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Longin Jan Latecki

Longin Jan Latecki

D-Index & Metrics

Computer Science

D-Index
64
Citations
14395
World Ranking
2633
National Ranking
1304

Overview

Longin Jan Latecki is a researcher affiliated with Temple University in the United States. Their research primarily focuses on computer science, with a significant number of publications in the subfield of computer vision and pattern recognition.

Their work covers various main topics, including:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Image Retrieval and Classification Techniques
  • Dental Radiography and Imaging

Latecki has contributed to numerous papers, with some of the recent publications listed below along with their year and venue:

  • AGLNet: Towards real-time semantic segmentation of self-driving images via attention-guided lightweight network, 2020, Applied Soft Computing
  • Contextual ensemble network for semantic segmentation, 2021, Pattern Recognition
  • Entropy Minimization Versus Diversity Maximization for Domain Adaptation, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • BANet: Boundary-Assistant Encoder-Decoder Network for Semantic Segmentation, 2022, IEEE Transactions on Intelligent Transportation Systems
  • DPNet: Dual-Path Network for Real-Time Object Detection With Lightweight Attention, 2024, IEEE Transactions on Neural Networks and Learning Systems

Frequent co-authors collaborating with Latecki include:

  • Xiaofu Wu
  • Quan Zhou
  • Huitong Pan
  • Eduard Dragut
  • Daniel Carlos Guimarães Pedronette

The researcher has published extensively in the following venues, reflecting their active engagement in the scholarly community:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • IEEE Access
  • IEEE Transactions on Image Processing

Best Publications

  • Shape descriptors for non-rigid shapes with a single closed contour

    L.J. Latecki;R. Lakamper;T. Eckhardt

  • Shape similarity measure based on correspondence of visual parts

    L.J. Latecki;R. Lakamper

  • Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution

    Xiang Bai;L.J. Latecki;Wen-Yu Liu

  • Incremental Local Outlier Detection for Data Streams

    D. Pokrajac;A. Lazarevic;L.J. Latecki

  • Convexity Rule for Shape Decomposition Based on Discrete Contour Evolution

    Longin Jan Latecki;Rolf Lakämper

  • Path Similarity Skeleton Graph Matching

    Xiang Bai;L.J. Latecki

  • Lednet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation

    Yu Wang;Quan Zhou;Jia Liu;Jian Xiong

  • Learning Context-Sensitive Shape Similarity by Graph Transduction

    Xiang Bai;Xingwei Yang;L.J. Latecki;Wenyu Liu

  • Outlier Detection with Kernel Density Functions

    Longin Jan Latecki;Aleksandar Lazarevic;Dragoljub Pokrajac

  • GIFT: A Real-Time and Scalable 3D Shape Search Engine

    Song Bai;Xiang Bai;Zhichao Zhou;Zhaoxiang Zhang

  • Locally constrained diffusion process on locally densified distance spaces with applications to shape retrieval

    Xingwei Yang;Suzan Koknar-Tezel;Longin Jan Latecki

  • Maximum weight cliques with mutex constraints for video object segmentation

    Tianyang Ma;Longin Jan Latecki

  • Shape matching and classification using height functions

    Junwei Wang;Xiang Bai;Xinge You;Wenyu Liu

  • Bag of contour fragments for robust shape classification

    Xinggang Wang;Bin Feng;Xiang Bai;Wenyu Liu

  • Improving Shape Retrieval by Learning Graph Transduction

    Xingwei Yang;Xiang Bai;Xiang Bai;Longin Jan Latecki;Zhuowen Tu

  • DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks.

    Chao Li;Xinggang Wang;Wenyu Liu;Longin Jan Latecki

  • Affinity Learning with Diffusion on Tensor Product Graph

    Xingwei Yang;L. Prasad;L. J. Latecki

  • Weakly supervised mitosis detection in breast histopathology images using concentric loss.

    Chao Li;Xinggang Wang;Wenyu Liu;Longin Jan Latecki

  • Application of planar shape comparison to object retrieval in image databases

    Longin Jan Latecki;Rolf Lakämper

  • Well-composed sets

    Longin Latecki;Ulrich Eckhardt;Azriel Rosenfeld

  • Balancing deformability and discriminability for shape matching

    Haibin Ling;Xingwei Yang;Longin Jan Latecki

Frequent Co-Authors

Xiang Bai
Xiang Bai Huazhong University of Science and Technology
Wenyu Liu
Wenyu Liu Huazhong University of Science and Technology
Song Bai
Song Bai ByteDance
David M. Mount
David M. Mount University of Maryland, College Park
Azriel Rosenfeld
Azriel Rosenfeld University of Maryland, College Park
Haibin Ling
Haibin Ling Westlake University
Xinggang Wang
Xinggang Wang Huazhong University of Science and Technology
Qi Tian
Qi Tian Huawei Technologies (China)
Shuicheng Yan
Shuicheng Yan National University of Singapore
Zhuowen Tu
Zhuowen Tu University of California, San Diego

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