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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
CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding—0
Overview of TREC 2024 Medical Video Question Answering (MedVidQA) Track—0
IQViC: In-context, Question Adaptive Vision Compressor for Long-term Video Understanding LMMs—0
B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal TokensCode0
Apollo: An Exploration of Video Understanding in Large Multimodal Models—0
PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models—0
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation—0
VCA: Video Curious Agent for Long Video Understanding—0
COEF-VQ: Cost-Efficient Video Quality Understanding through a Cascaded Multimodal LLM Framework—0
Multi-Scale Contrastive Learning for Video Temporal Grounding—0
GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-grained Video-language Learning—0
3DSRBench: A Comprehensive 3D Spatial Reasoning Benchmark—0
Towards Long Video Understanding via Fine-detailed Video Story Generation—0
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling—0
Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model—0
Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection—0
VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding—0
Streaming Detection of Queried Event StartCode0
Progress-Aware Video Frame Captioning—0
SEAL: Semantic Attention Learning for Long Video Representation—0
VideoSAVi: Self-Aligned Video Language Models without Human Supervision—0
VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation—0
Look Every Frame All at Once: Video-Ma^2mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing—0
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training—0
Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark—0
SAVEn-Vid: Synergistic Audio-Visual Integration for Enhanced Understanding in Long Video Context—0
OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under OcclusionsCode0
ReWind: Understanding Long Videos with Instructed Learnable Memory—0
Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding—0
Extending Video Masked Autoencoders to 128 frames—0
Principles of Visual Tokens for Efficient Video Understanding—0
VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation—0
DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding—0
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction—0
ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models—0
Can MLLMs Guide Weakly-Supervised Temporal Action Localization Tasks?—0
EVQAScore: Efficient Video Question Answering Data Evaluation—0
Video RWKV:Video Action Recognition Based RWKV—0
Personalized Video Summarization by Multimodal Video Understanding—0
Video Token Merging for Long-form Video Understanding—0
Situational Scene Graph for Structured Human-centric Situation UnderstandingCode0
Zero-Shot Action Recognition in Surveillance Videos—0
Egocentric and Exocentric Methods: A Short Survey—0
Adaptive Video Understanding Agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoning—0
EVA: An Embodied World Model for Future Video Anticipation—0
ContextDet: Temporal Action Detection with Adaptive Context Aggregation—0
FIOVA: A Multi-Annotator Benchmark for Human-Aligned Video Captioning—0
Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling—0
Zero-shot Action Localization via the Confidence of Large Vision-Language Models—0
VidCompress: Memory-Enhanced Temporal Compression for Video Understanding in Large Language Models—0
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