Search Results for author: Jinlong Li

Found 38 papers, 13 papers with code

Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing

no code implementations ACL 2022 Runxin Sun, Shizhu He, Chong Zhu, Yaohan He, Jinlong Li, Jun Zhao, Kang Liu

Text-to-SQL aims to parse natural language questions into SQL queries, which is valuable in providing an easy interface to access large databases.

SQL Parsing Text-To-SQL

All Information is Valuable: Question Matching over Full Information Transmission Network

no code implementations Findings (NAACL) 2022 Le Qi, Yu Zhang, Qingyu Yin, Guidong Zheng, Wen Junjie, Jinlong Li, Ting Liu

In this process, there are two kinds of critical information that are commonly employed: the representation information of original questions and the interactive information between pairs of questions.

Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Cross-Regularization

no code implementations11 Jul 2024 Jinlong Li, Zequn Jie, Elisa Ricci, Lin Ma, Nicu Sebe

In this paper, we introduce an orthogonal finetuning method for efficiently updating pretrained weights which enhances robustness and generalization, while a cross-regularization strategy is further exploited to maintain the stability in terms of zero-shot generalization of VLMs, dubbed \textbf{\textit{OrthCR}}.

Data Augmentation Domain Generalization +1

From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning

no code implementations21 Jun 2024 Adnan Ali, Jinlong Li, Huanhuan Chen, Ali Kashif Bashir

The variation, quantity, and quality of negative samples compared to positive samples play crucial roles in learning meaningful embeddings for node classification downstream tasks.

Contrastive Learning Data Augmentation +1

Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving

no code implementations CVPR 2024 Jinlong Li, Baolu Li, Zhengzhong Tu, Xinyu Liu, Qing Guo, Felix Juefei-Xu, Runsheng Xu, Hongkai Yu

Vision-centric perception systems for autonomous driving have gained considerable attention recently due to their cost-effectiveness and scalability, especially compared to LiDAR-based systems.

Autonomous Driving

Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sources

1 code implementation6 Feb 2024 Jinlong Li, Baolu Li, Xinyu Liu, Runsheng Xu, Jiaqi Ma, Hongkai Yu

However, the data source to train the various agents is independent and private in each company, leading to the Distribution Gap of different private data for training distinct agents in multi-agent perception system.

3D Object Detection object-detection

AdvGPS: Adversarial GPS for Multi-Agent Perception Attack

1 code implementation30 Jan 2024 Jinlong Li, Baolu Li, Xinyu Liu, Jianwu Fang, Felix Juefei-Xu, Qing Guo, Hongkai Yu

The multi-agent perception system collects visual data from sensors located on various agents and leverages their relative poses determined by GPS signals to effectively fuse information, mitigating the limitations of single-agent sensing, such as occlusion.

Adversarial Attack object-detection +1

CEScore: Simple and Efficient Confidence Estimation Model for Evaluating Split and Rephrase

no code implementations3 Dec 2023 AlMotasem Bellah Al Ajlouni, Jinlong Li

This underscores the potential of CEScore as a simple and effective metric for assessing the overall quality of SR models.

Sentence Split and Rephrase

VehicleGAN: Pair-flexible Pose Guided Image Synthesis for Vehicle Re-identification

no code implementations27 Nov 2023 Baolu Li, Ping Liu, Lan Fu, Jinlong Li, Jianwu Fang, Zhigang Xu, Hongkai Yu

Vehicle Re-identification (Re-ID) has been broadly studied in the last decade; however, the different camera view angle leading to confused discrimination in the feature subspace for the vehicles of various poses, is still challenging for the Vehicle Re-ID models in the real world.

Data Augmentation Image Generation +2

Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy Weather

no code implementations18 Jul 2023 Jinlong Li, Runsheng Xu, Xinyu Liu, Jin Ma, Baolu Li, Qin Zou, Jiaqi Ma, Hongkai Yu

To bridge the domain gap and improve the performance of object detection in foggy and rainy weather, this paper presents a novel framework for domain-adaptive object detection.

Autonomous Driving Data Augmentation +4

S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality

no code implementations16 Jul 2023 Jinlong Li, Runsheng Xu, Xinyu Liu, Baolu Li, Qin Zou, Jiaqi Ma, Hongkai Yu

We investigate the effects of these two types of domain gaps and propose a novel uncertainty-aware vision transformer to effectively relief the Deployment Gap and an agent-based feature adaptation module with inter-agent and ego-agent discriminators to reduce the Feature Gap.

