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Paper Citation Record · LEDGER

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence

As of 16 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:1908.06351.

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

pith.paper-citation-record.v1
1908.06351 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:51:33.234480Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

57 of 57 outbound references displayed

  • verified exact0
  • verified fuzzy48
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d901d35f-cd56-44a0-89c7-be95ff8fd302 · outbound

This paper cites Robust real-time unusual event detection using multiple fixed-location monitors.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Robust real-time unusual event detection using multiple fixed-location monitors

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:34.145346Z

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.

source=arxiv_source observed=2026-08-14T12:51:32.964160Z digest=sha256:a342603d35b3c83eaf2e7eb03c51580c3f29956df43f9fd1a18180e25126784c

Observation 0e210cda-ce28-4119-a848-7dea2e02b006 · outbound

This paper cites an unresolved cited work.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:51:34.129833Z

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.

source=arxiv_source observed=2026-08-14T12:51:32.969569Z digest=sha256:3d1e2696ef37668ae1d9a850200da1525c48b0840490ccc2354418934f67cdd6

Observation 1ac3651a-304d-4902-a3b1-b9db64b95c73 · outbound

This paper cites Learning object motion patterns for anomaly detection and improved object detection.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Learning object motion patterns for anomaly detection and improved object detection

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:34.113788Z

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.

source=arxiv_source observed=2026-08-14T12:51:32.974936Z digest=sha256:636c110f68de7884334393a5b09cf5a5f39d859113b22aa844b889ba604f5dd6

Observation 94b772ad-54cb-40cf-85c3-7fa4f73bd8c4 · outbound

This paper cites Sca-cnn: Spatial and channel-wise attention in convolutional networks for image captioning.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Sca-cnn: Spatial and channel-wise attention in convolutional networks for image captioning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:34.098714Z

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.

source=arxiv_source observed=2026-08-14T12:51:32.980325Z digest=sha256:fc3216e8f986ccf468e2ce8beec26ee159d189d70039618577c6a4e934c750f1

Observation 3370ae7b-9444-4a2f-a8a1-4bde7a4ecd58 · outbound

This paper cites Video anomaly detection and localization using hierarchical feature representation and gaussian process regression.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Video anomaly detection and localization using hierarchical feature representation and gaussian process regression

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:34.083561Z

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.

source=arxiv_source observed=2026-08-14T12:51:32.985673Z digest=sha256:365f1bb131e571ce7db65e389eb104824d4e34e0e5ea04ec3b9afb0cebb07b9b

Observation 7cde1165-ff47-4f48-8646-4eed806fe99c · outbound

This paper cites Sparse reconstruction cost for abnormal event detection.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Sparse reconstruction cost for abnormal event detection

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:34.067327Z

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.

source=arxiv_source observed=2026-08-14T12:51:32.990814Z digest=sha256:52e25cb8b6fc2e26750f96b253a8d1fdd7941a240e296d30f3f4654d85c4c445

Observation 6ab3e25d-627e-4a6c-8642-a65230abcc84 · outbound

This paper cites Andrew Bagnell, and Martial Hebert.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Andrew Bagnell, and Martial Hebert

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:34.052164Z

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.

source=arxiv_source observed=2026-08-14T12:51:32.996395Z digest=sha256:bbc5f2b5fe52f1ed6dfb4cd2c7da69d9ccc87f501ced006a88bdd4fe8df1ebd4

Observation d87db349-6def-481f-8473-86961040670f · outbound

This paper cites Flownet: Learning optical flow with convolutional networks.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Flownet: Learning optical flow with convolutional networks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:34.037136Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.001434Z digest=sha256:985d90dbf1c3165f5cfbd7285310b1caa998b825fefbec08550e7d9f78fc1f1a

Observation 6b03b042-4e68-44fb-a232-eea79a092a71 · outbound

This paper cites Sparse subspace clustering.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Sparse subspace clustering

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:34.021060Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.006254Z digest=sha256:a6785a0c97eb7ed1bd1408e4b5adcd3841e945377b3a37a51b69f696d962e095

