collaborators
Showing cs.CVShow all

9 papers · 1 filter

cs.CV2026

STP-GUI: Spatially-Aware Token Pruning for Efficient Web-GUI Agents

Shuo Wang, Sifan Zhou, Xiaobo Wang +6

With the rapid development of vision-language models (VLMs), Web-GUI agents have achieved promising performance in interacting with real-world interfaces through screenshot-based g…

cs.CV2026

FlashGaze: Training-Free Multi-Scale Patch Pruning For Efficient Video Understanding

Ziye Zhu, Yanghao Zhou, Lixing Tan +3

Multimodal Large Language Models (MLLMs) have demonstrated strong performance in video understanding, yet efficiently processing long, high-resolution videos remains challenging. S…

cs.CV2026

VideoVIBE: A Video-Grounded Diagnostic Benchmark for One-Shot Interactive Website Generation

Jiajun Xu, Yanghao Zhou, Jingyun Liao +6

Natural-language-driven "vibe coding" enables the one-shot generation of visually rich and interactive web applications, yet reliable assessment of their quality has not kept pace.…

cs.CV2026

On Aligning Hierarchical Standardized Embedding for Audio-visual Generalized Zero-shot Learning

Zihan Zhang, Jie Hong, Siyuan Fan +2

Audio-visual Generalized Zero-shot Learning (AV-GZSL) is a challenging task that aims to classify both seen and unseen objects or scenes by integrating data from audio and visual m…

cs.CV2026

Face-Guided Sentiment Boundary Enhancement for Weakly-Supervised Temporal Sentiment Localization

Cailing Han, Zhangbin Li, Jinxing Zhou +5

Point-level weakly-supervised temporal sentiment localization (P-WTSL) aims to detect sentiment-relevant segments in untrimmed multimodal videos using timestamp sentiment annotatio…

cs.CV2026

Audit After Segmentation: Reference-Free Mask Quality Assessment for Language-Referred Audio-Visual Segmentation

Jinxing Zhou, Yanghao Zhou, Yaoting Wang +5

Language-referred audio-visual segmentation (Ref-AVS) aims to segment target objects described by natural language by jointly reasoning over video, audio, and text. Beyond generati…

cs.CV2025

SimToken: A Simple Baseline for Referring Audio-Visual Segmentation

Dian Jin, Yanghao Zhou, Jinxing Zhou +3

Referring Audio-Visual Segmentation (Ref-AVS) aims to segment specific objects in videos based on natural language expressions involving audio, vision, and text information. This t…

cs.CV2025

CLASP: Cross-modal Salient Anchor-based Semantic Propagation for Weakly-supervised Dense Audio-Visual Event Localization

Jinxing Zhou, Ziheng Zhou, Yanghao Zhou +3

The Dense Audio-Visual Event Localization (DAVEL) task aims to temporally localize events in untrimmed videos that occur simultaneously in both the audio and visual modalities. Thi…

cs.CV2025

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation

Jinxing Zhou, Zhihui Li, Yongqiang Yu +7

We present \textbf{Met}a-\textbf{T}oken \textbf{Le}arning (Mettle), a simple and memory-efficient method for adapting large-scale pretrained transformer models to downstream audio-…