Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T10:32:59.895490Z
Paper Citation Record · LEDGER
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting
As of 17 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:1908.10937.
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 2026-08-16T06:30:59.297886+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
79 of 79 outbound references displayed
- verified exact3
- verified fuzzy69
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ff9d4117-b719-41dd-bb7a-c7e9829871fe · outbound
This paper cites Slic superpixels.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Slic superpixels
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:01.098234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1bd2919a-252f-4841-9665-b017b2e0ed9a · outbound
This paper cites Counting in the wild.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Counting in the wild
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:01.083610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3c54308b-d902-4c0c-91db-585f7ebba698 · outbound
This paper cites Divide and grow: Capturing huge diversity in crowd images with incrementally growing cnn.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Divide and grow: Capturing huge diversity in crowd images with incrementally growing cnn
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:01.068927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5f3b0464-2f4f-4fb4-bb83-33500da0d78a · outbound
This paper cites The watershed transformation ap- plied to image segmentation.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting The watershed transformation ap- plied to image segmentation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:01.053636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c6f20c18-dc3e-4d62-ad86-8eb4f95bce9c · outbound
This paper cites Crowdnet: A deep convolutional network for dense crowd counting.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Crowdnet: A deep convolutional network for dense crowd counting
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:01.039038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 732caf99-7af7-4563-953d-9b22cd8ebbef · outbound
This paper cites A unified multi-scale deep convolutional neural network for fast object detection.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting A unified multi-scale deep convolutional neural network for fast object detection
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:01.024585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7da1fbc1-456d-4290-af96-b1f2554b01bd · outbound
This paper cites Scale aggregation network for accurate and efficient crowd count- ing.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Scale aggregation network for accurate and efficient crowd count- ing
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:01.009381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f25bfa63-b4ba-4ccc-b56d-638c95c13a3d · outbound
This paper cites Privacy preserving crowd monitoring: Counting people without people models or tracking.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Privacy preserving crowd monitoring: Counting people without people models or tracking
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.995124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 98dabb2d-f198-4222-b886-4481d7c58e49 · outbound
This paper cites Feature mining for localised crowd counting.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Feature mining for localised crowd counting
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.980822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 59dba188-3fb2-4059-bade-ada4a4e1750d · outbound
This paper cites Re- verse attention for salient object detection.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Re- verse attention for salient object detection
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.966274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e61f944b-e53d-4d80-ba8b-8a040453df35 · outbound
This paper cites Convolutional neural networks for counting fish in fisheries surveillance video.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Convolutional neural networks for counting fish in fisheries surveillance video
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.952063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5f15c5c1-b1e9-4715-83b7-b96102db3d4d · outbound
This paper cites Laplacian pyramid reconstruction and refinement for semantic segmentation.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Laplacian pyramid reconstruction and refinement for semantic segmentation
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.937756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d58c08dc-745e-41d8-805d-fdb995ca0f85 · outbound
This paper cites Hypercolumns for object segmentation and fine-grained localization.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Hypercolumns for object segmentation and fine-grained localization
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.923284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a6a73116-b43a-4661-a07e-82a3e218b5be · outbound
This paper cites Deeply supervised salient object detection with short connections.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Deeply supervised salient object detection with short connections
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.909097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2bf6716c-19bd-421c-b5e5-41c2185f7579 · outbound
This paper cites an unresolved cited work.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T10:33:00.894344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ce73b2b8-996c-434b-87c8-3854ce261879 · outbound
This paper cites Finding tiny faces.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Finding tiny faces
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.879988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation deaff888-8159-4e52-8f96-0ad8e1caa283 · outbound
This paper cites Multi-source multi-scale counting in extremely dense crowd images.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Multi-source multi-scale counting in extremely dense crowd images
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.864904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 66bee9a5-3657-4676-a0ad-f18a262b9780 · outbound
This paper cites De- tecting humans in dense crowds using locally-consistent scale prior and global occlusion reasoning.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting De- tecting humans in dense crowds using locally-consistent scale prior and global occlusion reasoning
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.850826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 315e235c-0046-4e75-ab24-3a81a7c40606 · outbound
