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Revisiting feature prediction for learning visual representations from video
This paper explores feature prediction as a stand-alone objective for unsupervised learning
from video and introduces V-JEPA, a collection of vision models trained solely using a …
from video and introduces V-JEPA, a collection of vision models trained solely using a …
Videoprism: A foundational visual encoder for video understanding
We introduce VideoPrism, a general-purpose video encoder that tackles diverse video
understanding tasks with a single frozen model. We pretrain VideoPrism on a …
understanding tasks with a single frozen model. We pretrain VideoPrism on a …
Foundation models for video understanding: A survey
Video Foundation Models (ViFMs) aim to develop general-purpose representations for
various video understanding tasks by leveraging large-scale datasets and powerful models …
various video understanding tasks by leveraging large-scale datasets and powerful models …
Multi-perspective traffic video description model with fine-grained refinement approach
The analysis of traffic patterns is crucial for enhancing safety and optimizing flow within
urban cities. While urban cities possess extensive camera networks for monitoring the raw …
urban cities. While urban cities possess extensive camera networks for monitoring the raw …
Video-language understanding: A survey from model architecture, model training, and data perspectives
Humans use multiple senses to comprehend the environment. Vision and language are two
of the most vital senses since they allow us to easily communicate our thoughts and …
of the most vital senses since they allow us to easily communicate our thoughts and …
V-jepa: Latent video prediction for visual representation learning
This paper shows that the masked-modelling principle driving the success of large
foundational language models can be effectively applied to video by making predictions in …
foundational language models can be effectively applied to video by making predictions in …
Videoeval: Comprehensive benchmark suite for low-cost evaluation of video foundation model
With the growth of high-quality data and advancement in visual pre-training paradigms,
Video Foundation Models (VFMs) have made significant progress recently, demonstrating …
Video Foundation Models (VFMs) have made significant progress recently, demonstrating …
LVS: A Learned Video Storage for Fast and Efficient Video Understanding
Y Lee, J Park - Proceedings of the IEEE/CVF Conference …, 2024 - openaccess.thecvf.com
As video understanding (VU) promises unprecedented capabilities in the era of video data
explosion, its efficient computation plays a critical role in practicalizing the algorithmic …
explosion, its efficient computation plays a critical role in practicalizing the algorithmic …
Video Foundation Models for Animal Behavior Analysis
Computational approaches leveraging computer vision and machine learning have
transformed the quantification of animal behavior from video. However, existing methods …
transformed the quantification of animal behavior from video. However, existing methods …
Video Creation by Demonstration
We explore a novel video creation experience, namely Video Creation by Demonstration.
Given a demonstration video and a context image from a different scene, we generate a …
Given a demonstration video and a context image from a different scene, we generate a …