Latest Articles for Video Analysis

EgoObjects provides an extensive dataset for understanding objects from a first-person view.

A new method combines video saliency prediction and detection, improving performance.

This study presents a method to classify videos through rich textual descriptions.

A new method improves how tech detects human behavior in group settings.

MoDA enhances semantic segmentation in videos using motion information.

ProtoExplorer aids forensic experts in effectively analyzing deepfake videos.

This article explains using neural networks for scene recognition in films and shows.

A new method enhances the detection of traffic anomalies in driving videos for safety.

New model improves tracking and recognition of text in video content.

A new method to manage complex time-dependent data efficiently.

New methods help robots learn skills effectively by watching expert videos.

Introducing PRTreID, a unified method for tracking and identifying players in sports videos.

This study explores how machines connect actions to their outcomes through video analysis.

A framework for making video predictions understandable and trustworthy.

FineBio offers a dataset for tracking actions in biological experiments through video.

M-RAAP optimizes video and text data pairing for improved search results.

A new method enhances audio-visual segmentation without detailed labels.

A new dataset enhances AI's ability to interpret human behavior in videos.

A dataset to assess struggles in assembly tasks using video annotations.

UniVS simplifies video segmentation tasks using prompts for better performance and versatility.

TV-TREES improves video question answering with clear reasoning structures.

This research examines the shift from intentional to unintentional actions in videos.

A new system identifies student actions in classroom videos with high efficiency.

A new method enhances video relationship detection using specialized models.

A new model identifies funny moments in videos using visual, audio, and text data.

An innovative approach to recognize and localize distracted driving behaviors.

A new method boosts video question-answering while retaining prior knowledge.

Mamba shows strong potential in video analysis compared to transformers.

HawkEye enhances video-text models to process longer videos effectively.

A new approach simplifies video grounding by eliminating the need for precise time labels.

DINO Tracker improves video point tracking, handling occlusions effectively.

New method enhances identification of unusual events in video footage.

Learn how patch pruning boosts the efficiency of deep learning models.

A novel approach utilizes language models for efficient long video analysis.

A new method improves action recognition in unedited videos using few examples.

Annolid automates animal tracking in videos, aiding researchers in studying behavior.

New methods enhance video action detection against various corruptions.

ASTRA model improves accuracy in identifying actions during soccer matches.

DIBS enhances video event captioning by refining boundaries using unlabeled data.

A new method for identifying and describing objects in videos.