This paper cites Composition loss for counting, density map estimation and localization in dense crowds.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Composition loss for counting, density map estimation and localization in dense crowds
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.836359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7352ca3e-8843-4e4f-9341-570479cbc0e6 · outbound
This paper cites Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T10:33:00.030995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 995e7282-7eb9-4092-a85a-51900a0fba49 · outbound
This paper cites Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:32:59.626326Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb4eea37-6eff-4c78-95c6-ef392896c413 · outbound
This paper cites Learning to count objects in images.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Learning to count objects in images
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.821812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3377996a-66e2-481f-b17a-f937e7677f4e · outbound
This paper cites Scale-aware fast r-cnn for pedestrian detection.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Scale-aware fast r-cnn for pedestrian detection
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.807851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 930aa718-c17c-430e-984f-0086e290d465 · outbound
This paper cites Estimating the number of people in crowded scenes by mid based foreground segmentation and head-shoulder detection.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Estimating the number of people in crowded scenes by mid based foreground segmentation and head-shoulder detection
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.793804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e29a6ce7-7e26-47d3-8066-bc911a9f67b0 · outbound
This paper cites Markov random field models in computer vision.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Markov random field models in computer vision
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.779106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 977fad28-d8a1-424d-8176-6aaabd1f2eee · outbound
This paper cites Crowded scene analysis: A sur- vey.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Crowded scene analysis: A sur- vey
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.764693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ab8d8450-d720-439c-8940-33c6c8d7c980 · outbound
This paper cites Anomaly detection and localization in crowded scenes.IEEE transactions on pattern analysis and machine intelligence , 36(1):18–32, 2014.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Anomaly detection and localization in crowded scenes.IEEE transactions on pattern analysis and machine intelligence , 36(1):18–32, 2014
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.749833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 269a40d1-dc06-4f5f-84e7-a5c416b94616 · outbound
This paper cites Csrnet: Di- lated convolutional neural networks for understanding the highly congested scenes.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Csrnet: Di- lated convolutional neural networks for understanding the highly congested scenes
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.734829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b6d2557d-758b-44e2-b095-2fbe1c4eb4db · outbound
This paper cites Refinenet: Multi-path refinement networks for high- resolution semantic segmentation.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Refinenet: Multi-path refinement networks for high- resolution semantic segmentation
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.720802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8b201e56-e1f3-4418-adea-5a685f093c29 · outbound
This paper cites Feature pyramid networks for object detection.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Feature pyramid networks for object detection
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.706688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6aa7c2d3-1d14-4004-b77e-a0658f084efb · outbound
This paper cites ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T10:32:59.991994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fd8967d7-6057-4dc1-9777-445b81afb7c1 · outbound
This paper cites Path aggregation network for instance segmentation.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Path aggregation network for instance segmentation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.691535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f89d58dd-8b97-4d55-88af-3646012be3c4 · outbound
This paper cites Context- aware crowd counting.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Context- aware crowd counting
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.677552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 07e646fd-9ccf-4cf2-b309-2364b5f272de · outbound
This paper cites Bagdanov.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Bagdanov
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.662531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7388dd85-cc35-45cc-93e3-e2dfc9b8349b · outbound
This paper cites Tasselnet: Counting maize tassels in the wild via local counts regression network.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Tasselnet: Counting maize tassels in the wild via local counts regression network
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.648260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 32f27f57-9bcb-47ba-be24-fdd6787c90f1 · outbound
This paper cites Anomaly detection in crowded scenes.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Anomaly detection in crowded scenes
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.633377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2e9c758f-427d-4690-bfb6-5dd326ce7bf1 · outbound
This paper cites Ssh: Single stage headless face detector.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Ssh: Single stage headless face detector
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.619446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8ed235cd-ea97-4b20-89ec-a65b79235ac8 · outbound
This paper cites Towards perspective-free object counting with deep learning.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Towards perspective-free object counting with deep learning
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.605350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bc826fe0-273e-4049-8d17-8255e8172dec · outbound
This paper cites Count forest: Co-voting uncertain number of targets using random forest for crowd density estimation.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Count forest: Co-voting uncertain number of targets using random forest for crowd density estimation
