no code implementations • 12 Mar 2023 • Tengtao Song, Nuo Chen, Ji Jiang, Zhihong Zhu, Yuexian Zou
Since incorporating syntactic information like dependency structures into neural models can promote a better understanding of the sentences, such a method has been widely used in NLP tasks.
no code implementations • 7 Feb 2023 • Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Kun Gai, Peng Jiang, Xiangyu Zhao, Yongfeng Zhang
To overcome this challenge, we propose a hyper-actor and critic learning framework where the policy decomposes the item list generation process into a hyper-action inference step and an effect-action selection step.
1 code implementation • 6 Oct 2022 • Ji Jiang, Meng Cao, Tengtao Song, Yuexian Zou
To this end, we introduce two new datasets (i. e., VID-Entity and VidSTG-Entity) by augmenting the VIDSentence and VidSTG datasets with the explicitly referred words in the whole sentence, respectively.
1 code implementation • 2 Oct 2022 • Xingyu Chen, Ruonan Zhang, Ji Jiang, Yan Wang, Ge Li, Thomas H. Li
In this paper, we redesign the patch-based triplet loss in MDE to alleviate the ubiquitous edge-fattening issue.
Ranked #1 on Unsupervised Monocular Depth Estimation on Kitti Raw
1 code implementation • 21 Jul 2022 • Meng Cao, Ji Jiang, Long Chen, Yuexian Zou
Extensive experiments demonstrate that our DCNet achieves state-of-the-art performance on both video and image REC benchmarks.