1 code implementation • 7 Jul 2022 • Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Jing Yin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos
We formulate this as a learning problem where the goal is to assign operators to proposals, in the detection head, so that the total computational cost is constrained and the precision is maximized.
1 code implementation • 11 Apr 2022 • Biao Fu, PeiGen Ye, Liang Zhang, Pei Yu, Cong Hu, Yidong Chen, Xiaodong Shi
Sign Language Translation (SLT) is a promising technology to bridge the communication gap between the deaf and the hearing people.
Ranked #6 on Sign Language Translation on CSL-Daily
no code implementations • 10 Mar 2022 • Ying Jin, Yinpeng Chen, Lijuan Wang, JianFeng Wang, Pei Yu, Lin Liang, Jenq-Neng Hwang, Zicheng Liu
Human-Object Interaction (HOI) recognition is challenging due to two factors: (1) significant imbalance across classes and (2) requiring multiple labels per image.
no code implementations • 25 Jan 2022 • Peixi Xiong, Quanzeng You, Pei Yu, Zicheng Liu, Ying Wu
As a multi-modality task, it is challenging since it requires not only visual and textual understanding, but also the ability to align cross-modality representations.
no code implementations • arXiv 2021 • Ying Jin, Yinpeng Chen, Lijuan Wang, JianFeng Wang, Pei Yu, Lin Liang, Jenq-Neng Hwang, Zicheng Liu
Human-Object Interaction (HOI) recognition is challenging due to two factors: (1) significant imbalance across classes and (2) requiring multiple labels per image.
Ranked #1 on Human-Object Interaction Detection on HICO
no code implementations • 12 Dec 2021 • Pei Yu, Yinpeng Chen, Ying Jin, Zicheng Liu
This paper proposes a working recipe of using Vision Transformer (ViT) in class incremental learning.
no code implementations • arXiv 2021 • Ying Jin, Yinpeng Chen, Lijuan Wang, JianFeng Wang, Pei Yu, Zicheng Liu, Jenq-Neng Hwang
This paper revisits human-object interaction (HOI) recognition at image level without using supervisions of object location and human pose.
1 code implementation • 6 May 2021 • Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou
We propose to explore the transferabilities of the ML methods both across tasks and across DBs to tackle these fundamental drawbacks.
no code implementations • 28 Jan 2021 • Tianyu Xie, Zhiyuan Zhao, Xi Kong, Wenchao Ma, Mengqi Wang, Xiangyu Ye, Pei Yu, Zhiping Yang, Shaoyi Xu, Pengfei Wang, Ya Wang, Fazhan Shi, Jiangfeng Du
However, it has not been realized in solid-state spin systems at ambient conditions, owing to its intrinsic complexity for the preparation and survival of pure and entangled quantum states.
Quantum Physics
1 code implementation • 17 Nov 2019 • Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen
In this work, we show that such adversarial-based methods can only reduce the domain style gap, but cannot address the domain content distribution gap that is shown to be important for object detectors.
no code implementations • ECCV 2018 • Wei Tang, Pei Yu, Ying Wu
This results in a network with a hierarchical compositional architecture and bottom-up/top-down inference stages.
Ranked #11 on Pose Estimation on MPII Human Pose
no code implementations • ICCV 2017 • Wei Tang, Pei Yu, Jiahuan Zhou, Ying Wu
Compositional models represent visual patterns as hierarchies of meaningful and reusable parts.
no code implementations • ICCV 2017 • Jiahuan Zhou, Pei Yu, Wei Tang, Ying Wu
In contrast to these methods, this paper advocates a different paradigm: part of the learning can be performed online but with nominal costs, so as to achieve online metric adaptation for different input probes.
no code implementations • CVPR 2016 • Pei Yu, Jiahuan Zhou, Ying Wu
A common treatment is to use the same local reconstruction in the two spaces, i. e., the reconstruction weights in the appearance space are transferred to the gaze space for gaze reconstruction.