Puneet Mangla

According to our database, Puneet Mangla authored at least 12 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

INDIGO: Intrinsic Multimodality for Domain Generalization.

Puneet Mangla, Shivam Chandhok, Milan Aggarwal, Vineeth N. Balasubramanian, Balaji Krishnamurthy

CoRR, 2022

Data InStance Prior (DISP) in Generative Adversarial Networks.

Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains.

Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

On the benefits of defining vicinal distributions in latent space.

Puneet Mangla, Vedant Singh, Shreyas Jayant Havaldar, Vineeth Balasubramanian

Pattern Recognit. Lett., 2021

Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains.

Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan

CoRR, 2021

2020

Data Instance Prior for Transfer Learning in GANs.

Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy

CoRR, 2020

VarMixup: Exploiting the Latent Space for Robust Training and Inference.

Puneet Mangla, Vedant Singh, Shreyas Jayant Havaldar, Vineeth N. Balasubramanian

CoRR, 2020

Charting the Right Manifold: Manifold Mixup for Few-shot Learning.

Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

On Saliency Maps and Adversarial Robustness.

Puneet Mangla, Vedant Singh, Vineeth N. Balasubramanian

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Attributional Robustness Training Using Input-Gradient Spatial Alignment.

Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

On the Benefits of Attributional Robustness.

Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy

CoRR, 2019

AdvGAN++: Harnessing Latent Layers for Adversary Generation.

Surgan Jandial, Puneet Mangla, Sakshi Varshney, Vineeth Balasubramanian

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019