activity
20232026
most citedInternVideo2: Scaling Foundation Models for Multimodal Video Understanding

16 citations · 28 across the 20 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.CV2024

Vinci: A Real-time Embodied Smart Assistant based on Egocentric Vision-Language Model

Yifei Huang, Jilan Xu, Baoqi Pei +15

We introduce Vinci, a real-time embodied smart assistant built upon an egocentric vision-language model. Designed for deployment on portable devices such as smartphones and wearabl…

cs.CV2024

Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment

Ziang Yan, Zhilin Li, Yinan He +9

Current multimodal large language models (MLLMs) struggle with fine-grained or precise understanding of visuals although they give comprehensive perception and reasoning in a spect…

cs.CV2024

Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel

Zun Wang, Jialu Li, Yicong Hong +8

Creating high-quality data for training robust language-instructed agents is a long-lasting challenge in embodied AI. In this paper, we introduce a Self-Refining Data Flywheel (SRD…

cs.CV2024★ 1 cited

TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Xiangyu Zeng, Kunchang Li, Chenting Wang +10

Multimodal Large Language Models (MLLMs) have demonstrated impressive performance in short video understanding. However, understanding long-form videos still remains challenging fo…

cs.CV2024

EgoVideo: Exploring Egocentric Foundation Model and Downstream Adaptation

Baoqi Pei, Guo Chen, Jilan Xu +8

In this report, we present our solutions to the EgoVis Challenges in CVPR 2024, including five tracks in the Ego4D challenge and three tracks in the EPIC-Kitchens challenge. Buildi…

cs.CV2024★ 3 cited

VideoMamba: State Space Model for Efficient Video Understanding

Kunchang Li, Xinhao Li, Yi Wang +4

Addressing the dual challenges of local redundancy and global dependencies in video understanding, this work innovatively adapts the Mamba to the video domain. The proposed VideoMa…

cs.CV2024

EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World

Yifei Huang, Guo Chen, Jilan Xu +8

Being able to map the activities of others into one's own point of view is one fundamental human skill even from a very early age. Taking a step toward understanding this human abi…

cs.CV2024★ 16 cited

InternVideo2: Scaling Foundation Models for Multimodal Video Understanding

Yi Wang, Kunchang Li, Xinhao Li +17

We introduce InternVideo2, a new family of video foundation models (ViFM) that achieve the state-of-the-art results in video recognition, video-text tasks, and video-centric dialog…

cs.CV2024

Vlogger: Make Your Dream A Vlog

Shaobin Zhuang, Kunchang Li, Xinyuan Chen +4

In this work, we present Vlogger, a generic AI system for generating a minute-level video blog (i.e., vlog) of user descriptions. Different from short videos with a few seconds, vl…