activity
20242026
most citedExploring AIGC Video Quality: A Focus on Visual Harmony, Video-Text Consistency and Domain Distribution Gap

2 citations · 3 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Event-STVG: Spatio-Temporal Video Grounding for Long-Form Event Reasoning

Yizhe Zhang, Xujia Wang, Songqi Tang +10

Spatio-Temporal Video Grounding (STVG) aims to jointly localize a target in space and time given a natural-language query. Despite continued advances, existing STVG benchmarks rema…

eess.IV2026

DLIOS: An LLM-Augmented Real-Time Multi-Modal Interactive Enhancement Overlay System for Douyin Live Streaming

Shuide Wen, Sungil Seok, Beier Ku +6

We present DLIOS, a Large Language Model (LLM)-augmented real-time multi-modal interactive enhancement overlay system for Douyin (TikTok) live streaming. DLIOS employs a three-laye…

cs.CV2025

IE-Critic-R1: Advancing the Explanatory Measurement of Text-Driven Image Editing for Human Perception Alignment

Bowen Qu, Shangkun Sun, Xiaoyu Liang +1

Recent advances in text-driven image editing have been significant, yet the task of accurately evaluating these edited images continues to pose a considerable challenge. Different…

cs.CV2025★ 1 cited

Content-Rich AIGC Video Quality Assessment via Intricate Text Alignment and Motion-Aware Consistency

Shangkun Sun, Xiaoyu Liang, Bowen Qu +1

The advent of next-generation video generation models like \textit{Sora} poses challenges for AI-generated content (AIGC) video quality assessment (VQA). These models substantially…

cs.CV2025

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment

Shangkun Sun, Bowen Qu, Xiaoyu Liang +2

Recent advances in text-driven image editing have been significant, yet the task of accurately evaluating these edited images continues to pose a considerable challenge. Different…

cs.CV2024

Learning Robust 3D Representation from CLIP via Dual Denoising

Shuqing Luo, Bowen Qu, Wei Gao

In this paper, we explore a critical yet under-investigated issue: how to learn robust and well-generalized 3D representation from pre-trained vision language models such as CLIP.…

cs.CV2024★ 2 cited

Exploring AIGC Video Quality: A Focus on Visual Harmony, Video-Text Consistency and Domain Distribution Gap

Bowen Qu, Xiaoyu Liang, Shangkun Sun +1

The recent advancements in Text-to-Video Artificial Intelligence Generated Content (AIGC) have been remarkable. Compared with traditional videos, the assessment of AIGC videos enco…

cs.CV2024

Bringing Textual Prompt to AI-Generated Image Quality Assessment

Bowen Qu, Haohui Li, Wei Gao

AI-Generated Images (AGIs) have inherent multimodal nature. Unlike traditional image quality assessment (IQA) on natural scenarios, AGIs quality assessment (AGIQA) takes the corres…