activity
20162026
most citedKaolin: A PyTorch Library for Accelerating 3D Deep Learning Research

68 citations · 201 across the 32 of their papers we have counts for

collaborators
Showing 2023Show all

14 papers · 1 filter

cs.CV2023★ 6 cited

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM

Nikhil Keetha, Jay Karhade, Krishna Murthy Jatavallabhula +4

Dense simultaneous localization and mapping (SLAM) is crucial for robotics and augmented reality applications. However, current methods are often hampered by the non-volumetric or…

cs.LG2023

Differentiable Visual Computing for Inverse Problems and Machine Learning

Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas +4

Originally designed for applications in computer graphics, visual computing (VC) methods synthesize information about physical and virtual worlds, using prescribed algorithms optim…

cs.CV2023★ 2 cited

Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving

Tushar Choudhary, Vikrant Dewangan, Shivam Chandhok +6

Talk2BEV is a large vision-language model (LVLM) interface for bird's-eye view (BEV) maps in autonomous driving contexts. While existing perception systems for autonomous driving s…

cs.RO2023★ 4 cited

ALT-Pilot: Autonomous navigation with Language augmented Topometric maps

Mohammad Omama, Pranav Inani, Pranjal Paul +4

We present an autonomous navigation system that operates without assuming HD LiDAR maps of the environment. Our system, ALT-Pilot, relies only on publicly available road network in…

cs.RO2023

STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent

Yewon Lee, Andrew Z. Li, Philip Huang +7

Planning for sequential robotics tasks often requires integrated symbolic and geometric reasoning. TAMP algorithms typically solve these problems by performing a tree search over h…

cs.RO2023★ 12 cited

ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning

Qiao Gu, Alihusein Kuwajerwala, Sacha Morin +13

For robots to perform a wide variety of tasks, they require a 3D representation of the world that is semantically rich, yet compact and efficient for task-driven perception and pla…

cs.RO2023

Tactile Estimation of Extrinsic Contact Patch for Stable Placement

Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula +2

Precise perception of contact interactions is essential for fine-grained manipulation skills for robots. In this paper, we present the design of feedback skills for robots that mus…

cs.RO2023★ 3 cited

Follow Anything: Open-set detection, tracking, and following in real-time

Alaa Maalouf, Ninad Jadhav, Krishna Murthy Jatavallabhula +5

Tracking and following objects of interest is critical to several robotics use cases, ranging from industrial automation to logistics and warehousing, to healthcare and security. I…

cs.CV2023★ 10 cited

AnyLoc: Towards Universal Visual Place Recognition

Nikhil Keetha, Avneesh Mishra, Jay Karhade +4

Visual Place Recognition (VPR) is vital for robot localization. To date, the most performant VPR approaches are environment- and task-specific: while they exhibit strong performanc…

cs.RO2023★ 5 cited

Instance-Level Semantic Maps for Vision Language Navigation

Laksh Nanwani, Anmol Agarwal, Kanishk Jain +7

Humans have a natural ability to perform semantic associations with the surrounding objects in the environment. This allows them to create a mental map of the environment, allowing…

cs.RO2023

CLIPGraphs: Multimodal Graph Networks to Infer Object-Room Affinities

Ayush Agrawal, Raghav Arora, Ahana Datta +5

This paper introduces a novel method for determining the best room to place an object in, for embodied scene rearrangement. While state-of-the-art approaches rely on large language…

cs.CV2023

Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares

Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula +1

We propose a differentiable nonlinear least squares framework to account for uncertainty in relative pose estimation from feature correspondences. Specifically, we introduce a symm…

cs.CV2023★ 7 cited

PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification

Xuan Li, Yi-Ling Qiao, Peter Yichen Chen +4

Existing approaches to system identification (estimating the physical parameters of an object) from videos assume known object geometries. This precludes their applicability in a v…

cs.CV2023★ 4 cited

ConceptFusion: Open-set Multimodal 3D Mapping

Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu +14

Building 3D maps of the environment is central to robot navigation, planning, and interaction with objects in a scene. Most existing approaches that integrate semantic concepts wit…