2 citations · 2 across the 7 of their papers we have counts for
7 papers
LA-Pose: Latent Action Pretraining Meets Pose Estimation
Zhengqing Wang, Saurabh Nair, Prajwal Chidananda +4
This paper revisits camera pose estimation through the lens of self-supervised pretraining, focusing on inverse-dynamics pretraining as a scalable alternative to the current trend…
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction
Samuel Li, Pujith Kachana, Prajwal Chidananda +3
Estimating agent pose and 3D scene structure from multi-camera rigs is a central task in embodied AI applications such as autonomous driving. Recent learned approaches such as DUSt…
SORT3D: Spatial Object-centric Reasoning Toolbox for Zero-Shot 3D Grounding Using Large Language Models
Nader Zantout, Haochen Zhang, Pujith Kachana +4
Interpreting object-referential language and grounding objects in 3D with spatial relations and attributes is essential for robots operating alongside humans. However, this task is…
IRef-VLA: A Benchmark for Interactive Referential Grounding with Imperfect Language in 3D Scenes
Haochen Zhang, Nader Zantout, Pujith Kachana +2
With the recent rise of large language models, vision-language models, and other general foundation models, there is growing potential for multimodal, multi-task robotics that can…
VLA-3D: A Dataset for 3D Semantic Scene Understanding and Navigation
Haochen Zhang, Nader Zantout, Pujith Kachana +3
With the recent rise of Large Language Models (LLMs), Vision-Language Models (VLMs), and other general foundation models, there is growing potential for multimodal, multi-task embo…
Snail: Secure Single Iteration Localization
James Choncholas, Pujith Kachana, André Mateus +2
Localization is a computer vision task by which the position and orientation of a camera is determined from an image and environmental map. We propose a method for performing local…
Neural Field Dynamics Model for Granular Object Piles Manipulation
Shangjie Xue, Shuo Cheng, Pujith Kachana +1
We present a learning-based dynamics model for granular material manipulation. Inspired by the Eulerian approach commonly used in fluid dynamics, our method adopts a fully convolut…