1 code implementation • 4 Mar 2024 • Fangzhou Hong, Jiaxiang Tang, Ziang Cao, Min Shi, Tong Wu, Zhaoxi Chen, Tengfei Wang, Liang Pan, Dahua Lin, Ziwei Liu
Specifically, it is powered by a text-conditioned tri-plane latent diffusion model, which quickly generates coarse 3D samples for fast prototyping.
no code implementations • 14 Sep 2023 • Ziang Cao, Fangzhou Hong, Tong Wu, Liang Pan, Ziwei Liu
To this end, we propose a novel triplane-based 3D-aware Diffusion model with TransFormer, DiffTF, for handling challenges via three aspects.
1 code implementation • 20 Aug 2023 • Ziang Cao, Ziyuan Huang, Liang Pan, Shiwei Zhang, Ziwei Liu, Changhong Fu
To handle those problems, we propose a two-level framework (TCTrack) that can exploit temporal contexts efficiently.
1 code implementation • 20 Mar 2023 • Junjie Ye, Changhong Fu, Ziang Cao, Shan An, Guangze Zheng, Bowen Li
To realize reliable UAV tracking at night, a spatial-channel Transformer-based low-light enhancer (namely SCT), which is trained in a novel task-inspired manner, is proposed and plugged prior to tracking approaches.
1 code implementation • 1 Aug 2022 • Changhong Fu, Weiyu Peng, Sihang Li, Junjie Ye, Ziang Cao
Specifically, with local-modeling to global-search mechanism, the proposed tracker replaces the global encoder by a novel local-recognition encoder.
1 code implementation • 9 May 2022 • Changhong Fu, Kunhan Lu, Guangze Zheng, Junjie Ye, Ziang Cao, Bowen Li, Geng Lu
Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of applications and attracted increasing attention in the field of intelligent transportation systems because of its versatility and effectiveness.
no code implementations • CVPR 2022 • Yiming Li, Ziang Cao, Andrew Liang, Benjamin Liang, Luoyao Chen, Hang Zhao, Chen Feng
We are interested in anticipating as early as possible the target location of a person's object manipulation action in a 3D workspace from egocentric vision.
1 code implementation • CVPR 2022 • Ziang Cao, Ziyuan Huang, Liang Pan, Shiwei Zhang, Ziwei Liu, Changhong Fu
Temporal contexts among consecutive frames are far from being fully utilized in existing visual trackers.
1 code implementation • 3 Mar 2022 • Changhong Fu, Sihang Li, Xinnan Yuan, Junjie Ye, Ziang Cao, Fangqiang Ding
Therefore, to help increase awareness of the potential risk and the robustness of UAV tracking, this work proposes a novel adaptive adversarial attack approach, i. e., Ad$^2$Attack, against UAV object tracking.
no code implementations • 2 Feb 2022 • N. Benjamin Erichson, Soon Hoe Lim, Winnie Xu, Francisco Utrera, Ziang Cao, Michael W. Mahoney
For many real-world applications, obtaining stable and robust statistical performance is more important than simply achieving state-of-the-art predictive test accuracy, and thus robustness of neural networks is an increasingly important topic.
1 code implementation • ICCV 2021 • Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li
Most existing Siamese-based tracking methods execute the classification and regression of the target object based on the similarity maps.
1 code implementation • 30 Jul 2021 • Junjie Ye, Changhong Fu, Guangze Zheng, Ziang Cao, Bowen Li
Recent years have witnessed the fast evolution and promising performance of the convolutional neural network (CNN)-based trackers, which aim at imitating biological visual systems.
1 code implementation • 16 Jun 2021 • Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li
By virtue of the attention mechanism, we conduct a special attentional aggregation network (AAN) consisting of self-AAN and cross-AAN for raising the representation ability of features eventually.
1 code implementation • 19 Dec 2020 • Changhong Fu, Ziang Cao, Yiming Li, Junjie Ye, Chen Feng
In the domain of visual tracking, most deep learning-based trackers highlight the accuracy but casting aside efficiency.