On the public citation graph

Summarization of Videos with the Signature Transform

0 signed · 53 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01237-3_24openalex-snapshot
Retrospective Encoders for Video Summarization
inferredcites →https://doi.org/10.1007/978-3-030-01258-8_22openalex-snapshot
Video Summarization Using Fully Convolutional Sequence Networks
inferredcites →https://doi.org/10.1007/978-3-030-21074-8_4openalex-snapshot
Summarizing Videos with Attention
inferredcites →https://doi.org/10.1007/978-3-030-58574-7_44openalex-snapshot
Multi-source Open-Set Deep Adversarial Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-031-20080-9_42openalex-snapshot
Simple Open-Vocabulary Object Detection
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_33openalex-snapshot
Creating Summaries from User Videos
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_47openalex-snapshot
Video Summarization with Long Short-Term Memory
inferredcites →https://doi.org/10.1016/j.iswa.2022.200140openalex-snapshot
Detection of glaucoma using three-stage training with EfficientNet
inferredcites →https://doi.org/10.1016/j.patcog.2021.108312openalex-snapshot
Learning multiscale hierarchical attention for video summarization
inferredcites →https://doi.org/10.1016/j.patcog.2022.108840openalex-snapshot
Video summarization with a convolutional attentive adversarial network
inferredcites →https://doi.org/10.1016/j.patrec.2010.08.004openalex-snapshot
VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method
inferredcites →https://doi.org/10.1016/j.simpa.2022.100325openalex-snapshot
On the applicability of the Hadamard as an input modulator for problems of classification
inferredcites →https://doi.org/10.1109/cvpr.2015.7298928openalex-snapshot
Video summarization by learning submodular mixtures of objectives
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.118openalex-snapshot
Enhancing Video Summarization via Vision-Language Embedding
inferredcites →https://doi.org/10.1109/cvpr.2017.318openalex-snapshot
Unsupervised Video Summarization with Adversarial LSTM Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00776openalex-snapshot
Viewpoint-Aware Video Summarization
inferredcites →https://doi.org/10.1109/cvpr.2019.00293openalex-snapshot
MnasNet: Platform-Aware Neural Architecture Search for Mobile
inferredcites →https://doi.org/10.1109/cvpr.2019.00778openalex-snapshot
Rethinking the Evaluation of Video Summaries
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01003openalex-snapshot
What do navigation agents learn about their environment?
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01042openalex-snapshot
High-Resolution Image Synthesis with Latent Diffusion Models
inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot
Learning Spatiotemporal Features with 3D Convolutional Networks
inferredcites →https://doi.org/10.1109/icpr48806.2021.9412835openalex-snapshot
AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies
inferredcites →https://doi.org/10.1109/tip.2020.3039886openalex-snapshot
DSNet: A Flexible Detect-to-Summarize Network for Video Summarization
inferredcites →https://doi.org/10.1145/3123266.3123328openalex-snapshot
Hierarchical Recurrent Neural Network for Video Summarization
inferredcites →https://doi.org/10.1145/3528233.3530757openalex-snapshot
Palette: Image-to-Image Diffusion Models
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1371/journal.pcbi.1009267openalex-snapshot
Unveiling functions of the visual cortex using task-specific deep neural networks
inferredcites →https://doi.org/10.1609/aaai.v32i1.12255openalex-snapshot
Deep Reinforcement Learning for Unsupervised Video Summarization With Diversity-Representativeness Reward
inferredcites →https://doi.org/10.1609/aaai.v33i01.33019143openalex-snapshot
Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization
inferredcites →https://doi.org/10.3390/drones7020114openalex-snapshot
Semantic Scene Understanding with Large Language Models on Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.3390/electronics12102192openalex-snapshot
Signature and Log-Signature for the Study of Empirical Distributions Generated with GANs
inferredcites →https://doi.org/10.48550/arxiv.1405.4537openalex-snapshot
Rough paths, Signatures and the modelling of functions on streams
inferredcites →https://doi.org/10.48550/arxiv.2001.00706openalex-snapshot
Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-snapshot
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
inferredcites →https://doi.org/10.48550/arxiv.2010.14406openalex-snapshot
Transporter Networks: Rearranging the Visual World for Robotic Manipulation
inferredcites →https://doi.org/10.48550/arxiv.2103.00020openalex-snapshot
Learning Transferable Visual Models From Natural Language Supervision
inferredcites →https://doi.org/10.48550/arxiv.2104.13921openalex-snapshot
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
inferredcites →https://doi.org/10.48550/arxiv.2107.00650openalex-snapshot
CLIP-It! Language-Guided Video Summarization
inferredcites →https://doi.org/10.48550/arxiv.2112.10752openalex-snapshot
High-Resolution Image Synthesis with Latent Diffusion Models
inferredcites →https://doi.org/10.48550/arxiv.2201.07207openalex-snapshot
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
inferredcites →https://doi.org/10.48550/arxiv.2204.11134openalex-snapshot
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?
inferredcites →https://doi.org/10.48550/arxiv.2205.06230openalex-snapshot
Simple Open-Vocabulary Object Detection with Vision Transformers

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103693openalex-snapshot
Multi-task Hierarchical Heterogeneous Fusion Framework for multimodal summarization
inferred← citeshttps://doi.org/10.1016/j.procs.2023.10.155openalex-snapshot
UMAP for Geospatial Data Visualization
inferred← citeshttps://doi.org/10.1063/5.0198759openalex-snapshot
Automated cricket commentary generation using deep learning
inferred← citeshttps://doi.org/10.1109/access.2024.3383060openalex-snapshot
The Short Video Popularity Prediction Using Internet of Things and Deep Learning
inferred← citeshttps://doi.org/10.29121/shodhkosh.v5.i1.2024.5204openalex-snapshot
EXPLORING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE PRODUCTION OF DEEPFAKE CONTENT FOR SOCIAL MEDIA: A TECHNOLOGICAL AND SOCIAL ANALYSIS
inferred← citeshttps://doi.org/10.3390/app14031032openalex-snapshot
Ensemble-Based Knowledge Distillation for Video Anomaly Detection
inferred← citeshttps://doi.org/10.3390/electronics12102192openalex-snapshot
Signature and Log-Signature for the Study of Empirical Distributions Generated with GANs
inferred← citeshttps://doi.org/10.3390/electronics12204351openalex-snapshot
Siamese Visual Tracking with Spatial-Channel Attention and Ranking Head Network
inferred← citeshttps://doi.org/10.3390/jmse11112084openalex-snapshot
Evaluating the Performance of a Dual-Frequency Multibeam Echosounder for Small Target Detection
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.