5 citations · 19 across the 18 of their papers we have counts for
5 papers · 1 filter
EAGLE: Towards Efficient Arbitrary Referring Visual Prompts Comprehension for Multimodal Large Language Models
Jiacheng Zhang, Yang Jiao, Shaoxiang Chen +2
Recently, Multimodal Large Language Models (MLLMs) have sparked great research interests owing to their exceptional content-reasoning and instruction-following capabilities. To eff…
EventHallusion: Diagnosing Event Hallucinations in Video LLMs
Jiacheng Zhang, Yang Jiao, Shaoxiang Chen +5
Recently, Multimodal Large Language Models (MLLMs) have made significant progress in the video comprehension field. Despite remarkable content reasoning and instruction following c…
Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning
Yian Li, Wentao Tian, Yang Jiao +5
Recently, Multimodal Large Language Models (MLLMs) have achieved significant success across multiple disciplines due to their exceptional instruction-following capabilities and ext…
From Canteen Food to Daily Meals: Generalizing Food Recognition to More Practical Scenarios
Guoshan Liu, Yang Jiao, Jingjing Chen +2
The precise recognition of food categories plays a pivotal role for intelligent health management, attracting significant research attention in recent years. Prominent benchmarks,…
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models
Yang Jiao, Shaoxiang Chen, Zequn Jie +3
Large Multimodal Model (LMM) is a hot research topic in the computer vision area and has also demonstrated remarkable potential across multiple disciplinary fields. A recent trend…