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.591158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fbf3b307-4fc9-4cf2-b6d8-f602e5699fd7 · outbound
This paper cites Learning to refine object segments.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Learning to refine object segments
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.577008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eddf6d1c-a8ec-4be4-b6c2-cac546f92209 · outbound
This paper cites Top-down visual saliency guided by captions.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Top-down visual saliency guided by captions
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.562409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 521ea595-7ce7-40d9-bd6d-d9c12fc0792c · outbound
This paper cites Hy- perface: A deep multi-task learning framework for face de- tection, landmark localization, pose estimation, and gender recognition.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Hy- perface: A deep multi-task learning framework for face de- tection, landmark localization, pose estimation, and gender recognition
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.547496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4f416799-4de8-414a-aff0-3eefccbe6636 · outbound
This paper cites Iterative crowd counting.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Iterative crowd counting
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.532462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bba5d74c-8203-4537-be4d-d6638a91c548 · outbound
This paper cites Density-aware person detection and tracking in crowds.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Density-aware person detection and tracking in crowds
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.517584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 983b4a08-8cf2-40af-ab8b-c7ee27c61fa0 · outbound
This paper cites A multi-scale cnn for affordance segmentation in rgb images.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting A multi-scale cnn for affordance segmentation in rgb images
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.502733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 31180f59-fd79-4a83-8766-b55634cc4e5f · outbound
This paper cites Crowd counting using multiple local features.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Crowd counting using multiple local features
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.487259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ed5c67ac-f946-4bc4-abb4-a96afbb630ed · outbound
This paper cites Top-down feed- back for crowd counting convolutional neural network.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Top-down feed- back for crowd counting convolutional neural network
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.455336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 43114644-92e8-4c44-a551-20ef08663779 · outbound
This paper cites Venkatesh Babu.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Venkatesh Babu
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.440429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4df663f2-0159-4764-8c18-a3e90c82a1dc · outbound
This paper cites Crowd counting via adversarial cross-scale consistency pursuit.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Crowd counting via adversarial cross-scale consistency pursuit
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.425401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bc8743b2-a593-4af0-a356-2041fdb3c239 · outbound
This paper cites Re- visiting perspective information for efficient crowd counting.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Re- visiting perspective information for efficient crowd counting
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.410341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9fc216f1-1b08-4b19-b7dd-976753529fe5 · outbound
This paper cites Crowd counting with deep negative correlation learning.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Crowd counting with deep negative correlation learning
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.395104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7f4601d4-e803-4781-9205-fe7c49ad17de · outbound
This paper cites Beyond Skip Connections: Top-Down Modulation for Object Detection.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Beyond Skip Connections: Top-Down Modulation for Object Detection
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:32:59.774770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac2a3a57-41a2-450b-96c4-b802d97efe53 · outbound
This paper cites Simonyan and A.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Simonyan and A
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:32:59.779407Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3825128d-0b65-42e1-ae16-1759d0bd1bab · outbound
This paper cites Inverse attention guided deep crowd counting network.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Inverse attention guided deep crowd counting network
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.370411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 04beae6d-c795-467a-9685-395178c56107 · outbound
This paper cites Sindagi and Vishal M.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Sindagi and Vishal M
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.355375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4528570d-4223-4b81-9a17-bc8427a4d97b · outbound
This paper cites Sindagi and Vishal M.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Sindagi and Vishal M
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.340244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 38228ac4-d587-46ef-9609-cb8d0de5734a · outbound
This paper cites A survey of re- cent advances in cnn-based single image crowd counting and density estimation.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting A survey of re- cent advances in cnn-based single image crowd counting and density estimation
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.325890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0ba3e601-4f56-40f9-985b-c05c8745e280 · outbound
This paper cites HA-CCN: Hierarchical Attention-based Crowd Counting Network.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting HA-CCN: Hierarchical Attention-based Crowd Counting Network
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T10:32:59.955729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 028e3851-e079-469f-ac6b-a63db219ece2 · outbound
This paper cites Traffic flow from a low frame rate city camera.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Traffic flow from a low frame rate city camera
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.310967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 75d90742-6757-47ca-b3e5-8569e5b119ce · outbound
