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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 601–650 of 1149 papers

TitleStatusHype
What can Off-the-Shelves Large Multi-Modal Models do for Dynamic Scene Graph Generation?—0
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets—0
When Work Matters: Transforming Classical Network Structures to Graph CNN—0
WildQA: In-the-Wild Video Question Answering—0
Wolf: Captioning Everything with a World Summarization Framework—0
WorldQA: Multimodal World Knowledge in Videos through Long-Chain Reasoning—0
WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs—0
X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding—0
YouMVOS: An Actor-Centric Multi-Shot Video Object Segmentation Dataset—0
YouTube-8M Video Understanding Challenge Approach and Applications—0
ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection—0
Zero-shot Action Localization via the Confidence of Large Vision-Language Models—0
Zero-Shot Action Recognition in Surveillance Videos—0
Zero-Shot Action Recognition in Videos: A Survey—0
Zero-Shot Long-Form Video Understanding through Screenplay—0
Zero-shot Shark Tracking and Biometrics from Aerial Imagery—0
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network—0
Zero-Shot Video Question Answering with Procedural Programs—0
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation—0
Multimodal Fusion and Coherence Modeling for Video Topic Segmentation—0
FE-Adapter: Adapting Image-based Emotion Classifiers to Videos—0
An Analysis of Data Transformation Effects on Segment Anything 2—0
PreMind: Multi-Agent Video Understanding for Advanced Indexing of Presentation-style Videos—0
2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation—0
3DSRBench: A Comprehensive 3D Spatial Reasoning Benchmark—0
3rd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation—0
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives—0
Abductive Ego-View Accident Video Understanding for Safe Driving Perception—0
ActAR: Actor-Driven Pose Embeddings for Video Action Recognition—0
Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions—0
Action Sensitivity Learning for Temporal Action Localization—0
Action Understanding with Multiple Classes of Actors—0
Actor-Action Semantic Segmentation with Grouping Process Models—0
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction—0
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction—0
AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization—0
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception—0
Adaptive Intermediate Representations for Video Understanding—0
Adaptive Video Understanding Agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoning—0
AdaTP: Attention-Debiased Token Pruning for Video Large Language Models—0
A Decade of Action Quality Assessment: Largest Systematic Survey of Trends, Challenges, and Future Directions—0
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems—0
Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging Attention Modality Reweighter—0
AE-Net:Adjoint Enhancement Network for Efficient Action Recognition in Video Understanding—0
AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection—0
Aggregating Frame-level Features for Large-Scale Video Classification—0
AirLetters: An Open Video Dataset of Characters Drawn in the Air—0
Aligned Better, Listen Better for Audio-Visual Large Language Models—0
ALLVB: All-in-One Long Video Understanding Benchmark—0
AMEGO: Active Memory from long EGOcentric videos—0
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