1 code implementation • ECCV 2020 • Yongqiang Mou, Lei Tan, Hui Yang, Jingying Chen, Leyuan Liu, Rui Yan, Yaohong Huang
In this paper, we address the problem of recognizing degradation images that are suffering from high blur or low-resolution.
no code implementations • 4 Jan 2024 • Weihao Li, Lei Tan, Pingyang Dai, Yan Zhang
In the first stage, we freeze the two encoders from CLIP and solely focus on optimizing the prompts to alleviate domain gap between the original training data of CLIP and downstream tasks.
no code implementations • 8 Dec 2023 • Yuquan Zhang, Zhong Cao, Feng Wang, Lam, Man I, Hui Deng, Ying Mei, Lei Tan
Real-time identification of galaxy and nebula/star cluster (abbreviated as NSC) images is of great value during CSST survey.
no code implementations • 25 Nov 2023 • Chenhao Qi, Jing Wang, Leyi Lyu, Lei Tan, Jinming Zhang, Geoffrey Ye Li
The long-distance wireless signal propagation in NTNs leads to severe path loss and large latency, where the accurate acquisition of channel state information (CSI) is another challenge, especially for fast-moving non-terrestrial base stations (NTBSs).
no code implementations • 20 Mar 2023 • Jiaer Xia, Lei Tan, Pingyang Dai, Mingbo Zhao, Yongjian Wu, Liujuan Cao
To address this issue, we propose a novel transformer-based Attention Disturbance and Dual-Path Constraint Network (ADP) to enhance the generalization of attention networks.
no code implementations • 3 Feb 2023 • Lei Tan, Pingyang Dai, Qixiang Ye, Mingliang Xu, Yongjian Wu, Rongrong Ji
Based on the observation and analysis of SA-Softmax, we modify the SA-Softmax with the Feature Mask and Absolute-Similarity Term to alleviate the ambiguous optimization during model training.
no code implementations • 2 Feb 2023 • Lei Tan, Yukang Zhang, ShengMei Shen, Yan Wang, Pingyang Dai, Xianming Lin, Yongjian Wu, Rongrong Ji
Cross-spectral person re-identification, which aims to associate identities to pedestrians across different spectra, faces a main challenge of the modality discrepancy.
1 code implementation • 19 Jul 2022 • Lei Tan, Pingyang Dai, Rongrong Ji, Yongjian Wu
Although person re-identification has achieved an impressive improvement in recent years, the common occlusion case caused by different obstacles is still an unsettled issue in real application scenarios.
1 code implementation • 22 Mar 2021 • Lei Tan, Shutong Wu, Xiaolin Huang
In this paper, we introduce the Weighted Neural Tangent Kernel (WNTK), a generalized and improved tool, which can capture an over-parameterized NN's training dynamics under different optimizers.
1 code implementation • 20 Mar 2021 • Tao Li, Lei Tan, Qinghua Tao, Yipeng Liu, Xiaolin Huang
Deep neural networks (DNNs) usually contain massive parameters, but there is redundancy such that it is guessed that the DNNs could be trained in low-dimensional subspaces.
1 code implementation • 9 Dec 2016 • Hanbyul Joo, Tomas Simon, Xulong Li, Hao liu, Lei Tan, Lin Gui, Sean Banerjee, Timothy Godisart, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, Yaser Sheikh
The core challenges in capturing social interactions are: (1) occlusion is functional and frequent; (2) subtle motion needs to be measured over a space large enough to host a social group; (3) human appearance and configuration variation is immense; and (4) attaching markers to the body may prime the nature of interactions.
no code implementations • ICCV 2015 • Hanbyul Joo, Hao liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, Yaser Sheikh
We present an approach to capture the 3D structure and motion of a group of people engaged in a social interaction.