Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation | Paper Citation Record

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This paper cites Vision-based navigation and guid- ance for agricultural autonomous vehicles and robots: A review.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Vision-based navigation and guid- ance for agricultural autonomous vehicles and robots: A review

Reference 1

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Observation 46485d63-9443-4c4b-8b42-2fd6964a1f83 · outbound

This paper cites Simple online and realtime tracking.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Simple online and realtime tracking

Reference 2

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This paper cites End-to- end object detection with transformers.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation End-to- end object detection with transformers

Reference 3

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This paper cites Counterfactual critic multi- agent training for scene graph generation.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Counterfactual critic multi- agent training for scene graph generation

Reference 4

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This paper cites Toward general cross-modal signal reconstruction for robotic teleop- eration.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Toward general cross-modal signal reconstruction for robotic teleop- eration

Reference 5

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This paper cites Masked-attention mask transformer for universal image segmentation.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Masked-attention mask transformer for universal image segmentation

Reference 6

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This paper cites Recovering the unbiased scene graphs from the biased ones.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Recovering the unbiased scene graphs from the biased ones

Reference 7

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This paper cites Nodis: Neural ordinary differential scene understanding.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Nodis: Neural ordinary differential scene understanding

Reference 8

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Observation 1a9eaca9-de0e-4d24-bd8d-ad16c7555960 · outbound

This paper cites Spatial-temporal trans- former for dynamic scene graph generation.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Spatial-temporal trans- former for dynamic scene graph generation

Reference 9

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Observation c07ccba5-f62c-479a-83a6-981c8ba695da · outbound

This paper cites Meva: A large-scale multiview, multimodal video dataset for activity detection.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Meva: A large-scale multiview, multimodal video dataset for activity detection

Reference 10

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Observation 4afc67cc-ffcf-4a38-8dc9-69c6c16a489d · outbound

This paper cites Scaling egocentric vision: The epic- kitchens dataset.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Scaling egocentric vision: The epic- kitchens dataset

Reference 11

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Observation 4e434981-b054-46af-88f1-e2ab4b02ebc9 · outbound

This paper cites Gabriellav2: Towards better generalization in surveillance videos for ac- tion detection.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Gabriellav2: Towards better generalization in surveillance videos for ac- tion detection

Reference 12

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Observation f7d61b2c-949d-4c2f-a682-a84d601df0a9 · outbound

This paper cites Exploiting long-term de- pendencies for generating dynamic scene graphs.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Exploiting long-term de- pendencies for generating dynamic scene graphs

Reference 13

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This paper cites Drg: Dual relation graph for human-object interaction detection.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Drg: Dual relation graph for human-object interaction detection

Reference 14

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This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Ego4d: Around the world in 3,000 hours of egocentric video

Reference 15

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Observation fa40edd0-9eb5-4391-be8f-8f9e43b24a07 · outbound

This paper cites Deep residual learning for image recognition.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Deep residual learning for image recognition

Reference 16

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Observation ad50d2e6-0d8d-4b0c-b1bf-d13642defef2 · outbound

This paper cites Detecting human-object interaction via fab- ricated compositional learning.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Detecting human-object interaction via fab- ricated compositional learning

Reference 17

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This paper cites Discovering human-object interaction concepts via self-compositional learning.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Discovering human-object interaction concepts via self-compositional learning

Reference 18

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This paper cites Dds: Decoupled dynamic scene-graph generation network.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Dds: Decoupled dynamic scene-graph generation network

Reference 19

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Observation f0609b0a-ae6c-4e43-a9bf-7fe7f46bd28b · outbound

This paper cites Decoupled weight decay regularization.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Decoupled weight decay regularization

Reference 20

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Observation ccd0b3c5-9c6f-4db3-938e-8394433e950b · outbound

This paper cites Action genome: Actions as compositions of spatio- temporal scene graphs.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Action genome: Actions as compositions of spatio- temporal scene graphs

Reference 21

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Observation 6412021c-a734-4991-a90c-48e7ce1eceb4 · outbound

