DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding | Paper Citation Record

Observation e40b5885-8f90-4c8e-ae2e-04ffd770125f · outbound

This paper cites Simultaneous real-time human fall detection and reidentification based on multisensors data.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Simultaneous real-time human fall detection and reidentification based on multisensors data

Reference 1

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Observation cb1b9546-9b5f-42f2-bd44-c7ea1a761fcd · outbound

This paper cites A cross- dataset study for text-based 3d human motion retrieval.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding A cross- dataset study for text-based 3d human motion retrieval

Reference 2

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Observation ccb862aa-7aeb-407c-8312-f5261f48da61 · outbound

This paper cites Is space-time attention all you need for video understanding? In ICML, page 4, 2021.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Is space-time attention all you need for video understanding? In ICML, page 4, 2021

Reference 3

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Observation 7857f5a2-0ed6-49e6-b3ad-390dea2ad75e · outbound

This paper cites Vitag: Online wifi fine time measurements aided vision-motion identity association in multi-person environ- ments.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Vitag: Online wifi fine time measurements aided vision-motion identity association in multi-person environ- ments

Reference 4

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Observation f6d5f471-2dbc-4cff-86c0-a9342e308acf · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Quo vadis, action recognition? a new model and the kinetics dataset

Reference 5

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Observation 317164f3-ea84-4cd7-a9fc-3c9c16bff0c7 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding A simple framework for contrastive learning of visual representations

Reference 6

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Observation 9893f43e-4aec-4b0d-bf65-849823a9fdde · outbound

This paper cites KAN-HyperpointNet for Point Cloud Sequence-Based 3D Human Action Recognition.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding KAN-HyperpointNet for Point Cloud Sequence-Based 3D Human Action Recognition

Reference 7

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Observation b994d7e2-0285-4f50-b2c9-e18055e6677a · outbound

This paper cites Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment

Reference 8

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Observation 4e14b556-94af-4947-94f4-6c9613900153 · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 9

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Observation 11d1f515-adef-44ea-a6f8-1d7ebb777918 · outbound

This paper cites Point 4d trans- former networks for spatio-temporal modeling in point cloud videos.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Point 4d trans- former networks for spatio-temporal modeling in point cloud videos

Reference 10

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Observation 3639fdab-a366-4a27-9302-589313b63c21 · outbound

This paper cites Pstnet: Point spatio-temporal convolution on point cloud sequences.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Pstnet: Point spatio-temporal convolution on point cloud sequences

Reference 11

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Observation ea2838ba-706d-49d6-8b41-eff9ea2f5c48 · outbound

This paper cites Deep hierarchical representation of point cloud videos via spatio-temporal decomposition.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Deep hierarchical representation of point cloud videos via spatio-temporal decomposition

Reference 12

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Observation c0e91862-063d-4389-9d14-7da0f486430c · outbound

This paper cites Point spatio- temporal transformer networks for point cloud video mod- eling.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Point spatio- temporal transformer networks for point cloud video mod- eling

Reference 13

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Observation f7d346b0-3960-4b4c-a8b6-2bfbd4649711 · outbound

This paper cites Slowfast networks for video recognition.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Slowfast networks for video recognition

Reference 14

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Observation 98e1ccaa-1ae5-4b61-9c71-ba9ca51b8cf8 · outbound

This paper cites Imagebind: One embedding space to bind them all.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Imagebind: One embedding space to bind them all

Reference 15

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Observation 471f20fc-b2c4-45fd-bae3-351aa9ef2da0 · outbound

This paper cites Generating diverse and natural 3d human motions from text.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Generating diverse and natural 3d human motions from text

Reference 16

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Observation 176ec9fb-7a16-489e-92d8-6114e597e6e8 · outbound

This paper cites Separating the” chirp” from the” chat”: Self-supervised visual grounding of sound and language.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Separating the” chirp” from the” chat”: Self-supervised visual grounding of sound and language

Reference 17

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Observation 972b00cd-e693-4015-8170-6330b22c24aa · outbound

This paper cites Masked motion prediction with semantic contrast for point cloud sequence learning.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Masked motion prediction with semantic contrast for point cloud sequence learning