Observation 90e0efd8-4522-4106-bef6-d3089813992f · outbound

This paper cites Generative adversarial nets.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Generative adversarial nets

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:34.005541Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.010961Z digest=sha256:1eff9be48f997fba2d9df1ec6e6949e67b03447e84f698823d270e7a48fedefc

Observation 5ef31428-104c-4e8b-8c72-0bb828757a96 · outbound

This paper cites Roy-Chowdhury, and Larry S.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Roy-Chowdhury, and Larry S

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.990701Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.016209Z digest=sha256:505b70a2647468af3087110fd1df1f8f75f3e99ac4ccf12f6a6cf5fc578f4d07

Observation c49b0016-11b3-4dd6-8375-cecb706c8e26 · outbound

This paper cites Mask r-cnn.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Mask r-cnn

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.976374Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.021092Z digest=sha256:abe43a13cf1d3fc94ad2363b44d815b00312cd228d44e0fbf7e4ef40cd410fdd

Observation 3acbd1f9-bd79-40cf-ac51-3a45291861fe · outbound

This paper cites Deep residual learning for image recognition.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Deep residual learning for image recognition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.961833Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.025827Z digest=sha256:2e3fec7d1dc90c6c395bd496715eeef22597f8154e0bf60c6bde9f4d2eb0a8b6

Observation 0aca54f2-2a78-4429-a338-559be1e0aa81 · outbound

This paper cites Joint detection and recounting of abnormal events by learning deep generic knowledge.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Joint detection and recounting of abnormal events by learning deep generic knowledge

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.946825Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.030741Z digest=sha256:fa39b7b0109ed8e2b60f22ecd23d1cf5c67169cadd638c19fd400d5fe6f079a5

Observation f3dd88c2-a87c-4e99-a909-620dfb75d756 · outbound

This paper cites Flownet 2.0: Evolution of optical flow estimation with deep networks.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Flownet 2.0: Evolution of optical flow estimation with deep networks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.932244Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.035464Z digest=sha256:0085c098b563265b31d303bc2487911645ee0adf52a12d116253769fc4d258bb

Observation 4b3fe63a-7241-444c-928b-e36082236542 · outbound

This paper cites Unmasking the abnormal events in video.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Unmasking the abnormal events in video

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.917178Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.040225Z digest=sha256:5ef8b9d8b764d5ed60598a6d747adbddf7736e1c57022db532d9525d6d0c552f

Observation 42a58f8c-01ae-4063-ab7f-07f265f31cf7 · outbound

This paper cites an unresolved cited work.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:51:33.902111Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.044953Z digest=sha256:731fbff859de213c587dff7e9ad5e1d44bfc7e96b764b941aed0f96cb53cb06f

Observation be64fd2d-0098-4bce-90d4-a336d1d487d4 · outbound

This paper cites Densecap: Fully convolutional localization networks for dense captioning.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Densecap: Fully convolutional localization networks for dense captioning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.887140Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.049736Z digest=sha256:5e86bb0666acc5daf6dc11604b32c298df9f6713c8e3dd71590716577e926ac6

Observation 8613ec27-31a1-41c7-9eca-49f53ac5275e · outbound

This paper cites Deep visual-semantic alignments for generating image descriptions.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Deep visual-semantic alignments for generating image descriptions

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.871740Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.054494Z digest=sha256:de4cb747d1034448daa7f759ca35cb1ee0165631f499b6e3fce833a39fbf05d4

Observation b3833e89-80d6-4556-9ec3-29d1a9253c1f · outbound

This paper cites Observe locally, infer globally: A space-time mrf for detecting abnormal activities with incremental updates.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Observe locally, infer globally: A space-time mrf for detecting abnormal activities with incremental updates

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.856769Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.059098Z digest=sha256:997ac2e05f0910eeb484ad176efa019968f41dade800fd54aaec9ece9e437716

Observation ca64e8ce-a1ea-4b2c-94b7-76f4d1c45fb9 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Adam: A Method for Stochastic Optimization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T12:51:33.063833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:51:33.063833Z digest=sha256:f0d23a76274f227e570051b1b84514a94d4356bf364c8bed0c465aed3667789d

