activity
20112022
most citedContextually Guided Semantic Labeling and Search for 3D Point Clouds

58 citations · 117 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.str-el2022★ 2 cited

Real-space entanglement spectra of projected fractional quantum Hall states using Monte Carlo methods

Abhishek Anand, G J Sreejith

Real-space entanglement spectrum (RSES) of a quantum Hall (QH) wavefunction gives a natural route to infer the nature of its edge excitations. Computation of RSES becomes expensive…

cond-mat.str-el2020★ 6 cited

An Exactly Solvable Model for Strongly Interacting Electrons in a Magnetic Field

Abhishek Anand, Jainendra K Jain, G J Sreejith

States of strongly interacting particles are of fundamental interest in physics, and can produce exotic emergent phenomena and topological structures. We consider here two-dimensio…

quant-ph2019★ 31 cited

Charged particle tracking with quantum annealing-inspired optimization

Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant +4

At the High Luminosity Large Hadron Collider (HL-LHC), traditional track reconstruction techniques that are critical for analysis are expected to face challenges due to scaling wit…

cs.LO2017★ 8 cited

Revisiting Parametricity: Inductives and Uniformity of Propositions

Abhishek Anand, Greg Morrisett

Reynold's parametricity theory captures the property that parametrically polymorphic functions behave uniformly: they produce related results on related instantiations. In dependen…

cs.CV2012★ 1 cited

3D Scene Grammar for Parsing RGB-D Pointclouds

Abhishek Anand, Sherwin Li

We pose 3D scene-understanding as a problem of parsing in a grammar. A grammar helps us capture the compositional structure of real-word objects, e.g., a chair is composed of a sea…

cs.RO2011★ 58 cited

Contextually Guided Semantic Labeling and Search for 3D Point Clouds

Abhishek Anand, Hema Swetha Koppula, Thorsten Joachims +1

RGB-D cameras, which give an RGB image to- gether with depths, are becoming increasingly popular for robotic perception. In this paper, we address the task of detecting commonly fo…