2 citations · 2 across the 2 of their papers we have counts for
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cs.CV2023★ 1 cited
Improving Audio-Visual Segmentation with Bidirectional Generation
Dawei Hao, Yuxin Mao, Bowen He +3
The aim of audio-visual segmentation (AVS) is to precisely differentiate audible objects within videos down to the pixel level. Traditional approaches often tackle this challenge b…
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.CV2022★ 2 cited
Linear Video Transformer with Feature Fixation
Kaiyue Lu, Zexiang Liu, Jianyuan Wang +8
Vision Transformers have achieved impressive performance in video classification, while suffering from the quadratic complexity caused by the Softmax attention mechanism. Some stud…