Search Results for author: Qiong Cao

Found 11 papers, 4 papers with code

Learning Sequence Representations by Non-local Recurrent Neural Memory

1 code implementation20 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.

Representation Learning

DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers

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.

Knowledge Distillation

MVP-Human Dataset for 3D Human Avatar Reconstruction from Unconstrained Frames

no code implementations24 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.

Camera Calibration


no code implementations29 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.

Node Classification Representation Learning

VGGFace2: A dataset for recognising faces across pose and age

17 code implementations23 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)

Face Recognition Face Verification +1

Template Adaptation for Face Verification and Identification

no code implementations12 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.

Face Identification Face Recognition +3

Cannot find the paper you are looking for? You can Submit a new open access paper.