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 851–900 of 1149 papers

TitleStatusHype
STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition—0
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding—0
PIDRo: Parallel Isomeric Attention with Dynamic Routing for Text-Video Retrieval—0
Self-Supervised Object Detection from Egocentric Videos—0
Relational Space-Time Query in Long-Form Videos—0
Few-Shot Referring Relationships in VideosCode0
UniFormerV2: Unlocking the Potential of Image ViTs for Video Understanding—0
Inverse Compositional Learning for Weakly-supervised Relation Grounding—0
Multimodal High-order Relation Transformer for Scene Boundary Detection—0
Joint Engagement Classification using Video Augmentation Techniques for Multi-person Human-robot Interaction—0
Inductive Attention for Video Action Anticipation—0
Egocentric Video Task Translation—0
Contextual Explainable Video Representation: Human Perception-based UnderstandingCode0
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data—0
Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images—0
Spatio-Temporal Crop Aggregation for Video Representation Learning—0
Dynamic Appearance: A Video Representation for Action Recognition with Joint Training—0
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset—0
Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022Code0
Exploring State Change Capture of Heterogeneous Backbones @ Ego4D Hands and Objects Challenge 2022—0
Grounded Video Situation Recognition—0
How Would The Viewer Feel? Estimating Wellbeing From Video ScenariosCode0
Self-supervised video pretraining yields robust and more human-aligned visual representations—0
Students taught by multimodal teachers are superior action recognizers—0
Compressed Vision for Efficient Video Understanding—0
Learning to Focus on the Foreground for Temporal Sentence Grounding—0
In-the-Wild Video Question Answering—0
Speeding Up Action Recognition Using Dynamic Accumulation of Residuals in Compressed Domain—0
AVT: Audio-Video Transformer for Multimodal Action Recognition—0
WildQA: In-the-Wild Video Question Answering—0
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions—0
Visual Subtitle Feature Enhanced Video Outline Generation—0
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding—0
Motion Sensitive Contrastive Learning for Self-supervised Video Representation—0
Exploring Anchor-based Detection for Ego4D Natural Language Query—0
SA-NET.v2: Real-time vehicle detection from oblique UAV images with use of uncertainty estimation in deep meta-learning—0
Two-Stream Transformer Architecture for Long Video Understanding—0
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation—0
EgoEnv: Human-centric environment representations from egocentric video—0
Video Swin Transformers for Egocentric Video Understanding @ Ego4D Challenges 2022—0
AE-Net:Adjoint Enhancement Network for Efficient Action Recognition in Video Understanding—0
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection—0
SVGraph: Learning Semantic Graphs from Instructional Videos—0
GraphVid: It Only Takes a Few Nodes to Understand a Video—0
Multimodal Intent Discovery from Livestream Videos—0
(Un)likelihood Training for Interpretable EmbeddingCode0
Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering—0
Submission to Generic Event Boundary Detection Challenge@CVPR 2022: Local Context Modeling and Global Boundary Decoding ApproachCode0
Technical Report for CVPR 2022 LOVEU AQTC ChallengeCode0
Multimodal Dialogue State TrackingCode0
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