Dingwen Zhang

According to our database1, Dingwen Zhang authored at least 34 papers between 2014 and 2019.

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Bibliography

2019
Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework.
International Journal of Computer Vision, 2019

2018
Unsupervised Salient Object Detection via Inferring From Imperfect Saliency Models.
IEEE Trans. Multimedia, 2018

A Review of Co-Saliency Detection Algorithms: Fundamentals, Applications, and Challenges.
ACM TIST, 2018

Segmentation in Weakly Labeled Videos via a Semantic Ranking and Optical Warping Network.
IEEE Trans. Image Processing, 2018

Robust Object Co-Segmentation Using Background Prior.
IEEE Trans. Image Processing, 2018

A Unified Metric Learning-Based Framework for Co-Saliency Detection.
IEEE Trans. Circuits Syst. Video Techn., 2018

Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey.
IEEE Signal Process. Mag., 2018

PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Reinforcement Cutting-Agent Learning for Video Object Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Revealing Event Saliency in Unconstrained Video Collection.
IEEE Trans. Image Processing, 2017

Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering.
IEEE Trans. Image Processing, 2017

Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

How Unlabeled Web Videos Help Complex Event Detection?
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Self-paced Mixture of Regressions.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Supervision by Fusion: Towards Unsupervised Learning of Deep Salient Object Detector.
Proceedings of the IEEE International Conference on Computer Vision, 2017

SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Learning Category-Specific 3D Shape Models from Weakly Labeled 2D Images.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining.
IEEE Trans. Neural Netw. Learning Syst., 2016

Two-Stage Learning to Predict Human Eye Fixations via SDAEs.
IEEE Trans. Cybernetics, 2016

Detection of Co-salient Objects by Looking Deep and Wide.
International Journal of Computer Vision, 2016

Designing a Map Legend Ontology For Searching Map Content.
Proceedings of the Advances in Ontology Design and Patterns [revised and extended versions of the papers presented at the 7th edition of the Workshop on Ontology and Semantic Web Patterns, 2016

Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-Paced Curriculum Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Towards Intelligent Visual Understanding under Minimal Supervision.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Object Co-segmentation via Graph Optimized-Flexible Manifold Ranking.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning.
IEEE Trans. Geoscience and Remote Sensing, 2015

Background Prior-Based Salient Object Detection via Deep Reconstruction Residual.
IEEE Trans. Circuits Syst. Video Techn., 2015

Weakly Supervised Learning for Target Detection in Remote Sensing Images.
IEEE Geosci. Remote Sensing Lett., 2015

A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Co-saliency detection via looking deep and wide.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Predicting eye fixations using convolutional neural networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Negative Bootstrapping for Weakly Supervised Target Detection in Remote Sensing Images.
Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, 2015

2014
Saliency detection based on feature learning using Deep Boltzmann Machines.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Visual attention computation in video of driving environment.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014


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