Convolutional Prompting meets Language Models for Continual Learning - Anurag Roy; Riddhiman Moulick; Vinay Kumar Verma; Saptarshi Ghosh; Abir Das (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference - Soumya Banerjee; Vinay Kumar Verma; Avideep Mukherjee; Deepak Gupta; Vinay P. Namboodiri; Piyush Rai (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning - Soumya Roy; Vinay Kumar Verma; Deepak Gupta (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning - Vinay Kumar Verma; Nikhil Mehta; Kevin J. Liang; Aakansha Mishra; Lawrence Carin (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

CoD: Coherent Detection of Entities from Images with Multiple Modalities - Vinay Kumar Verma; Dween Rabius Sanny; Abhishek Singh; Deepak Gupta (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

Convolutional Prompting meets Language Models for Continual Learning - Anurag Roy; Riddhiman Moulick; Vinay Kumar Verma; Saptarshi Ghosh; Abir Das (CoRR, 2024)

Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs - Soham Mitra; Atri Sukul; Swalpa Kumar Roy; Pravendra Singh; Vinay Kumar Verma (CoRR, 2024)

SkiLL: Skipping Color and Label Landscape: Self Supervised Design Representations for Products in E-commerce - Vinay Kumar Verma; Dween Rabius Sanny; Shreyas Sunil Kulkarni; Prateek Sircar; Abhishek Singh; Deepak Gupta (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Exemplar-Free Continual Transformer with Convolutions - Anurag Roy; Vinay Kumar Verma; Sravan Voonna; Kripabandhu Ghosh; Saptarshi Ghosh; Abir Das (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

Streaming LifeLong Learning With Any-Time Inference - Soumya Banerjee; Vinay Kumar Verma; Vinay P. Namboodiri (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

Pushing the Efficiency Limit Using Structured Sparse Convolutions - Vinay Kumar Verma; Nikhil Mehta; Shijing Si; Ricardo Henao; Lawrence Carin (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, Waikoloa, HI, USA, January 2-7, 2023, 2023)

Streaming LifeLong Learning With Any-Time Inference - Soumya Banerjee; Vinay Kumar Verma; Vinay P. Namboodiri (CoRR, 2023)

Exemplar-Free Continual Transformer with Convolutions - Anurag Roy; Vinay Kumar Verma; Sravan Voonna; Kripabandhu Ghosh; Saptarshi Ghosh; Abir Das (CoRR, 2023)

VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference - Soumya Banerjee; Vinay Kumar Verma; Avideep Mukherjee; Deepak Gupta; Vinay P. Namboodiri; Piyush Rai (CoRR, 2023)

Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning - Vinay Kumar Verma; Nikhil Mehta; Kevin J. Liang; Aakansha Mishra; Lawrence Carin (CoRR, 2023)

Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning - Soumya Roy; Vinay Kumar Verma; Deepak Gupta (CoRR, 2023)

Pushing the Efficiency Limit Using Structured Sparse Convolutions - Vinay Kumar Verma; Nikhil Mehta; Shijing Si; Ricardo Henao; Lawrence Carin (CoRR, 2022)

Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors - Nikhil Mehta; Kevin J. Liang; Vinay Kumar Verma; Lawrence Carin (The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event, 2021)

Efficient Feature Transformations for Discriminative and Generative Continual Learning - Vinay Kumar Verma; Kevin J. Liang; Nikhil Mehta; Piyush Rai; Lawrence Carin (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

Knowledge Consolidation based Class Incremental Online Learning with Limited Data - Mohammed Asad Karim; Vinay Kumar Verma; Pravendra Singh; Vinay P. Namboodiri; Piyush Rai (Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021, 2021)

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks - Sakshi Varshney; Vinay Kumar Verma; P. K. Srijith; Lawrence Carin; Piyush Rai (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

Towards Zero-Shot Learning with Fewer Seen Class Examples - Vinay Kumar Verma; Ashish Mishra; Anubha Pandey; Hema A. Murthy; Piyush Rai (IEEE Winter Conference on Applications of Computer Vision, WACV 2021, Waikoloa, HI, USA, January 3-8, 2021, 2021)

Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning - Vinay Kumar Verma; Kevin J. Liang; Nikhil Mehta; Lawrence Carin (CoRR, 2021)

Efficient Continual Adaptation for Generative Adversarial Networks - Sakshi Varshney; Vinay Kumar Verma; Lawrence Carin; Piyush Rai (CoRR, 2021)

Efficient Feature Transformations for Discriminative and Generative Continual Learning - Vinay Kumar Verma; Kevin J. Liang; Nikhil Mehta; Piyush Rai; Lawrence Carin (CoRR, 2021)

Knowledge Consolidation based Class Incremental Online Learning with Limited Data - Mohammed Asad Karim; Vinay Kumar Verma; Pravendra Singh; Vinay P. Namboodiri; Piyush Rai (CoRR, 2021)

Hypernetworks for Continual Semi-Supervised Learning - Dhanajit Brahma; Vinay Kumar Verma; Piyush Rai (CoRR, 2021)

Class Incremental Online Streaming Learning - Soumya Banerjee; Vinay Kumar Verma; Toufiq Parag; Maneesh Singh; Vinay P. Namboodiri (CoRR, 2021)

HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (Int. J. Comput. Vis., 2020)

Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (IEEE J. Sel. Top. Signal Process., 2020)

