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Multichannel Attention Refinement for Video Question Answering

https://doi.org/10.1145/3366710
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-46478-7_28openalex-snapshot
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
inferredcites →https://doi.org/10.1007/s11263-016-0981-7openalex-snapshot
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
inferredcites →https://doi.org/10.1007/s11263-017-1033-7openalex-snapshot
Uncovering the Temporal Context for Video Question Answering
inferredcites →https://doi.org/10.1016/j.ins.2013.12.052openalex-snapshot
Action recognition based on overcomplete independent components analysis
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2014.223openalex-snapshot
Large-Scale Video Classification with Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298698openalex-snapshot
ActivityNet: A large-scale video benchmark for human activity understanding
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.2016.10openalex-snapshot
Stacked Attention Networks for Image Question Answering
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.2016.494openalex-snapshot
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
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.2016.501openalex-snapshot
MovieQA: Understanding Stories in Movies through Question-Answering
inferredcites →https://doi.org/10.1109/cvpr.2016.502openalex-snapshot
TGIF: A New Dataset and Benchmark on Animated GIF Description
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.149openalex-snapshot
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2017.347openalex-snapshot
End-to-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering
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.2017.667openalex-snapshot
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
inferredcites →https://doi.org/10.1109/cvpr.2017.670openalex-snapshot
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2018.00675openalex-snapshot
A Closer Look at Spatiotemporal Convolutions for Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00685openalex-snapshot
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
inferredcites →https://doi.org/10.1109/cvpr.2018.00688openalex-snapshot
Motion-Appearance Co-memory Networks for Video Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2019.00644openalex-snapshot
Deep Modular Co-Attention Networks for Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2019.01058openalex-snapshot
Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction
inferredcites →https://doi.org/10.1109/icassp.2001.941230openalex-snapshot
Video genre classification using dynamics
inferredcites →https://doi.org/10.1109/icassp.2017.7952132openalex-snapshot
CNN architectures for large-scale audio classification
inferredcites →https://doi.org/10.1109/icassp.2017.7952261openalex-snapshot
Audio Set: An ontology and human-labeled dataset for audio events
inferredcites →https://doi.org/10.1109/iccv.2015.279openalex-snapshot
VQA: Visual Question Answering
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.2017.202openalex-snapshot
Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering
inferredcites →https://doi.org/10.1109/iccv.2017.83openalex-snapshot
Dense-Captioning Events in Videos
inferredcites →https://doi.org/10.1109/tip.2017.2746267openalex-snapshot
Unifying the Video and Question Attentions for Open-Ended Video Question Answering
inferredcites →https://doi.org/10.1109/tip.2018.2859820openalex-snapshot
A Better Way to Attend: Attention With Trees for Video Question Answering
inferredcites →https://doi.org/10.1109/tkde.2017.2654445openalex-snapshot
Learning on Big Graph: Label Inference and Regularization with Anchor Hierarchy
inferredcites →https://doi.org/10.1109/tmm.2018.2802648openalex-snapshot
Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks
inferredcites →https://doi.org/10.1109/tnnls.2018.2817340openalex-snapshot
Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering
inferredcites →https://doi.org/10.1109/tpami.2012.59openalex-snapshot
3D Convolutional Neural Networks for Human Action Recognition
inferredcites →https://doi.org/10.1109/tpami.2019.2894139openalex-snapshot
Hierarchical LSTMs with Adaptive Attention for Visual Captioning
inferredcites →https://doi.org/10.1145/1291233.1291311openalex-snapshot
A 3-dimensional sift descriptor and its application to action recognition
inferredcites →https://doi.org/10.1145/2502081.2502093openalex-snapshot
Attribute-augmented semantic hierarchy
inferredcites →https://doi.org/10.1145/2647868.2654889openalex-snapshot
Caffe
inferredcites →https://doi.org/10.1145/2978656openalex-snapshot
Learning from Collective Intelligence
inferredcites →https://doi.org/10.1145/3077136.3080797openalex-snapshot
Attentive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3123266.3123427openalex-snapshot
