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20212026
most citedAudio-Visual Segmentation with Semantics

12 citations · 38 across the 24 of their papers we have counts for

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20 papers · 1 filter

cs.CV2026

See the Emotion: A Facial Emoji Proxy Modeling for EEG Emotion Recognition

Jingjing Hu, Guo Dan, Haofan Cheng +4

Despite the high accuracy of EEG-based emotion recognition, existing models remain opaque "black boxes", lacking semantic grounding between abstract neural features and human-inter…

cs.CV2026

FreqPhys: Repurposing Implicit Physiological Frequency Prior for Robust Remote Photoplethysmography

Wei Qian, Dan Guo, Jinxing Zhou +3

Remote photoplethysmography (rPPG) enables contactless physiological monitoring by capturing subtle skin-color variations from facial videos. However, most existing methods predomi…

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.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

Learning Spatial Decay for Vision Transformers

Yuxin Mao, Zhen Qin, Jinxing Zhou +4

Vision Transformers (ViTs) have revolutionized computer vision, yet their self-attention mechanism lacks explicit spatial inductive biases, leading to suboptimal performance on spa…