Yuhao Chen

According to our database, Yuhao Chen authored at least 56 papers between 2017 and 2024.

Collaborative distances:

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

2024

Superpixel-Guided Multi-Type Rail Segmentation via Contextual Information Aggregation.

Xuefeng Ni, Paul W. Fieguth, Ziji Ma, Bo Shi, Yuan Qiu, Yuhao Chen, Hongli Liu

IEEE Trans. Intell. Transp. Syst., October, 2024

MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping.

Maximilian Gilles, Yuhao Chen, E. Zhixuan Zeng, Yifan Wu, Kai Furmans, Alexander Wong, Rania Rayyes

IEEE Trans Autom. Sci. Eng., July, 2024

Weakly Supervised Learning for Pixel-Level Sea Ice Concentration Extraction Using AI4Arctic Sea Ice Challenge Dataset.

Xinwei Chen, Muhammed Patel, Linlin Xu, Yuhao Chen, Katharine Andrea Scott, David A. Clausi

IEEE Geosci. Remote. Sens. Lett., 2024

Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts.

E. Zhixuan Zeng, Yuhao Chen, Alexander Wong

CoRR, 2024

SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly Detection.

Yizhe Liu, Yan Song Hu, Yuhao Chen, John S. Zelek

CoRR, 2024

MGSO: Monocular Real-time Photometric SLAM with Efficient 3D Gaussian Splatting.

Yan Song Hu, Nicolas Abboud, Muhammad Qasim Ali, Adam Srebrnjak Yang, Imad H. Elhajj, Daniel C. Asmar, Yuhao Chen, John S. Zelek

CoRR, 2024

MetaFood3D: Large 3D Food Object Dataset with Nutrition Values.

Yuhao Chen, Jiangpeng He, Chris Czarnecki, Gautham Vinod, Talha Ibn Mahmud, Siddeshwar Raghavan, Jinge Ma, Dayou Mao, Saeejith Nair, Pengcheng Xi, Alexander Wong, Edward J. Delp, Fengqing Zhu

CoRR, 2024

Towards Real-Time Gaussian Splatting: Accelerating 3DGS through Photometric SLAM.

Yan Song Hu, Dayou Mao, Yuhao Chen, John S. Zelek

CoRR, 2024

MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results.

Jiangpeng He, Yuhao Chen, Gautham Vinod, Talha Ibn Mahmud, Fengqing Zhu, Edward J. Delp, Alexander Wong, Pengcheng Xi, Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva, Jiadong Tang, Dianyi Yang, Yu Gao, Zhaoxiang Liang, Yawei Jueluo, Chengyu Shi, Pengyu Wang

CoRR, 2024

Dense Monocular Motion Segmentation Using Optical Flow and Pseudo Depth Map: A Zero-Shot Approach.

Yuxiang Huang, Yuhao Chen, John S. Zelek

CoRR, 2024

Understanding the Limitations of Diffusion Concept Algebra Through Food.

E. Zhixuan Zeng, Yuhao Chen, Alexander Wong

CoRR, 2024

Multi Player Tracking in Ice Hockey with Homographic Projections.

Harish Prakash, Jia Cheng Shang, Ken M. Nsiempba, Yuhao Chen, David A. Clausi, John S. Zelek

CoRR, 2024

Region-level labels in ice charts can produce pixel-level segmentation for Sea Ice types.

Muhammed Patel, Xinwei Chen, Linlin Xu, Yuhao Chen, Katharine Andrea Scott, David A. Clausi

CoRR, 2024

NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images.

Matthew Keller, Chi-En Amy Tai, Yuhao Chen, Pengcheng Xi, Alexander Wong

CoRR, 2024

In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls.

Akil Pathiranage, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong

CoRR, 2024

Domain-Guided Masked Autoencoders for Unique Player Identification.

Bavesh Balaji, Jerrin Bright, Sirisha Rambhatla, Yuhao Chen, Alexander Wong, John S. Zelek, David A. Clausi

CoRR, 2024

Distribution and Depth-Aware Transformers for 3D Human Mesh Recovery.

Jerrin Bright, Bavesh Balaji, Harish Prakash, Yuhao Chen, David A. Clausi, John S. Zelek

CoRR, 2024

Robust Analysis of Multi-Task Learning on a Complex Vision System.

Dayou Mao, Yuhao Chen, Yifan Wu, Maximilian Gilles, Alexander Wong

CoRR, 2024

NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation.

Chi-En Amy Tai, Saeejith Nair, Olivia Markham, Matthew Keller, Yifan Wu, Yuhao Chen, Alexander Wong

CoRR, 2024

Rethinking Resource Competition in Multi-Task Learning: From Shared Parameters to Shared Representation.

Dayou Mao, Yuhao Chen, Yifan Wu, Maximilian Gilles, Alexander Wong

IEEE Access, 2024

Synthetic Local Data Augmentation.

Vasyl Chomko, Yuhao Chen, David A. Clausi, Alexander Wong

Proceedings of the 26th IEEE International Workshop on Multimedia Signal Processing, 2024

How Much You Ate? Food Portion Estimation on Spoons.

Aaryam Sharma, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong

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

Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion.

Yuxiang Huang, Yuhao Chen, John S. Zelek

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

PitcherNet: Powering the Moneyball Evolution in Baseball Video Analytics.

Jerrin Bright, Bavesh Balaji, Yuhao Chen, David A. Clausi, John S. Zelek

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

2023

Introduction to the special issue on Innovative Applications of Artificial Intelligence (IAAI 2023).

