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 751–800 of 1149 papers

TitleStatusHype
HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model—0
HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition—0
Hierarchical Action Recognition: A Contrastive Video-Language Approach with Hierarchical Interactions—0
HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding—0
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding—0
Highlight Timestamp Detection Model for Comedy Videos via Multimodal Sentiment Analysis—0
HLVU : A New Challenge to Test Deep Understanding of Movies the Way Humans do—0
H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving—0
How Can Objects Help Video-Language Understanding?—0
How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos—0
How Well Can General Vision-Language Models Learn Medicine By Watching Public Educational Videos?—0
HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understanding—0
HumanVBench: Exploring Human-Centric Video Understanding Capabilities of MLLMs with Synthetic Benchmark Data—0
HuMoCon: Concept Discovery for Human Motion Understanding—0
i-Code: An Integrative and Composable Multimodal Learning Framework—0
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding—0
Identity-aware Graph Memory Network for Action Detection—0
iMOVE: Instance-Motion-Aware Video Understanding—0
Impossible Videos—0
Improving LLM Video Understanding with 16 Frames Per Second—0
Improving Video Model Transfer With Dynamic Representation Learning—0
Inductive Attention for Video Action Anticipation—0
InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding—0
InstructionBench: An Instructional Video Understanding Benchmark—0
Instrument-tissue Interaction Detection Framework for Surgical Video Understanding—0
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection—0
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output—0
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model—0
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation—0
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling—0
InternVQA: Advancing Compressed Video Quality Assessment with Distilling Large Foundation Model—0
Interpretable Action Recognition on Hard to Classify Actions—0
InterRVOS: Interaction-aware Referring Video Object Segmentation—0
In-the-Wild Video Question Answering—0
Inverse Compositional Learning for Weakly-supervised Relation Grounding—0
IPAD: Industrial Process Anomaly Detection Dataset—0
IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes—0
IQViC: In-context, Question Adaptive Vision Compressor for Long-term Video Understanding LMMs—0
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?—0
Joint Engagement Classification using Video Augmentation Techniques for Multi-person Human-robot Interaction—0
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals—0
Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input—0
KeyVideoLLM: Towards Large-scale Video Keyframe Selection—0
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
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