1 code implementation • 23 Mar 2024 • Huaiwen Zhang, Yu Chen, Ming Wang, Shi Feng
The model meticulously considers var-ious evaluative aspects of ESC to apply a more comprehensive and accurate evaluation method for ESC.
no code implementations • 12 Jan 2024 • Guiming Cao, Kaize Shi, Hong Fu, Huaiwen Zhang, Guandong Xu
Pre-trained Vision-Language (V-L) models set the benchmark for generalization to downstream tasks among the noteworthy contenders.
1 code implementation • 13 Dec 2023 • Shengsheng Qian, Yifei Wang, Dizhan Xue, Shengjie Zhang, Huaiwen Zhang, Changsheng Xu
After obtaining the threat model trained on the poisoned dataset, our method can precisely detect poisonous samples based on the assumption that masking the backdoor trigger can effectively change the activation of a downstream clustering model.
no code implementations • ICCV 2023 • Huaiwen Zhang, Zihang Guo, Yang Yang, Xin Liu, De Hu
In this paper, we propose a Cross-modal Contextualized Sequence Transduction (C2ST) for CSLR, which effectively incorporates the knowledge of gloss sequence into the process of video representation learning and sequence transduction.
1 code implementation • AAAI 2021 • Shengsheng Qian, Dizhan Xue, Huaiwen Zhang, Quan Fang, Changsheng Xu
To date, most existing methods transform multimodal data into a common representation space where semantic similarities between items can be directly measured across different modalities.
1 code implementation • 27 Jan 2021 • Jun Hu, Shengsheng Qian, Quan Fang, Youze Wang, Quan Zhao, Huaiwen Zhang, Changsheng Xu
We introduce tf_geometric, an efficient and friendly library for graph deep learning, which is compatible with both TensorFlow 1. x and 2. x.