activity
20232026
most citedImageBind-LLM: Multi-modality Instruction Tuning

25 citations · 26 across the 14 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.CV2026

How to Reduce Localization Ambiguity? Geometry-Semantic Constrained BEV Representation Learning for Satellite-Ground Localization

Junming Feng, Panwang Xia, Qiong Wu +8

Satellite-ground localization estimates the planar position and yaw orientation of a ground camera within a geo-referenced satellite image. Most recent methods map ground and satel…

cs.CV2026

GuideMe: Multi-Domain Task Guidance and Intervention in Streaming Video

Fang Liu, Jinpeng Chen, Ke Xu +7

While multimodal Large Language Models (MLLMs) excel at offline video understanding, an interesting question of how far they are from serving as a real-time procedural coach remain…

cs.CV2026

X-Stream: Exploring MLLMs as Multiplexers for Multi-Stream Understanding

Peiwen Sun, Xudong Lu, Huadai Liu +10

While video streaming understanding has made significant strides, real-world applications, such as live sports broadcasting, autonomous driving, and multi-screen collaboration, inh…

cs.CV2026

AURA: Always-On Understanding and Real-Time Assistance via Video Streams

Xudong Lu, Yang Bo, Jinpeng Chen +9

Video Large Language Models (VideoLLMs) have achieved strong performance on many video understanding tasks, but most existing systems remain offline and are not well-suited for liv…

cs.CV2026

PhoStream: Benchmarking Real-World Streaming for Omnimodal Assistants in Mobile Scenarios

Xudong Lu, Huankang Guan, Yang Bo +10

Multimodal Large Language Models excel at offline audio-visual understanding, but their ability to serve as mobile assistants in continuous real-world streams remains underexplored…