no code implementations • 23 May 2022 • Yingying Zhang, Qiaoyong Zhong, Di Xie, ShiLiang Pu
However, the number of stored latent codes in autoencoder increases linearly with the scale of data and the trained encoder is redundant for the replaying stage.
no code implementations • 23 May 2022 • Fanfan Ye, Liang Ma, Qiaoyong Zhong, Di Xie, ShiLiang Pu
The knowledge extracted by the delegator is then utilized to maintain the performance of the model on old tasks in incremental learning.
1 code implementation • 8 Dec 2021 • Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie
In particular, we develop a novel cross-channel feature augmentation module, which is a combo of map-attend-group-map operations.
no code implementations • ICCV 2021 • Jinlei Hou, Yingying Zhang, Qiaoyong Zhong, Di Xie, ShiLiang Pu, Hong Zhou
Surprisingly, by varying the granularity of division on feature maps, we are able to modulate the reconstruction capability of the model for both normal and abnormal samples.
no code implementations • 16 Mar 2021 • Taiheng Zhang, Qiaoyong Zhong, ShiLiang Pu, Di Xie
Object detection involves two sub-tasks, i. e. localizing objects in an image and classifying them into various categories.
1 code implementation • 29 Jul 2020 • Fanfan Ye, ShiLiang Pu, Qiaoyong Zhong, Chao Li, Di Xie, Huiming Tang
The key lies in the design of the graph structure, which encodes skeleton topology information.
no code implementations • 26 Apr 2020 • Qi She, Fan Feng, Qi Liu, Rosa H. M. Chan, Xinyue Hao, Chuanlin Lan, Qihan Yang, Vincenzo Lomonaco, German I. Parisi, Heechul Bae, Eoin Brophy, Baoquan Chen, Gabriele Graffieti, Vidit Goel, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Liang Ma, Davide Maltoni, Lorenzo Pellegrini, Duvindu Piyasena, ShiLiang Pu, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qiaoyong Zhong, Liguang Zhou
This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Lifelong Object Recognition Challenge) with methods and results from the top $8$ finalists (out of over~$150$ teams).
no code implementations • 25 Sep 2019 • Yingying Zhang, Qiaoyong Zhong, Di Xie, ShiLiang Pu
The key lies in generalization of prior knowledge learned from large-scale base classes and fast adaptation of the classifier to novel classes.
1 code implementation • 4 Mar 2019 • Chao Li, Qiaoyong Zhong, Di Xie, ShiLiang Pu
By sharing the convolution kernels of different views, spatial and temporal features are collaboratively learned and thus benefit from each other.
Action Recognition In Videos
Temporal Action Localization
+1
no code implementations • 17 Dec 2018 • Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, ShiLiang Pu
In particular, we propose a novel multi-stage training strategy which learns incremental triplet margin and improves triplet loss effectively.
6 code implementations • 17 Apr 2018 • Chao Li, Qiaoyong Zhong, Di Xie, ShiLiang Pu
Skeleton-based human action recognition has recently drawn increasing attentions with the availability of large-scale skeleton datasets.
Ranked #1 on
RF-based Pose Estimation
on RF-MMD
no code implementations • 30 Oct 2017 • Qiaoyong Zhong, Chao Li, Yingying Zhang, Di Xie, Shicai Yang, ShiLiang Pu
Deep region-based object detector consists of a region proposal step and a deep object recognition step.
1 code implementation • 25 Apr 2017 • Chao Li, Qiaoyong Zhong, Di Xie, ShiLiang Pu
Current state-of-the-art approaches to skeleton-based action recognition are mostly based on recurrent neural networks (RNN).
Ranked #3 on
Skeleton Based Action Recognition
on PKU-MMD