Video Question Answering via Gradually Refined Attention over Appearance and Motion
inferredcites →https://doi.org/10.1609/aaai.v33i01.33019127openalex-snapshot
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
inferredcites →https://doi.org/10.18653/v1/d16-1044openalex-snapshot
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
inferredcites →https://doi.org/10.18653/v1/w16-1609openalex-snapshot
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation
inferredcites →https://doi.org/10.24963/ijcai.2017/492openalex-snapshot
Video Question Answering via Hierarchical Spatio-Temporal Attention Networks
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s00521-024-09482-8openalex-snapshot
Video Q &A based on two-stage deep exploration of temporally-evolving features with enhanced cross-modal attention mechanism
inferred← citeshttps://doi.org/10.1007/s11263-024-02289-zopenalex-snapshot
CLIP-Powered TASS: Target-Aware Single-Stream Network for Audio-Visual Question Answering
inferred← citeshttps://doi.org/10.1016/j.jvcir.2024.104320openalex-snapshot
Video Question Answering: A survey of the state-of-the-art
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134899openalex-snapshot
Temporal modality refinement for temporal moment localization via language and video-image question answering tasks
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01660openalex-snapshot
Look Before you Speak: Visually Contextualized Utterances
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01743openalex-snapshot
End-to-end Generative Pretraining for Multimodal Video Captioning
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00171openalex-snapshot
Just Ask: Learning to Answer Questions from Millions of Narrated Videos
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01282openalex-snapshot
Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer
inferred← citeshttps://doi.org/10.1109/icme51207.2021.9428225openalex-snapshot
Fusing Temporally Distributed Multi-Modal Semantic Clues for Video Question Answering
inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3278492openalex-snapshot
Multi-Granularity Interaction and Integration Network for Video Question Answering
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3475510openalex-snapshot
Prompting Video-Language Foundation Models With Domain-Specific Fine-Grained Heuristics for Video Question Answering
inferred← citeshttps://doi.org/10.1109/tip.2024.3390984openalex-snapshot
Multi-Granularity Contrastive Cross-Modal Collaborative Generation for End-to-End Long-Term Video Question Answering
inferred← citeshttps://doi.org/10.1109/tmm.2023.3323878openalex-snapshot
Locate Before Answering: Answer Guided Question Localization for Video Question Answering
inferred← citeshttps://doi.org/10.1109/tmm.2023.3333192openalex-snapshot
PSAM: Parameter-Free Spatiotemporal Attention Mechanism for Video Question Answering
inferred← citeshttps://doi.org/10.1109/tmm.2024.3443661openalex-snapshot
HSSHG: Heuristic Semantics-Constrained Spatio-Temporal Heterogeneous Graph for VideoQA
inferred← citeshttps://doi.org/10.1109/tpami.2022.3173208openalex-snapshot
Learning to Answer Visual Questions From Web Videos
inferred← citeshttps://doi.org/10.1145/3475872openalex-snapshot
Response Generation by Jointly Modeling Personalized Linguistic Styles and Emotions
inferred← citeshttps://doi.org/10.1145/3503161.3548291openalex-snapshot
AVQA: A Dataset for Audio-Visual Question Answering on Videos
inferred← citeshttps://doi.org/10.1145/3565266openalex-snapshot
On Modality Bias Recognition and Reduction
inferred← citeshttps://doi.org/10.1145/3569584openalex-snapshot
A Differentiable Parallel Sampler for Efficient Video Classification
inferred← citeshttps://doi.org/10.1145/3579825openalex-snapshot
Fine-Grained Text-to-Video Temporal Grounding from Coarse Boundary
inferred← citeshttps://doi.org/10.1145/3585010openalex-snapshot
Visual Paraphrase Generation with Key Information Retained
inferred← citeshttps://doi.org/10.1145/3630101openalex-snapshot
Hierarchical Synergy-Enhanced Multimodal Relational Network for Video Question Answering
inferred← citeshttps://doi.org/10.1145/3672079openalex-snapshot
Toward Long Form Audio-Visual Video Understanding
inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.432openalex-snapshot
Video Question Answering: Datasets, Algorithms and Challenges
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.630openalex-snapshot
Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamic Audio-Visual Scenarios
inferred← citeshttps://doi.org/10.23919/eusipco54536.2021.9616257openalex-snapshot
Watch, Listen, and Answer: Open-Ended VideoQA with Modulated Multi-Stream 3D ConvNets
inferred← citeshttps://doi.org/10.70675/802872a7z8092z4556za1fdz2c7af45f0e72openalex-snapshot
Learning visual language models for video understanding
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