3D Object Detection object-detection +1

Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection

no code implementations30 Jun 2023 Huiming Sun, Lan Fu, Jinlong Li, Qing Guo, Zibo Meng, Tianyun Zhang, Yuewei Lin, Hongkai Yu

Furthermore, we design DefenseNet as a learn-able pre-processing to the adversarial cloudy images so as to preserve the performance of the deep learning based remote sensing SOD model, without tuning the already deployed deep SOD model.

Adversarial Attack object-detection +2

Deep Transfer Learning for Intelligent Vehicle Perception: a Survey

no code implementations26 Jun 2023 Xinyu Liu, Jinlong Li, Jin Ma, Huiming Sun, Zhigang Xu, Tianyun Zhang, Hongkai Yu

To the best of our knowledge, this paper represents the first comprehensive survey on the topic of the deep transfer learning for intelligent vehicle perception.

Autonomous Driving Decision Making +2

Semi-supervised Large-scale Fiber Detection in Material Images with Synthetic Data

no code implementations10 Feb 2023 Lan Fu, Zhiyuan Liu, Jinlong Li, Jeff Simmons, Hongkai Yu, Song Wang

Accurate detection of large-scale, elliptical-shape fibers, including their parameters of center, orientation and major/minor axes, on the 2D cross-sectioned image slices is very important for characterizing the underlying cylinder 3D structures in microscopic material images.

Domain Adaptation

Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication

1 code implementation16 Dec 2022 Jinlong Li, Runsheng Xu, Xinyu Liu, Jin Ma, Zicheng Chi, Jiaqi Ma, Hongkai Yu

Due to the beneficial Vehicle-to-Vehicle (V2V) communication, the deep learning based features from other agents can be shared to the ego vehicle so as to improve the perception of the ego vehicle.

3D Object Detection object-detection

Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review

no code implementations9 Nov 2022 Talha Azfar, Jinlong Li, Hongkai Yu, Ruey Long Cheu, Yisheng Lv, Ruimin Ke

This paper conducted an extensive literature review on the applications of computer vision in ITS and AD, and discusses challenges related to data, models, and complex urban environments.

Autonomous Driving Edge-computing

Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather

1 code implementation27 Oct 2022 Jinlong Li, Runsheng Xu, Jin Ma, Qin Zou, Jiaqi Ma, Hongkai Yu

This paper proposes a novel domain adaptive object detection framework for autonomous driving under foggy weather.

Autonomous Driving Data Augmentation +4

Bridging the Domain Gap for Multi-Agent Perception

1 code implementation16 Oct 2022 Runsheng Xu, Jinlong Li, Xiaoyu Dong, Hongkai Yu, Jiaqi Ma

Existing multi-agent perception algorithms usually select to share deep neural features extracted from raw sensing data between agents, achieving a trade-off between accuracy and communication bandwidth limit.

3D Object Detection Domain Adaptation +1

Weakly Supervised Semantic Segmentation via Progressive Patch Learning

1 code implementation16 Sep 2022 Jinlong Li, Zequn Jie, Xu Wang, Yu Zhou, Xiaolin Wei, Lin Ma

"Progressive Patch Learning" further extends the feature destruction and patch learning to multi-level granularities in a progressive manner.

Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation

Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation

1 code implementation16 Sep 2022 Jinlong Li, Zequn Jie, Xu Wang, Xiaolin Wei, Lin Ma

To tackle with this issue, this paper proposes an Expansion and Shrinkage scheme based on the offset learning in the deformable convolution, to sequentially improve the recall and precision of the located object in the two respective stages.

Object Weakly supervised Semantic Segmentation +1

Features Based Adaptive Augmentation for Graph Contrastive Learning

1 code implementation5 Jul 2022 Adnan Ali, Jinlong Li

Self-Supervised learning aims to eliminate the need for expensive annotation in graph representation learning, where graph contrastive learning (GCL) is trained with the self-supervision signals containing data-data pairs.