Reference 18

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Observation 25764052-192c-4c02-9668-ba8ddf8acdf6 · outbound

This paper cites Long short-term memory.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Long short-term memory

Reference 19

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Observation 430c6257-3d1c-4f7a-947c-186503ae3914 · outbound

This paper cites Wifi and vision-integrated fingerprint for smartphone-based self-localization in public indoor scenes.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Wifi and vision-integrated fingerprint for smartphone-based self-localization in public indoor scenes

Reference 20

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Observation d949d751-7c6d-4df1-b3f7-c820a2d32667 · outbound

This paper cites Deep iner- tial poser: Learning to reconstruct human pose from sparse inertial measurements in real time.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Deep iner- tial poser: Learning to reconstruct human pose from sparse inertial measurements in real time

Reference 21

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Observation 3d5fcfc7-8abd-44f1-9e18-81514c18d16d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Adam: A Method for Stochastic Optimization

Reference 22

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Observation 25ed570d-eb36-4629-86e5-eab2672e0a65 · outbound

This paper cites Coopera- tive learning of audio and video models from self-supervised synchronization.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Coopera- tive learning of audio and video models from self-supervised synchronization

Reference 23

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Observation 7e2d25af-f34c-4a89-a12f-c1e661940c4b · outbound

This paper cites Li- darcap: Long-range marker-less 3d human motion capture with lidar point clouds.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Li- darcap: Long-range marker-less 3d human motion capture with lidar point clouds

Reference 24

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Observation 4fe86579-9172-4095-bf33-09a8c94ee86e · outbound

This paper cites UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning

Reference 25

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Observation 54d393a1-e991-40cc-ab2e-8a80705c9c40 · outbound

This paper cites Ai choreographer: Music conditioned 3d dance generation with aist++.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Ai choreographer: Music conditioned 3d dance generation with aist++

Reference 26

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Observation 388fb97f-ebb6-4315-825f-6ad44bcb4b56 · outbound

This paper cites Action recognition based on a bag of 3d points.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Action recognition based on a bag of 3d points

Reference 27

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Observation bdac9ea9-e02b-4498-bd4a-31645b9e196c · outbound

This paper cites En- hancing person identification for smart cities: Fusion of video surveillance and wearable device data based on ma- chine learning.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding En- hancing person identification for smart cities: Fusion of video surveillance and wearable device data based on ma- chine learning

Reference 28

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Observation 3bf09b9f-2b26-4fd8-8f42-fc999411e5ac · outbound

This paper cites Hm- pear: A dataset for human pose estimation and action recog- nition.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Hm- pear: A dataset for human pose estimation and action recog- nition

Reference 29

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Observation b1e4050d-2620-46ab-9ac8-77005921729c · outbound

This paper cites Ntu rgb+d 120: A large- scale benchmark for 3d human activity understanding.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Ntu rgb+d 120: A large- scale benchmark for 3d human activity understanding

Reference 30

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Observation 91aeb408-0e6d-46e5-ae50-4e735c24bf48 · outbound

This paper cites MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models

Reference 31

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Observation f4da2ec3-786e-4f47-8f54-f81a0472209b · outbound

This paper cites Meteor- net: Deep learning on dynamic 3d point cloud sequences.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Meteor- net: Deep learning on dynamic 3d point cloud sequences

Reference 32

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Observation 16919bed-1ad0-4da7-bdcb-1e94e247394d · outbound

This paper cites Leaf: Learning frames for 4d point cloud sequence un- derstanding.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Leaf: Learning frames for 4d point cloud sequence un- derstanding

Reference 33

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Observation f413bed6-0d9d-4763-b1d1-a7b08319a49c · outbound

This paper cites Smpl: A skinned multi- person linear model.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Smpl: A skinned multi- person linear model

Reference 34

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Observation c21cf3f7-0599-4ebe-8f74-984d17d7fc68 · outbound

This paper cites Cross- modal contrastive pre-training for few-shot skeleton action recognition.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Cross- modal contrastive pre-training for few-shot skeleton action recognition

Reference 35

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Observation bb8e5ad6-9ac2-410e-8aef-c2bcb568aa2c · outbound

This paper cites Troje, Ger- ard Pons-Moll, and Michael J.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Troje, Ger- ard Pons-Moll, and Michael J

