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Paper Citation Record · LEDGER

Bayesian Loss for Crowd Count Estimation with Point Supervision

As of 16 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:1908.03684.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.03684 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:14:57.854352Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

61 of 61 outbound references displayed

  • verified exact0
  • verified fuzzy51
  • unresolved10
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9bcd1a7e-8c0a-4b50-b5fa-6101eaef65ac · outbound

This paper cites Lempitsky, and Andrew Zisserman.

Bayesian Loss for Crowd Count Estimation with Point Supervision Lempitsky, and Andrew Zisserman

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ad43f70d-00ef-40cf-85c9-1c92151568e7 · outbound

This paper cites Sajjan, R.

Bayesian Loss for Crowd Count Estimation with Point Supervision Sajjan, R

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 49ba45e2-2b5c-4043-bd5e-c42156d65a8d · outbound

This paper cites Venkatesh Babu.

Bayesian Loss for Crowd Count Estimation with Point Supervision Venkatesh Babu

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4ed0255f-8c1c-4c05-808a-aa5c8d75bffc · outbound

This paper cites Scale aggregation network for accurate and efficient crowd count- ing.

Bayesian Loss for Crowd Count Estimation with Point Supervision Scale aggregation network for accurate and efficient crowd count- ing

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 889455be-5551-4cd0-9a9b-adfd6e1b67d3 · outbound

This paper cites Chan, Zhang-Sheng John Liang, and Nuno Vas- concelos.

Bayesian Loss for Crowd Count Estimation with Point Supervision Chan, Zhang-Sheng John Liang, and Nuno Vas- concelos

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bbb0aae3-b2b6-499b-a91d-bcc4175711f1 · outbound

This paper cites Selvaraju, Dhruv Batra, and Devi Parikh.

Bayesian Loss for Crowd Count Estimation with Point Supervision Selvaraju, Dhruv Batra, and Devi Parikh

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cf709351-9afb-4cb3-9afe-06320a2fa3a8 · outbound

This paper cites Cumulative attribute space for age and crowd density estimation.

Bayesian Loss for Crowd Count Estimation with Point Supervision Cumulative attribute space for age and crowd density estimation

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e0791c1e-5662-46b5-8a81-8b09be051623 · outbound

This paper cites Glaston- bury, Henry Z.

Bayesian Loss for Crowd Count Estimation with Point Supervision Glaston- bury, Henry Z

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c16e2ae2-b4e8-40e1-8292-51ad8fcdee26 · outbound

This paper cites An aggregated mul- ticolumn dilated convolution network for perspective-free counting.

Bayesian Loss for Crowd Count Estimation with Point Supervision An aggregated mul- ticolumn dilated convolution network for perspective-free counting

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 13c1e1fb-6e65-4e7c-ac74-567d4f972ce8 · outbound

This paper cites A discriminatively trained, multiscale, deformable part model.

Bayesian Loss for Crowd Count Estimation with Point Supervision A discriminatively trained, multiscale, deformable part model

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9e605c18-ff32-4f26-b54e-6b4d16ce4587 · outbound

This paper cites Ham- precht.

Bayesian Loss for Crowd Count Estimation with Point Supervision Ham- precht

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 36f3840d-f8c2-4f2b-a31f-38731ac8fb64 · outbound

This paper cites an unresolved cited work.

Bayesian Loss for Crowd Count Estimation with Point Supervision Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3e71980e-3b0c-431b-a6fd-11494257b185 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level perfor- mance on imagenet classification.

Bayesian Loss for Crowd Count Estimation with Point Supervision Delving deep into rectifiers: Surpassing human-level perfor- mance on imagenet classification

Reference 13

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Source-reported events for the cited work

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Observation f732c8df-aafb-4520-89ff-37d826131ea4 · outbound

This paper cites an unresolved cited work.

Bayesian Loss for Crowd Count Estimation with Point Supervision Unresolved cited work

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 330c1329-2e7a-407f-b463-f151de6afd2a · outbound

This paper cites Multi-source multi-scale counting in extremely dense crowd images.

