361814d127 · outbound

This paper cites GraphMLP: A graph MLP-like architecture for 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers GraphMLP: A graph MLP-like architecture for 3D human pose estimation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.707947Z

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Observation 733b872b-2cc8-40a9-b763-72d2b1797d16 · outbound

This paper cites Locally connected network for monocular 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Locally connected network for monocular 3D human pose estimation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.693301Z

Source-reported events for the cited work

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Observation f9d0d24c-6b35-4d94-8a9a-8c8f73c5ee5a · outbound

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H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Monocular 3D pose estimation via pose grammar and data augmentation,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.679446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01a8b894-ab54-46dd-a1a7-165d20417ddb · outbound

This paper cites Cascaded deep monocular 3D human pose estimation with evolutionary training data,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Cascaded deep monocular 3D human pose estimation with evolutionary training data,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.664535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e9f879f7-c10f-43a0-a4db-ad909c30732a · outbound

This paper cites Stacked hourglass networks for human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Stacked hourglass networks for human pose estimation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.648705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99557aab-28cd-44ee-b8f7-2ff27b9f5003 · outbound

This paper cites 3D human pose estimation with spatio-temporal criss-cross attention,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers 3D human pose estimation with spatio-temporal criss-cross attention,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.634297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ecc00e2-7edd-4dd1-afa8-f9e5e502eaf1 · outbound

This paper cites KTPFormer: Kinematics and trajectory prior knowledge-enhanced transformer for 3D human pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers KTPFormer: Kinematics and trajectory prior knowledge-enhanced transformer for 3D human pose estimation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.619636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2512e1e-6097-4b80-852c-95f7ac736f26 · outbound

This paper cites Diffusion-based 3D human pose estimation with multi-hypothesis aggregation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Diffusion-based 3D human pose estimation with multi-hypothesis aggregation,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.604436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9f1a2e9f-c54e-40f0-aa13-113e6938cc00 · outbound

This paper cites DiffPose: Toward more reliable 3D pose estimation,.

H$_{2}$OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers DiffPose: Toward more reliable 3D pose estimation,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:55:44.588756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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