Search Results for author: Longin Jan Latecki

Found 16 papers, 6 papers with code

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

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.

Semantic Segmentation

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.

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

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 +1

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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