Bayesian Loss for Crowd Count Estimation with Point Supervision Multi-source multi-scale counting in extremely dense crowd images

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2f6f23f1-f3d6-46c8-972c-16392014798a · outbound

This paper cites Composition loss for counting, density map estima- tion and localization in dense crowds.

Bayesian Loss for Crowd Count Estimation with Point Supervision Composition loss for counting, density map estima- tion and localization in dense crowds

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.679732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 75e49a83-cfcf-488a-b822-b9f8045eb229 · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

Bayesian Loss for Crowd Count Estimation with Point Supervision Imagenet classification with deep convolutional neural net- works

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 609fffaa-907a-44ab-aff8-452dba64e6fc · outbound

This paper cites Laradji, Negar Rostamzadeh, Pedro O.

Bayesian Loss for Crowd Count Estimation with Point Supervision Laradji, Negar Rostamzadeh, Pedro O

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c441ab9f-20b8-4271-91c3-c31efed1c913 · outbound

This paper cites Be- yond bags of features: Spatial pyramid matching for recog- nizing natural scene categories.

Bayesian Loss for Crowd Count Estimation with Point Supervision Be- yond bags of features: Spatial pyramid matching for recog- nizing natural scene categories

Reference 19

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f12263e9-9ead-41bd-a5b4-ed34bd7a7c7f · outbound

This paper cites Learning to count objects in images.

Bayesian Loss for Crowd Count Estimation with Point Supervision Learning to count objects in images

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6067aeaf-f991-4944-93fc-47661ce4b41f · outbound

This paper cites Es- timating the number of people in crowded scenes by MID based foreground segmentation and head-shoulder detection.

Bayesian Loss for Crowd Count Estimation with Point Supervision Es- timating the number of people in crowded scenes by MID based foreground segmentation and head-shoulder detection

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.594245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1026c0b7-ec2f-4aec-a7a5-753ce87376b7 · outbound

This paper cites Esti- mation of number of people in crowded scenes using per- spective transformation.

Bayesian Loss for Crowd Count Estimation with Point Supervision Esti- mation of number of people in crowded scenes using per- spective transformation

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5fb8487b-3ab9-4bc8-863c-daf05e8586bc · outbound

This paper cites Bayesian model adaptation for crowd counts.

Bayesian Loss for Crowd Count Estimation with Point Supervision Bayesian model adaptation for crowd counts

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 84eb6511-e27b-4d87-9f34-6c393e875b42 · outbound

This paper cites Hauptmann.

Bayesian Loss for Crowd Count Estimation with Point Supervision Hauptmann

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 98e53625-5cca-46de-b41c-ddfc4df28892 · outbound

This paper cites Crowd counting using deep recurrent spatial- aware network.

Bayesian Loss for Crowd Count Estimation with Point Supervision Crowd counting using deep recurrent spatial- aware network

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 66449299-e3e4-4f41-a45d-8d5d106bb093 · outbound

This paper cites Bagdanov.

Bayesian Loss for Crowd Count Estimation with Point Supervision Bagdanov

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1dd929f4-2670-460b-b548-ee6202f8a703 · outbound

This paper cites an unresolved cited work.

Bayesian Loss for Crowd Count Estimation with Point Supervision Unresolved cited work

Reference 27

Resolution
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raw_fallback, observed 2026-08-14T14:14:58.487937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7251996f-082c-443a-8950-40e73c20e32e · outbound

This paper cites Keogh, and Noel E.

Bayesian Loss for Crowd Count Estimation with Point Supervision Keogh, and Noel E

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.470996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8963abe8-6eec-42c2-bfe3-f03abf4868c9 · outbound

This paper cites Nathan Mundhenk, Goran Konjevod, Wesam A.

Bayesian Loss for Crowd Count Estimation with Point Supervision Nathan Mundhenk, Goran Konjevod, Wesam A

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9a38072e-6732-450e-8694-c68da224ba32 · outbound

This paper cites To- wards perspective-free object counting with deep learning.

Bayesian Loss for Crowd Count Estimation with Point Supervision To- wards perspective-free object counting with deep learning

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 71a76d66-84cd-47a1-9494-07f530cc6299 · outbound

This paper cites COUNT forest: Co-voting uncertain number of targets using random forest for crowd density estimation.

