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 701–750 of 1149 papers

TitleStatusHype
Extending Video Masked Autoencoders to 128 frames—0
Extensible Hierarchical Method of Detecting Interactive Actions for Video Understanding—0
Real-Time Segmentation Networks should be Latency Aware—0
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning—0
FaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models—0
FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding—0
Fewer Tokens and Fewer Videos: Extending Video Understanding Abilities in Large Vision-Language Models—0
Fill-in-the-Blank: A Challenging Video Understanding Evaluation Framework—0
Fine-Grain Annotation of Cricket Videos—0
Fine-Grained Video Captioning through Scene Graph Consolidation—0
CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval—0
First Place Solution to the Multiple-choice Video QA Track of The Second Perception Test Challenge—0
Flatten: Video Action Recognition is an Image Classification task—0
Flexible Frame Selection for Efficient Video Reasoning—0
FlexSelect: Flexible Token Selection for Efficient Long Video Understanding—0
FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering—0
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions—0
Four Eyes Are Better Than Two: Harnessing the Collaborative Potential of Large Models via Differentiated Thinking and Complementary Ensembles—0
Frame-Voyager: Learning to Query Frames for Video Large Language Models—0
From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models—0
From Broadcast to Minimap: Achieving State-of-the-Art SoccerNet Game State Reconstruction—0
From Image to Video, what do we need in multimodal LLMs?—0
From Shots to Stories: LLM-Assisted Video Editing with Unified Language Representations—0
From Trial to Triumph: Advancing Long Video Understanding via Visual Context Sample Scaling and Self-reward Alignment—0
Fully Automated Hand Hygiene Monitoring\ Operating Room using 3D Convolutional Neural Network—0
Future semantic segmentation of time-lapsed videos with large temporal displacement—0
Gameplay Highlights Generation—0
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention—0
Generating the Future With Adversarial Transformers—0
Generating Videos with Scene Dynamics—0
Generative Frame Sampler for Long Video Understanding—0
Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning—0
GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-grained Video-language Learning—0
Global Motion Understanding in Large-Scale Video Object Segmentation—0
Global Self-Attention Networks—0
Global Self-Attention Networks for Image Recognition—0
GPT-4o: Visual perception performance of multimodal large language models in piglet activity understanding—0
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation—0
Gradient Frequency Modulation for Visually Explaining Video Understanding Models—0
GraphVid: It Only Takes a Few Nodes to Understand a Video—0
Grounded Objects and Interactions for Video Captioning—0
Grounded Video Situation Recognition—0
Grounding Action Descriptions in Videos—0
Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection—0
GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning—0
GVT2RPM: An Empirical Study for General Video Transformer Adaptation to Remote Physiological Measurement—0
H2VU-Benchmark: A Comprehensive Benchmark for Hierarchical Holistic Video Understanding—0
HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models—0
Harnessing Object and Scene Semantics for Large-Scale Video Understanding—0
HAVANA: Hierarchical stochastic neighbor embedding for Accelerated Video ANnotAtions—0
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