This paper cites Detect- ing human-object relationships in videos.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Detect- ing human-object relationships in videos

Reference 22

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Observation 926a281a-b670-4ae2-8520-831bbc620cb8 · outbound

This paper cites Image retrieval using scene graphs.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Image retrieval using scene graphs

Reference 23

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This paper cites Iterative scene graph generation.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Iterative scene graph generation

Reference 24

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This paper cites Learning by tracking: Siamese cnn for robust tar- get association.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Learning by tracking: Siamese cnn for robust tar- get association

Reference 25

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This paper cites Video k-net: A simple, strong, and unified baseline for video segmentation.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Video k-net: A simple, strong, and unified baseline for video segmentation

Reference 26

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This paper cites Dynamic scene graph generation via anticipatory pre-training.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Dynamic scene graph generation via anticipatory pre-training

Reference 27

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This paper cites Transferable interactiveness knowledge for human-object interaction de- tection.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Transferable interactiveness knowledge for human-object interaction de- tection

Reference 28

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This paper cites Microsoft coco: Common objects in context.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Microsoft coco: Common objects in context

Reference 29

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This paper cites TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation

Reference 30

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Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Unresolved cited work

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This paper cites Ampli- fying key cues for human-object-interaction detection.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Ampli- fying key cues for human-object-interaction detection

Reference 32

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This paper cites Prior knowledge-driven dy- namic scene graph generation with causal inference.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Prior knowledge-driven dy- namic scene graph generation with causal inference

Reference 33

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This paper cites Context-aware scene graph generation with seq2seq transformers.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Context-aware scene graph generation with seq2seq transformers

Reference 34

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Observation c48b1e1d-6c00-4bcb-ae66-c9d009c7fdd4 · outbound

This paper cites Trackformer: Multi-object track- ing with transformers.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Trackformer: Multi-object track- ing with transformers

Reference 35

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This paper cites Roy- Chowdhury.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Roy- Chowdhury

Reference 36

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This paper cites Motion-aware contrastive learning for temporal panoptic scene graph gen- eration.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Motion-aware contrastive learning for temporal panoptic scene graph gen- eration

Reference 37

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This paper cites Computer vision-based hand gesture recognition for human-robot in- teraction: a review.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Computer vision-based hand gesture recognition for human-robot in- teraction: a review

Reference 38

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This paper cites BLoad: Enhancing Neural Network Training with Efficient Sequential Data Handling.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation BLoad: Enhancing Neural Network Training with Efficient Sequential Data Handling

Reference 39

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This paper cites Deep network flow for multi-object track- ing.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Deep network flow for multi-object track- ing

Reference 40

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Observation 34aa9751-fa9c-43a5-8401-8b26920c73a7 · outbound

This paper cites Annotating objects and relations in user- generated videos.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Annotating objects and relations in user- generated videos

Reference 41

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This paper cites Eye tracking assisted extraction of attentionally important objects from videos.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Eye tracking assisted extraction of attentionally important objects from videos

Reference 42

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This paper cites A simple baseline for weakly-supervised scene graph gener- ation.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation A simple baseline for weakly-supervised scene graph gener- ation

Reference 43

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Observation 6620a0b5-89c5-4942-b629-5d7e85837e0b · outbound

This paper cites Hollywood in homes: Crowdsourcing data collection for activity under- standing.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Hollywood in homes: Crowdsourcing data collection for activity under- standing

Reference 44

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This paper cites TransTrack: Multiple Object Tracking with Transformer.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation TransTrack: Multiple Object Tracking with Transformer

Reference 45

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This paper cites Learning to compose dynamic tree structures for visual contexts.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Learning to compose dynamic tree structures for visual contexts

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This paper cites Tar- get adaptive context aggregation for video scene graph gen- eration.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Tar- get adaptive context aggregation for video scene graph gen- eration

