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20222025
most citedA Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future

10 citations · 16 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2025

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey

Wenbin An, Jiahao Nie, Yaqiang Wu +3

By integrating the perception capabilities of multimodal encoders with the generative power of Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), exemplified b…

cs.CV202410 cited

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future

Shilin Sun, Wenbin An, Feng Tian +5

Artificial intelligence (AI) has rapidly developed through advancements in computational power and the growth of massive datasets. However, this progress has also heightened challe…

cs.CV2024

Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing

Haonan Lin, Mengmeng Wang, Jiahao Wang +7

Text-guided diffusion models have significantly advanced image editing, enabling high-quality and diverse modifications driven by text prompts. However, effective editing requires…

cs.CV2024

Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery

Haonan Lin, Wenbin An, Jiahao Wang +6

Recent advancements have shown promise in applying traditional Semi-Supervised Learning strategies to the task of Generalized Category Discovery (GCD). Typically, this involves a t…

cs.CV20241 cited

Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models

Wenbin An, Feng Tian, Jiahao Nie +7

Knowledge-based Visual Question Answering (KVQA) requires both image and world knowledge to answer questions. Current methods first retrieve knowledge from the image and external k…

cs.CV2024

Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention

Wenbin An, Feng Tian, Sicong Leng +6

Despite great success across various multimodal tasks, Large Vision-Language Models (LVLMs) often encounter object hallucinations with generated textual responses being inconsisten…