Bayesian Loss for Crowd Count Estimation with Point Supervision COUNT forest: Co-voting uncertain number of targets using random forest for crowd density estimation

Reference 31

Resolution
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raw_fallback, observed 2026-08-14T14:14:58.419164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.690379Z digest=sha256:52892d54334b74b45fc2d591250321f5f0920835f05f1914e054b2f03cf4ce4c

Observation c4424107-c78d-4d2f-a90e-d8f58903cd4b · outbound

This paper cites Iterative crowd counting.

Bayesian Loss for Crowd Count Estimation with Point Supervision Iterative crowd counting

Reference 32

Resolution
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raw_fallback, observed 2026-08-14T14:14:58.402941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d39c3cf2-4231-4f4c-81d4-3831f07c8ab0 · outbound

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

Bayesian Loss for Crowd Count Estimation with Point Supervision Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.386546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.701099Z digest=sha256:b8dd1f5662055679ea974dcb1cf2ce7fe1847e5287e8e3888fd12d52bbdc581d

Observation 50966c1d-5f4c-4629-a4e5-dae9dc44b16e · outbound

This paper cites an unresolved cited work.

Bayesian Loss for Crowd Count Estimation with Point Supervision Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:14:58.369554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.706543Z digest=sha256:6e874c3569bd7b89f2045cb9d29a0c7373d4d2ea5472f6b5b3ea6bc6993b3306

Observation 1c8600c0-084d-46a0-9943-7895daad5b24 · outbound

This paper cites Crowd counting using multiple local features.

Bayesian Loss for Crowd Count Estimation with Point Supervision Crowd counting using multiple local features

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.353318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.711637Z digest=sha256:330c943f10a38b84ab5e960ff03122baad390b8a6f63cf50c090a09c1a8893e2

Observation 541aaeb6-f7ea-4b02-938e-345e67e7631f · outbound

This paper cites End-to-end crowd counting via joint learning local and global count.

Bayesian Loss for Crowd Count Estimation with Point Supervision End-to-end crowd counting via joint learning local and global count

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.336925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.718076Z digest=sha256:1f3d5726e625a1edd2e31afaba925185525b162623eac61c109b2c26f2d8a8eb

Observation 727e5c7f-5650-4734-a317-a3ed7d9e4980 · outbound

This paper cites Crowd counting via adversarial cross-scale consistency pursuit.

Bayesian Loss for Crowd Count Estimation with Point Supervision Crowd counting via adversarial cross-scale consistency pursuit

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.319276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.724046Z digest=sha256:a70e26ca651c981e2002c60455ba5d1f8fe8b97f1e47cd0366bdf7c8b6dcbca5

Observation f892eb77-5515-4d43-839b-5b06861f6ce9 · outbound

This paper cites Crowd counting with deep negative correlation learning.

Bayesian Loss for Crowd Count Estimation with Point Supervision Crowd counting with deep negative correlation learning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.302156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.730046Z digest=sha256:4eedada559fabb5a731f847f1a0062cf39e66fe4db88590abf93b5e472fcefa2

Observation e45f3b72-093f-4094-8d28-77d9a1033296 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Bayesian Loss for Crowd Count Estimation with Point Supervision Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-14T14:14:57.736721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:14:57.736721Z digest=sha256:7442b32f0a4a9980cdecd3f0299e6cfd71679f5eb08c50de32633cbfa3080eda

Observation e8871318-ffa7-4d01-a60a-684ecca0c7c9 · outbound

This paper cites Sindagi and Vishal M.

Bayesian Loss for Crowd Count Estimation with Point Supervision Sindagi and Vishal M

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.286018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.743407Z digest=sha256:7775670498a3d345eef0c09545898e68b54ff471a22bd049f244d7ff3500a550

Observation ec1d1dbf-f913-43c2-8921-5f2162c3534e · outbound

This paper cites Sindagi and Vishal M.

Bayesian Loss for Crowd Count Estimation with Point Supervision Sindagi and Vishal M

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.270312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.748915Z digest=sha256:f435184c9784a09380a314f41edfc201a5bd174285ae0d30b967b3b22ad971db

Observation 4b4e0401-3b5b-4601-8314-54da6fd83282 · outbound

This paper cites an unresolved cited work.

