2 citations · 2 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
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)…
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…
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…