SOTAVerified

Video Understanding

A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.

Source: Action Detection from a Robot-Car Perspective

Papers

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Showing 901–925 of 1149 papers

TitleStatusHype
Kill Two Birds With One Stone: Boosting Both Object Detection Accuracy and Speed With adaptive Patch-of-Interest Composition—0
KnowIT VQA: Answering Knowledge-Based Questions about Videos—0
Knowledge-Based Visual Question Answering in Videos—0
Koala: Key frame-conditioned long video-LLM—0
Label Denoising with Large Ensembles of Heterogeneous Neural Networks—0
Language as the Medium: Multimodal Video Classification through text only—0
M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers—0
Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges—0
Large-Scale Video Classification with Feature Space Augmentation coupled with Learned Label Relations and Ensembling—0
Large Scale Video Representation Learning via Relational Graph Clustering—0
Large-Scale YouTube-8M Video Understanding with Deep Neural Networks—0
LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision—0
Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection—0
Learning Audio-guided Video Representation with Gated Attention for Video-Text Retrieval—0
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer—0
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking—0
Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment—0
Learning from Multiple Sources for Video Summarisation—0
Learning Higher-order Object Interactions for Keypoint-based Video Understanding—0
Learning Object State Changes in Videos: An Open-World Perspective—0
Learning reusable concepts across different egocentric video understanding tasks—0
Learning Space-Time Semantic Correspondences—0
Learning text-to-video retrieval from image captioning—0
Learning to Focus on the Foreground for Temporal Sentence Grounding—0
Learning to Visually Connect Actions and their Effects—0
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