Search Results for author: Longin Jan Latecki

Found 23 papers, 9 papers with code

Enhanced Masked Image Modeling for Analysis of Dental Panoramic Radiographs

no code implementations18 Jun 2023 Amani Almalki, Longin Jan Latecki

Another barrier in dental imaging is the limited number of available images for training, which is a challenge in the era of deep learning.

Instance Segmentation Self-Supervised Learning +1

DMDD: A Large-Scale Dataset for Dataset Mentions Detection

no code implementations19 May 2023 Huitong Pan, Qi Zhang, Eduard Dragut, Cornelia Caragea, Longin Jan Latecki

We use DMDD to establish baseline performance for dataset mention detection and linking.

Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification

no code implementations24 Apr 2023 Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki

In spite of many advances, most of the approaches require a large amount of labeled data, which is often not available, due to costs and difficulties of manual labeling processes.

Classification Semi-Supervised Image Classification

Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning

1 code implementation24 Apr 2023 Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki

High effective results demonstrate the effectiveness of the proposed method on different tasks: unsupervised image retrieval, semi-supervised classification, and person Re-ID.

Image Retrieval Retrieval

Weakly Supervised Annotations for Multi-modal Greeting Cards Dataset

no code implementations1 Dec 2022 Sidra Hanif, Longin Jan Latecki

In our work, we propose to aggregate features from pretrained images and text embeddings to learn abstract visual concepts from GCD.

Image Captioning

DPNet: Dual-Path Network for Real-time Object Detection with Lightweight Attention

2 code implementations28 Sep 2022 Quan Zhou, Huimin Shi, Weikang Xiang, Bin Kang, Xiaofu Wu, Longin Jan Latecki

The recent advances of compressing high-accuracy convolution neural networks (CNNs) have witnessed remarkable progress for real-time object detection.

object-detection Real-Time Object Detection

DRBANET: A Lightweight Dual-Resolution Network for Semantic Segmentation with Boundary Auxiliary

no code implementations31 Oct 2021 Linjie Wang, Quan Zhou, Chenfeng Jiang, Xiaofu Wu, Longin Jan Latecki

Due to the powerful ability to encode image details and semantics, many lightweight dual-resolution networks have been proposed in recent years.

Segmentation Semantic Segmentation

DPNET: Dual-Path Network for Efficient Object Detectioj with Lightweight Self-Attention

no code implementations31 Oct 2021 Huimin Shi, Quan Zhou, Yinghao Ni, Xiaofu Wu, Longin Jan Latecki

Object detection often costs a considerable amount of computation to get satisfied performance, which is unfriendly to be deployed in edge devices.

object-detection Object Detection

Pushing the Envelope of Rotation Averaging for Visual SLAM

no code implementations2 Nov 2020 Xinyi Li, Lin Yuan, Longin Jan Latecki, Haibin Ling

As an essential part of structure from motion (SfM) and Simultaneous Localization and Mapping (SLAM) systems, motion averaging has been extensively studied in the past years and continues to attract surging research attention.

Robot Navigation Simultaneous Localization and Mapping

BiCANet: Bi-directional Contextual Aggregating Network for Image Semantic Segmentation

1 code implementation21 Mar 2020 Quan Zhou, Dechun Cong, Bin Kang, Xiaofu Wu, Baoyu Zheng, Huimin Lu, Longin Jan Latecki

Exploring contextual information in convolution neural networks (CNNs) has gained substantial attention in recent years for semantic segmentation.

Segmentation Semantic Segmentation

Dually Supervised Feature Pyramid for Object Detection and Segmentation

1 code implementation8 Dec 2019 Fan Yang, Cheng Lu, Yandong Guo, Longin Jan Latecki, Haibin Ling

Feature pyramid architecture has been broadly adopted in object detection and segmentation to deal with multi-scale problem.

object-detection Object Detection +1

Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection

no code implementations9 Nov 2018 Heng Fan, Peng Chu, Longin Jan Latecki, Haibin Ling

Recurrent neural networks (RNNs) have shown the ability to improve scene parsing through capturing long-range dependencies among image units.

Scene Labeling

Advancing Tabu and Restart in Local Search for Maximum Weight Cliques

no code implementations22 Apr 2018 Yi Fan, Nan Li, Chengqian Li, Zongjie Ma, Longin Jan Latecki, Kaile Su

Our new restart strategy is based on the re-occurrence of a local search scenario instead of that of a candidate solution.

Ensemble Diffusion for Retrieval

no code implementations ICCV 2017 Song Bai, Zhichao Zhou, Jingdong Wang, Xiang Bai, Longin Jan Latecki, Qi Tian

This stimulates a great research interest of considering similarity fusion in the framework of diffusion process (i. e., fusion with diffusion) for robust retrieval.

3D Shape Classification 3D Shape Retrieval +2

Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes From 2D Ones in RGB-Depth Images

1 code implementation CVPR 2017 Zhuo Deng, Longin Jan Latecki

We revisit the amodal 3D detection problem by sticking to the 2. 5D representation framework, and directly relate 2. 5D visual appearance to 3D objects.

3D Object Detection object-detection

Multidimensional Scaling on Multiple Input Distance Matrices

no code implementations1 May 2016 Song Bai, Xiang Bai, Longin Jan Latecki, Qi Tian

How to do multidimensional scaling on multiple input distance matrices is still unsolved to our best knowledge.

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