Bayesian Loss for Crowd Count Estimation with Point Supervision Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:14:58.253490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.753691Z digest=sha256:11aa0fc0102da9592ae9d0d4a57d57a7a40af84f0cbd3e06a3c27e63c99231fd

Observation 8b215bc6-17d3-4fce-bedd-14869ed07d79 · outbound

This paper cites an unresolved cited work.

Bayesian Loss for Crowd Count Estimation with Point Supervision Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:14:58.237478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.758543Z digest=sha256:5bb09981d4af945b89bd0790ce1543f1a8ea011875ea59386aa0adc6559eeede

Observation 5a150c40-a477-4054-88af-ac8a46e659e0 · outbound

This paper cites Rao, Kumar T.

Bayesian Loss for Crowd Count Estimation with Point Supervision Rao, Kumar T

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.219152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.765418Z digest=sha256:0b184b71ff614846305ab040461b790f1b06c324421d2e64d1531753b1671e78

Observation bf201318-8ea3-4bda-9f7f-c3a98e93e6ae · outbound

This paper cites Learning to count with CNN boosting.

Bayesian Loss for Crowd Count Estimation with Point Supervision Learning to count with CNN boosting

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.202851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.770502Z digest=sha256:240f024b77c69835057d72f35081631b1675edc3b6c47b4bc5eb16f1c8bb9d46

Observation bf39cf13-879d-4255-a617-565df28e74f8 · outbound

This paper cites Deep people counting in extremely dense crowds.

Bayesian Loss for Crowd Count Estimation with Point Supervision Deep people counting in extremely dense crowds

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.186445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.776885Z digest=sha256:ea81cd6344e9b4889ea18e5aee169bd49cf4c07654975654560818d6e1a63351

Observation 6a688a98-cda0-4b7d-9928-977565e01871 · outbound

This paper cites Locality-constrained linear cod- ing for image classification.

Bayesian Loss for Crowd Count Estimation with Point Supervision Locality-constrained linear cod- ing for image classification

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.170493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.782451Z digest=sha256:c9cf7c5a49c9613bca51218ee8bae4dd54f2f462314ca428fed02ddd0db9d6fa

Observation 3879c59e-7c80-45a9-a050-1dc1aee15b0d · outbound

This paper cites Repulsion loss: Detecting pedestri- ans in a crowd.

Bayesian Loss for Crowd Count Estimation with Point Supervision Repulsion loss: Detecting pedestri- ans in a crowd

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.154755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.787352Z digest=sha256:39151fb1c60469d61515a52bebe0c03df3b4ff865572d90da1d98115affcc102

Observation 62d9776e-d4d5-4938-b863-ad89bddd38d6 · outbound

This paper cites Grassmann pooling as compact homoge- neous bilinear pooling for fine-grained visual classification.

Bayesian Loss for Crowd Count Estimation with Point Supervision Grassmann pooling as compact homoge- neous bilinear pooling for fine-grained visual classification

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.137472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.792220Z digest=sha256:5f4c814f1b9b19199b7d8bc52ff36d0b7afdf57c696a56f8d095910408db503a

Observation 5abcb4a1-7b17-4245-925f-184dce515cf6 · outbound

This paper cites Kernelized subspace pooling for deep local descriptors.

Bayesian Loss for Crowd Count Estimation with Point Supervision Kernelized subspace pooling for deep local descriptors

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.120323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.797413Z digest=sha256:c81ef98e30ad0f42773b91bc1a5cdfc855b9fd81c532f52c9ee2b1701e030127

Observation 9be29f74-5a1c-463b-ad52-15b87fd2b6c8 · outbound

This paper cites Spatiotem- poral modeling for crowd counting in videos.

Bayesian Loss for Crowd Count Estimation with Point Supervision Spatiotem- poral modeling for crowd counting in videos

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.103115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.802395Z digest=sha256:e0ce046d38802382fcfc7d0bf53655a5134fcc8eebc22740e3a4fb91465f0ce8

Observation 0dad8fcf-2220-4133-a2e0-7ab5e71c9d47 · outbound

This paper cites Structured model- ing of joint deep feature and prediction refinement for salient object detection.