Observation 63083e9e-8183-4466-8f68-4664d68289cf · outbound

This paper cites Extracting and filtering minima and maxima of 1d functions.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Extracting and filtering minima and maxima of 1d functions

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.840999Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.068705Z digest=sha256:9ecaab858bbd2ff67d4d501fdf7e68f547ebeb91524e6fba5c432f956dc7c647

Observation 6767abbc-b0d6-44a3-8ab4-ca668f28e34f · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Imagenet classification with deep convolutional neural networks

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.823973Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.073458Z digest=sha256:6c30b38283787025eef3ccd1d6cbcf05fad069874fc8cf0035c11ac804350651

Observation f0ad8446-7a84-4b46-8d63-24e26f1c2412 · outbound

This paper cites Anomaly detection and localization in crowded scenes.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Anomaly detection and localization in crowded scenes

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.808413Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.078020Z digest=sha256:bc1eee7b1ba0491c8e105241fe511d57f0dfbb317f63c71e8e176f401ab60cb4

Observation 6ea70fea-b303-4fb4-a950-f15389445f2b · outbound

This paper cites Future frame prediction for anomaly detection – a new baseline.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Future frame prediction for anomaly detection – a new baseline

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.793240Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.082735Z digest=sha256:b118ce609f39df59d13f038c601357b8b5e137db58ff14a259ea5fc4f21dd1b4

Observation e7f6db1a-0f90-4cbe-8a68-fb0639e3bc8c · outbound

This paper cites Abnormal event detection at 150 fps in matlab.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Abnormal event detection at 150 fps in matlab

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.778114Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.087442Z digest=sha256:f8a7f96bc9e2b606f204468c51ba8b05944e89cf65bba2bd853507541e8c3b51

Observation df6ac545-5e37-4f0b-ac11-df1d5a093e48 · outbound

This paper cites Remembering history with convolutional lstm for anomaly detection.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Remembering history with convolutional lstm for anomaly detection

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.762054Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.092298Z digest=sha256:804a49d3ee0c7d6416900b85d1bbd164bb5c1d9ca8aca3779ec0ef809962293a

Observation a7b7a6a1-f0b2-4efe-b56c-553c7e3f4fa8 · outbound

This paper cites A revisit of sparse coding based anomaly detection in stacked rnn framework.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence A revisit of sparse coding based anomaly detection in stacked rnn framework

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.747240Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.096993Z digest=sha256:45e1a050ae9a851b0367d8a900d6e68cee8be67c7a00247cecc4c6edeedf51b6

Observation 5b054b00-7b04-48af-8506-08a1ee17f781 · outbound

This paper cites Maas, Awni Y.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Maas, Awni Y

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.732218Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.101624Z digest=sha256:de87cc9b67429c140e48d5d7b8737527002668aceff5dfedd807d0b9aafc275d

Observation 85ff5f92-5bbc-42d9-ba02-6d51b90fa476 · outbound

This paper cites Anomaly detection in crowded scenes.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Anomaly detection in crowded scenes

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.717288Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.106416Z digest=sha256:1edbbaaa4162b0ca0caa149bed53e21ee4cbc5157bd4b391b95aeea1116c7b28

Observation a59400ee-c37c-4598-a0a3-c9c683908e9c · outbound

This paper cites Lau, Zhen Wang, and Stephen Paul Smolley.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Lau, Zhen Wang, and Stephen Paul Smolley

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.702396Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.110950Z digest=sha256:249df6a3458b683c4917b45e577e95199909861c271754c7cd61ab586df1617c

Observation ede292d6-1ff9-4504-aefb-85e76b616587 · outbound

This paper cites Deep multi-scale video prediction beyond mean square error.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Deep multi-scale video prediction beyond mean square error

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-14T12:51:33.115515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:51:33.115515Z digest=sha256:77a13bfdea51f626f7f0a1d61a0685d4ff12330c8d5105d5299a7f84f836dd23

Observation 368ec936-bf54-4957-82c4-3c6c6444e55f · outbound

This paper cites A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.684544Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.120564Z digest=sha256:ba065ee1dfaedb1825be2d718a0a108b851297aeb8b8ec7bfe6c9909930ab7d2

