Kratarth Goel

Kratarth Goel

Stanford University

H-index: 11

North America-United States

About Kratarth Goel

Kratarth Goel, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Artificial Intelligence, Deep Learning, Computer Vision.

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

MoST: Multi-modality Scene Tokenization for Motion Prediction

Scaling Motion Forecasting Models with Ensemble Distillation

Multi-task learning for real-time semantic and/or depth aware instance segmentation and/or three-dimensional object bounding

Machine-learned model training for pedestrian attribute and gesture detection

Three-dimensional object detection based on image data

Depth data model training with upsampling, losses and loss balancing

Three-dimensional point clouds based on images and depth data

Wayformer: Motion forecasting via simple & efficient attention networks

Kratarth Goel Information

University

Position

Zoox

Citations(all)

4898

Citations(since 2020)

4204

Cited By

2249

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

12

i10Index(since 2020)

10

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Kratarth Goel Skills & Research Interests

Artificial Intelligence

Deep Learning

Computer Vision

Top articles of Kratarth Goel

Title

Journal

Author(s)

Publication Date

MoST: Multi-modality Scene Tokenization for Motion Prediction

arXiv preprint arXiv:2404.19531

Norman Mu

Jingwei Ji

Zhenpei Yang

Nate Harada

Haotian Tang

...

2024/4/30

Scaling Motion Forecasting Models with Ensemble Distillation

arXiv preprint arXiv:2404.03843

Scott Ettinger

Kratarth Goel

Avikalp Srivastava

Rami Al-Rfou

2024/4/5

Multi-task learning for real-time semantic and/or depth aware instance segmentation and/or three-dimensional object bounding

2024/2/6

Machine-learned model training for pedestrian attribute and gesture detection

2023/7/25

Three-dimensional object detection based on image data

2023/2/2

Depth data model training with upsampling, losses and loss balancing

2023/6/20

Three-dimensional point clouds based on images and depth data

2023/2/2

Wayformer: Motion forecasting via simple & efficient attention networks

Nigamaa Nayakanti

Rami Al-Rfou

Aurick Zhou

Kratarth Goel

Khaled S Refaat

...

2023/5/29

Trajectory prediction using efficient attention neural networks

2023/12/21

Associating image data and depth data for depth determination

2023/3/23

Low variance region detection for improved high variance region detection using machine learning

2023/3/21

Restricted multi-scale inference for machine learning

2023/8/24

Training a machine-learned model to detect low variance regions

2023/3/14

Hierarchical machine-learning network architecture

2022/9/20

Machine learning techniques

Jeff Choi

Nima Aghaeepour

Martin Becker

2022/12/14

Quadronet: Multi-task learning for real-time semantic depth aware instance segmentation

Kratarth Goel

Praveen Srinivasan

Sarah Tariq

James Philbin

2021

Vehicle control system and method for pedestrian detection based on head detection in sensor data

2021/11/2

Depth data model training

2021/5/20

Head Detection for Improved Pedestrian Detection

2020/12/31

Low variance detection training

2020/12/31

See List of Professors in Kratarth Goel University(Stanford University)

Co-Authors

H-index: 227
Yoshua Bengio

Yoshua Bengio

Université de Montréal

H-index: 144
Li Fei-Fei

Li Fei-Fei

Stanford University

H-index: 105
Silvio Savarese

Silvio Savarese

Stanford University

H-index: 98
Aaron Courville

Aaron Courville

Université de Montréal

H-index: 44
Alexandre Alahi

Alexandre Alahi

École Polytechnique Fédérale de Lausanne

H-index: 20
Amir Sadeghian

Amir Sadeghian

Stanford University

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