On the public citation graph

Rich Visual and Language Representation with Complementary Semantics for Video Captioning

https://doi.org/10.1145/3303083
0 signed · 71 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-3-030-01216-8_43openalex-snapshot
ECO: Efficient Convolutional Network for Online Video Understanding
inferredcites →https://doi.org/10.1007/978-3-030-01261-8_22openalex-snapshot
Less Is More: Picking Informative Frames for Video Captioning
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298878openalex-snapshot
Long-term recurrent convolutional networks for visual recognition and description
inferredcites →https://doi.org/10.1109/cvpr.2015.7298932openalex-snapshot
Deep visual-semantic alignments for generating image descriptions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298935openalex-snapshot
Show and tell: A neural image caption generator
inferredcites →https://doi.org/10.1109/cvpr.2015.7299087openalex-snapshot
CIDEr: Consensus-based image description evaluation
inferredcites →https://doi.org/10.1109/cvpr.2015.7299101openalex-snapshot
Beyond short snippets: Deep networks for video classification
inferredcites →https://doi.org/10.1109/cvpr.2016.117openalex-snapshot
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning
inferredcites →https://doi.org/10.1109/cvpr.2016.29openalex-snapshot
What Value Do Explicit High Level Concepts Have in Vision to Language Problems?
inferredcites →https://doi.org/10.1109/cvpr.2016.496openalex-snapshot
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.497openalex-snapshot
Jointly Modeling Embedding and Translation to Bridge Video and Language
inferredcites →https://doi.org/10.1109/cvpr.2016.571openalex-snapshot
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.111openalex-snapshot
Video Captioning with Transferred Semantic Attributes
inferredcites →https://doi.org/10.1109/cvpr.2017.127openalex-snapshot
Semantic Compositional Networks for Visual Captioning
inferredcites →https://doi.org/10.1109/cvpr.2017.339openalex-snapshot
Hierarchical Boundary-Aware Neural Encoder for Video Captioning
inferredcites →https://doi.org/10.1109/cvpr.2017.502openalex-snapshot
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
inferredcites →https://doi.org/10.1109/cvpr.2017.548openalex-snapshot
Weakly Supervised Dense Video Captioning
inferredcites →https://doi.org/10.1109/cvpr.2018.00521openalex-snapshot
Categorizing Concepts with Basic Level for Vision-to-Language
inferredcites →https://doi.org/10.1109/cvpr.2018.00784openalex-snapshot
M3: Multimodal Memory Modelling for Video Captioning
inferredcites →https://doi.org/10.1109/cvpr.2018.00795openalex-snapshot
Reconstruction Network for Video Captioning
inferredcites →https://doi.org/10.1109/iccv.2013.337openalex-snapshot
YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition
inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot
Learning Spatiotemporal Features with 3D Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2015.512openalex-snapshot
Describing Videos by Exploiting Temporal Structure
inferredcites →https://doi.org/10.1109/iccv.2015.515openalex-snapshot
Sequence to Sequence -- Video to Text
inferredcites →https://doi.org/10.1109/iccv.2017.524openalex-snapshot
Boosting Image Captioning with Attributes
inferredcites →https://doi.org/10.1109/icme.2017.8019408openalex-snapshot
Image captioning with deep LSTM based on sequential residual
inferredcites →https://doi.org/10.1109/icme.2018.8486437openalex-snapshot
Refining Attention: A Sequential Attention Model for Image Captioning
inferredcites →https://doi.org/10.1109/tcyb.2018.2831447openalex-snapshot
Describing Video With Attention-Based Bidirectional LSTM
inferredcites →https://doi.org/10.1109/tip.2018.2855415openalex-snapshot
More is Better: Precise and Detailed Image Captioning Using Online Positive Recall and Missing Concepts Mining
inferredcites →https://doi.org/10.1109/tip.2018.2855422openalex-snapshot
Video Captioning by Adversarial LSTM
inferredcites →https://doi.org/10.1109/tkde.2009.145openalex-snapshot
Multimodal Fusion for Video Search Reranking
inferredcites →https://doi.org/10.1109/tmm.2015.2477044openalex-snapshot
Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks
inferredcites →https://doi.org/10.1109/tmm.2017.2729019openalex-snapshot
Video Captioning With Attention-Based LSTM and Semantic Consistency
inferredcites →https://doi.org/10.1109/tnnls.2018.2851077openalex-snapshot
From Deterministic to Generative: Multimodal Stochastic RNNs for Video Captioning
inferredcites →https://doi.org/10.1145/1273496.1273577openalex-snapshot
Three new graphical models for statistical language modelling
inferredcites →https://doi.org/10.1145/2647868.2654889openalex-snapshot
Caffe
inferredcites →https://doi.org/10.1145/2964284.2984062openalex-snapshot
Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation
inferredcites →https://doi.org/10.1145/2964284.2984064openalex-snapshot
Early Embedding and Late Reranking for Video Captioning
inferredcites →https://doi.org/10.1145/2964284.2984065openalex-snapshot
Describing Videos using Multi-modal Fusion
inferredcites →https://doi.org/10.1145/2964284.2984066openalex-snapshot
Multimodal Video Description
inferredcites →https://doi.org/10.1145/3123266.3127895openalex-snapshot
Richer Semantic Visual and Language Representation for Video Captioning
inferredcites →https://doi.org/10.3115/1073083.1073135openalex-snapshot
BLEU
inferredcites →https://doi.org/10.3115/1218955.1219032openalex-snapshot
Automatic evaluation of machine translation quality using longest common subsequence and skip-bigram statistics
inferredcites →https://doi.org/10.3115/v1/n15-1173openalex-snapshot
Translating Videos to Natural Language Using Deep Recurrent Neural Networks