Observation d611eab8-0cf5-4a37-87f6-98a41b5628d0 · outbound

This paper cites Event detection and analysis from video streams.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Event detection and analysis from video streams

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.668950Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.125139Z digest=sha256:c8f067025055643fdc78d2363c61367eaddcff85877e1cba5f74127870b6b443

Observation cd3a612e-d8a7-4a98-a23f-317a66a8481c · outbound

This paper cites Narasimhan and Sowmya Kamath S.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Narasimhan and Sowmya Kamath S

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.653812Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.129939Z digest=sha256:4b8e5c6aac48fd42aa497bac4872eb4e1a2033aa24e896057439b684870fbd84

Observation f2a44c85-f41e-42b1-9c3c-0173a3b6aaba · outbound

This paper cites Trajectory-based anomalous event detection.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Trajectory-based anomalous event detection

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.638265Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.134665Z digest=sha256:98c757316139b8f6a7b71eac3046815277ea427ca22319f1aae97c4d1def6642

Observation 597d840c-6b91-428e-95b7-332b009c247d · outbound

This paper cites Abnormal event detection in videos using generative adversarial nets.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Abnormal event detection in videos using generative adversarial nets

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.622750Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.139165Z digest=sha256:1e3444dd9e2833801c2e659bf68eee7f5e7d99d019e119cd2a6abe87c59062f4

Observation a0905399-48b3-4801-9a1c-208eafdf151a · outbound

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

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.608086Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.144128Z digest=sha256:ba6ff7a1dfcfc2966748239c5cb82227c0f0adc9101b02bcebc05dc3bd545eb8

Observation 7ee22a9a-6460-4426-9c3b-faf26888cd72 · outbound

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

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence U-net: Convolutional networks for biomedical image segmentation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.593103Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.149054Z digest=sha256:53c3c5e6e554683cfb0afe437f2b3297c190fd54e2b5c40a2c2cc94bf923aee4

Observation b08f3885-61ba-4dfb-9c7f-1c44fb5a56af · outbound

This paper cites Adversarially learned one-class classifier for novelty detection.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Adversarially learned one-class classifier for novelty detection

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.577947Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.153755Z digest=sha256:4f09bad2fcf5a7db67c406e426f7cd29ca33c304423e739965fd68bc0c84398b

Observation adea1b50-9b03-4a63-8dd1-4987b7d38a03 · outbound

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

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-14T12:51:33.158426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:51:33.158426Z digest=sha256:f8cb9454dc6285faf85c26a306b66bd163cf653127b906bab5f4b494df211d36

Observation dae34daf-766e-45f6-a9bf-d3bdfca65e44 · outbound

This paper cites Deep appearance features for abnormal behavior detection in video.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Deep appearance features for abnormal behavior detection in video

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.562335Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.163230Z digest=sha256:94b05d324ebdca26e8fd4bdc489537b1bef3641212f29c0d0992275ff45b3b95

Observation 39806a4d-4cf4-4a47-8480-396b86a29c38 · outbound

This paper cites Striving for Simplicity: The All Convolutional Net.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Striving for Simplicity: The All Convolutional Net

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-14T12:51:33.168038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:51:33.168038Z digest=sha256:bd9613f3501fc4b71d8f2c6c97cd2763681839e49e8d84fd30a9c99abf4e6387

Observation 331754ac-b2ca-4930-a468-65939bff30f1 · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Dropout: A simple way to prevent neural networks from overfitting

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.546255Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.172969Z digest=sha256:6ffb712b40872ed936f985ae898bd236235476127aa57c18f419960a4ceec88c

Observation f7a90feb-4fb9-47a5-85bf-eae106abe3fc · outbound

This paper cites Real-world anomaly detection in surveillance videos.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Real-world anomaly detection in surveillance videos

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.530499Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.177757Z digest=sha256:817dbca8c5cb400a1202d8fa3a04ed569af2e20ac51ab5b47b79ea541b6565d9

Observation c990a30e-425f-4c5c-88a0-8cca54352a75 · outbound

This paper cites Online growing neural gas for anomaly detection in changing surveillance scenes.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Online growing neural gas for anomaly detection in changing surveillance scenes

