| Understanding catastrophic forgetting and remembering in continual learning with optimal relevance mapping P Kaushik, A Gain, A Kortylewski, A Yuille 2021 Conference on Neural Information Processing Systems (NeurIPS) Fifth …, 2021 | 75 | 2021 |
| Animal3d: A comprehensive dataset of 3d animal pose and shape J Xu, Y Zhang, J Peng, W Ma, A Jesslen, P Ji, Q Hu, J Zhang, Q Liu, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 21 | 2023 |
| Timing attack analysis on AES on modern processors P Kaushik, R Majumdar 2017 6th International Conference on Reliability, Infocom Technologies and …, 2017 | 12 | 2017 |
| Radar as a security measure-real time neural model based human detection and behaviour classification P Kaushik 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 7 | 2019 |
| iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning T Fischer, Y Liu, A Jesslen, N Ahmed, P Kaushik, A Wang, AL Yuille, ... European Conference on Computer Vision, 357-374, 2024 | 2 | 2024 |
| Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation P Kaushik, A Mishra, A Kortylewski, A Yuille International Conference on Learning Representations (ICLR) 2024, 2024 | 2 | 2024 |
| Learning part segmentation from synthetic animals J Peng, J He, P Kaushik, Z Xiao, J Mu, A Yuille Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Adaptive neural connections for sparsity learning P Kaushik, A Gain, H Siegelmann Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 1* | 2020 |
| EigenLoRAx: Recycling Adapters to Find Principal Subspaces for Resource-Efficient Adaptation and Inference P Kaushik, A Vaidya, S Chaudhari, A Yuille arXiv preprint arXiv:2502.04700, 2025 | | 2025 |
| Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion Priors S Paul, P Kaushik, A Yuille arXiv preprint arXiv:2411.15966, 2024 | | 2024 |
| A Bayesian Approach to OOD Robustness in Image Classification P Kaushik, A Kortylewski, A Yuille The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2024 | | 2024 |
| An Offline Outdoor Navigation System with Full Privacy. P Kaushik, V Saraswat, F Buccafurri WINSYS, 95-101, 2017 | | 2017 |
| DSPart: A Large-scale Diffusion-generated Synthetic Dataset with Annotations from 3D Parts J Peng, Y Sun, J He, J Chen, P Kaushik, W Ma, Y Zhang, J Wang, A Wang, ... | | |
| CIDA3D: Conformal Inference aided unsupervised Domain Adaptation for 3D-Aware Classification P Kaushik, A Mishra, A Liu, A Kortylewski, A Yuille | | |
| Scaling 3D Compositional Models for Robust Classification and Pose Estimation X Yuan, P Kaushik, G Zhang, A Jesslen, A Kortylewski, A Yuille | | |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins Universityכתובת אימייל מאומתת בדומיין jhu.edu