1 code implementation • 7 Sep 2023 • Yi Tang, Takafumi Iwaguchi, Hiroshi Kawasaki
In this paper, we present an approach to image enhancement with diffusion model in underwater scenes.
no code implementations • 15 Jun 2022 • Quanfeng Xu, Yi Tang, Yumei She
With two real-world examples of HSI and LiDAR fused, the experimental results show that the proposed multi-branch high-dimensional canonical capsule algorithm can be effective for semantic understanding of HSI and LiDAR.
1 code implementation • 29 Apr 2021 • Yi Tang, Yuanman Li, Guoliang Xing
Despite their simplicity, such fusion strategies may introduce feature redundancy, and also fail to fully exploit the relationship between multi-level features extracted from both spatial and temporal domains.
no code implementations • 28 Jan 2021 • Pengwei Zhan, Liming Wang, Yi Tang
Extensive experiments show that, in the early traffic scenario, GQUIC is the most vulnerable to WFP attacks among GQUIC, IQUIC, and HTTPS, while IQUIC is more vulnerable than HTTPS, but the vulnerability of the three protocols is similar in the normal full traffic scenario.
1 code implementation • 3 Dec 2020 • Rongqin Liang, Yuanman Li, Xia Li, Yi Tang, Jiantao Zhou, Wenbin Zou
Predicting human motion behavior in a crowd is important for many applications, ranging from the natural navigation of autonomous vehicles to intelligent security systems of video surveillance.
Ranked #15 on Trajectory Prediction on ETH/UCY
no code implementations • 20 Oct 2020 • Yi Tang, Yuanman Li, Wenbin Zou
In this paper, to simplify the network and maintain the accuracy, we present a lightweight network tailored for video salient object detection through the spatiotemporal knowledge distillation.
no code implementations • 19 May 2020 • Joan Bruna, Oded Regev, Min Jae Song, Yi Tang
We introduce a continuous analogue of the Learning with Errors (LWE) problem, which we name CLWE.