Contrastive Learning Graph Representation Learning +1

Pik-Fix: Restoring and Colorizing Old Photos

1 code implementation4 May 2022 Runsheng Xu, Zhengzhong Tu, Yuanqi Du, Xiaoyu Dong, Jinlong Li, Zibo Meng, Jiaqi Ma, Alan Bovik, Hongkai Yu

Our proposed framework consists of three modules: a restoration sub-network that conducts restoration from degradations, a similarity network that performs color histogram matching and color transfer, and a colorization subnet that learns to predict the chroma elements of images conditioned on chromatic reference signals.


Exploring High-Order Structure for Robust Graph Structure Learning

no code implementations22 Mar 2022 Guangqian Yang, Yibing Zhan, Jinlong Li, Baosheng Yu, Liu Liu, Fengxiang He

In this paper, we analyze the adversarial attack on graphs from the perspective of feature smoothness which further contributes to an efficient new adversarial defensive algorithm for GNNs.

Adversarial Attack Graph structure learning +1

ROMNet: Renovate the Old Memories

no code implementations5 Feb 2022 Runsheng Xu, Zhengzhong Tu, Yuanqi Du, Xiaoyu Dong, Jinlong Li, Zibo Meng, Jiaqi Ma, Hongkai Yu

Renovating the memories in old photos is an intriguing research topic in computer vision fields.


SMDT: Selective Memory-Augmented Neural Document Translation

no code implementations5 Jan 2022 Xu Zhang, Jian Yang, Haoyang Huang, Shuming Ma, Dongdong Zhang, Jinlong Li, Furu Wei

Existing document-level neural machine translation (NMT) models have sufficiently explored different context settings to provide guidance for target generation.

Document Level Machine Translation Document Translation +4

OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication

3 code implementations16 Sep 2021 Runsheng Xu, Hao Xiang, Xin Xia, Xu Han, Jinlong Li, Jiaqi Ma

We then construct a comprehensive benchmark with a total of 16 implemented models to evaluate several information fusion strategies~(i. e. early, late, and intermediate fusion) with state-of-the-art LiDAR detection algorithms.

3D Object Detection Benchmarking

N-ary Constituent Tree Parsing with Recursive Semi-Markov Model

1 code implementation ACL 2021 Xin Xin, Jinlong Li, Zeqi Tan

In this paper, we study the task of graph-based constituent parsing in the setting that binarization is not conducted as a pre-processing step, where a constituent tree may consist of nodes with more than two children.

Binarization Constituency Parsing

Let There be Light: Improved Traffic Surveillance via Detail Preserving Night-to-Day Transfer

no code implementations11 May 2021 Lan Fu, Hongkai Yu, Felix Juefei-Xu, Jinlong Li, Qing Guo, Song Wang

As one of the state-of-the-art perception approaches, detecting the interested objects in each frame of video surveillance is widely desired by ITS.

Object object-detection +2

A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes

no code implementations15 Dec 2020 Peng Zhang, Jinlong Li, Tengfei Li, Huanhuan Chen

To handle different types of Many-Objective Optimization Problems (MaOPs), Many-Objective Evolutionary Algorithms (MaOEAs) need to simultaneously maintain convergence and population diversity in the high-dimensional objective space.

Diversity Evolutionary Algorithms +1

Online Dynamic Network Embedding

no code implementations30 Jun 2020 Haiwei Huang, Jinlong Li, Huimin He, Huanhuan Chen

Network embedding is a very important method for network data.

Network Embedding

Hierarchical Modes Exploring in Generative Adversarial Networks

no code implementations5 Mar 2020 Mengxiao Hu, Jinlong Li, Maolin Hu, Tao Hu

In conditional Generative Adversarial Networks (cGANs), when two different initial noises are concatenated with the same conditional information, the distance between their outputs is relatively smaller, which makes minor modes likely to collapse into large modes.

Diversity Text-to-Image Generation +1

Use Short Isometric Shapelets to Accelerate Binary Time Series Classification

no code implementations27 Dec 2019 Weibo Shu, Yaqiang Yao, Shengfei Lyu, Jinlong Li, Huanhuan Chen

In the research area of time series classification, the ensemble shapelet transform algorithm is one of state-of-the-art algorithms for classification.

Classification General Classification +3

Exploring Bias in GAN-based Data Augmentation for Small Samples

no code implementations21 May 2019 Mengxiao Hu, Jinlong Li

For machine learning task, lacking sufficient samples mean the trained model has low confidence to approach the ground truth function.

Data Augmentation

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