SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving | Paper Citation Record

Observation 845415cf-7d0a-4bd3-b013-b34a7d745781 · outbound

This paper cites Efficient deep super-resolution of voxelized point cloud in geometry compression,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Efficient deep super-resolution of voxelized point cloud in geometry compression,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:42.478900Z

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 c9175827-12ce-411b-8323-ddce7453cf53 · outbound

This paper cites Farvnet: A fast and accurate range-view-based method for semantic segmentation of point clouds,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Farvnet: A fast and accurate range-view-based method for semantic segmentation of point clouds,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:42.328168Z

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 08ce12b0-7c49-49a1-9856-bca57fe6996d · outbound

This paper cites Subt-mrs dataset: Pushing slam towards all-weather environments,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Subt-mrs dataset: Pushing slam towards all-weather environments,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:42.177399Z

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 1177ead1-aba2-4486-bfdd-3655bfdec2fa · outbound

This paper cites A multi-source fusion system for through-wall radar compensation using lidar and slam-based 3d reconstruction,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving A multi-source fusion system for through-wall radar compensation using lidar and slam-based 3d reconstruction,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:41.845601Z

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 791aa4ce-d4da-4086-bc96-a6662fa02665 · outbound

This paper cites Tulip: Transformer for upsampling of lidar point clouds,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Tulip: Transformer for upsampling of lidar point clouds,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:41.529978Z

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 83801707-f521-4aa5-9b9e-984db09f4cc1 · outbound

This paper cites Srmamba: Mamba for super-resolution of lidar point clouds,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Srmamba: Mamba for super-resolution of lidar point clouds,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:41.237858Z

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 8b5a1107-b0d4-4392-91c0-0db8594345af · outbound

This paper cites Rangeldm: Fast realistic lidar point cloud generation,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Rangeldm: Fast realistic lidar point cloud generation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:41.038767Z

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 08a605b5-ed89-4974-a0d4-07bdbcae39b7 · outbound

This paper cites Simulation-based lidar super-resolution for ground vehicles,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Simulation-based lidar super-resolution for ground vehicles,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:40.866380Z

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 ac5218fa-cf5d-45bd-86d7-7b1deb2b8ffe · outbound

This paper cites Ligapu: A lidar point cloud upsampling network for multiple complex scenes,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Ligapu: A lidar point cloud upsampling network for multiple complex scenes,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:40.600893Z

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 22494ed3-7d7a-49e8-9103-a716bcc03433 · outbound

This paper cites Neural mecha- nisms of visual attention: How top-down feedback highlights relevant locations,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Neural mecha- nisms of visual attention: How top-down feedback highlights relevant locations,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:40.414322Z

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 a66fb8aa-89ef-41e0-9b32-5cc344477d56 · outbound

This paper cites Brain states: Top-down influences in sensory processing,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Brain states: Top-down influences in sensory processing,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:40.224960Z

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 1a280426-f27a-4d8e-9983-119665ff44a3 · outbound

This paper cites Smfanet: A lightweight self-modulation feature aggregation network for efficient image super- resolution,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Smfanet: A lightweight self-modulation feature aggregation network for efficient image super- resolution,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:40.025238Z

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 ea5d0c0c-5f58-4cc0-a504-970a36a7ef21 · outbound

This paper cites Learning to combine top-down and bottom- up signals in recurrent neural networks with attention over modules,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Learning to combine top-down and bottom- up signals in recurrent neural networks with attention over modules,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:39.863196Z

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 64de5c9a-da4d-494c-8103-ebdfc947e6dc · outbound

This paper cites Blend- mask: Top-down meets bottom-up for instance segmentation,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Blend- mask: Top-down meets bottom-up for instance segmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:39.699323Z

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 54e2d458-c3f5-4311-a8bb-d0dbf3fc7b3b · outbound

This paper cites Deep residual learning for image recognition,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Deep residual learning for image recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:39.534362Z

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 b94156ac-8467-4420-a68c-c944fcade220 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Fully convolutional networks for semantic segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:39.401339Z

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 d5357970-e516-4c40-bc4c-1cdc4c2561a3 · outbound

This paper cites Overlock: An overview-first-look-closely-next convnet with context-mixing dynamic kernels,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Overlock: An overview-first-look-closely-next convnet with context-mixing dynamic kernels,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:39.265016Z

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 3858c20f-ea2e-418e-b91d-2690804648bf · outbound

This paper cites Vmamba: Visual state space model,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Vmamba: Visual state space model,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:39.106686Z

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 34ddd566-b719-4a3c-99cd-1adf36c46d34 · outbound

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

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:38.953742Z

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 07a669ab-b8b7-452f-b8ef-e91152e72499 · outbound

This paper cites Point set surfaces,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Point set surfaces,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:38.784285Z

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 4addc958-1fc7-460f-8323-9a32a94c64b6 · outbound

This paper cites Robust moving least- squares fitting with sharp features,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Robust moving least- squares fitting with sharp features,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:38.590561Z

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 16924783-b524-489a-af5b-a45164221258 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:38.450759Z

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 6a6cad7f-8333-4814-ae9e-c9f64a252f88 · outbound

This paper cites Pointnet++: deep hierarchical feature learning on point sets in a metric space,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Pointnet++: deep hierarchical feature learning on point sets in a metric space,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:38.290488Z