Reference 36

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Observation 8b8092cf-8acc-49ed-8632-1824152f945e · outbound

This paper cites Who goes there? exploiting silhouettes and wearable signals for subject identification in multi-person environments.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Who goes there? exploiting silhouettes and wearable signals for subject identification in multi-person environments

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:13.304107Z

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Observation 29f9ce24-39da-409c-97a1-73e9032fb30b · outbound

This paper cites Person re-id by fusion of video silhouettes and wearable signals for home monitoring appli- cations.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Person re-id by fusion of video silhouettes and wearable signals for home monitoring appli- cations

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:13.110013Z

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Observation 855475b5-cd27-49f0-9b92-a31eebaa2e19 · outbound

This paper cites Imu2clip: Language-grounded motion sensor translation with multi- modal contrastive learning.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Imu2clip: Language-grounded motion sensor translation with multi- modal contrastive learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:12.931028Z

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Observation 182efc78-bb05-458e-8db7-3a73b936b476 · outbound

This paper cites Person tracking by fusing pos- ture data from uav video and wearable sensors.IEEE Sensors Journal, 22(24):24150–24160, 2022.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Person tracking by fusing pos- ture data from uav video and wearable sensors.IEEE Sensors Journal, 22(24):24150–24160, 2022

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:12.782062Z

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Observation e3cd2888-a3cf-4882-9be9-7adad9f8d7e4 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Representation Learning with Contrastive Predictive Coding

Reference 41

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Observation b53cc4b3-b2b0-49bd-aed4-1f0ceb62e16e · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding DINOv2: Learning Robust Visual Features without Supervision

Reference 42

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Observation 9843b6ac-3117-4951-a806-26c5c1cbb022 · outbound

This paper cites Action- conditioned 3d human motion synthesis with transformer vae.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Action- conditioned 3d human motion synthesis with transformer vae

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:12.636838Z

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Observation 802c7b84-a169-4247-9658-eda5b2b45bdd · outbound

This paper cites Tmr: Text-to-motion retrieval using contrastive 3d human motion synthesis.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Tmr: Text-to-motion retrieval using contrastive 3d human motion synthesis

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:12.496680Z

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Observation ce9d47ee-431b-47db-9214-643b9b00837a · outbound

This paper cites Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, and Michael J.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, and Michael J

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:12.378433Z

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Observation a41b6222-5da6-4c7d-b269-c6625e049938 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Learning transferable visual models from natural language supervi- sion

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:12.227504Z

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Observation 8fa55423-ef43-42f1-9917-3d543fd23bae · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding SAM 2: Segment Anything in Images and Videos

Reference 47

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Observation d287306d-e8d7-4160-97ca-6fb274da0f01 · outbound

This paper cites Lidar-aid inertial poser: Large-scale human motion capture by sparse inertial and lidar sensors.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Lidar-aid inertial poser: Large-scale human motion capture by sparse inertial and lidar sensors

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:12.055781Z

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 a3c33b8f-facc-4c9a-95b9-c42faf3019ed · outbound

This paper cites An overview of gradient descent optimization algorithms.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding An overview of gradient descent optimization algorithms

Reference 49

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Observation bda392e8-e92d-46ce-bff4-fdc1b1b5729c · outbound

This paper cites Ntu rgb+d: A large scale dataset for 3d human activity anal- ysis.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Ntu rgb+d: A large scale dataset for 3d human activity anal- ysis

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:11.902001Z

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 e957ef1f-3b81-4cb7-9d4a-2087db73a841 · outbound

This paper cites Masked spatio-temporal structure prediction for self- supervised learning on point cloud videos.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Masked spatio-temporal structure prediction for self- supervised learning on point cloud videos

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:11.723285Z

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 a768ba02-9176-40da-a329-7b51aa24e330 · outbound

This paper cites Pointcmp: Contrastive mask prediction for self-supervised learning on point cloud videos.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Pointcmp: Contrastive mask prediction for self-supervised learning on point cloud videos

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:11.546078Z

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 aabc64b4-3e2f-4c10-8889-a0d1f198a6ce · outbound

