activity
20172022
most citedTransReID: Transformer-based Object Re-Identification

95 citations · 194 across the 15 of their papers we have counts for

collaborators

13 papers

cs.CV20216 cited

TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection

Zitong Yu, Xiaobai Li, Pichao Wang +1

3D mask face presentation attack detection (PAD) plays a vital role in securing face recognition systems from emergent 3D mask attacks. Recently, remote photoplethysmography (rPPG)…

cs.CV20213 cited

Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation

Shuning Chang, Pichao Wang, Fan Wang +2

Temporal action proposal generation (TAPG) is a fundamental and challenging task in video understanding, especially in temporal action detection. Most previous works focus on captu…

cs.CV202195 cited

TransReID: Transformer-based Object Re-Identification

Shuting He, Hao Luo, Pichao Wang +3

Extracting robust feature representation is one of the key challenges in object re-identification (ReID). Although convolution neural network (CNN)-based methods have achieved grea…

cs.CV2021

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition

Ming Lin, Pichao Wang, Zhenhong Sun +5

Accuracy predictor is a key component in Neural Architecture Search (NAS) for ranking architectures. Building a high-quality accuracy predictor usually costs enormous computation.…

cs.CV20217 cited

Trear: Transformer-based RGB-D Egocentric Action Recognition

Xiangyu Li, Yonghong Hou, Pichao Wang +3

In this paper, we propose a \textbf{Tr}ansformer-based RGB-D \textbf{e}gocentric \textbf{a}ction \textbf{r}ecognition framework, called Trear. It consists of two modules, inter-fra…

cs.CV2020

Transformer Guided Geometry Model for Flow-Based Unsupervised Visual Odometry

Xiangyu Li, Yonghong Hou, Pichao Wang +3

Existing unsupervised visual odometry (VO) methods either match pairwise images or integrate the temporal information using recurrent neural networks over a long sequence of images…