Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:09:05.931316Z
Paper Citation Record · LEDGER
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective
As of 17 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2507.19738.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
65 of 65 outbound references displayed
- verified exact0
- verified fuzzy60
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation eedb7a0c-5c0c-4737-8c96-734f411252ca · outbound
This paper cites Raft-stereo: Multilevel recurrent field transforms for stereo matching.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Raft-stereo: Multilevel recurrent field transforms for stereo matching
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:12.070695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ab17bd5d-1e91-4044-ac48-123533526d37 · outbound
This paper cites Iterative geometry encoding volume for stereo matching.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Iterative geometry encoding volume for stereo matching
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:12.057732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bf4e031c-2a5e-4955-a055-dfc89d1ffb9c · outbound
This paper cites Selective-stereo: Adaptive frequency information selection for stereo matching.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Selective-stereo: Adaptive frequency information selection for stereo matching
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:12.043314Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 54b3ad6d-e2d1-47e5-850c-e7fa026c49ab · outbound
This paper cites Practical stereo matching via cascaded recurrent network with adaptive correlation.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Practical stereo matching via cascaded recurrent network with adaptive correlation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:12.027125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f47be03f-eff0-4c34-b195-58a6f1635b52 · outbound
This paper cites Pyramid stereo matching network.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Pyramid stereo matching network
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:12.012001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3dc30664-3c81-44cd-9e72-749c54fa4af5 · outbound
This paper cites End-to-end learning of geometry and context for deep stereo regression.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective End-to-end learning of geometry and context for deep stereo regression
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.997963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 69c81824-7a2f-4609-90e5-bac1e8fbfb7e · outbound
This paper cites Hierarchical deep stereo matching on high-resolution images.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Hierarchical deep stereo matching on high-resolution images
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.984310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a75cc4cb-edad-438f-9036-33acb1710112 · outbound
This paper cites Revisiting stereo depth estimation from a sequence-to-sequence perspective with transformers.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Revisiting stereo depth estimation from a sequence-to-sequence perspective with transformers
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.970475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5eeb1847-9443-4b2a-9d41-ba442a204ca0 · outbound
This paper cites Context-enhanced stereo transformer.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Context-enhanced stereo transformer
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.957062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4ae9ba4a-8200-493d-bddc-c192b658d25d · outbound
This paper cites V olumetric propagation network: Stereo-lidar fusion for long-range depth estimation.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective V olumetric propagation network: Stereo-lidar fusion for long-range depth estimation
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.943490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 444bfacf-3943-46c9-90ea-0c2ce5dc0a32 · outbound
This paper cites Expanding sparse lidar depth and guiding stereo matching for robust dense depth estimation.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Expanding sparse lidar depth and guiding stereo matching for robust dense depth estimation
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.929440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d7f561fe-57f5-4e7b-ade5-26ec47155119 · outbound
This paper cites Stereo-lidar depth estimation with deformable propagation and learned disparity-depth conversion.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Stereo-lidar depth estimation with deformable propagation and learned disparity-depth conversion
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.915721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2f1b3adb-76aa-486f-9c90-284604ffb3e9 · outbound
This paper cites Sparse lidar assisted self-supervised stereo disparity estimation.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Sparse lidar assisted self-supervised stereo disparity estimation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.902108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ed7184d3-36d7-43e2-bcc3-6c57029a182f · outbound
This paper cites Sparsity invariant cnns.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Sparsity invariant cnns
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.887776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e728cec1-0ea6-4ac4-b817-703235d3eb4c · outbound
This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Are we ready for autonomous driving? the kitti vision benchmark suite
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.873645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9af90f94-8e21-4dcd-ac5d-200e5681160c · outbound
This paper cites In defense of classical image processing: Fast depth completion on the cpu.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective In defense of classical image processing: Fast depth completion on the cpu
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.859276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2fd6d83c-c0e5-4fea-ba72-8e077f908dec · outbound
This paper cites Virtual KITTI 2.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Virtual KITTI 2
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:09:02.531206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6170da3-e71a-49a7-ae48-8eb6c7afb925 · outbound
This paper cites Deep depth estimation from thermal image.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Deep depth estimation from thermal image
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.845992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8cdde0ad-efb8-4336-94a8-3acfa38c7c78 · outbound
This paper cites Non-parametric local transforms for computing visual corre- spondence.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Non-parametric local transforms for computing visual corre- spondence
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.831585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ab14bbce-0537-4a36-97d7-7c7f8a108716 · outbound
This paper cites A constant-space belief propagation algorithm for stereo matching.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective A constant-space belief propagation algorithm for stereo matching
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.818242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 321ce29c-3f3a-4e25-94f8-71bbd431232b · outbound
This paper cites Stereo correspondence by dynamic programming on a tree.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Stereo correspondence by dynamic programming on a tree
