SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning | Paper Citation Record

Observation e6c1f154-424c-4e6e-8c97-0885f4d72d77 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:13.558538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5cbe5f6-98ba-4344-ab0f-838db8bbb4c1 · outbound

This paper cites Hico: A benchmark for recognizing human-object interactions in images.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Hico: A benchmark for recognizing human-object interactions in images

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.438037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 005633a3-85e2-4f05-9326-f3d7e62cff7a · outbound

This paper cites Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.424545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1be1c4b7-8b93-4eb6-8d1f-1496ce0c38d8 · outbound

This paper cites Expanding scene graph boundaries: fully open-vocabulary scene graph generation via visual-concept alignment and retention.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Expanding scene graph boundaries: fully open-vocabulary scene graph generation via visual-concept alignment and retention

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.411541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fcc6fb54-c3fd-4be6-8248-ccb32eaadad3 · outbound

This paper cites Spatial- rgpt: Grounded spatial reasoning in vision-language mod- els.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Spatial- rgpt: Grounded spatial reasoning in vision-language mod- els

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.398275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4eb96ac1-1921-4d84-9f32-c7d91bdfb551 · outbound

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

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Masked-attention mask transformer for universal image segmentation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.384940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dcd6c2bc-d51c-4c24-9184-d58110c75fd2 · outbound

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

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Recovering the unbiased scene graphs from the biased ones

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.371152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15167482-b84b-4d8e-85d4-87a7163c1d0b · outbound

This paper cites Reltr: Relation transformer for scene graph generation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(9):11169–11183, 2023.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Reltr: Relation transformer for scene graph generation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(9):11169–11183, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.358031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 170c9556-717f-43f7-9b4a-3e42ebe5f63b · outbound

This paper cites De- coupling zero-shot semantic segmentation.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning De- coupling zero-shot semantic segmentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.344306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ee591b2-59ea-4bf1-b39c-3338f986638d · outbound

This paper cites Concept sliders: Lora adaptors for precise control in diffusion models.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Concept sliders: Lora adaptors for precise control in diffusion models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.330702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0844e64d-0997-4aee-84f6-eafa729a12c5 · outbound

This paper cites ican: Instance- centric attention network for human-object interaction detec- tion.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning ican: Instance- centric attention network for human-object interaction detec- tion

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.316366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38bedc89-6f44-488e-9072-617542aaa39a · outbound

This paper cites Open-vocabulary object detection via vision and language knowledge distillation.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Open-vocabulary object detection via vision and language knowledge distillation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.302822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a89acf0-82f2-42ad-bbd9-b33ea4c630ae · outbound

This paper cites Dsgg: Dense relation transformer for an end-to-end scene graph generation.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Dsgg: Dense relation transformer for an end-to-end scene graph generation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.289314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce04be5c-e975-4890-9ee2-b5cd047c104a · outbound

This paper cites Learning from the scene and borrowing from the rich: tackling the long tail in scene graph generation.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Learning from the scene and borrowing from the rich: tackling the long tail in scene graph generation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.275295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d319bbd3-3677-4553-bfeb-b1b40f6c5861 · outbound

This paper cites Semantic Compositional Learning for Low-shot Scene Graph Generation.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Semantic Compositional Learning for Low-shot Scene Graph Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:14.982119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df8ae0da-2210-4c84-bacf-2e746426e7f9 · outbound

This paper cites Ex- ploiting scene graphs for human-object interaction detection.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Ex- ploiting scene graphs for human-object interaction detection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.260984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5d1dcdcb-0adf-417e-9c2f-a059f2ca0c83 · outbound

This paper cites To- wards open-vocabulary scene graph generation with prompt- based finetuning.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning To- wards open-vocabulary scene graph generation with prompt- based finetuning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.246648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b82d42b7-4d1e-43f6-a206-0a28444edef6 · outbound

This paper cites To- ward a unified transformer-based framework for scene graph generation and human-object interaction detection.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning To- ward a unified transformer-based framework for scene graph generation and human-object interaction detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.231947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06435c4a-dfbd-4a64-b90e-c4636381af1a · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.216462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation da90bef4-3968-4ad9-87c7-bd06190c5f16 · outbound

This paper cites Egtr: Extracting graph from trans- former for scene graph generation.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Egtr: Extracting graph from trans- former for scene graph generation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.201664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 37443cb2-411b-4f47-ad8f-a629003eb7e4 · outbound

This paper cites Zero-shot scene graph relation prediction through commonsense knowledge inte- gration.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Zero-shot scene graph relation prediction through commonsense knowledge inte- gration

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.185701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9dd773e6-a11b-4497-bf4a-7a5cf6b03f21 · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Imagic: Text-based real image editing with diffusion models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.171509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68dc0939-d405-42e9-8f93-6b34c55aace4 · outbound

