Weiqiang Ren

According to our database1, Weiqiang Ren authored at least 13 papers between 2011 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Focal and efficient IOU loss for accurate bounding box regression.
Neurocomputing, 2022

2019
High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
LaneNet: Real-Time Lane Detection Networks for Autonomous Driving.
CoRR, 2018

2016
Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015
Large-Scale Weakly Supervised Object Localization via Latent Category Learning.
IEEE Trans. Image Process., 2015

Large scale crowd analysis based on convolutional neural network.
Pattern Recognit., 2015

2014
Learning Convolutional Nonlinear Features for K Nearest Neighbor Image Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Window mining by clustering mid-level representation for weakly supervised object detection.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Weakly Supervised Object Localization with Latent Category Learning.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Exploring the Power of Kernel in Feature Representation for Object Categorization.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
CLUMOC: Multiple Motion Estimation by Cluster Motion Consensus.
Proceedings of the Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2012

Local Hypersphere Coding Based on Edges between Visual Words.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Online codebook reweighting using pairwise constraints for image classification.
Proceedings of the First Asian Conference on Pattern Recognition, 2011


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