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.805045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 08d18773-a336-4650-991d-f4f3afd0decc · outbound
This paper cites Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion han- dling.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion han- dling
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.791366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bc5d2484-2f3b-4350-987d-c7faca390bea · outbound
This paper cites Stereo processing by semiglobal matching and mutual information.TPAMI, 2007.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Stereo processing by semiglobal matching and mutual information.TPAMI, 2007
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.776850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b1efbb14-ca9c-4a07-a22d-22a9734fc1af · outbound
This paper cites Nerf-supervised deep stereo.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Nerf-supervised deep stereo
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.763464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f6dfee1f-7e00-4c35-a3d3-ef72e0cf9db5 · outbound
This paper cites Domain generalized stereo matching via hierarchical visual transformation.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Domain generalized stereo matching via hierarchical visual transformation
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.750128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c213c267-945d-4b1e-bc57-db6c72428f83 · outbound
This paper cites Croco v2: Improved cross-view completion pre-training for stereo matching and optical flow.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Croco v2: Improved cross-view completion pre-training for stereo matching and optical flow
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.736159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 10a91afb-d89b-4f27-ba5a-6ff7ce5ea3a5 · outbound
This paper cites Graftnet: Towards domain generalized stereo matching with a broad-spectrum and task-oriented feature.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Graftnet: Towards domain generalized stereo matching with a broad-spectrum and task-oriented feature
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.722285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 25c42e6a-37e1-49fc-b38e-790f78469271 · outbound
This paper cites Uncertainty guided adaptive warping for robust and efficient stereo matching.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Uncertainty guided adaptive warping for robust and efficient stereo matching
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.707918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0e1f43d7-c204-42f5-b180-1a5491880b19 · outbound
This paper cites Dps-net: Deep polarimetric stereo depth estimation.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Dps-net: Deep polarimetric stereo depth estimation
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.595860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 46e41f91-9719-4d90-ba13-5f771519e3f1 · outbound
This paper cites Federated online adaptation for deep stereo.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Federated online adaptation for deep stereo
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.252788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d33c7a81-699e-4df4-829d-8812271f4e32 · outbound
This paper cites Accurate and efficient stereo matching via attention concatenation volume.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Accurate and efficient stereo matching via attention concatenation volume
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:11.042042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a2ed7afd-a7ae-4daf-babb-b5c392fd0ba7 · outbound
This paper cites Active stereo without pattern projector.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Active stereo without pattern projector
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:10.815080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 974da2e6-5bbd-4193-9eeb-d1be073aee39 · outbound
This paper cites Neural markov random field for stereo matching.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Neural markov random field for stereo matching
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:10.556122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d720fbfe-5403-4781-b7eb-d2b45395cb84 · outbound
This paper cites OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:09:03.730703Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33b2cd91-dc50-4d94-ab42-344ec6c00453 · outbound
This paper cites Segstereo: Exploiting semantic information for disparity estimation.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Segstereo: Exploiting semantic information for disparity estimation
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:10.367163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5747e4cb-dff8-411d-8444-dfc73ffff714 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective An image is worth 16x16 words: Transformers for image recognition at scale
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:09:03.855630Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a83b0c42-ea4c-452a-8da4-551056076649 · outbound
This paper cites High-frequency stereo matching network.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective High-frequency stereo matching network
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:10.207233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4f47571e-366b-4540-84bb-47f74998a7df · outbound
This paper cites Eai-stereo: Error aware iterative network for stereo matching.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Eai-stereo: Error aware iterative network for stereo matching
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:10.027503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 096b2990-35ba-4cc2-859d-dacb5e89abb9 · outbound
This paper cites Parameterized cost volume for stereo matching.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Parameterized cost volume for stereo matching
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:09.824671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 474a5764-774f-4f8c-a56b-7340830829d3 · outbound
This paper cites Raft: Recurrent all-pairs field transforms for optical flow.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Raft: Recurrent all-pairs field transforms for optical flow
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:09:04.145855Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b43093ab-174d-4b84-b3f1-57be32d44a46 · outbound
This paper cites Noise-aware unsupervised deep lidar-stereo fusion.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Noise-aware unsupervised deep lidar-stereo fusion
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:09.630815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3aa3e6df-a4bb-40a1-ac04-b130dd63878c · outbound
This paper cites Sparse lidar and stereo fusion (sls-fusion) for depth estimation and 3d object detection.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Sparse lidar and stereo fusion (sls-fusion) for depth estimation and 3d object detection
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:09.452109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e7c2e330-1455-417c-947b-abc64b193d46 · outbound
This paper cites 3d lidar and stereo fusion using stereo matching network with conditional cost volume normalization.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective 3d lidar and stereo fusion using stereo matching network with conditional cost volume normalization
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:09.262802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7ec346ca-46d0-4ab9-8518-193a1c391420 · outbound