This paper cites Learning to count with cnn boosting.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Learning to count with cnn boosting
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.296761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 33a994e1-39e2-4ec4-9913-1ec998ee2428 · outbound
This paper cites Residual regression with semantic prior for crowd counting.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Residual regression with semantic prior for crowd counting
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.281999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1a6ba59e-39de-4e5e-aa41-ea0663c27916 · outbound
This paper cites Deep people counting in extremely dense crowds.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Deep people counting in extremely dense crowds
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.267341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 283d7c45-be60-4b38-ab08-4410cd0ca571 · outbound
This paper cites Learning from Synthetic Data for Crowd Counting in the Wild.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Learning from Synthetic Data for Crowd Counting in the Wild
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:32:59.825713Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fdc38ad-477a-4aab-8e96-3a3294e3f76c · outbound
This paper cites Spatiotem- poral modeling for crowd counting in videos.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Spatiotem- poral modeling for crowd counting in videos
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.252980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6e0b70c7-7bfe-4e67-bdee-8b304d7e7859 · outbound
This paper cites Crowd density estimation based on rich features and random projection forest.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Crowd density estimation based on rich features and random projection forest
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.238413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4459246b-8194-48fd-bb93-a334764d4d56 · outbound
This paper cites Multi-scale bidirectional fcn for object skeleton extraction.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Multi-scale bidirectional fcn for object skeleton extraction
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.223726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f0c600d0-c447-4747-b13b-ee4117d79587 · outbound
This paper cites an unresolved cited work.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Unresolved cited work
Reference 67
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T10:33:00.208830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 94798c85-ea59-4a9d-a835-f116a32b5328 · outbound
This paper cites Crowd analysis: a survey.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Crowd analysis: a survey
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.193569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8cfc7981-0556-4b91-8a20-3c5410a17b92 · outbound
This paper cites Cross-scene crowd counting via deep convolutional neural networks.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Cross-scene crowd counting via deep convolutional neural networks
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.179219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ff5d8a33-bcaa-421f-b12a-50e8920e83fd · outbound
This paper cites Wide-area crowd counting via ground-plane density maps and multi-view fusion cnns.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Wide-area crowd counting via ground-plane density maps and multi-view fusion cnns
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.164410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bcfaae99-3cb3-4238-96a5-28ad54315a4a · outbound
This paper cites Understanding traffic density from large- scale web camera data.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Understanding traffic density from large- scale web camera data
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.149934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 18fe6195-8785-458b-9076-e3a36c4082d0 · outbound
This paper cites Costeira, and Jos M.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Costeira, and Jos M
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.134129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 69c308d9-22a4-4ea7-9f75-2dcb352f3efa · outbound
This paper cites Progressive attention guided recurrent net- work for salient object detection.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Progressive attention guided recurrent net- work for salient object detection
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.117818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7145f4b3-dbe6-41d6-a889-81b6b54fbdd3 · outbound
This paper cites Single-image crowd counting via multi-column convolutional neural network.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Single-image crowd counting via multi-column convolutional neural network
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.103477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4ec2b998-6662-4b4d-95aa-b440ef94706a · outbound
This paper cites Leveraging heterogeneous auxiliary tasks to assist crowd counting.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Leveraging heterogeneous auxiliary tasks to assist crowd counting
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.088785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 80a77bb5-af1f-43cc-9968-37af64bdd80c · outbound
This paper cites Defocus blur detection via multi-stream bottom-top-bottom fully convolutional network.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Defocus blur detection via multi-stream bottom-top-bottom fully convolutional network
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.073554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8e7a7b03-40a1-4af4-b3eb-88125d7c0b67 · outbound
This paper cites Crowd tracking with dynamic evolution of group structures.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Crowd tracking with dynamic evolution of group structures
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.057633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a684c43b-4f9d-4bc0-bb22-ebc79ca3355b · outbound
This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Unpaired image-to-image translation using cycle- consistent adversarial networks
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:32:59.895490Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab76da81-5064-4801-9d29-784e0c8619d2 · outbound
This paper cites IEEE, 2009.
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting IEEE, 2009
Reference 2009
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:33:00.471703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.