Nilesh Kulkarni

According to our database, Nilesh Kulkarni authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surface.

Linyi Jin, Nilesh Kulkarni, David Fouhey

CoRR, 2024

NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis.

Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas J. Guibas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces.

Linyi Jin, Nilesh Kulkarni, David F. Fouhey

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation.

Chris Rockwell, Nilesh Kulkarni, Linyi Jin, Jeong Joon Park, Justin Johnson, David F. Fouhey

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Learning to Predict Scene-Level Implicit 3D from Posed RGBD Data.

Nilesh Kulkarni, Linyi Jin, Justin Johnson, David F. Fouhey

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Directed Ray Distance Functions for 3D Scene Reconstruction.

Nilesh Kulkarni, Justin Johnson, David F. Fouhey

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction.

Nilesh Kulkarni, Justin Johnson, David F. Fouhey

CoRR, 2021

Collision Replay: What Does Bumping Into Things Tell You About Scene Geometry?

Alexander Raistrick, Nilesh Kulkarni, David Fouhey

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Implicit Mesh Reconstruction from Unannotated Image Collections.

Shubham Tulsiani, Nilesh Kulkarni, Abhinav Gupta

CoRR, 2020

Articulation-Aware Canonical Surface Mapping.

Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Canonical Surface Mapping via Geometric Cycle Consistency.

Nilesh Kulkarni, Shubham Tulsiani, Abhinav Gupta

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

3D-RelNet: Joint Object and Relational Network for 3D Prediction.

Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

On-Device Neural Language Model Based Word Prediction.

Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim

Proceedings of the COLING 2018, 2018

2017

An Embedded Deep Learning based Word Prediction.

Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim

CoRR, 2017

Modeling of the Latent Embedding of Music using Deep Neural Network.

Zhou Xing, Eddy Baik, Yan Jiao, Nilesh Kulkarni, Chris Li, Gautam Muralidhar, Marzieh Parandehgheibi, Erik Reed, Abhishek Singhal, Fei Xiao, Chris Pouliot

CoRR, 2017

Syllable-level Neural Language Model for Agglutinative Language.

Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim

Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017

2016

Robust kernel principal nested spheres.

Suyash P. Awate, Manik Dhar, Nilesh Kulkarni

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Content-based recommendation for podcast audio-items using natural language processing techniques.

Zhou Xing, Marzieh Parandehgheibi, Fei Xiao, Nilesh Kulkarni, Chris Pouliot

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016