This paper cites Slfnet: A stereo and lidar fusion network for depth completion.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Slfnet: A stereo and lidar fusion network for depth completion
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:09.100587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7412f90a-36f8-471e-9c47-dcf3adb22917 · outbound
This paper cites Expansion of visual hints for improved generalization in stereo matching.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Expansion of visual hints for improved generalization in stereo matching
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:08.915167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bf16d228-7fe6-42e3-aed9-316fc38da9c9 · outbound
This paper cites Guided stereo matching.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Guided stereo matching
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:08.776786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 66c72b51-d282-4079-a65a-55b25dae757d · outbound
This paper cites S3: Learnable sparse signal superdensity for guided depth estimation.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective S3: Learnable sparse signal superdensity for guided depth estimation
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:08.626045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 954dca2b-828e-44eb-8273-7b9b41b76c40 · outbound
This paper cites High-precision depth estimation with the 3d lidar and stereo fusion.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective High-precision depth estimation with the 3d lidar and stereo fusion
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:08.465262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b55e1700-be96-48fd-aa48-aa754820aaa1 · outbound
This paper cites Listereo: Generate dense depth maps from lidar and stereo imagery.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Listereo: Generate dense depth maps from lidar and stereo imagery
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:08.309000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 08cc41b4-475f-4a17-9780-614fd6aca674 · outbound
This paper cites Dfusenet: Deep fusion of rgb and sparse depth information for image guided dense depth completion.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Dfusenet: Deep fusion of rgb and sparse depth information for image guided dense depth completion
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:08.147250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3aec04e8-bd5f-40e4-89b7-3c2d5f69cbf9 · outbound
This paper cites Deeplidar: Deep surface normal guided depth prediction for outdoor scene from sparse lidar data and single color image.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Deeplidar: Deep surface normal guided depth prediction for outdoor scene from sparse lidar data and single color image
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:08.009942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 74145847-0e77-42bd-8f11-c849ac93b733 · outbound
This paper cites Penet: Towards precise and efficient image guided depth completion.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Penet: Towards precise and efficient image guided depth completion
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:07.851081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ff337232-b607-4217-bba2-d4e03a55eb69 · outbound
This paper cites Learning guided convolutional network for depth completion.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Learning guided convolutional network for depth completion
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:07.688458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1f36e94b-65bf-4c69-b4ed-1000e4a1b3c6 · outbound
This paper cites Mff-net: Towards efficient monocular depth completion with multi-modal feature fusion.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Mff-net: Towards efficient monocular depth completion with multi-modal feature fusion
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:07.537372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9e14f238-d0e5-4cfe-afa9-375c737a2f65 · outbound
This paper cites Non-local spatial propagation network for depth completion.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Non-local spatial propagation network for depth completion
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:07.407880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 05afeb41-0425-4bd9-9b3d-f26f29056de9 · outbound
This paper cites Learning affinity via spatial propagation networks.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Learning affinity via spatial propagation networks
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:07.230973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4d3113b9-103b-4b33-90bd-91b0847fa8e0 · outbound
This paper cites Depth estimation via affinity learned with convolutional spatial propagation network.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Depth estimation via affinity learned with convolutional spatial propagation network
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:07.120601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 80eaa1b7-6291-48bf-a01c-51a3fb07d302 · outbound
This paper cites Lrru: Long-short range recurrent updating networks for depth completion.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Lrru: Long-short range recurrent updating networks for depth completion
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:06.960552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 67bde3f4-b853-49da-b1c7-1888213ad8ce · outbound
This paper cites Fcfr-net: Feature fusion based coarse-to-fine residual learning for depth completion.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Fcfr-net: Feature fusion based coarse-to-fine residual learning for depth completion
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:06.831378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 947521bd-01c3-4740-8adb-e27ef2c06b82 · outbound
This paper cites Deep residual learning for image recognition.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Deep residual learning for image recognition
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:09:05.590730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 828fbdf0-2e51-435a-adf7-c4ac071039d6 · outbound
This paper cites Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:06.684397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 73bd20ce-4ea3-42bf-a1fc-1c2589f89ef3 · outbound
This paper cites Sea-raft: Simple, efficient, accurate raft for optical flow.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Sea-raft: Simple, efficient, accurate raft for optical flow
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:06.543828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3dc20902-fbd3-4012-bf50-265125d60069 · outbound
This paper cites A surface geometry model for lidar depth completion.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective A surface geometry model for lidar depth completion
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:06.389762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5cef189b-d54f-493a-948a-7660e4c7d403 · outbound
This paper cites Fpga accelerated real-time recurrent all-pairs field transforms for optical flow.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Fpga accelerated real-time recurrent all-pairs field transforms for optical flow
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:06.240155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 52bae811-4ec3-415c-8672-0c4ed0e04c23 · outbound
This paper cites Scene01.
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective Scene01
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:09:06.084531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.