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

Showing 276300 of 1149 papers

TitleStatusHype
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud VideosCode1
MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video UnderstandingCode1
A Simple LLM Framework for Long-Range Video Question-AnsweringCode1
CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot InteractionCode1
A Dataset for Medical Instructional Video Classification and Question AnsweringCode1
M^3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object SegmentationCode1
MECD+: Unlocking Event-Level Causal Graph Discovery for Video ReasoningCode1
CATER: A diagnostic dataset for Compositional Actions and TEmporal ReasoningCode1
CAST: Cross-Attention in Space and Time for Video Action RecognitionCode1
Towards Visually Explaining Video Understanding Networks with PerturbationCode1
Long Movie Clip Classification with State-Space Video ModelsCode1
Lightweight Network Architecture for Real-Time Action RecognitionCode1
EPIC Fields: Marrying 3D Geometry and Video UnderstandingCode1
Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and MitigationCode1
Leveraging triplet loss for unsupervised action segmentationCode1
Learning the Predictability of the FutureCode1
Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event AnalysisCode1
Learning Transferable Spatiotemporal Representations from Natural Script KnowledgeCode1
ETAD: Training Action Detection End to End on a LaptopCode1
Enhancing Self-supervised Video Representation Learning via Multi-level Feature OptimizationCode1
Learning Temporally Latent Causal Processes from General Temporal DataCode1
Localizing Moments in Long Video Via Multimodal GuidanceCode1
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object SegmentationCode1
LoVR: A Benchmark for Long Video Retrieval in Multimodal ContextsCode1
MH-DETR: Video Moment and Highlight Detection with Cross-modal TransformerCode1
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