1 code implementation • ICCV 2023 • Liangqi Li, Jiaxu Miao, Dahu Shi, Wenming Tan, Ye Ren, Yi Yang, ShiLiang Pu
Current methods for open-vocabulary object detection (OVOD) rely on a pre-trained vision-language model (VLM) to acquire the recognition ability.
1 code implementation • ICCV 2023 • Heng Zhao, Shenxing Wei, Dahu Shi, Wenming Tan, Zheyang Li, Ye Ren, Xing Wei, Yi Yang, ShiLiang Pu
Taking the symmetry properties of objects into consideration, we design a symmetry-aware matching loss to facilitate the learning of dense point-wise geometry features and improve the performance considerably.
no code implementations • CVPR 2023 • Chen Lin, Bo Peng, Zheyang Li, Wenming Tan, Ye Ren, Jun Xiao, ShiLiang Pu
To this end, we detach a sharpness term from the loss which reflects the impact of quantization noise.
1 code implementation • NIPS 2022 • Zheng Chuanyang, Zheyang Li, Kai Zhang, Zhi Yang, Wenming Tan, Jun Xiao, Ye Ren, ShiLiang Pu
In this paper, we introduce joint importance, which integrates essential structural-aware interactions between components for the first time, to perform collaborative pruning.
no code implementations • 17 Jan 2022 • Chen Lin, Zheyang Li, Bo Peng, Haoji Hu, Wenming Tan, Ye Ren, ShiLiang Pu
This paper introduces a post-training quantization~(PTQ) method achieving highly efficient Convolutional Neural Network~ (CNN) quantization with high performance.
1 code implementation • CVPR 2022 • Dahu Shi, Xing Wei, Liangqi Li, Ye Ren, Wenming Tan
Current methods of multi-person pose estimation typically treat the localization and association of body joints separately.
1 code implementation • 21 Dec 2021 • Xiaodong Yu, Dahu Shi, Xing Wei, Ye Ren, Tingqun Ye, Wenming Tan
The pixel-wise mask, especially, is embedded by a group of parameters to construct a lightweight instance-aware transformer.
1 code implementation • 19 Jul 2021 • Dahu Shi, Xing Wei, Xiaodong Yu, Wenming Tan, Ye Ren, ShiLiang Pu
Multi-person pose estimation is an attractive and challenging task.
Ranked #4 on Multi-Person Pose Estimation on COCO minival
no code implementations • 17 Oct 2020 • Pengbo Zhao, Zhenshen Qu, Yingjia Bu, Wenming Tan, Ye Ren, ShiLiang Pu
Fast and precise object detection for high-resolution aerial images has been a challenging task over the years.
Ranked #35 on Object Detection In Aerial Images on DOTA (using extra training data)