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 10761100 of 1149 papers

TitleStatusHype
Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction0
Self-supervised video pretraining yields robust and more human-aligned visual representations0
Semantics-aware Test-time Adaptation for 3D Human Pose Estimation0
Semantic Segmentation on VSPW Dataset through Masked Video Consistency0
Semi-Parametric Video-Grounded Text Generation0
SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding0
ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries0
SkillFormer: Unified Multi-View Video Understanding for Proficiency Estimation0
Skimming and Scanning for Untrimmed Video Action Recognition0
Slicing Convolutional Neural Network for Crowd Video Understanding0
Slot-VLM: SlowFast Slots for Video-Language Modeling0
SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding0
SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability0
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding0
Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs0
Spatio-Temporal Context for Action Detection0
Spatio-Temporal Crop Aggregation for Video Representation Learning0
Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos0
Spatio-Temporal Video Representation Learning for AI Based Video Playback Style Prediction0
Speeding Up Action Recognition Using Dynamic Accumulation of Residuals in Compressed Domain0
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos0
Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions0
SPOT! Revisiting Video-Language Models for Event Understanding0
Stacked Temporal Attention: Improving First-person Action Recognition by Emphasizing Discriminative Clips0
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training0
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