Search Results for author: Ning li

Found 26 papers, 8 papers with code

Full-Time Monocular Road Detection Using Zero-Distribution Prior of Angle of Polarization

1 code implementation ECCV 2020 Ning Li, Yongqiang Zhao, Quan Pan, Seong G. Kong, Jonathan Cheung-Wai Chan

Zero-distribution prior embodies the zero-distribution of Angle of Polarization (AoP) of a road scene image, which provides a significant contrast between the road and the background.

Autonomous Navigation

Corner Detection Based on Multi-directional Gabor Filters with Multi-scales

no code implementations8 Mar 2023 Huaqing Wang, Junfeng Jing, Ning li, Weichuan Zhang, Chao Liu

In this work, the capability of the Gabor function to discriminate the intensity changes of step edges, L-shaped corners, Y-shaped or T-shaped corners, X-shaped corners, and star-shaped corners are investigated.

3D Reconstruction

UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction

no code implementations27 Feb 2023 Zhenwei Zhu, Liying Yang, Ning li, Chaohao Jiang, Yanyan Liang

We empirically demonstrate on ShapeNet and confirm that our decoupled learning method is adaptable for unordered multiple images.

3D Reconstruction

An Adaptive Plug-and-Play Network for Few-Shot Learning

no code implementations18 Feb 2023 Hao Li, Li Li, Yunmeng Huang, Ning li, Yongtao Zhang

Few-shot learning (FSL) requires a model to classify new samples after learning from only a few samples.

Few-Shot Learning

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators

no code implementations16 Feb 2023 Malte J. Rasch, Charles Mackin, Manuel Le Gallo, An Chen, Andrea Fasoli, Frederic Odermatt, Ning li, S. R. Nandakumar, Pritish Narayanan, Hsinyu Tsai, Geoffrey W. Burr, Abu Sebastian, Vijay Narayanan

Analog in-memory computing (AIMC) -- a promising approach for energy-efficient acceleration of deep learning workloads -- computes matrix-vector multiplications (MVMs) but only approximately, due to nonidealities that often are non-deterministic or nonlinear.

Multimodal Remote Sensing Image Registration Based on Adaptive Multi-scale PIIFD

no code implementations9 Nov 2022 Ning li, YuXuan Li, Jichao Jiao

Therefore, this paper proposes a multimodal remote sensing image registration method based on adaptive multi-scale PIIFD(AM-PIIFD).

Image Registration

Lexical semantics enhanced neural word embeddings

no code implementations3 Oct 2022 Dongqiang Yang, Ning li, Li Zou, Hongwei Ma

To improve vector space models in deriving semantic similarity, we post-process neural word embeddings through deep metric learning, through which we can inject lexical-semantic relations, including syn/antonymy and hypo/hypernymy, into a distributional space.

Association Metric Learning +3

Synonym Detection Using Syntactic Dependency And Neural Embeddings

no code implementations30 Sep 2022 Dongqiang Yang, Pikun Wang, Xiaodong Sun, Ning li

By comparing various Vector Space Models in detecting synonyms in TOEFL, we systematically study the salience of syntactic dependencies in accounting for distributional similarity.

Machine Translation Text Generation

In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory

no code implementations14 Jul 2022 Geethan Karunaratne, Michael Hersche, Jovin Langenegger, Giovanni Cherubini, Manuel Le Gallo-Bourdeau, Urs Egger, Kevin Brew, Sam Choi, INJO OK, Mary Claire Silvestre, Ning li, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, Luca Benini, Abu Sebastian, Abbas Rahimi

We demonstrate for the first time how the EM unit can physically superpose multiple training examples, expand to accommodate unseen classes, and perform similarity search during inference, using operations on an IMC core based on phase-change memory (PCM).

Continual Learning

Constructing Trajectory and Predicting Estimated Time of Arrival for Long Distance Travelling Vessels: A Probability Density-based Scanning Approach

no code implementations13 May 2022 Deqing Zhai, Xiuju Fu, Xiao Feng Yin, Haiyan Xu, Wanbing Zhang, Ning li

In this study, a probability density-based approach for constructing trajectories is proposed and validated through an typical use-case application: Estimated Time of Arrival (ETA) prediction given origin-destination pairs.

Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach -- Part 2

no code implementations8 Apr 2022 Deqing Zhai, Xiuju Fu, Xiao Feng Yin, Haiyan Xu, Wanbing Zhang, Ning li

In this study, a novel coordinative scheduling optimization approach is proposed to enhance port efficiency by reducing weighted average turnaround time.


Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach -- Part 1

no code implementations8 Apr 2022 Deqing Zhai, Xiuju Fu, Xiao Feng Yin, Haiyan Xu, Wanbing Zhang, Ning li

In this study, a novel coordinative scheduling optimization approach is proposed to enhance port efficiency by reducing average wait time and turnaround time.


Real-time division-of-focal-plane polarization imaging system with progressive networks

no code implementations26 Oct 2021 Rongyuan Wu, Yongqiang Zhao, Ning li, Seong G. Kong

Division-of-focal-plane (DoFP) polarization imaging technical recently has been applied in many fields.


Anomaly Detection via Self-organizing Map

1 code implementation21 Jul 2021 Ning li, Kaitao Jiang, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong

Anomaly detection plays a key role in industrial manufacturing for product quality control.

Unsupervised Anomaly Detection

A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection

no code implementations16 Feb 2021 Ning li, Tao Li, Chunyu Hu, Kai Wang, Hong Kang

In ophthalmology, early fundus screening is an economic and effective way to prevent blindness caused by ophthalmic diseases.

Multimodal Gait Recognition for Neurodegenerative Diseases

1 code implementation7 Jan 2021 Aite Zhao, Jianbo Li, Junyu Dong, Lin Qi, Qianni Zhang, Ning li, Xin Wang, Huiyu Zhou

In recent years, single modality based gait recognition has been extensively explored in the analysis of medical images or other sensory data, and it is recognised that each of the established approaches has different strengths and weaknesses.

Gait Recognition

SeqGenSQL -- A Robust Sequence Generation Model for Structured Query Language

2 code implementations7 Nov 2020 Ning li, Bethany Keller, Mark Butler, Daniel Cer

We explore using T5 (Raffel et al. (2019)) to directly translate natural language questions into SQL statements.

Text Generation Text-To-SQL

SWIPENET: Object detection in noisy underwater images

1 code implementation19 Oct 2020 Long Chen, Feixiang Zhou, Shengke Wang, Junyu Dong, Ning li, Haiping Ma, Xin Wang, Huiyu Zhou

Moreover, inspired by the human education process that drives the learning from easy to hard concepts, we here propose the CMA training paradigm that first trains a clean detector which is free from the influence of noisy data.

object-detection Small Object Detection

Bridging the gap between photovoltaics R&D and manufacturing with data-driven optimization

1 code implementation28 Apr 2020 Felipe Oviedo, Zekun Ren, Xue Hansong, Siyu Isaac Parker Tian, Kaicheng Zhang, Mariya Layurova, Thomas Heumueller, Ning li, Erik Birgersson, Shijing Sun, Benji Mayurama, Ian Marius Peters, Christoph J. Brabec, John Fisher III, Tonio Buonassisi

Novel photovoltaics, such as perovskites and perovskite-inspired materials, have shown great promise due to high efficiency and potentially low manufacturing cost.

Applied Physics

The Prevalence of Errors in Machine Learning Experiments

no code implementations10 Sep 2019 Martin Shepperd, Yuchen Guo, Ning li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi

Objective: We investigate the incidence of errors in a sample of machine learning experiments in the domain of software defect prediction.

BIG-bench Machine Learning

Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer

no code implementations9 Sep 2019 Jie Fu, Xinran Zhong, Ning li, Ritchell Van Dams, John Lewis, Kyunghyun Sung, Ann C. Raldow, Jing Jin, X. Sharon Qi

The model built with handcrafted features achieved the mean area under the ROC curve (AUC) of 0. 64, while the one built with DL-based features yielded the mean AUC of 0. 73.

Survival Prediction

Deep Neural Net with Attention for Multi-channel Multi-touch Attribution

1 code implementation6 Sep 2018 Ning li, Sai Kumar Arava, Chen Dong, Zhenyu Yan, Abhishek Pani

Customers are usually exposed to online digital advertisement channels, such as email marketing, display advertising, paid search engine marketing, along their way to purchase or subscribe products( aka.


Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval

1 code implementation CVPR 2018 Chao Li, Cheng Deng, Ning li, Wei Liu, Xinbo Gao, DaCheng Tao

In addition, we harness a self-supervised semantic network to discover high-level semantic information in the form of multi-label annotations.

Cross-Modal Retrieval Retrieval

Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians

no code implementations14 Dec 2017 Ning Li, Haopeng Liu, Bin Qiu, Wei Guo, Shijun Zhao, Kungang Li, Jie He

This paper proposes a novel and efficient method to build a Computer-Aided Diagnoses (CAD) system for lung nodule detection based on Computed Tomography (CT).

Computed Tomography (CT) Lung Nodule Detection +2

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