Bayesian Loss for Crowd Count Estimation with Point Supervision Structured model- ing of joint deep feature and prediction refinement for salient object detection

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.085377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.807442Z digest=sha256:c9fc55b3e72e979b0f0078e2b88acddadab41e7b403b64ef234cc8bb08809fea

Observation 0f7a590b-2f53-4e02-852a-739f8da50a07 · outbound

This paper cites Cross-scene crowd counting via deep convolutional neural networks.

Bayesian Loss for Crowd Count Estimation with Point Supervision Cross-scene crowd counting via deep convolutional neural networks

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.068148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.812348Z digest=sha256:2fe1d5492bc56c012905f8b8c184fa87b83d97833c91d2646641b7a1edb62d8c

Observation e3d6fb8b-2a27-4906-8ea4-fc7b9bda5c08 · outbound

This paper cites Crowd counting via scale-adaptive convolutional neural network.

Bayesian Loss for Crowd Count Estimation with Point Supervision Crowd counting via scale-adaptive convolutional neural network

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.050009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.817196Z digest=sha256:67a061ed696950c41393e5d6db63ccecf16512619c439cc909dd05356b48711e

Observation 88f9d5b8-2d8f-402f-8888-933a416d2db0 · outbound

This paper cites an unresolved cited work.

Bayesian Loss for Crowd Count Estimation with Point Supervision Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:14:58.031667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.823390Z digest=sha256:4739996a11eeef1c16cec9c951dcb959e7562ffa7c11918b7e51093f187c2f6e

Observation e40e95d4-fc2c-4f15-8e16-f034f683c612 · outbound

This paper cites Costeira, and Jose M.

Bayesian Loss for Crowd Count Estimation with Point Supervision Costeira, and Jose M

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:58.012162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.828900Z digest=sha256:23dacd469d9d0078d98acaef95a5b300d24b7d6c2db9c924613afb494126b770

Observation db95fead-d108-47cb-a488-9da499941442 · outbound

This paper cites Single-image crowd counting via multi-column convolutional neural network.

Bayesian Loss for Crowd Count Estimation with Point Supervision Single-image crowd counting via multi-column convolutional neural network

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:57.989383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.833753Z digest=sha256:94b01987e6e8809afc4a3755c1d171b7bf4977154b3aa2c17147a057ff1caf62

Observation 93688924-bdfc-4802-8e5c-75b4160c96ef · outbound

This paper cites Bayesian human segmen- tation in crowded situations.

Bayesian Loss for Crowd Count Estimation with Point Supervision Bayesian human segmen- tation in crowded situations

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:57.969206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.839171Z digest=sha256:b7662a695f25177864b5ba4b245b5967f9dd2e485bc3176df4f0c3e22f945c37

Observation a8f4cae6-3825-4dd7-909a-eaa94446fdea · outbound

This paper cites Crossing-line crowd counting with two-phase deep neural networks.

Bayesian Loss for Crowd Count Estimation with Point Supervision Crossing-line crowd counting with two-phase deep neural networks

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:57.950721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.843804Z digest=sha256:7f5a80668d69ba95ebb618c177a69736c59969a55b621d2bca74dd279166572a

Observation 400c3be3-8e93-406b-8430-21602d2601bd · outbound

This paper cites Discriminative fea- ture learning with foreground attention for person re- identification.

Bayesian Loss for Crowd Count Estimation with Point Supervision Discriminative fea- ture learning with foreground attention for person re- identification

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:57.933838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.849324Z digest=sha256:97bb51b09df20d634d8727573854bce8e114b466b5870dac1afe2fcae179f1a2

Observation eb257311-9e09-4761-b3fa-411c917509b5 · outbound

This paper cites Point to set similarity based deep fea- ture learning for person re-identification.

Bayesian Loss for Crowd Count Estimation with Point Supervision Point to set similarity based deep fea- ture learning for person re-identification

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:14:57.916153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:14:57.854352Z digest=sha256:f1f0450c36df3d74cd86b61fe4e766866723792a9ecd97a5f440a2877573d736

Pith citing papers

No inbound Pith citation observations are available.