Dipan K. Pal

According to our database1, Dipan K. Pal authored at least 24 papers between 2014 and 2020.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Towards a Hypothesis on Visual Transformation based Self-Supervision.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Learning Non-Parametric Invariances from Data with Permanent Random Connectomes.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes.
CoRR, 2019

Is Pose Really Solved? A Frontalization Study On Off-Angle Face Matching.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Proximal Splitting Networks for Image Restoration.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Non-Parametric Transformation Networks for Learning General Invariances from Data.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Non-Parametric Transformation Networks.
CoRR, 2018

Ring Loss: Convex Feature Normalization for Face Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Class Correlation affects Single Object Localization using Pre-trained ConvNets.
CoRR, 2017

Max-Margin Invariant Features from Transformed Unlabeled Data.
CoRR, 2017

How ConvNets model Non-linear Transformations.
CoRR, 2017

Emergence of Selective Invariance in Hierarchical Feed Forward Networks.
CoRR, 2017

Deep Contextual Recurrent Residual Networks for Scene Labeling.
CoRR, 2017

Max-Margin Invariant Features from Transformed Unlabelled Data.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Stochastic CoSaMP: Randomizing Greedy Pursuit for Sparse Signal Recovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Unitary-Group Invariant Kernels and Features from Transformed Unlabeled Data.
CoRR, 2015

Investigating the feasibility of image-based nose biometrics.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

A preliminary investigation on the sensitivity of COTS face recognition systems to forensic analyst-style face processing for occlusions.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

NIR-VIS heterogeneous face recognition via cross-spectral joint dictionary learning and reconstruction.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014
Feedback control for multi-modal optimization using genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Hallucinating the Full Face from the Periocular Region via Dimensionally Weighted K-SVD.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014


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