Search Results for author: Lu Li

Found 20 papers, 10 papers with code

READ: Large-Scale Neural Scene Rendering for Autonomous Driving

1 code implementation11 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.

3D Scene Reconstruction Autonomous Driving +4

Hybrid Reasoning Network for Video-based Commonsense Captioning

1 code implementation5 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.

Content-Augmented Feature Pyramid Network with Light Linear Spatial Transformers for Object Detection

no code implementations20 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.

Object Detection

Minimal Cycle Representatives in Persistent Homology using Linear Programming: an Empirical Study with User's Guide

no code implementations14 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.

Rademacher complexity of noisy quantum circuits

no code implementations4 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

Effects of quantum resources on the statistical complexity of quantum circuits

no code implementations5 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.

Learning Theory

On the statistical complexity of quantum circuits

no code implementations15 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.

PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing Images

1 code implementation7 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.

Crowd Counting Object Counting

Robust Gaussian Process Regression Based on Iterative Trimming

1 code implementation22 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.

OCNLI: Original Chinese Natural Language Inference

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).

Natural Language Inference Translation

CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese

2 code implementations13 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.

Chinese Named Entity Recognition NER

Learning Spatiotemporal Features of Ride-sourcing Services with Fusion Convolutional Network

no code implementations15 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.

A Multi-Domain Feature Learning Method for Visual Place Recognition

no code implementations26 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.

Visual Place Recognition

MRS-VPR: a multi-resolution sampling based global visual place recognition method

no code implementations26 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.

Loop Closure Detection Visual Navigation +1

Observation data pre-processing and scientific data products generation of POLAR

2 code implementations3 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

In-Orbit Instrument Performance Study and Calibration for POLAR Polarization Measurements

1 code implementation19 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

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