Meta-Learning for Generalized Zero-Shot Learning - Vinay Kumar Verma; Dhanajit Brahma; Piyush Rai (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions - Anurag Roy; Vinay Kumar Verma; Kripabandhu Ghosh; Saptarshi Ghosh (CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, 2020)

Calibrating CNNs for Lifelong Learning - Pravendra Singh; Vinay Kumar Verma; Pratik Mazumder; Lawrence Carin; Piyush Rai (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Leveraging Filter Correlations for Deep Model Compression - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, CO, USA, March 1-5, 2020, 2020)

Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval - Anubha Pandey; Ashish Mishra; Vinay Kumar Verma; Anurag Mittal; Hema A. Murthy (IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, CO, USA, March 1-5, 2020, 2020)

A "Network Pruning Network" Approach to Deep Model Compression - Vinay Kumar Verma; Pravendra Singh; Vinay P. Namboodiri; Piyush Rai (IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, CO, USA, March 1-5, 2020, 2020)

A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation - Varun Khare; Divyat Mahajan; Homanga Bharadhwaj; Vinay Kumar Verma; Piyush Rai (IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, CO, USA, March 1-5, 2020, 2020)

A "Network Pruning Network" Approach to Deep Model Compression - Vinay Kumar Verma; Pravendra Singh; Vinay P. Namboodiri; Piyush Rai (CoRR, 2020)

Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval - Anubha Pandey; Ashish Mishra; Vinay Kumar Verma; Anurag Mittal; Hema A. Murthy (CoRR, 2020)

ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions - Anurag Roy; Vinay Kumar Verma; Kripabandhu Ghosh; Saptarshi Ghosh (CoRR, 2020)

Towards Zero-Shot Learning with Fewer Seen Class Examples - Vinay Kumar Verma; Ashish Mishra; Anubha Pandey; Hema A. Murthy; Piyush Rai (CoRR, 2020)

Generative Model for Zero-Shot Sketch-Based Image Retrieval - Vinay Kumar Verma; Aakansha Mishra; Ashish Mishra; Piyush Rai (IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval - Anubha Pandey; Ashish Mishra; Vinay Kumar Verma; Anurag Mittal (2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019, 2019)

Play and Prune: Adaptive Filter Pruning for Deep Model Compression - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, 2019)

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (CoRR, 2019)

Generative Model for Zero-Shot Sketch-Based Image Retrieval - Vinay Kumar Verma; Aakansha Mishra; Ashish Mishra; Piyush Rai (CoRR, 2019)

Play and Prune: Adaptive Filter Pruning for Deep Model Compression - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (CoRR, 2019)

A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation - Varun Khare; Divyat Mahajan; Homanga Bharadhwaj; Vinay Kumar Verma; Piyush Rai (CoRR, 2019)

A Meta-Learning Framework for Generalized Zero-Shot Learning - Vinay Kumar Verma; Dhanajit Brahma; Piyush Rai (CoRR, 2019)

Zero-Shot Learning via Class-Conditioned Deep Generative Models - Wenlin Wang; Yunchen Pu; Vinay Kumar Verma; Kai Fan; Yizhe Zhang; Changyou Chen; Piyush Rai; Lawrence Carin (Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

Generalized Zero-Shot Learning via Synthesized Examples - Vinay Kumar Verma; Gundeep Arora; Ashish Mishra; Piyush Rai (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

A Generative Approach to Zero-Shot and Few-Shot Action Recognition - Ashish Mishra; Vinay Kumar Verma; M. Shiva Krishna Reddy; Arulkumar Subramaniam; Piyush Rai; Anurag Mittal (2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018, Lake Tahoe, NV, USA, March 12-15, 2018, 2018)

A Generative Approach to Zero-Shot and Few-Shot Action Recognition - Ashish Mishra; Vinay Kumar Verma; M. Shiva Krishna Reddy; Arulkumar Subramaniam; Piyush Rai; Anurag Mittal (CoRR, 2018)

Leveraging Filter Correlations for Deep Model Compression - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (CoRR, 2018)

A Simple Exponential Family Framework for Zero-Shot Learning - Vinay Kumar Verma; Piyush Rai (Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II, 2017)

A Probabilistic Framework for Multi-Label Learning with Unseen Labels - Abhilash Gaure; Aishwarya Gupta; Vinay Kumar Verma; Piyush Rai (Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, UAI 2017, Sydney, Australia, August 11-15, 2017, 2017)

A Simple Exponential Family Framework for Zero-Shot Learning - Vinay Kumar Verma; Piyush Rai (CoRR, 2017)

Zero-Shot Learning via Class-Conditioned Deep Generative Models - Wenlin Wang; Yunchen Pu; Vinay Kumar Verma; Kai Fan; Yizhe Zhang; Changyou Chen; Piyush Rai; Lawrence Carin (CoRR, 2017)

Generalized Zero-Shot Learning via Synthesized Examples - Gundeep Arora; Vinay Kumar Verma; Ashish Mishra; Piyush Rai (CoRR, 2017)

A Performance Evaluation of Feature Descriptors for Image Stitching in Architectural Images - Prashanth Balasubramanian; Vinay Kumar Verma; Anurag Mittal (Computer Vision - ACCV 2014 Workshops - Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part II, 2014)

Hand Gesture Segmentation from Complex Color-Texture Background Image - Vinay Kumar Verma; Rajeev Wankar; C. Raghavendra Rao; Arun Agarwal (Multi-disciplinary Trends in Artificial Intelligence - 7th International Workshop, MIWAI 2013, Krabi, Thailand, December 9-11, 2013. Proceedings, 2013)