Vinay Kumar Verma

According to our database1, Vinay Kumar Verma authored at least 30 papers between 2013 and 2021.

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

Timeline

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Bibliography

2021
Class Incremental Online Streaming Learning.
CoRR, 2021

Hypernetworks for Continual Semi-Supervised Learning.
CoRR, 2021

Efficient Continual Adaptation for Generative Adversarial Networks.
CoRR, 2021

Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning.
CoRR, 2021

Towards Zero-Shot Learning with Fewer Seen Class Examples.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Knowledge Consolidation based Class Incremental Online Learning with Limited Data.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Efficient Feature Transformations for Discriminative and Generative Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning.
IEEE J. Sel. Top. Signal Process., 2020

HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs.
Int. J. Comput. Vis., 2020

A "Network Pruning Network" Approach to Deep Model Compression.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Leveraging Filter Correlations for Deep Model Compression.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Calibrating CNNs for Lifelong Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Meta-Learning for Generalized Zero-Shot Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Meta-Learning Framework for Generalized Zero-Shot Learning.
CoRR, 2019

Play and Prune: Adaptive Filter Pruning for Deep Model Compression.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Generative Model for Zero-Shot Sketch-Based Image Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
A Generative Approach to Zero-Shot and Few-Shot Action Recognition.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Generalized Zero-Shot Learning via Synthesized Examples.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Zero-Shot Learning via Class-Conditioned Deep Generative Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Probabilistic Framework for Multi-Label Learning with Unseen Labels.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

A Simple Exponential Family Framework for Zero-Shot Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2014
A Performance Evaluation of Feature Descriptors for Image Stitching in Architectural Images.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013
Hand Gesture Segmentation from Complex Color-Texture Background Image.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2013


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