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:09:42.472030Z

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This paper cites Vsgnet: Spatial attention network for detecting human ob- ject interactions using graph convolutions.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Vsgnet: Spatial attention network for detecting human ob- ject interactions using graph convolutions

Reference 48

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Observation c1569c7f-2c3e-4c09-9b17-ae0f41a50e6a · outbound

This paper cites Pose-aware multi-level feature network for human ob- ject interaction detection.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Pose-aware multi-level feature network for human ob- ject interaction detection

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:09:42.408423Z

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This paper cites Oed: Towards one-stage end-to-end dynamic scene graph genera- tion.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Oed: Towards one-stage end-to-end dynamic scene graph genera- tion

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:09:42.373778Z

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Observation e47996a6-70c3-47ed-bf96-0a8701eb0863 · outbound

This paper cites Learning transferable human-object interaction detector with natural language su- pervision.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Learning transferable human-object interaction detector with natural language su- pervision

Reference 51

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Observation ce3c3efa-bc3c-4488-9d83-61697dd0c63a · outbound

This paper cites Dynamic scene graph generation via temporal prior inference.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Dynamic scene graph generation via temporal prior inference

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:09:42.305258Z

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Observation 46142974-21cc-45cb-bdc7-2efa8ce0af5a · outbound

This paper cites Deep contextual attention for human- object interaction detection.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Deep contextual attention for human- object interaction detection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:09:42.275140Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ede0d66-efcc-458e-b82c-8bbbb56fd84d · outbound

This paper cites Exploring context and visual pattern of relationship for scene graph generation.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Exploring context and visual pattern of relationship for scene graph generation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:09:42.229984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 49b8fb5e-59a5-4c94-825d-9cb72ea91e15 · outbound

This paper cites Topic scene graph generation by attention distillation from caption.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Topic scene graph generation by attention distillation from caption

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:09:42.172322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c4f339c1-aebb-4f11-807c-4f93b2d32ac1 · outbound

This paper cites Do different track- ing tasks require different appearance models? Advances in Neural Information Processing Systems, 34:726–738, 2021.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Do different track- ing tasks require different appearance models? Advances in Neural Information Processing Systems, 34:726–738, 2021

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:09:42.141184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3fc6c5de-0379-48ea-b39b-e5208a546282 · outbound

This paper cites An introduction to the kalman filter.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation An introduction to the kalman filter

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:09:42.102293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a9b4f18-235b-4dd7-bf2b-c550553f5374 · outbound

This paper cites Simple online and realtime tracking with a deep association metric.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Simple online and realtime tracking with a deep association metric

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T23:09:41.567731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b991d5a-a59d-461b-af3c-6a148cb8cc49 · outbound

This paper cites Panoptic video scene graph generation.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Panoptic video scene graph generation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:09:42.036695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6cac7713-0143-4e63-9184-facf1bc30148 · outbound

This paper cites Motr: End-to-end multiple- object tracking with transformer.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Motr: End-to-end multiple- object tracking with transformer

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:09:42.019362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 215bbe8f-e29a-4b27-a449-3d02dc4d311e · outbound

This paper cites Graphical contrastive losses for scene graph parsing.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Graphical contrastive losses for scene graph parsing

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:09:41.992693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 89bf29af-37d6-406e-8c26-8bb14ac0aed9 · outbound

This paper cites End-to-end video scene graph gener- ation with temporal propagation transformer.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation End-to-end video scene graph gener- ation with temporal propagation transformer

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:09:41.948571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 10f8a9c8-a178-462b-a148-76fd13e933ee · outbound

This paper cites Object track- ing using sift features and mean shift.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Object track- ing using sift features and mean shift

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:09:41.906220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f5c4380b-7cb1-4c6a-a1f6-fd0802a923cf · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T23:09:41.633345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87335e20-a6ff-4855-848a-4ea8a996b4a5 · outbound

This paper cites 1, 2, 3, 6.

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation 1, 2, 3, 6

Reference 9680

Resolution: parse uncertain; raw_fallback, observed 2026-08-11T23:09:43.380836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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