Vaibhav ARORA — accepted AI-conference papers

2024

HIT: Estimating Internal Human Implicit Tissues from the Body Surface

Marilyn Keller, Vaibhav Arora, Abdelmouttaleb Dakri, Shivam Chandhok, Jürgen Machann, Andreas Fritsche +2

CVPR 2024poster

The creation of personalized anatomical digital twins is important in the fields of medicine computer graphics sports science and biomechanics. To observe a subject's anatomy expensive medical devices (MRI or CT) are required and the creation of the digital model is often time-consuming and involves…

Cited by 3 Source ↗PDF ↗Scholar ↗

2023

CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow

Philippe Weinzaepfel, Thomas Lucas, Vincent Leroy, Yohann Cabon, Vaibhav Arora, Romain Brégier +4

ICCV 2023poster

Despite impressive performance for high-level downstream tasks, self-supervised pre-training methods have not yet fully delivered on dense geometric vision tasks such as stereo matching or optical flow. The application of self-supervised concepts, such as instance discrimination or masked image mode…

Cited by 100 PDF ↗code ↗Scholar ↗

2022

CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion

Philippe Weinzaepfel, Vincent Leroy, Thomas Lucas, Romain Brégier, Yohann Cabon, Vaibhav ARORA +4

NeurIPS 2022accept

Masked Image Modeling (MIM) has recently been established as a potent pre-training paradigm. A pretext task is constructed by masking patches in an input image, and this masked content is then predicted by a neural network using visible patches as sole input. This pre-training leads to state-of-the-…

Cited by 77 Source ↗PDF ↗code ↗Scholar ↗