This paper cites Text-image align- ment for diffusion-based perception.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Text-image align- ment for diffusion-based perception

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.156666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be956cd2-2ca7-478d-b0fc-fc2c0d07aadc · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Visual genome: Connecting language and vision using crowdsourced dense image annotations

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.143198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fe5635cc-04e6-4064-8929-226ff622c790 · outbound

This paper cites Topviewrs: Vision-language models as top-view spatial reasoners.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Topviewrs: Vision-language models as top-view spatial reasoners

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.128466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f046e346-5bd2-492f-a536-fe5dc20f3de0 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:15.028859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eae83f39-788f-492c-8ddc-98fabd4a1e67 · outbound

This paper cites Panoptic scene graph genera- tion with semantics-prototype learning.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Panoptic scene graph genera- tion with semantics-prototype learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.103340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0ffe0184-9e90-4a6e-a8ee-f0e8476d4c99 · outbound

This paper cites Grounded language-image pre-training.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Grounded language-image pre-training

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:15.042930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aac3644-1b55-4285-a068-f9eb0300f70c · outbound

This paper cites Sgtr: End- to-end scene graph generation with transformer.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Sgtr: End- to-end scene graph generation with transformer

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.078982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1ef41c09-9691-4db3-adff-23682b389116 · outbound

This paper cites From pixels to graphs: Open-vocabulary scene graph generation with vision-language models.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning From pixels to graphs: Open-vocabulary scene graph generation with vision-language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.064671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e1b958a-2675-4c82-a32e-ad75ea3a3ff0 · outbound

This paper cites Open-vocabulary object segmentation with diffusion models.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Open-vocabulary object segmentation with diffusion models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.048713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6925a11-3925-4f35-ae00-d18804f114b3 · outbound

This paper cites Gps-net: Graph property sensing network for scene graph generation.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Gps-net: Graph property sensing network for scene graph generation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.033751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce718288-c061-4752-8133-902602392a31 · outbound

This paper cites Path aggregation network for instance segmentation.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Path aggregation network for instance segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.018071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 83209c0b-e7ef-4d13-9d91-7ab56c820be4 · outbound

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

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Swin transformer: Hierarchical vision transformer using shifted windows

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:16.002750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0a26314b-c230-407e-a187-3ede07ed7e14 · outbound

This paper cites Attending to graph transformers.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Attending to graph transformers

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.987147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 072be47a-50cb-41f5-add7-b45233eaab1a · outbound

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

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Learning transferable visual models from natural language supervi- sion

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:15.078590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31b5836a-ae14-47c3-86f5-45832505cff6 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.961046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14c277fa-c002-4bdd-9e0c-ab4717562e21 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning High-resolution image syn- thesis with latent diffusion models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.946551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff1c0245-ef91-4394-9584-336d8bd4d49f · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Photorealistic text-to-image diffusion models with deep language understanding

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:15.090727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 896e1bdb-a13f-4142-87fc-23a9935d0ea6 · outbound

This paper cites Self- attention with relative position representations.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Self- attention with relative position representations

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.921672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a164fb9f-4311-48e9-8676-66e56d22f493 · outbound

This paper cites Graph trans- formers: A survey.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Graph trans- formers: A survey

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:15.098711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0bc5543-965e-46f5-b57c-361a5a8dff09 · outbound

This paper cites An empirical analysis on spatial reason- ing capabilities of large multimodal models.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning An empirical analysis on spatial reason- ing capabilities of large multimodal models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.907113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f309fc31-829f-438e-9785-bfed2adc4990 · outbound

This paper cites Continual dif- fusion: Continual customization of text-to-image diffusion with c-lora.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Continual dif- fusion: Continual customization of text-to-image diffusion with c-lora

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.892282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 232d6aea-8873-41e9-aa17-615ad04896b7 · outbound

This paper cites Denois- ing diffusion implicit models.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Denois- ing diffusion implicit models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.877820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c8929f1b-89a5-4b9a-86aa-4305bfdb4187 · outbound

This paper cites Transformer-based image generation from scene graphs.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Transformer-based image generation from scene graphs

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.863788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3bfc6777-82d2-4515-943e-4e90e990b2d6 · outbound

This paper cites Reclip: A strong zero-shot baseline for referring expression compre- hension.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Reclip: A strong zero-shot baseline for referring expression compre- hension

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.848480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5f93c6bd-4c6c-46dc-823f-ce3185f399f0 · outbound

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

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Learning to compose dynamic tree structures for visual contexts

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.832992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 239300a6-bd98-44e7-b7ad-464e469cb0f3 · outbound

