Greg Shakhnarovich

About Greg Shakhnarovich

Greg Shakhnarovich, With an exceptional h-index of 44 and a recent h-index of 34 (since 2020), a distinguished researcher at Toyota Technological Institute, specializes in the field of Computer Vision, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Transcrib3D: 3D Referring Expression Resolution through Large Language Models

Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields

Geometric 3d augmentations for transformer architectures

Self-occlusion masks to improve self-supervised monocular depth estimation in multi-camera settings

TTIC’s Submission to WMT-SLT 23

Generative Models: What do they know? Do they know things? Let's find out!

Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model

System and method to improve multi-camera monocular depth estimation using pose averaging

Greg Shakhnarovich Information

University

Position

Professor

Citations(all)

14413

Citations(since 2020)

7904

Cited By

9381

hIndex(all)

44

hIndex(since 2020)

34

i10Index(all)

68

i10Index(since 2020)

53

Email

University Profile Page

Google Scholar

Greg Shakhnarovich Skills & Research Interests

Computer Vision

Machine Learning

Top articles of Greg Shakhnarovich

Transcrib3D: 3D Referring Expression Resolution through Large Language Models

arXiv preprint arXiv:2404.19221

2024/4/30

Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields

arXiv preprint arXiv:2404.02155

2024/4/2

Greg Shakhnarovich
Greg Shakhnarovich

H-Index: 30

Geometric 3d augmentations for transformer architectures

2024/1/25

Self-occlusion masks to improve self-supervised monocular depth estimation in multi-camera settings

2024/1/16

Generative Models: What do they know? Do they know things? Let's find out!

arXiv preprint arXiv:2311.17137

2023/11/28

Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model

2024

System and method to improve multi-camera monocular depth estimation using pose averaging

2023/11/9

6-DoF Stability Field via Diffusion Models

arXiv preprint arXiv:2310.17649

2023/10/26

Hyperfields: Towards zero-shot generation of nerfs from text

arXiv preprint arXiv:2310.17075

2023/10/26

Self-supervised video transformers for isolated sign language recognition

arXiv preprint arXiv:2309.02450

2023/9/2

Shared median-scaling metric for multi-camera self-supervised depth evaluation

2023/6/27

Nerfuser: Large-scale scene representation by nerf fusion

arXiv preprint arXiv:2305.13307

2023/5/22

Systems and methods for self-supervised learning of camera intrinsic parameters from a sequence of images

2023/3/16

Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation

2023

Jiahao Li
Jiahao Li

H-Index: 1

Greg Shakhnarovich
Greg Shakhnarovich

H-Index: 30

LoopDraw: a Loop-Based Autoregressive Model for Shape Synthesis and Editing

arXiv preprint arXiv:2212.04981

2022/12/9

Greg Shakhnarovich
Greg Shakhnarovich

H-Index: 30

Rana Hanocka
Rana Hanocka

H-Index: 5

Boosting barely robust learners: A new perspective on adversarial robustness

Advances in Neural Information Processing Systems

2022/12/6

Ttic’s wmt-slt 22 sign language translation system

2022/12

Depth field networks for generalizable multi-view scene representation

2022/10/23

Igor Vasiljevic
Igor Vasiljevic

H-Index: 2

Greg Shakhnarovich
Greg Shakhnarovich

H-Index: 30

Text-free learning of a natural language interface for pretrained face generators

arXiv preprint arXiv:2209.03953

2022/9/8

Nicholas Kolkin
Nicholas Kolkin

H-Index: 5

Greg Shakhnarovich
Greg Shakhnarovich

H-Index: 30

See List of Professors in Greg Shakhnarovich University(Toyota Technological Institute)

Co-Authors

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