24 code implementations • 23 Oct 2017 • Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, Andrew Zisserman
The dataset was collected with three goals in mind: (i) to have both a large number of identities and also a large number of images for each identity; (ii) to cover a large range of pose, age and ethnicity; and (iii) to minimize the label noise.
Ranked #1 on Face Verification on IJB-C (training dataset metric)
2 code implementations • CVPR 2023 • Hongwei Yi, Hualin Liang, Yifei Liu, Qiong Cao, Yandong Wen, Timo Bolkart, DaCheng Tao, Michael J. Black
This work addresses the problem of generating 3D holistic body motions from human speech.
Ranked #2 on Gesture Generation on BEAT2
1 code implementation • CVPR 2023 • Dingfeng Shi, Yujie Zhong, Qiong Cao, Lin Ma, Jia Li, DaCheng Tao
In this paper, we present a one-stage framework TriDet for temporal action detection.
Ranked #2 on Temporal Action Localization on EPIC-KITCHENS-100
3 code implementations • 11 Sep 2023 • Dingfeng Shi, Qiong Cao, Yujie Zhong, Shan An, Jian Cheng, Haogang Zhu, DaCheng Tao
Temporal action detection (TAD) aims to detect all action boundaries and their corresponding categories in an untrimmed video.
Ranked #1 on Temporal Action Localization on MultiTHUMOS
1 code implementation • 13 Jan 2023 • Jie Gui, Tuo Chen, Jing Zhang, Qiong Cao, Zhenan Sun, Hao Luo, DaCheng Tao
Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance.
1 code implementation • 14 Jul 2022 • Dingfeng Shi, Yujie Zhong, Qiong Cao, Jing Zhang, Lin Ma, Jia Li, DaCheng Tao
Moreover, we propose two losses to facilitate and stabilize the training of action classification.
Ranked #15 on Temporal Action Localization on THUMOS’14
1 code implementation • 14 Oct 2021 • Conghao Wong, Beihao Xia, Ziming Hong, Qinmu Peng, Wei Yuan, Qiong Cao, Yibo Yang, Xinge You
Different frequency bands in the trajectory spectrums could hierarchically reflect agents' motion preferences at different scales.
Ranked #3 on Trajectory Prediction on ETH/UCY
1 code implementation • 29 Jun 2023 • Sihan Ma, Qiong Cao, Hongwei Yi, Jing Zhang, DaCheng Tao
Demystifying complex human-ground interactions is essential for accurate and realistic 3D human motion reconstruction from RGB videos, as it ensures consistency between the humans and the ground plane.
1 code implementation • 24 Apr 2022 • Xiangyu Zhu, Tingting Liao, Jiangjing Lyu, Xiang Yan, Yunfeng Wang, Kan Guo, Qiong Cao, Stan Z. Li, Zhen Lei
In this paper, we consider a novel problem of reconstructing a 3D human avatar from multiple unconstrained frames, independent of assumptions on camera calibration, capture space, and constrained actions.
1 code implementation • 20 Jul 2022 • Wenjie Pei, Xin Feng, Canmiao Fu, Qiong Cao, Guangming Lu, Yu-Wing Tai
The key challenge of sequence representation learning is to capture the long-range temporal dependencies.
no code implementations • 12 Mar 2016 • Nate Crosswhite, Jeffrey Byrne, Omkar M. Parkhi, Chris Stauffer, Qiong Cao, Andrew Zisserman
Face recognition performance evaluation has traditionally focused on one-to-one verification, popularized by the Labeled Faces in the Wild dataset for imagery and the YouTubeFaces dataset for videos.
Ranked #8 on Face Verification on IJB-A
no code implementations • ICCV 2019 • Canmiao Fu, Wenjie Pei, Qiong Cao, Chaopeng Zhang, Yong Zhao, Xiaoyong Shen, Yu-Wing Tai
Typical methods for supervised sequence modeling are built upon the recurrent neural networks to capture temporal dependencies.
no code implementations • 28 Aug 2019 • Weinong Wang, Wenjie Pei, Qiong Cao, Shu Liu, Yu-Wing Tai
Person re-identification aims to identify whether pairs of images belong to the same person or not.
no code implementations • 23 Sep 2021 • Xianing Chen, Chunlin Xu, Qiong Cao, Jialang Xu, Yujie Zhong, Jiale Xu, Zhengxin Li, Jingya Wang, Shenghua Gao
Transformers have shown preferable performance on many vision tasks.
no code implementations • 29 Sep 2021 • Xueqi Ma, Pan Li, Qiong Cao, James Bailey, Yue Gao
In FAHGNN, we explore the influence of node features for the expressive power of GNNs and augment features by introducing common features and personal features to model information.
no code implementations • CVPR 2022 • Xianing Chen, Qiong Cao, Yujie Zhong, Jing Zhang, Shenghua Gao, DaCheng Tao
Our DearKD is a two-stage framework that first distills the inductive biases from the early intermediate layers of a CNN and then gives the transformer full play by training without distillation.
no code implementations • 1 Mar 2023 • Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, DaCheng Tao
Automated machine learning (AutoML) seeks to build ML models with minimal human effort.
no code implementations • 5 Jun 2023 • Changcheng Xiao, Qiong Cao, Yujie Zhong, Long Lan, Xiang Zhang, Zhigang Luo, DaCheng Tao
This challenge arises from two main factors: the insufficient discriminability of ReID features and the predominant utilization of linear motion models in MOT.
Ranked #4 on Multi-Object Tracking on SportsMOT
no code implementations • 23 Mar 2024 • Sihan Ma, Qiong Cao, Jing Zhang, DaCheng Tao
This paper addresses the problem of generating 3D interactive human motion from text.
no code implementations • 30 Mar 2024 • Yifei Liu, Qiong Cao, Yandong Wen, Huaiguang Jiang, Changxing Ding
This paper addresses the problem of generating lifelike holistic co-speech motions for 3D avatars, focusing on two key aspects: variability and coordination.