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 6d8018e7-1d72-44c2-a96b-3dd1a6f4e168 · outbound

This paper cites Pu-dense: Sparse tensor-based point cloud geometry upsampling,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Pu-dense: Sparse tensor-based point cloud geometry upsampling,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:38.107052Z

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 0a0f40d6-3689-4825-ae20-2818087dc394 · outbound

This paper cites Pvt: An implicit surface reconstruc- tion framework via point voxel geometric-aware transformer,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Pvt: An implicit surface reconstruc- tion framework via point voxel geometric-aware transformer,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:37.883985Z

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 f0d4846c-118b-4b0e-8d41-a5031b276c2f · outbound

This paper cites A fast ground segmentation method of lidar point cloud from coarse-to-fine,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving A fast ground segmentation method of lidar point cloud from coarse-to-fine,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:37.740848Z

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 d2e99244-6b83-46a0-8d84-7b2ebed403a3 · outbound

This paper cites Rangelvdet: Boosting 3d object detection in lidar with range image and rgb image,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Rangelvdet: Boosting 3d object detection in lidar with range image and rgb image,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:37.596181Z

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 67ed439a-f3ca-4bd8-90c1-5406d10fbc9f · outbound

This paper cites Face mamba: A facial emotion analysis network based on vmamba*,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Face mamba: A facial emotion analysis network based on vmamba*,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:37.324145Z

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 cda00935-b9ee-47c3-a457-8f995c5b7f74 · outbound

This paper cites Hfifnet: Hierarchical feature interaction network with multiscale fusion for change detection,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Hfifnet: Hierarchical feature interaction network with multiscale fusion for change detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:37.066126Z

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 4a7c9817-5163-4cf8-ba52-9bfca9162be7 · outbound

This paper cites Intermamba: A visual-prompted interactive framework for dense object detection and annotation,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Intermamba: A visual-prompted interactive framework for dense object detection and annotation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:36.806316Z

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 333d0f30-c269-4578-937c-27fd281cd47d · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving U-net: Convolutional networks for biomedical image segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:36.600718Z

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 ea8c9e1c-9f2d-4408-9dbf-05ffa20452aa · outbound

This paper cites Segumamba: Integrating mamba with u net for medical image segmentation,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Segumamba: Integrating mamba with u net for medical image segmentation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:36.323456Z

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 b60dcf65-f37b-48c2-a707-f4ea9655b4bd · outbound

This paper cites Tmu: Transmission- enhanced mamba-unet for medical image segmentation,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Tmu: Transmission- enhanced mamba-unet for medical image segmentation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:36.030118Z

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 8edb3107-2645-4457-a50c-e056a913d818 · outbound

This paper cites Lightmamba-unet: Lightweight mamba with u-net for efficient skin lesion segmentation,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Lightmamba-unet: Lightweight mamba with u-net for efficient skin lesion segmentation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:35.811597Z

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 c88b4b29-140e-4e0d-9f62-a0babdb659e3 · outbound

This paper cites Mobilemamba: Lightweight multi-receptive visual mamba network,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Mobilemamba: Lightweight multi-receptive visual mamba network,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:35.630117Z

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 a3e99da0-4b2e-4205-a61e-d1ab8066b0e0 · outbound

This paper cites Localmamba: Visual state space model with windowed selective scan,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Localmamba: Visual state space model with windowed selective scan,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:35.483064Z

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 41039582-a002-4678-9518-23fc71282eb5 · outbound

This paper cites Mambavision: A hybrid mamba- transformer vision backbone,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Mambavision: A hybrid mamba- transformer vision backbone,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:35.286821Z

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 53bb770d-a349-4bef-a2bc-04c0dd287e3f · outbound

This paper cites Feature pyramid networks for object detection,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Feature pyramid networks for object detection,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:35.038741Z

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 1a083717-3d21-4bd7-898c-c6dc9ba52cba · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:34.859256Z

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 b97c5cfc-5408-447c-ac59-e4c89ef29045 · outbound

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

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving An image is worth 16x16 words: Trans- formers for image recognition at scale,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:33.247334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e3002b7-4ed2-44a1-ad75-4a93e98e50bf · outbound

This paper cites Multi-scale attention network for single image super-resolution,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Multi-scale attention network for single image super-resolution,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:34.629669Z

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 135fd97b-d62d-4b50-84e5-c89e3dad9eed · outbound

This paper cites Squeeze-and-excitation networks,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Squeeze-and-excitation networks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:34.444072Z

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 901e9f4c-3544-41c5-9659-b3e3c37a3b95 · outbound

This paper cites Kitti-360: A novel dataset and bench- marks for urban scene understanding in 2d and 3d,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Kitti-360: A novel dataset and bench- marks for urban scene understanding in 2d and 3d,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:34.283571Z

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 1801bd51-1fdf-4966-9113-55fa4746a8e2 · outbound

This paper cites Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:34.102255Z

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 2a355e30-47eb-4475-b382-2f99dd4d9bb1 · outbound

This paper cites CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:33.678962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b1b0921-242e-4a4a-af77-b738d4941a06 · outbound

This paper cites Swinir: Image restoration using swin transformer,.

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Swinir: Image restoration using swin transformer,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:51:33.928542Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers