publications

2025

1. 

   EigenLoRAx: Recycling Adapters to Find Principal Subspaces for Resource-Efficient Adaptation and Inference

   Prakhar Kaushik, Ankit Vaidya, Shravan Chaudhari, and 1 more author

   2025

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2. 

   EigenFlux: Parameter Efficient Continual Finetuning via Low-Rank Shared Subspace Adaptation

   Prakhar Kaushik, Ankit Vaidya, and Alan Yuille

   Strict Continual Learning for large Vision and Language Models. Code and Draft coming soon. , 2025

2024

1. 

   Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion Priors

   Soumava Paul, Prakhar Kaushik, and Alan Yuille

   2024

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2. iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning

   Tom Fischer, Yaoyao Liu, Artur Jesslen, and 6 more authors

   In European Conference on Computer Vision , 2024

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3. Learning Part Segmentation from Synthetic Animals

   Jiawei Peng, Ju He, Prakhar Kaushik, and 3 more authors

   In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , 2024
4. 

   Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation

   Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, and 1 more author

   In International Conference on Learning Representations (ICLR) , 2024

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5. 

   A Bayesian Approach to OOD Robustness in Image Classification

   Prakhar Kaushik, Adam Kortylewski, and Alan Yuille

   In The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2024

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2023

1. Animal3d: A comprehensive dataset of 3d animal pose and shape

   Jiacong Xu, Yi Zhang, Jiawei Peng, and 8 more authors

   In Proceedings of the IEEE/CVF International Conference on Computer Vision , 2023

2021

1. Understanding catastrophic forgetting and remembering in continual learning with optimal relevance mapping

   Prakhar Kaushik, Alex Gain, Adam Kortylewski, and 1 more author

   In 2021 NeurIPS Fifth Workshop on Meta-Learning; arXiv preprint arXiv:2102.11343 , 2021

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2020

1. Adaptive neural connections for sparsity learning

   Alex Gain*, Prakhar Kaushik*, and Hava Siegelmann

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

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2019

1. Radar as a Security Measure-Real Time Neural Model based Human Detection and Behaviour Classification

   Prakhar Kaushik

   In 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) , 2019

2017

1. An Offline Outdoor Navigation System with Full Privacy.

   Prakhar Kaushik, Vishal Saraswat, and Francesco Buccafurri

   In WINSYS , 2017
2. Timing attack analysis on AES on modern processors

   Prakhar Kaushik, and Rana Majumdar

   In 2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) , 2017