Jyh-Jing Hwang

University of Pennsylvania

H-index: 12

North America-United States

About Jyh-Jing Hwang

Jyh-Jing Hwang, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Computer Vision, Machine Learning, Deep Learning.

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

Camera-radar sensor fusion using local attention mechanism

Let-3d-ap: Longitudinal error tolerant 3d average precision for camera-only 3d detection

Unsupervised hierarchical semantic segmentation with multiview cosegmentation and clustering transformers

Cramnet: Camera-radar fusion with ray-constrained cross-attention for robust 3d object detection

Contextual image parsing via panoptic segment sorting

Universal weakly supervised segmentation by pixel-to-segment contrastive learning

Learning Image Segmentation with Relation-Centric Loss and Representation

Jyh-Jing Hwang Information

University	University of Pennsylvania
Position	___
Citations(all)	1011
Citations(since 2020)	887
Cited By	415
hIndex(all)	12
hIndex(since 2020)	11
i10Index(all)	12
i10Index(since 2020)	11
Email	Access Email
University Profile Page	University of Pennsylvania
Google Scholar	View Google Scholar Profile

Jyh-Jing Hwang Skills & Research Interests

Computer Vision

Machine Learning

Deep Learning

Top articles of Jyh-Jing Hwang

Title	Journal	Author(s)	Publication Date
Camera-radar sensor fusion using local attention mechanism			2023/7/6
Let-3d-ap: Longitudinal error tolerant 3d average precision for camera-only 3d detection	arXiv preprint arXiv:2206.07705	Wei-Chih Hung Henrik Kretzschmar Vincent Casser Jyh-Jing Hwang Dragomir Anguelov	2022/6/15
Unsupervised hierarchical semantic segmentation with multiview cosegmentation and clustering transformers		Tsung-Wei Ke Jyh-Jing Hwang Yunhui Guo Xudong Wang Stella X Yu	2022
Cramnet: Camera-radar fusion with ray-constrained cross-attention for robust 3d object detection		Jyh-Jing Hwang Henrik Kretzschmar Joshua Manela Sean Rafferty Nicholas Armstrong-Crews ...	2022/10/23
Contextual image parsing via panoptic segment sorting		Jyh-Jing Hwang Tsung-Wei Ke Stella X Yu	2021/10/24
Universal weakly supervised segmentation by pixel-to-segment contrastive learning	arXiv preprint arXiv:2105.00957	Tsung-Wei Ke Jyh-Jing Hwang Stella X Yu	2021/5/3
Learning Image Segmentation with Relation-Centric Loss and Representation		Jyh-Jing Hwang	2020