activity
20212026
most citedAudio-Visual Segmentation with Semantics

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

collaborators

26 papers

cs.MM2026

Motion-Aware Reasoning from Speech to Mask Tracks: Runner-up Solution for the MeViS-Audio Track of the 8th LSVOS Challenge 2026

Jinxing Zhou, Suiyi Zhao, Yanghao Zhou +1

Speech-guided referring video object segmentation aims to recover the mask tracks of objects specified by a spoken motion description. Here, speech carries a linguistic instruction…

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.LG2025

A Closer Look at Knowledge Distillation in Spiking Neural Network Training

Xu Liu, Na Xia, Jinxing Zhou +2

Spiking Neural Networks (SNNs) become popular due to excellent energy efficiency, yet facing challenges for effective model training. Recent works improve this by introducing knowl…

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.MM2025

Think Before You Segment: An Object-aware Reasoning Agent for Referring Audio-Visual Segmentation

Jinxing Zhou, Yanghao Zhou, Mingfei Han +4

Referring Audio-Visual Segmentation (Ref-AVS) aims to segment target objects in audible videos based on given reference expressions. Prior works typically rely on learning latent e…

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…

cs.CV2025

Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective

Yuxin Mao, Zhen Qin, Jinxing Zhou +6

Autoregressive (AR) models have garnered significant attention in image generation for their ability to effectively capture both local and global structures within visual data. How…

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-…

cs.CV2024

Dense Audio-Visual Event Localization under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration

Ziheng Zhou, Jinxing Zhou, Wei Qian +3

In the field of audio-visual learning, most research tasks focus exclusively on short videos. This paper focuses on the more practical Dense Audio-Visual Event Localization (DAVEL)…

cs.CV2024

Multimodal Class-aware Semantic Enhancement Network for Audio-Visual Video Parsing

Pengcheng Zhao, Jinxing Zhou, Yang Zhao +2

The Audio-Visual Video Parsing task aims to recognize and temporally localize all events occurring in either the audio or visual stream, or both. Capturing accurate event semantics…

cs.MM2024★ 2 cited

Patch-level Sounding Object Tracking for Audio-Visual Question Answering

Zhangbin Li, Jinxing Zhou, Jing Zhang +3

Answering questions related to audio-visual scenes, i.e., the AVQA task, is becoming increasingly popular. A critical challenge is accurately identifying and tracking sounding obje…

cs.LG2024★ 2 cited

MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights

Jingjing Hu, Dan Guo, Zhan Si +5

Molecular representation learning plays a crucial role in various downstream tasks, such as molecular property prediction and drug design. To accurately represent molecules, Graph…

cs.CV2024★ 2 cited

Towards Open-Vocabulary Audio-Visual Event Localization

Jinxing Zhou, Dan Guo, Ruohao Guo +5

The Audio-Visual Event Localization (AVEL) task aims to temporally locate and classify video events that are both audible and visible. Most research in this field assumes a closed-…

cs.AI2024★ 1 cited

Label-anticipated Event Disentanglement for Audio-Visual Video Parsing

Jinxing Zhou, Dan Guo, Yuxin Mao +3

Audio-Visual Video Parsing (AVVP) task aims to detect and temporally locate events within audio and visual modalities. Multiple events can overlap in the timeline, making identific…

cs.CV2024★ 2 cited

Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-wise Pseudo Labeling

Jinxing Zhou, Dan Guo, Yiran Zhong +1

The Audio-Visual Video Parsing task aims to identify and temporally localize the events that occur in either or both the audio and visual streams of audible videos. It often perfor…

cs.CV2024

TAVGBench: Benchmarking Text to Audible-Video Generation

Yuxin Mao, Xuyang Shen, Jing Zhang +5

The Text to Audible-Video Generation (TAVG) task involves generating videos with accompanying audio based on text descriptions. Achieving this requires skillful alignment of both a…

cs.CV2023

Object-aware Adaptive-Positivity Learning for Audio-Visual Question Answering

Zhangbin Li, Dan Guo, Jinxing Zhou +2

This paper focuses on the Audio-Visual Question Answering (AVQA) task that aims to answer questions derived from untrimmed audible videos. To generate accurate answers, an AVQA mod…

cs.CV2023

Fine-grained Audible Video Description

Xuyang Shen, Dong Li, Jinxing Zhou +9

We explore a new task for audio-visual-language modeling called fine-grained audible video description (FAVD). It aims to provide detailed textual descriptions for the given audibl…

cs.CV2023★ 7 cited

Improving Audio-Visual Video Parsing with Pseudo Visual Labels

Jinxing Zhou, Dan Guo, Yiran Zhong +1

Audio-Visual Video Parsing is a task to predict the events that occur in video segments for each modality. It often performs in a weakly supervised manner, where only video event l…

cs.CV2023★ 12 cited

Audio-Visual Segmentation with Semantics

Jinxing Zhou, Xuyang Shen, Jianyuan Wang +8

We propose a new problem called audio-visual segmentation (AVS), in which the goal is to output a pixel-level map of the object(s) that produce sound at the time of the image frame…

cs.CV2022★ 3 cited

Contrastive Positive Sample Propagation along the Audio-Visual Event Line

Jinxing Zhou, Dan Guo, Meng Wang

Visual and audio signals often coexist in natural environments, forming audio-visual events (AVEs). Given a video, we aim to localize video segments containing an AVE and identify…