activity
20232026
most citedSentiment-oriented Transformer-based Variational Autoencoder Network for Live Video Commenting

11 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Lance: Unified Multimodal Modeling by Multi-Task Synergy

Fengyi Fu, Mengqi Huang, Shaojin Wu +10

We present Lance, a lightweight native unified model supporting multimodal understanding, generation, and editing for both images and videos. Rather than relying on model capacity…

cs.CV2025

LayerEdit: Disentangled Multi-Object Editing via Conflict-Aware Multi-Layer Learning

Fengyi Fu, Mengqi Huang, Lei Zhang +1

Text-driven multi-object image editing which aims to precisely modify multiple objects within an image based on text descriptions, has recently attracted considerable interest. Exi…

cs.CV2025

HDGlyph: A Hierarchical Disentangled Glyph-Based Framework for Long-Tail Text Rendering in Diffusion Models

Shuhan Zhuang, Mengqi Huang, Fengyi Fu +3

Visual text rendering, which aims to accurately integrate specified textual content within generated images, is critical for various applications such as commercial design. Despite…

cs.CV2024★ 11 cited

Sentiment-oriented Transformer-based Variational Autoencoder Network for Live Video Commenting

Fengyi Fu, Shancheng Fang, Weidong Chen +1

Automatic live video commenting is with increasing attention due to its significance in narration generation, topic explanation, etc. However, the diverse sentiment consideration o…

cs.CL2023

E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation

Fengyi Fu, Lei Zhang, Quan Wang +1

Achieving empathy is a crucial step toward humanized dialogue systems. Current approaches for empathetic dialogue generation mainly perceive an emotional label to generate an empat…