Karen Zita Haigh, Alexander Wong, Yuhao Chen

AI Mag., December, 2023

Multi-Task Edge Detection for Building Vectorization From Aerial Images.

Yifan Wu, Linlin Xu, Lei Wang, Qi Chen, Yuhao Chen, David A. Clausi

IEEE Geosci. Remote. Sens. Lett., 2023

NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation.

Saeejith Nair, Chi-En Amy Tai, Yuhao Chen, Alexander Wong

CoRR, 2023

FoodFusion: A Latent Diffusion Model for Realistic Food Image Generation.

Olivia Markham, Yuhao Chen, Chi-En Amy Tai, Alexander Wong

CoRR, 2023

Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion.

Aditya Sridhar, Chi-En Amy Tai, Hayden Gunraj, Yuhao Chen, Alexander Wong

CoRR, 2023

NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields.

Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee, Alexander Wong

CoRR, 2023

Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions.

Grant Sinha, Krish Parmar, Hilda Azimi, Chi-En Amy Tai, Yuhao Chen, Alexander Wong, Pengcheng Xi

CoRR, 2023

NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models.

Chi-En Amy Tai, Jason Li, Sriram Kumar, Saeejith Nair, Yuhao Chen, Pengcheng Xi, Alexander Wong

CoRR, 2023

NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation.

Chi-En Amy Tai, Matthew Keller, Mattie Kerrigan, Yuhao Chen, Saeejith Nair, Pengcheng Xi, Alexander Wong

CoRR, 2023

ShapeShift: Superquadric-based Object Pose Estimation for Robotic Grasping.

E. Zhixuan Zeng, Yuhao Chen, Alexander Wong

CoRR, 2023

Rink-Agnostic Hockey Rink Registration.

Jia Cheng Shang, Yuhao Chen, Mohammad Javad Shafiee, David A. Clausi

Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023

Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis.

Jerrin Bright, Yuhao Chen, John S. Zelek

Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023

Jersey Number Recognition using Keyframe Identification from Low-Resolution Broadcast Videos.

Bavesh Balaji, Jerrin Bright, Harish Prakash, Yuhao Chen, David A. Clausi, John S. Zelek

Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023

NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches.

Chi-En Amy Tai, Matthew Keller, Saeejith Nair, Yuhao Chen, Yifan Wu, Olivia Markham, Krish Parmar, Pengcheng Xi, Heather H. Keller, Sharon Kirkpatrick, Alexander Wong

Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023

Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge.

Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee

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

MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy.

Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Robbie Meyer, Maximilian Gilles, Alexander Wong

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

2022

A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation.

Yuan Fang, Linlin Xu, Yuhao Chen, Wei Zhou, Alexander Wong, David A. Clausi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

TAL: Topography-Aware Multi-Resolution Fusion Learning for Enhanced Building Footprint Extraction.

Yifan Wu, Linlin Xu, Yuhao Chen, Alexander Wong, David A. Clausi

IEEE Geosci. Remote. Sens. Lett., 2022

MMRNet: Improving Reliability for Multimodal Computer Vision for Bin Picking via Multimodal Redundancy.

Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Maximilian Gilles, Alexander Wong

CoRR, 2022

MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis.

Maximilian Gilles, Yuhao Chen, Tim Robin Winter, E. Zhixuan Zeng, Alexander Wong

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

MetaGraspNet: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis.

Yuhao Chen, E. Zhixuan Zeng, Maximilian Gilles, Alexander Wong

CoRR, 2021

2020

Plant Stem Segmentation Using Fast Ground Truth Generation.

Changye Yang, Sriram Baireddy, Yuhao Chen, Enyu Cai, Denise Caldwell, Valérian Méline, Anjali S. Iyer-Pascuzzi, Edward J. Delp

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020

Quantization in Relative Gradient Angle Domain For Building Polygon Estimation.

Yuhao Chen, Yifan Wu, Linlin Xu, Alexander Wong

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Locating Objects Without Bounding Boxes.

Javier Ribera, David Guera, Yuhao Chen, Edward J. Delp

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Leaf Segmentation by Functional Modeling.

Yuhao Chen, Sriram Baireddy, Enyu Cai, Changye Yang, Edward J. Delp

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Estimating Phenotypic Traits From UAV Based RGB Imagery.

Javier Ribera, Fangning He, Yuhao Chen, Ayman F. Habib, Edward J. Delp

CoRR, 2018

Weighted Hausdorff Distance: A Loss Function For Object Localization.

Javier Ribera, David Güera, Yuhao Chen, Edward J. Delp

CoRR, 2018

Estimating Plant Centers Using A Deep Binary Classifier.

Yuhao Chen, Javier Ribera, Edward J. Delp

Proceedings of the 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, 2018

Detecting and Counting Panicles in Sorghum Images.

Peder A. Olsen, Karthikeyan Natesan Ramamurthy, Javier Ribera, Yuhao Chen, Addie M. Thompson, Ronny Luss, Mitch Tuinstra, Naoki Abe

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

Plant leaf segmentation for estimating phenotypic traits.

Yuhao Chen, Javier Ribera, Christopher Boomsma, Edward J. Delp

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Locating Crop Plant Centers from UAV-Based RGB Imagery.

Yuhao Chen, Javier Ribera, Christopher Boomsma, Edward J. Delp

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Counting plants using deep learning.

Javier Ribera, Yuhao Chen, Christopher Boomsma, Edward J. Delp

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017