World's Best Scientists 2026 revealed!

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Computer Science

D-Index
54
Citations
12892
World Ranking
4529
National Ranking
2122

Research.com Recognitions

  • 2019 - ACM Fellow For contributions to rendering and scene understanding

Overview

Kavita Bala is affiliated with Cornell University in the United States and has made contributions primarily in the field of Computer Science, focusing on Computer Vision and Pattern Recognition. Their work spans several subfields including Cognitive Neuroscience, Artificial Intelligence, Computer Graphics and Computer-Aided Design, and Computational Mechanics.

The scientist's research explores topics such as Computer Graphics and Visualization Techniques, Advanced Vision and Imaging, Visual Attention and Saliency Detection, Aesthetic Perception and Analysis, Advanced Image and Video Retrieval Techniques, Multimodal Machine Learning Applications, and 3D Shape Modeling and Analysis.

Frequent coauthors collaborating with Kavita Bala include:

  • Hubert Lin
  • Utkarsh Mall
  • Bharath Hariharan
  • Mitchell van Zuijlen
  • Sylvia C. Pont

Publication venues commonly associated with their work include:

  • arXiv (Cornell University)
  • Journal of Vision
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Computer Graphics Forum

Notable recent publications by Kavita Bala include:

  • Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering (2021, Computer Graphics Forum)
  • Effect of geometric sharpness on translucent material perception (2020, Journal of Vision)
  • Langevin monte carlo rendering with gradient-based adaptation (2020, ACM Transactions on Graphics)
  • Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision (2020, arXiv (Cornell University))
  • Machine Learning (ML) for Tracking Fashion Trends: Documenting the Frequency of the Baseball Cap on Social Media and the Runway (2020, Clothing and Textiles Research Journal)

In 2019, Kavita Bala was recognized as an ACM Fellow with a citation for contributions to rendering and scene understanding.

Best Publications

  • Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks

    Sean Bell;C. Lawrence Zitnick;Kavita Bala;Ross Girshick

  • Deep Photo Style Transfer

    Fujun Luan;Sylvain Paris;Eli Shechtman;Kavita Bala

  • Advanced Global Illumination

    Philip Dutre;Kavita Bala;Philippe Bekaert;Peter Shirley

  • Material recognition in the wild with the Materials in Context Database

    Sean Bell;Paul Upchurch;Noah Snavely;Kavita Bala

  • Optimistic parallelism requires abstractions

    Milind Kulkarni;Keshav Pingali;Bruce Walter;Ganesh Ramanarayanan

  • Matching Real Fabrics with Micro-Appearance Models

    Pramook Khungurn;Daniel Schroeder;Shuang Zhao;Kavita Bala

  • Learning visual similarity for product design with convolutional neural networks

    Sean Bell;Kavita Bala

  • Intrinsic images in the wild

    Sean Bell;Kavita Bala;Noah Snavely

  • Lightcuts: a scalable approach to illumination

    Bruce Walter;Sebastian Fernandez;Adam Arbree;Kavita Bala

  • Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences

    Andreas Veit;Balazs Kovacs;Sean Bell;Julian McAuley

  • Deep Feature Interpolation for Image Content Changes

    Paul Upchurch;Jacob Gardner;Geoff Pleiss;Robert Pless

  • Adaptive shadow maps

    Randima Fernando;Sebastian Fernandez;Kavita Bala;Donald P. Greenberg

  • OpenSurfaces: a richly annotated catalog of surface appearance

    Sean Bell;Paul Upchurch;Noah Snavely;Kavita Bala

  • Congestion control for high speed packet switched networks

    K. Bala;I. Cidon;K. Sohraby

  • Multidimensional lightcuts

    Bruce Walter;Adam Arbree;Kavita Bala;Donald P. Greenberg

  • PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting

    Kai Zhang;Fujun Luan;Qianqian Wang;Kavita Bala

  • Visual equivalence: towards a new standard for image fidelity

    Ganesh Ramanarayanan;James Ferwerda;Bruce Walter;Kavita Bala

  • Matrix row-column sampling for the many-light problem

    Miloš Hašan;Fabio Pellacini;Kavita Bala

  • Inverse volume rendering with material dictionaries

    Ioannis Gkioulekas;Shuang Zhao;Kavita Bala;Todd Zickler

  • A radiative transfer framework for rendering materials with anisotropic structure

    Wenzel Jakob;Adam Arbree;Jonathan T. Moon;Kavita Bala

  • PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering

    Jang Hyun Cho;Utkarsh Mall;Kavita Bala;Bharath Hariharan

  • A radiative transfer framework for rendering materials with anisotropic structure: Expanded Technical Report

    Wenzel Jakob;Adam Arbree;Jonathan T. Moon;Kavita Bala

Frequent Co-Authors

Bruce Walter
Bruce Walter Cornell University
Noah Snavely
Noah Snavely Cornell University
Philip Dutré
Philip Dutré KU Leuven
Sylvain Paris
Sylvain Paris Adobe Systems (United States)
Donald P. Greenberg
Donald P. Greenberg Cornell University
Steve Marschner
Steve Marschner Cornell University
Todd Zickler
Todd Zickler Harvard University
Keshav Pingali
Keshav Pingali The University of Texas at Austin
Eli Shechtman
Eli Shechtman Adobe Systems (United States)

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