11 citations · 16 across the 5 of their papers we have counts for
7 papers
Arbitrary Bit-width Network: A Joint Layer-Wise Quantization and Adaptive Inference Approach
Chen Tang, Haoyu Zhai, Kai Ouyang +3
Conventional model quantization methods use a fixed quantization scheme to different data samples, which ignores the inherent "recognition difficulty" differences between various s…
A Closer Look at Debiased Temporal Sentence Grounding in Videos: Dataset, Metric, and Approach
Xiaohan Lan, Yitian Yuan, Xin Wang +4
Temporal Sentence Grounding in Videos (TSGV), which aims to ground a natural language sentence in an untrimmed video, has drawn widespread attention over the past few years. Howeve…
Fully Self-Supervised Learning for Semantic Segmentation
Yuan Wang, Wei Zhuo, Yucong Li +3
In this work, we present a fully self-supervised framework for semantic segmentation(FS^4). A fully bootstrapped strategy for semantic segmentation, which saves efforts for the hug…
A Survey on Temporal Sentence Grounding in Videos
Xiaohan Lan, Yitian Yuan, Xin Wang +2
Temporal sentence grounding in videos(TSGV), which aims to localize one target segment from an untrimmed video with respect to a given sentence query, has drawn increasing attentio…
Multimedia Edge Computing
Zhi Wang, Wenwu Zhu, Lifeng Sun +6
In this paper, we investigate the recent studies on multimedia edge computing, from sensing not only traditional visual/audio data but also individuals' geographical preference and…
STSIR: Spatial Temporal Pandemic Model with Mobility Data
Wang Pan, Qipu Deng, Jiadong Li +2
With the outbreak of COVID-19, how to mitigate and suppress its spread is a big issue to the government. Department of public health need powerful models to model and predict the t…