activity
20162026
most citedChannel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

52 citations · 157 across the 28 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.CV2024

SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning

Zewen Chen, Juan Wang, Wen Wang +8

Existing Image Quality Assessment (IQA) methods achieve remarkable success in analyzing quality for overall image, but few works explore quality analysis for Regions of Interest (R…

cs.AI2024

mRAG: Multimodal Retrieval-Reflection-Augmented Generation for Knowledge-Based VQA

Tao Zhang, Ziqi Zhang, Zongyang Ma +10

Advanced Multimodal Large Language Models (MLLMs) struggle with recent Knowledge-based Visual Question Answering (VQA) tasks, such as INFOSEEK and Encyclopedic-VQA, due to their li…

cs.CV2024

How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?

Yuxin Chen, Zongyang Ma, Ziqi Zhang +7

Dominant dual-encoder models enable efficient image-text retrieval but suffer from limited accuracy while the cross-encoder models offer higher accuracy at the expense of efficienc…

cs.CV2024

EA-VTR: Event-Aware Video-Text Retrieval

Zongyang Ma, Ziqi Zhang, Yuxin Chen +8

Understanding the content of events occurring in the video and their inherent temporal logic is crucial for video-text retrieval. However, web-crawled pre-training datasets often l…

cs.CV2024★ 1 cited

MIBench: Evaluating Multimodal Large Language Models over Multiple Images

Haowei Liu, Xi Zhang, Haiyang Xu +8

Built on the power of LLMs, numerous multimodal large language models (MLLMs) have recently achieved remarkable performance on various vision-language tasks. However, most existing…

cs.CV2024

PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts

Zewen Chen, Haina Qin, Juan Wang +4

Due to the diversity of assessment requirements in various application scenarios for the IQA task, existing IQA methods struggle to directly adapt to these varied requirements afte…

cs.CV2024

Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training

Haowei Liu, Yaya Shi, Haiyang Xu +8

In vision-language pre-training (VLP), masked image modeling (MIM) has recently been introduced for fine-grained cross-modal alignment. However, in most existing methods, the recon…

cs.CV2024

Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval

Haowei Liu, Yaya Shi, Haiyang Xu +8

In video-text retrieval, most existing methods adopt the dual-encoder architecture for fast retrieval, which employs two individual encoders to extract global latent representation…

cs.CV2024★ 3 cited

GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessment

Zewen Chen, Juan Wang, Bing Li +7

Due to the subjective nature of image quality assessment (IQA), assessing which image has better quality among a sequence of images is more reliable than assigning an absolute mean…