65 citations · 148 across the 10 of their papers we have counts for
10 papers
RIC: Rotate-Inpaint-Complete for Generalizable Scene Reconstruction
Isaac Kasahara, Shubham Agrawal, Selim Engin +3
General scene reconstruction refers to the task of estimating the full 3D geometry and texture of a scene containing previously unseen objects. In many practical applications such…
mlpack 4: a fast, header-only C++ machine learning library
Ryan R. Curtin, Marcus Edel, Omar Shrit +16
For over 15 years, the mlpack machine learning library has served as a "swiss army knife" for C++-based machine learning. Its efficient implementations of common and cutting-edge m…
Simultaneous Object Reconstruction and Grasp Prediction using a Camera-centric Object Shell Representation
Nikhil Chavan-Dafle, Sergiy Popovych, Shubham Agrawal +2
Being able to grasp objects is a fundamental component of most robotic manipulation systems. In this paper, we present a new approach to simultaneously reconstruct a mesh and a den…
Fit2Form: 3D Generative Model for Robot Gripper Form Design
Huy Ha, Shubham Agrawal, Shuran Song
The 3D shape of a robot's end-effector plays a critical role in determining it's functionality and overall performance. Many industrial applications rely on task-specific gripper d…
AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy
Zhenjia Xu, Beichun Qi, Shubham Agrawal +1
This paper aims to improve robots' versatility and adaptability by allowing them to use a large variety of end-effector tools and quickly adapt to new tools. We propose AdaGrasp, a…
High Accuracy Face Geometry Capture using a Smartphone Video
Shubham Agrawal, Anuj Pahuja, Simon Lucey
What's the most accurate 3D model of your face you can obtain while sitting at your desk? We attempt to answer this question in our work. High fidelity face reconstructions have so…
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics
David Millard, Eric Heiden, Shubham Agrawal +1
A key ingredient to achieving intelligent behavior is physical understanding that equips robots with the ability to reason about the effects of their actions in a dynamic environme…
Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency
Tejas Khot, Shubham Agrawal, Shubham Tulsiani +3
We present a learning based approach for multi-view stereopsis (MVS). While current deep MVS methods achieve impressive results, they crucially rely on ground-truth 3D training dat…
Interactive Image Generation Using Scene Graphs
Gaurav Mittal, Shubham Agrawal, Anuva Agarwal +2
Recent years have witnessed some exciting developments in the domain of generating images from scene-based text descriptions. These approaches have primarily focused on generating…
High Fidelity Semantic Shape Completion for Point Clouds using Latent Optimization
Swaminathan Gurumurthy, Shubham Agrawal
Semantic shape completion is a challenging problem in 3D computer vision where the task is to generate a complete 3D shape using a partial 3D shape as input. We propose a learning-…