Kaushik, Prakhar

9 publications

CVPRW 2025 EigenLoRAx: Recycling Adapters to Find Principal Subspaces for Resource-Efficient Adaptation and Inference Prakhar Kaushik, Ankit Vaidya, Shravan Chaudhari, Alan L. Yuille

TMLR 2025 Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction Using Depth-Enhanced Diffusion Priors Soumava Paul, Prakhar Kaushik, Alan Yuille

ICCV 2025 Scaling 3D Compositional Models for Robust Classification and Pose Estimation Xiaoding Yuan, Guofeng Zhang, Prakhar Kaushik, Artur Jesslen, Adam Kortylewski, Alan Yuille

CVPR 2024 A Bayesian Approach to OOD Robustness in Image Classification Prakhar Kaushik, Adam Kortylewski, Alan Yuille

ICLR 2024 Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan Yuille

ECCV 2024 iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan Yuille, Adam Kortylewski, Eddy Ilg

ICCV 2023 Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan Yuille, Adam Kortylewski

NeurIPSW 2021 Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping Prakhar Kaushik, Adam Kortylewski, Alex Gain, Alan Yuille

WACV 2020 Adaptive Neural Connections for Sparsity Learning Alex Gain, Prakhar Kaushik, Hava Siegelmann