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s10462-021-10104-1openalex-snapshot
A comprehensive review of the video-to-text problem
inferred← citeshttps://doi.org/10.1007/s11042-020-09674-zopenalex-snapshot
Double-channel language feature mining based model for video description
inferred← citeshttps://doi.org/10.1007/s11042-026-21235-4openalex-snapshot
Ensemble-based multilingual video captioning with multimodel fusion of visual and audio cues
inferred← citeshttps://doi.org/10.1007/s11263-022-01624-6openalex-snapshot
Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning
inferred← citeshttps://doi.org/10.1007/s12652-024-04779-xopenalex-snapshot
Video emotional description with fact reinforcement and emotion awaking
inferred← citeshttps://doi.org/10.1007/s44196-025-01067-0openalex-snapshot
Exploring the Synergy between Very Large Transformer and LSTM Models for Effective Medical Captioning from Videos to Text: The Impact of Captioning in Healthcare
inferred← citeshttps://doi.org/10.1016/j.cviu.2023.103671openalex-snapshot
Video captioning: A comparative review of where we are and which could be the route
inferred← citeshttps://doi.org/10.1016/j.jbusres.2021.03.001openalex-snapshot
Ethical design in social media: Assessing the main performance measurements of user online behavior modification
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129639openalex-snapshot
SRVC-LA: Sparse regularization of visual context and latent attention based model for video description
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106744openalex-snapshot
Center-enhanced video captioning model with multimodal semantic alignment
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112192openalex-snapshot
Dual-hierarchical knowledge distillation for video captioning
inferred← citeshttps://doi.org/10.1109/access.2025.3564991openalex-snapshot
Human Scene Understanding Mechanism-Based Image Captioning for Blind Assistance
inferred← citeshttps://doi.org/10.1109/icivc61627.2024.10837308openalex-snapshot
Integrating Dynamic Routing with Reinforcement Learning and Multimodal Techniques for Visual Question Answering
inferred← citeshttps://doi.org/10.1109/tmm.2025.3535394openalex-snapshot
Vision-Language Relational Transformer for Video-to-Text Generation
inferred← citeshttps://doi.org/10.1145/3503927openalex-snapshot
Scenario-Aware Recurrent Transformer for Goal-Directed Video Captioning
inferred← citeshttps://doi.org/10.1145/3514250openalex-snapshot
Weakly Supervised Text-based Actor-Action Video Segmentation by Clip-level Multi-instance Learning
inferred← citeshttps://doi.org/10.1145/3539225openalex-snapshot
Retrieval Augmented Convolutional Encoder-decoder Networks for Video Captioning
inferred← citeshttps://doi.org/10.1145/3546828openalex-snapshot
Learning Video-Text Aligned Representations for Video Captioning
inferred← citeshttps://doi.org/10.1145/3550276openalex-snapshot
Semantic Embedding Guided Attention with Explicit Visual Feature Fusion for Video Captioning
inferred← citeshttps://doi.org/10.1145/3556978openalex-snapshot
Boosting Relationship Detection in Images with Multi-Granular Self-Supervised Learning
inferred← citeshttps://doi.org/10.1145/3579825openalex-snapshot
Fine-Grained Text-to-Video Temporal Grounding from Coarse Boundary
inferred← citeshttps://doi.org/10.1145/3587252openalex-snapshot
Video Captioning by Learning from Global Sentence and Looking Ahead
inferred← citeshttps://doi.org/10.1145/3588572openalex-snapshot
Semantic Enhanced Video Captioning with Multi-feature Fusion
inferred← citeshttps://doi.org/10.1145/3688804openalex-snapshot
MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples
inferred← citeshttps://doi.org/10.7717/peerj-cs.916openalex-snapshot
Video captioning based on vision transformer and reinforcement learning
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.