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 901–950 of 1149 papers

TitleStatusHype
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens—0
Efficient Annotation and Learning for 3D Hand Pose Estimation: A Survey—0
Development of a MultiModal Annotation Framework and Dataset for Deep Video Understanding—0
i-Code: An Integrative and Composable Multimodal Learning Framework—0
Overview of the MedVidQA 2022 Shared Task on Medical Video Question-Answering—0
Contrastive Language-Action Pre-training for Temporal Localization—0
Causal Reasoning Meets Visual Representation Learning: A Prospective Study—0
Revealing Occlusions with 4D Neural Fields—0
Less than Few: Self-Shot Video Instance Segmentation—0
ActAR: Actor-Driven Pose Embeddings for Video Action Recognition—0
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems—0
MM-SEAL: A Large-scale Video Dataset of Multi-person Multi-grained Spatio-temporally Action Localization—0
PYSKL: a toolbox for skeleton-based video understanding—0
FitCLIP: Refining Large-Scale Pretrained Image-Text Models for Zero-Shot Video Understanding TasksCode0
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow AnalysisCode0
Human Gaze Guided Attention for Surgical Activity Recognition—0
Multi-Scale Self-Contrastive Learning with Hard Negative Mining for Weakly-Supervised Query-based Video Grounding—0
Temporal Perceiver: A General Architecture for Arbitrary Boundary Detection—0
Concept Graph Neural Networks for Surgical Video Understanding—0
Audio Visual Scene-Aware Dialog Generation with Transformer-based Video Representations—0
A Coding Framework and Benchmark towards Low-Bitrate Video UnderstandingCode0
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action RecognitionCode0
End-to-end Generative Pretraining for Multimodal Video Captioning—0
Multiview Transformers for Video Recognition—0
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound—0
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding—0
VRDFormer: End-to-End Video Visual Relation Detection With Transformers—0
YouMVOS: An Actor-Centric Multi-Shot Video Object Segmentation Dataset—0
Improving Video Model Transfer With Dynamic Representation Learning—0
UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection—0
Recurring the Transformer for Video Action Recognition—0
Exploiting Long-Term Dependencies for Generating Dynamic Scene GraphsCode0
Discrete neural representations for explainable anomaly detection—0
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search—0
Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation LearningCode0
Stacked Temporal Attention: Improving First-person Action Recognition by Emphasizing Discriminative Clips—0
LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering—0
UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection—0
Fill-in-the-Blank: A Challenging Video Understanding Evaluation Framework—0
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge—0
Re-ID-AR: Improved Person Re-identification in Video via Joint Weakly Supervised Action RecognitionCode0
Gradient Frequency Modulation for Visually Explaining Video Understanding Models—0
Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding—0
Leveraging Local Temporal Information for Multimodal Scene Classification—0
Can't Fool Me: Adversarially Robust Transformer for Video Understanding—0
NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy LabelsCode0
CLIP4Caption: CLIP for Video Caption—0
TAda! Temporally-Adaptive Convolutions for Video UnderstandingCode0
Toward a Human-Level Video Understanding Intelligence—0
Efficient Modelling Across Time of Human Actions and Interactions—0
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