Who Cited It

Learning Temporal Regularity in Video Sequences

2016 · 1,407 citations · 3 from inside this corpus

Mahmudul Hasan, Jonghyun Choi, Jan Neumann, Amit K. Roy–Chowdhury, Larry S. Davis low

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Learning Temporal Regularity in Video Sequences (2016)Learning Temporal Regularity …Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…Reducing the Dimensionality of Data with Neural Networks (2006)Reducing the Dimensionality o…Understanding the difficulty of training deep feedforward neural networks (2010)Understanding the difficulty …Speech recognition with deep recurrent neural networks (2013)Speech recognition with deep …Adaptive Subgradient Methods for Online Learning and Stochastic Optimization (2010)Adaptive Subgradient Methods …On the importance of initialization and momentum in deep learning (2013)On the importance of initiali…DeViSE: A Deep Visual-Semantic Embedding Model (2013)DeViSE: A Deep Visual-Semanti…Anomaly detection in crowded scenes (2010)Anomaly detection in crowded …Abnormal Event Detection at 150 FPS in MATLAB (2013)Abnormal Event Detection at 1…Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervise… (2019)Memorizing Normality to Detec…Future Frame Prediction for Anomaly Detection - A New Baseline (2018)Future Frame Prediction for A…[No title in the source record — Newcastle University ePrints (Newcastle Univesity)][No title in the source recor…
13 of 13 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

What this paper cites, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
Reducing the Dimensionality of Data with Neural Networks200621,247
Understanding the difficulty of training deep feedforward neural networks201012,673
Speech recognition with deep recurrent neural networks20138,916
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization20108,621
On the importance of initialization and momentum in deep learning20133,523
DeViSE: A Deep Visual-Semantic Embedding Model20132,068
Anomaly detection in crowded scenes20101,535
Abnormal Event Detection at 150 FPS in MATLAB20131,459

What cites it, inside the corpus

PaperYearCited
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervise…20191,730
Future Frame Prediction for Anomaly Detection - A New Baseline20181,518
[No title in the source record — Newcastle University ePrints (Newcastle Univesity)]1,494

Links

Download BibTeX · Download RIS · DOI · OpenAlex record

Topics

Anomaly Detection Techniques and ApplicationsComputer Science
Human Pose and Action RecognitionComputer Science
Generative Adversarial Networks and Image SynthesisComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports5 author record(s) attached.
  • supports83 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:59+00:00.

sha256 59007f057c7dae86…