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.514882Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.182311Z digest=sha256:4133f6be36f0be79d204a3662246655c3414cc92c03a08e48a0673392ccb68d4

Observation 6d1ada5a-a51d-4475-a068-c2cefa35158d · outbound

This paper cites Going deeper with convolutions.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Going deeper with convolutions

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.498766Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.186768Z digest=sha256:4f8561ebec63acd64910dc4961f99525b8e0414851caea1d404e01450c7bebf5

Observation dbc0bfce-a84b-4799-8e26-1fc784dccf03 · outbound

This paper cites Rethinking the inception architecture for computer vision.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Rethinking the inception architecture for computer vision

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.482588Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.191156Z digest=sha256:b21e593362b43ff10ffc9c6c3a81e1f386e4f7859518602433e78862658ef801

Observation 925b8d97-38c5-472e-848e-d0db4963aac7 · outbound

This paper cites Action recognition with improved trajectories.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Action recognition with improved trajectories

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.466802Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.195526Z digest=sha256:63117f48477182b5d7aa6eb6447af7aa69f4158e12036915ea016446a20abd07

Observation 55168477-daa9-42b5-b49d-b3aeaa4bfa66 · outbound

This paper cites Simoncelli.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Simoncelli

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.449584Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.200073Z digest=sha256:9f2db2571f570ec817cde1b3d3e308c63fa94e0dc03ee3f39d91fb94a70d778b

Observation d44b6ca6-c65f-49f6-9565-2f0080d703e9 · outbound

This paper cites Detecting anomalous events in videos by learning deep representations of appearance and motion.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Detecting anomalous events in videos by learning deep representations of appearance and motion

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.431253Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.204934Z digest=sha256:17059a04a193e00c21808158bffa67b9a600c7043de651bc9d39599409b66107

Observation f3e8a5e8-a128-42a1-8672-5ba56beaa1e8 · outbound

This paper cites Anomalous behaviour detection using spatiotemporal oriented energies, subset inclusion histogram comparison and event-driven processing.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Anomalous behaviour detection using spatiotemporal oriented energies, subset inclusion histogram comparison and event-driven processing

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.413545Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.209586Z digest=sha256:b090fc6d2fd921ef0a8af2a224f3285e03de3380358ad109562211c5d5c40392

Observation c35ab9b2-d1ab-413e-bc32-1e98f2e225fa · outbound

This paper cites an unresolved cited work.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:51:33.397801Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.214679Z digest=sha256:5b0df30790e29e524763f993bfe7920b181cc10558098dcfc2bb77036fd15960

Observation 18ac86c3-671e-4637-9f61-99d0a4c421f7 · outbound

This paper cites Video anomaly detection based on locality sensitive hashing filters.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Video anomaly detection based on locality sensitive hashing filters

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.382354Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.219233Z digest=sha256:81c3d3e77cbf8f6b9e689bd58c9b03e9c4c98ad2e5ef692a1c3875f217bbc7e7

Observation 794fc2b5-b9a8-41f3-a87e-e0a00da9cc54 · outbound

This paper cites an unresolved cited work.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:51:33.365047Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.223899Z digest=sha256:269a3321aa084ba89abeb3970b22e987195a1877300dd4c52772cb845cbee047

Observation ac12b64c-16e8-449c-a5bf-320cd102a1df · outbound

This paper cites write newline.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence write newline

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-14T12:51:33.228744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:51:33.228744Z digest=sha256:5b38656e2272e6c2b9c3b001c5c7d642c8dd539939fa318ce5d408aa80dd5ce8

Observation 0049cc5c-eede-4f30-b776-2db363a76a56 · outbound

This paper cites The relationship between precision-recall and roc curves.

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence The relationship between precision-recall and roc curves

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:51:33.338342Z

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.

source=arxiv_source observed=2026-08-14T12:51:33.234480Z digest=sha256:256b2e06bd26e87271a0a2acff9a11359b8c5dff814ea482462f7dff193cbbf6

Pith citing papers

No inbound Pith citation observations are available.