This paper cites Structured sparse r-cnn for di- rect scene graph generation.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Structured sparse r-cnn for di- rect scene graph generation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.819616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b16ec409-dbd3-43e7-807f-94325e226eb2 · outbound

This paper cites Belm: Bidirec- tional explicit linear multi-step sampler for exact inversion in diffusion models.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Belm: Bidirec- tional explicit linear multi-step sampler for exact inversion in diffusion models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.805997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8cac48ea-bfeb-4125-9511-1ac332747907 · outbound

This paper cites Pair then relation: Pair-net for panoptic scene graph generation.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Pair then relation: Pair-net for panoptic scene graph generation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.792970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7559965b-bac0-4096-96c5-ede4733a6a10 · outbound

This paper cites Stylediffusion: Controllable disentangled style transfer via diffusion models.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Stylediffusion: Controllable disentangled style transfer via diffusion models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.676472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation daa59dd5-6b14-4a9e-a843-504e35d0e036 · outbound

This paper cites Chief: Clustering with higher-order motifs in big networks.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Chief: Clustering with higher-order motifs in big networks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.661663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1421948d-c5ef-4e45-a35a-bbe581f6e78c · outbound

This paper cites Scene graph generation by iterative message passing.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Scene graph generation by iterative message passing

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.648602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 84bbab9b-e4b5-4ad6-83d1-aeebe41eb33e · outbound

This paper cites Scene graph generation by iterative message passing.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Scene graph generation by iterative message passing

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.634811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 927e7fc5-ca20-4a45-9c83-0bf07213b29c · outbound

This paper cites Open-vocabulary panop- tic segmentation with text-to-image diffusion models.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Open-vocabulary panop- tic segmentation with text-to-image diffusion models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.622102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1fc9baeb-56e2-4b10-a947-0abcfd5dacb1 · outbound

This paper cites Panoptic scene graph gen- eration.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Panoptic scene graph gen- eration

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.608251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 902a1e79-b8af-4af6-a343-ea9534ce3109 · outbound

This paper cites Open-world human-object interaction detection via multi-modal prompts.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Open-world human-object interaction detection via multi-modal prompts

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.594901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e4df6da-59e2-4c70-822f-4c0ff33ff213 · outbound

This paper cites Visually-prompted language model for fine-grained scene graph generation in an open world.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Visually-prompted language model for fine-grained scene graph generation in an open world

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.581445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5d939c45-932a-4792-8759-bff0009cda44 · outbound

This paper cites Zero-shot scene graph generation with knowledge graph completion.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Zero-shot scene graph generation with knowledge graph completion

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.567311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e7f760f-991e-459f-a5ae-6cb1bcb1b281 · outbound

This paper cites Graph transformer networks.Advances in neural information processing systems, 32, 2019.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Graph transformer networks.Advances in neural information processing systems, 32, 2019

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.553469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b8c6cdae-8449-497f-8302-9afb75958538 · outbound

This paper cites Open-vocabulary object detection using captions.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Open-vocabulary object detection using captions

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.538385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7bd12bce-0612-4ee6-b087-e9c50ff3e267 · outbound

This paper cites Neural motifs: Scene graph parsing with global con- text.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Neural motifs: Scene graph parsing with global con- text

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.521912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f2a338ee-7e70-421c-a661-584e46f95458 · outbound

This paper cites gddim: Generalized denoising diffusion implicit models.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning gddim: Generalized denoising diffusion implicit models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.505750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be0ccd3e-d26a-45eb-84df-4c2e1e4a53dd · outbound

This paper cites Learning to generate language- supervised and open-vocabulary scene graph using pre- trained visual-semantic space.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Learning to generate language- supervised and open-vocabulary scene graph using pre- trained visual-semantic space

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.489519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b940a59-c365-4b65-bdc2-ffacc8599fe2 · outbound

This paper cites Unleashing text-to-image diffusion models for visual perception.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Unleashing text-to-image diffusion models for visual perception

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.474522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51a6b8dd-58f2-443a-a97b-7e8724537c58 · outbound

This paper cites Prototype-based embedding network for scene graph generation.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Prototype-based embedding network for scene graph generation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.460294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5879cd9c-68e7-451a-b7cb-4855e7770920 · outbound

This paper cites Hilo: Ex- ploiting high low frequency relations for unbiased panoptic scene graph generation.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Hilo: Ex- ploiting high low frequency relations for unbiased panoptic scene graph generation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.446010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c075dfd0-34e4-4bf1-99c0-0b6cf64573f2 · outbound

This paper cites Openpsg: Open-set panoptic scene graph generation via large multimodal models.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning Openpsg: Open-set panoptic scene graph generation via large multimodal models

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:15.431443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers