activity
20242026
collaborators

9 papers

cs.CV2026

Stage-adaptive Token Selection for Efficient Omni-modal LLMs

Zijie Xin, Jie Yang, Ruixiang Zhao +4

The unified audio-visual understanding capability of omni-modal large language models (om-LLMs) comes at the high cost of processing tens of thousands of visual and audio tokens th…

cs.CV2026

OmniPro: A Comprehensive Benchmark for Omni-Proactive Streaming Video Understanding

Ruixiang Zhao, Jie Yang, Zijie Xin +4

Omni-proactive streaming video understanding, i.e., autonomously deciding when to speak and what to say from continuous audio-visual streams, is an emerging capability of omni-moda…

cs.CV2025

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment

Shuhao Han, Haotian Fan, Fangyuan Kong +112

This paper reports on the NTIRE 2025 challenge on Text to Image (T2I) generation model quality assessment, which will be held in conjunction with the New Trends in Image Restoratio…

cs.CV2025

Instruction-augmented Multimodal Alignment for Image-Text and Element Matching

Xinli Yue, JianHui Sun, Junda Lu +6

With the rapid advancement of text-to-image (T2I) generation models, assessing the semantic alignment between generated images and text descriptions has become a significant resear…

cs.CV2025

Self-Bootstrapping for Versatile Test-Time Adaptation

Shuaicheng Niu, Guohao Chen, Peilin Zhao +3

In this paper, we seek to develop a versatile test-time adaptation (TTA) objective for a variety of tasks - classification and regression across image-, object-, and pixel-level pr…

cs.CV2024

Pinco: Position-induced Consistent Adapter for Diffusion Transformer in Foreground-conditioned Inpainting

Guangben Lu, Yuzhen Du, Zhimin Sun +6

Foreground-conditioned inpainting aims to seamlessly fill the background region of an image by utilizing the provided foreground subject and a text description. While existing T2I-…

cs.CV2024

Advancing Video Quality Assessment for AIGC

Xinli Yue, Jianhui Sun, Han Kong +9

In recent years, AI generative models have made remarkable progress across various domains, including text generation, image generation, and video generation. However, assessing th…

cs.CV2024

Revisiting Video Quality Assessment from the Perspective of Generalization

Xinli Yue, Jianhui Sun, Liangchao Yao +8

The increasing popularity of short video platforms such as YouTube Shorts, TikTok, and Kwai has led to a surge in User-Generated Content (UGC), which presents significant challenge…

eess.IV2024

NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results

Xin Li, Kun Yuan, Yajing Pei +65

This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected da…