This paper cites Point contrastive predic- tion with semantic clustering for self-supervised learning on point cloud videos.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Point contrastive predic- tion with semantic clustering for self-supervised learning on point cloud videos

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:11.390322Z

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 a7dc5e15-7ce6-40fa-8bdb-470d57807ef2 · outbound

This paper cites Motionclip: Exposing human motion generation to clip space.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Motionclip: Exposing human motion generation to clip space

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:11.201864Z

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 8b5255a2-40d1-4526-9321-56307ca30e2b · outbound

This paper cites Total capture: 3d human pose estimation fusing video and inertial sensors.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Total capture: 3d human pose estimation fusing video and inertial sensors

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:10.965041Z

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 ed5b9829-d6a4-45e4-b75a-6f11d877449a · outbound

This paper cites Visualizing data using t-sne.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Visualizing data using t-sne

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:08.967112Z

Source-reported events for the cited work

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Observation 3ae3d5f4-37a7-423d-9517-1e5cab01630f · outbound

This paper cites Recovering accurate 3d human pose in the wild using imus and a moving camera.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Recovering accurate 3d human pose in the wild using imus and a moving camera

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:10.755122Z

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 05c0eb15-50a9-46b2-a542-faadb188872d · outbound

This paper cites Self-supervised 4d spatio-temporal feature learning via order prediction of sequential point cloud clips.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Self-supervised 4d spatio-temporal feature learning via order prediction of sequential point cloud clips

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:10.561759Z

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 b35cdd34-dac4-4469-8af1-3b6a596fbf6b · outbound

This paper cites Pvnext: Rethinking network design and temporal motion for point cloud video recognition.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Pvnext: Rethinking network design and temporal motion for point cloud video recognition

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:10.394401Z

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 7ba69fe9-0809-4a95-adb7-44735acaef33 · outbound

This paper cites Point primitive transformer for long-term 4d point cloud video understanding.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Point primitive transformer for long-term 4d point cloud video understanding

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:10.222205Z

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 7a512346-9433-45ec-94d8-7aefa1e106eb · outbound

This paper cites Human-centric scene understanding for 3d large-scale scenarios.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Human-centric scene understanding for 3d large-scale scenarios

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:10.028929Z

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 e0f74892-80a7-4148-9250-9907b255ed79 · outbound

This paper cites Mm-fi: Multi-modal non-intrusive 4d human dataset for versatile wireless sensing.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Mm-fi: Multi-modal non-intrusive 4d human dataset for versatile wireless sensing

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:09.866753Z

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 7dabb82c-ae7d-4ca4-a85a-3be905d6798f · outbound

This paper cites Tri- modal motion retrieval by learning a joint embedding space.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Tri- modal motion retrieval by learning a joint embedding space

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:09.692831Z

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 0b8af141-797f-4669-96ea-0936fe7809c4 · outbound

This paper cites Complete-to-partial 4d distillation for self-supervised point cloud sequence representation learning.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Complete-to-partial 4d distillation for self-supervised point cloud sequence representation learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:09.551420Z

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 4e4bc05d-e3ae-47e6-ba25-fcb4919286b6 · outbound

This paper cites No pain, big gain: clas- sify dynamic point cloud sequences with static models by fitting feature-level space-time surfaces.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding No pain, big gain: clas- sify dynamic point cloud sequences with static models by fitting feature-level space-time surfaces

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:09.461845Z

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 3b1d518f-c12d-44d7-b421-df5e920c5981 · outbound

This paper cites dataset/sequencecategory/posesequence poses.npz.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding dataset/sequencecategory/posesequence poses.npz

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:09.430191Z

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 becb311d-8192-47c7-a5bd-6d35bc762cb3 · outbound

This paper cites an unresolved cited work.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:31:09.402965Z

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 060f64db-90a9-471b-809c-b2cc8c3e5a01 · outbound

This paper cites an unresolved cited work.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:31:09.367406Z

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 efb3a3ce-382e-4079-9186-b321acf8b553 · outbound

This paper cites We ablate linear/non-linear probing and freezing or fine-tuning each model when train- ing for HAR on LIPD-Babel-v2.

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding We ablate linear/non-linear probing and freezing or fine-tuning each model when train- ing for HAR on LIPD-Babel-v2

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:09.291940Z

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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