1 code implementation • 11 May 2022 • Zhuopeng Li, Lu Li, Zeyu Ma, Ping Zhang, Junbo Chen, Jianke Zhu
In this paper, a large-scale neural rendering method is proposed to synthesize the autonomous driving scene~(READ), which makes it possible to synthesize large-scale driving scenarios on a PC through a variety of sampling schemes.
Ranked #1 on
Novel View Synthesis
on KITTI
1 code implementation • 5 Aug 2021 • Weijiang Yu, Jian Liang, Lei Ji, Lu Li, Yuejian Fang, Nong Xiao, Nan Duan
Firstly, we develop multi-commonsense learning for semantic-level reasoning by jointly training different commonsense types in a unified network, which encourages the interaction between the clues of multiple commonsense descriptions, event-wise captions and videos.
no code implementations • 20 May 2021 • Yongxiang Gu, Xiaolin Qin, Yuncong Peng, Lu Li
As one of the prevalent components, Feature Pyramid Network (FPN) is widely used in current object detection models for improving multi-scale object detection performance.
no code implementations • 14 May 2021 • Lu Li, Connor Thompson, Gregory Henselman-Petrusek, Chad Giusti, Lori Ziegelmeier
Cycle representatives of persistent homology classes can be used to provide descriptions of topological features in data.
no code implementations • 4 Mar 2021 • Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, Yaobo Zhang
Noise in quantum systems is a major obstacle to implementing many quantum algorithms on large quantum circuits.
Quantum Physics
no code implementations • 5 Feb 2021 • Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, Yaobo Zhang
We investigate how the addition of quantum resources changes the statistical complexity of quantum circuits by utilizing the framework of quantum resource theories.
no code implementations • 15 Jan 2021 • Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, Yaobo Zhang
In this work, we apply a particular measure of statistical complexity, namely the Rademacher complexity, to the quantum circuit model in quantum computation and study how the statistical complexity depends on various quantum circuit parameters.
1 code implementation • 7 Dec 2020 • Guangshuai Gao, Qingjie Liu, Zhenghui Hu, Lu Li, Qi Wen, Yunhong Wang
Object counting, which aims to count the accurate number of object instances in images, has been attracting more and more attention.
1 code implementation • 22 Nov 2020 • Zhao-Zhou Li, Lu Li, Zhengyi Shao
The Gaussian process (GP) regression can be severely biased when the data are contaminated by outliers.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Hai Hu, Kyle Richardson, Liang Xu, Lu Li, Sandra Kuebler, Lawrence S. Moss
In this paper, we present the first large-scale NLI dataset (consisting of ~56, 000 annotated sentence pairs) for Chinese called the Original Chinese Natural Language Inference dataset (OCNLI).
no code implementations • 27 May 2020 • Haley Grant Yifan Zhang, Lu Li, Yan Wang, Satomi Kawamoto, Sophie Pénisson, Daniel F. Fouladi, Shahab Shayesteh, Alejandra Blanco, Saeed Ghandili, Eva Zinreich, Jefferson S. Graves, Seyoun Park, Scott Kern, Jody Hooper, Alan L. Yuille, Elliot K Fishman, Linda Chu, Cristian Tomasetti
Obesity increases significantly cancer risk in various organs.
3 code implementations • COLING 2020 • Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, Chenjie Cao, Yudong Li, Yechen Xu, Kai Sun, Dian Yu, Cong Yu, Yin Tian, Qianqian Dong, Weitang Liu, Bo Shi, Yiming Cui, Junyi Li, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Zhe Zhao, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Kyle Richardson, Zhenzhong Lan
The advent of natural language understanding (NLU) benchmarks for English, such as GLUE and SuperGLUE allows new NLU models to be evaluated across a diverse set of tasks.
2 code implementations • 13 Jan 2020 • Liang Xu, Yu tong, Qianqian Dong, Yixuan Liao, Cong Yu, Yin Tian, Weitang Liu, Lu Li, Caiquan Liu, Xuanwei Zhang
In this paper, we introduce the NER dataset from CLUE organization (CLUENER2020), a well-defined fine-grained dataset for named entity recognition in Chinese.
no code implementations • 10 Dec 2019 • Lu Li, Zhongheng He, Xiangyang Zhou, dianhai yu
Automatic dialogue evaluation plays a crucial role in open-domain dialogue research.
no code implementations • 15 Apr 2019 • Feng Xiao, Dapeng Zhang, Gang Kou, Lu Li
To collectively forecast the demand for ride-sourcing services in all regions of a city, the deep learning approaches have been applied with commendable results.
no code implementations • 26 Feb 2019 • Peng Yin, Lingyun Xu, Xueqian Li, Chen Yin, Yingli Li, Rangaprasad Arun Srivatsan, Lu Li, Jianmin Ji, Yuqing He
Visual Place Recognition (VPR) is an important component in both computer vision and robotics applications, thanks to its ability to determine whether a place has been visited and where specifically.
no code implementations • 26 Feb 2019 • Peng Yin, Rangaprasad Arun Srivatsan, Yin Chen, Xueqian Li, Hongda Zhang, Lingyun Xu, Lu Li, Zhenzhong Jia, Jianmin Ji, Yuqing He
We propose MRS-VPR, a multi-resolution, sampling-based place recognition method, which can significantly improve the matching efficiency and accuracy in sequential matching.
2 code implementations • 3 Jan 2019 • Zheng-Heng Li, Jian-Chao Sun, Li-Ming Song, Bo-Bing Wu, Lu Li, Xing Wen, Hua-Lin Xiao, Shao-Lin Xiong, Lai-Yu Zhang, Shuang-Nan Zhang, Yong-Jie Zhang
This pipeline has been successfully applied for the use by the POLAR Science Data Center in IHEP after POLAR was launched and switched on.
Instrumentation and Methods for Astrophysics High Energy Physics - Experiment Data Analysis, Statistics and Probability
2 code implementations • ACL 2018 • Xiangyang Zhou, Lu Li, daxiang dong, Yi Liu, Ying Chen, Wayne Xin Zhao, dianhai yu, Hua Wu
Human generates responses relying on semantic and functional dependencies, including coreference relation, among dialogue elements and their context.
Ranked #6 on
Conversational Response Selection
on RRS
1 code implementation • 19 May 2018 • Zheng-Heng Li, Merlin Kole, Jian-Chao Sun, Li-Ming Song, Nicolas Produit, Bo-Bing Wu, Tianwei Bao, Tancredi Bernasconi, Franck Cadoux, Yongwei Dong, Minzi Feng, Neal Gauvin, Wojtek Hajdas, Hancheng Li, Lu Li, Xin Liu, Radoslaw Marcinkowski, Martin Pohl, Dominik K. Rybka, Haoli Shi, Jacek Szabelski, Teresa Tymieniecka, Ruijie Wang, Yuanhao Wang, Xing Wen, Xin Wu, Shao-Lin Xiong, Anna Zwolinska, Li Zhang, Lai-Yu Zhang, Shuang-Nan Zhang, Yong-Jie Zhang, Yi Zhao
POLAR is a compact space-borne detector designed to perform reliable measurements of the polarization for transient sources like Gamma-Ray Bursts in the energy range 50-500keV.
Instrumentation and Methods for Astrophysics High Energy Physics - Experiment Instrumentation and Detectors