no code implementations • 9 Apr 2024 • Sekeun Kim, Hui Ren, Peng Guo, Abder-Rahman Ali, Patrick Zhang, Kyungsang Kim, Xiang Li, Quanzheng Li
Echocardiography segmentation for cardiac analysis is time-consuming and resource-intensive due to the variability in image quality and the necessity to process scans from various standard views.
no code implementations • 6 Jan 2024 • Xue Cheng, Peng Guo, Tai-Ho Wang
The strategies that the agent is allowed to deploy is subject to a benchmark, referred to as the reservation strategy, regulated by the client.
1 code implementation • 6 Sep 2023 • Sijin Chen, Hongyuan Zhu, Mingsheng Li, Xin Chen, Peng Guo, Yinjie Lei, Gang Yu, Taihao Li, Tao Chen
Moreover, we argue that object localization and description generation require different levels of scene understanding, which could be challenging for a shared set of queries to capture.
no code implementations • 28 Mar 2023 • Cheng Wang, Guoli Wang, Qian Zhang, Peng Guo, Wenyu Liu, Xinggang Wang
Fortunately, we have identified two observations that help us achieve the best of both worlds: 1) query-based methods demonstrate superiority over dense proposal-based methods in open-world instance segmentation, and 2) learning localization cues is sufficient for open world instance segmentation.
1 code implementation • 21 Aug 2022 • Yang Zhao, Peng Guo, Han Gao, Xiuwan Chen
Generative methods are common approaches to minimizing the domain gap of aerial images which improves the performance of the downstream tasks, e. g., cross-domain semantic segmentation.
no code implementations • 13 Jun 2022 • Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Peng Guo, Zhiyun Xue, Sameer K Antani
We observed that the stacking ensemble demonstrated superior segmentation performance (Dice score: 0. 5743, 95% confidence interval: (0. 4055, 0. 7431)) compared to the individual constituent models and other ensemble methods.
2 code implementations • CVPR 2022 • Gangwei Xu, Junda Cheng, Peng Guo, Xin Yang
Stereo matching is a fundamental building block for many vision and robotics applications.
Ranked #1 on
Stereo Depth Estimation
on Spring
1 code implementation • 27 Jan 2022 • Yang Zhao, Peng Guo, Zihao Sun, Xiuwan Chen, Han Gao
The performance of a semantic segmentation model for remote sensing (RS) images pretrained on an annotated dataset would greatly decrease when testing on another unannotated dataset because of the domain gap.
no code implementations • CVPR 2021 • Cheng Chi, Qingjie Wang, Tianyu Hao, Peng Guo, Xin Yang
In this paper, we show that effective feature-level collaboration of the networks for the three respective tasks could achieve much greater performance improvement for all three tasks than only loss-level joint optimization.
1 code implementation • 6 May 2021 • Kun Lei, Peng Guo, Yi Wang, Xiao Wu, Wenchao Zhao
In this paper, an end-to-end deep reinforcement learning framework is proposed to solve this type of combinatorial optimization problems.
no code implementations • 11 Jan 2021 • Peng Guo, Bingwei Long
Coupled-channel two-particle systems bound by a harmonic trap are discussed in the present paper.
Nuclear Theory High Energy Physics - Lattice High Energy Physics - Phenomenology
no code implementations • 4 Jan 2021 • Peng Guo, Vladimir Gasparian
A formalism for describing charged particles interaction in both a finite volume and a uniform magnetic field is presented.
Quantization
High Energy Physics - Lattice
High Energy Physics - Phenomenology
no code implementations • 25 May 2020 • Jianxiong Wei, An-Xiang Zeng, Yueqiu Wu, Peng Guo, Qingsong Hua, Qingpeng Cai
In this paper, we present a novel Generator and Critic slate re-ranking approach, where the Critic evaluates the slate and the Generator ranks the items by the reinforcement learning approach.
no code implementations • 12 Jul 2019 • Yazhou Zhang, Lingling Song, Dawei Song, Peng Guo, Junwei Zhang, Peng Zhang
Existing sentiment analysis approaches are insufficient in modelling the interactions among people.
no code implementations • 22 May 2016 • Peng Guo, Wenming Cheng, Yi Wang
This paper considers the two-stage capacitated facility location problem (TSCFLP) in which products manufactured in plants are delivered to customers via storage depots.
no code implementations • 2 Sep 2013 • Peng Guo, Wenming Cheng, Yi Wang
Due to its NP-hard nature, a hybrid discrete cuckoo search algorithm is proposed to solve this problem.