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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 651–700 of 1149 papers

TitleStatusHype
DOAD: Decoupled One Stage Action Detection Network—0
DocVideoQA: Towards Comprehensive Understanding of Document-Centric Videos through Question Answering—0
Domain Adaptation of VLM for Soccer Video Understanding—0
DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation—0
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning—0
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model—0
DrVideo: Document Retrieval Based Long Video Understanding—0
Dilated Temporal Relational Adversarial Network for Generic Video Summarization—0
DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM—0
DualX-VSR: Dual Axial SpatialTemporal Transformer for Real-World Video Super-Resolution without Motion Compensation—0
DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs—0
Dynamic Appearance: A Video Representation for Action Recognition with Joint Training—0
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition—0
Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering—0
DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding—0
DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding—0
EAGLE: Egocentric AGgregated Language-video Engine—0
Efficient Annotation and Learning for 3D Hand Pose Estimation: A Survey—0
Efficient Modelling Across Time of Human Actions and Interactions—0
Efficient Motion-Aware Video MLLM—0
Efficient Video Understanding via Layered Multi Frame-Rate Analysis—0
EgoEnv: Human-centric environment representations from egocentric video—0
Egocentric Video Task Translation—0
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding—0
Egok360: A 360 Egocentric Kinetic Human Activity Video Dataset—0
Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation—0
ElasticPlay: Interactive Video Summarization with Dynamic Time Budgets—0
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding—0
EmbRACE-3K: Embodied Reasoning and Action in Complex Environments—0
Empowering Agentic Video Analytics Systems with Video Language Models—0
End-to-end Generative Pretraining for Multimodal Video Captioning—0
End-to-End Joint Semantic Segmentation of Actors and Actions in Video—0
End-to-End Video Classification with Knowledge Graphs—0
Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning—0
Enhancing Long Video Understanding via Hierarchical Event-Based Memory—0
Enhancing Multimodal LLM for Detailed and Accurate Video Captioning using Multi-Round Preference Optimization—0
Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training—0
Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis—0
Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model—0
EVA: An Embodied World Model for Future Video Anticipation—0
Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment—0
EVQAScore: Efficient Video Question Answering Data Evaluation—0
Exo2Ego: Exocentric Knowledge Guided MLLM for Egocentric Video Understanding—0
Egocentric and Exocentric Methods: A Short Survey—0
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling—0
Exploiting Spatial-Temporal Modelling and Multi-Modal Fusion for Human Action Recognition—0
Exploring Anchor-based Detection for Ego4D Natural Language Query—0
Exploring Missing Modality in Multimodal Egocentric Datasets—0
Exploring State Change Capture of Heterogeneous Backbones @ Ego4D Hands and Objects Challenge 2022—0
Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding—0
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