Prakhar Kaushik

24 papers A* 3A 1Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Shared LoRA Subspaces for almost Strict Continual Learning.
CoRR
Prakhar Kaushik, Ankit Vaidya, Shravan Chaudhari, Rama Chellappa, Alan L. Yuille
2025 — conf
EigenLoRAx: Recycling Adapters to Find Principal Subspaces for Resource-Efficient Adaptation and Inference.
CVPR Workshops
Prakhar Kaushik, Ankit Vaidya, Shravan Chaudhari, Alan L. Yuille
2025 J jnl
EigenLoRAx: Recycling Adapters to Find Principal Subspaces for Resource-Efficient Adaptation and Inference.
CoRR
Prakhar Kaushik, Ankit Vaidya, Shravan Chaudhari, Alan L. Yuille
2025 J jnl
Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion Priors.
Trans. Mach. Learn. Res.
Soumava Paul, Prakhar Kaushik, Alan L. Yuille
2025 J jnl
Name That Part: 3D Part Segmentation and Naming.
CoRR
Soumava Paul, Prakhar Kaushik, Ankit Vaidya, Anand Bhattad, Alan L. Yuille
2025 J jnl
Perceptual Taxonomy: Evaluating and Guiding Hierarchical Scene Reasoning in Vision-Language Models.
CoRR
Jonathan Lee, Xingrui Wang, Jiawei Peng, Luoxin Ye, Zehan Zheng, Tiezheng Zhang, Tao Wang, Wufei Ma, Siyi Chen, Yu-Cheng Chou, Prakhar Kaushik, Alan L. Yuille
2025 J jnl
Progressive Prompt Detailing for Improved Alignment in Text-to-Image Generative Models.
CoRR
Ketan Suhaas Saichandran, Xavier Thomas, Prakhar Kaushik, Deepti Ghadiyaram
2025 J jnl
The Universal Weight Subspace Hypothesis.
CoRR
Prakhar Kaushik, Shravan Chaudhari, Ankit Vaidya, Rama Chellappa, Alan L. Yuille
2025 J jnl
TriDiff-4D: Fast 4D Generation through Diffusion-based Triplane Re-posing.
CoRR
Eddie Pokming Sheung, Qihao Liu, Wufei Ma, Prakhar Kaushik, Jianwen Xie, Alan L. Yuille
2024 A* conf
A Bayesian Approach to OOD Robustness in Image Classification.
CVPR
Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille
2024 J jnl
A Bayesian Approach to OOD Robustness in Image Classification.
CoRR
Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille
2024 J jnl
Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion Priors.
CoRR
Soumava Paul, Prakhar Kaushik, Alan L. Yuille
2024 — conf
Learning Part Segmentation from Synthetic Animals.
WACV (Workshops)
Jiawei Peng, Ju He, Prakhar Kaushik, Zihao Xiao, Jiteng Mu, Alan L. Yuille
2024 A* conf
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation.
ICLR
Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille
2024 J jnl
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation.
CoRR
Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille
2024 — conf
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning.
ECCV (77)
Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg
2024 J jnl
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning.
CoRR
Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg
2023 A* conf
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape.
ICCV
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 L. Yuille, Adam Kortylewski
2023 J jnl
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape.
CoRR
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 L. Yuille, Adam Kortylewski
2023 J jnl
Learning Part Segmentation from Synthetic Animals.
CoRR
Jiawei Peng, Ju He, Prakhar Kaushik, Zihao Xiao, Jiteng Mu, Alan L. Yuille
2021 J jnl
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping.
CoRR
Prakhar Kaushik, Alex Gain, Adam Kortylewski, Alan L. Yuille
2020 A conf
Adaptive Neural Connections for Sparsity Learning.
WACV
Alex Gain, Prakhar Kaushik, Hava T. Siegelmann
2019 — conf
Radar as a Security Measure - Real Time Neural Model based Human Detection and Behaviour Classification.
GlobalSIP
Prakhar Kaushik
2017 — conf
An Offline Outdoor Navigation System with Full Privacy.
WINSYS
Prakhar Kaushik, Vishal Saraswat, Francesco Buccafurri