University of Waterloo

Yuhao Chen

Postdoctoral Fellow 2023

Yuhao Chen was a postdoctoral fellow at the Vision and Image Processing Lab (VIP) in systems design engineering at university of Waterloo from 2020-2023. He obtained his B.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from Purdue University in 2015 and 2019, respectively, while being a member of the Video and Image Processing (VIPER) laboratory. With a strong passion for exploring the cutting-edge technologies, Yuhao’s research has been focused on developing computer vision and artificial intelligence solutions for industrial applications, specifically in the fields of precision agriculture, precision health, and precision manufacturing.

Supervisors
Alexander Wong
Research interests
Computer vision, machine learning, deep learning, precision agriculture, precision health, precision manufacturing
Publications
Journal Articles

Chen X., Patel M., Xu L., Chen Y., Scott K.A., and Clausi D.A, "Weakly Supervised Learning for Pixel-Level Sea Ice Concentration Extraction Using AI4Arctic Sea Ice Challenge Dataset", IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024. Get it here. Ni X., Fieguth P.W., Ma Z., Shi B., Qiu Y., Chen Y., and Liu H, "Superpixel-Guided Multi-Type Rail Segmentation via Contextual Information Aggregation", IEEE Transactions on Intelligent Transportation Systems, vol. 25, pp. 14004-14018, 2024. Get it here. Mao D., Chen Y., Wu Y., Gilles M., and Wong A, "Rethinking Resource Competition in Multi-Task Learning: From Shared Parameters to Shared Representation", IEEE Access, vol. 12, pp. 128717-128728, 2024. Get it here. Wong A., Chen Y., and Seyler J, "Introduction to the special issue on Innovative Applications of Artificial Intelligence (IAAI 2024)", AI Magazine, vol. 45, pp. 440-442, 2024. Get it here. Wu Y., Xu L., Wang L., Chen Q., Chen Y., and Clausi D.A, "Multi-Task Edge Detection for Building Vectorization From Aerial Images", IEEE Geoscience and Remote Sensing Letters, vol. 20, 2023. Get it here. Gilles M., Chen Y., Zeng E.Z., Wu Y., Furmans K., Wong A., and Rayyes R, "MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterou", IEEE Transactions on Automation Science and Engineering, vol. 21, pp. 2302-2320, 2024. Get it here. Wu Y., Xu L., Chen Y., Wong A., and Clausi D.A, "TAL: Topography-Aware Multi-Resolution Fusion Learning for Enhanced Building Footprint Extraction", IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022. Get it here. Fang Y., Xu L., Chen Y., Zhou W., Wong A., and Clausi D.A, "A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 4571-4582, 2022. Get it here. Yang K.-W., Chapman S., Carpenter N., Hammer G., McLean G., Zheng B., Chen Y., Delp E., Masjedi A., Crawford M., Ebert D., Habib A., Thompson A., Weil C., and Tuinstra M.R, "Integrating crop growth models with remote sensing for predicting biomass yield of sorghum", In Silico Plants, vol. 3, 2021. Get it here. Lan K., Liu L., Li T., Chen Y., Fong S., Marques J.A.L., Wong R.K., and Tang R, "Multi-view convolutional neural network with leader and long-tail particle swarm optimizer for enhancing heart disease and breas", Neural Computing and Applications, vol. 32, pp. 15469-15488, 2020. Get it here. Haigh K.Z., Wong A., and Chen Y, "Introduction to the special issue on Innovative Applications of Artificial Intelligence (IAAI 2023)", AI Magazine, vol. 44, pp. 352-353, . Get it here.

Conference Papers

Sharma A., Czarnecki C., Chen Y., Xi P., Xu L., and Wong A, "How Much You Ate? Food Portion Estimation on Spoons", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2024. Get it here. Huang Y., Chen Y., and Zelek J, "Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2024. Get it here. Bright J., Balaji B., Chen Y., Clausi D.A., and Zelek J.S, "PitcherNet: Powering the Moneyball Evolution in Baseball Video Analytics", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2024. Get it here. Chen X., Patel M., Xu L., Chen Y., Clausi D.A., Andrea Scott K., and Huang W, "Pixel-Level Sea Ice Concentration Retrieval from Sentinel-1 SAR Imagery and Ancillary Data via Regional Loss Representations", Oceans Conference Record (IEEE), 2024. Get it here. Chomko V., Chen Y., Clausi D.A., and Wong A, "Synthetic Local Data Augmentation", 2024 IEEE 26th International Workshop on Multimedia Signal Processing, MMSP 2024, 2024. Get it here. Wong A., Wu Y., Abbasi S., Nair S., Chen Y., and Shafiee M.J, "Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic G", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2023. Get it here. Chen Y., Gunraj H., Zeng E.Z., Meyer R., Gilles M., and Wong A, "MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2023. Get it here. Gilles M., Chen Y., Robin Winter T., Zhixuan Zeng E., and Wong A, "MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis", IEEE International Conference on Automation Science and Engineering, 2022. Get it here. Chen Y., Wu Y., Xu L., and Wong A, "Quantization in relative gradient angle domain for building polygon estimation", Proceedings - International Conference on Pattern Recognition, 2020. Get it here. Yang C., Baireddy S., Chen Y., Cai E., Caldwell D., Meline V., Iyer-Pascuzzi A.S., and Delp E.J, "Plant Stem Segmentation Using Fast Ground Truth Generation", Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020. Get it here. Chen Y., Baireddy S., Cai E., Yang C., and Delp E.J, "Leaf segmentation by functional modeling", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Ribera J., Guera D., Chen Y., and Delp E.J, "Locating objects without bounding boxes", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2019. Get it here. Olsen P.A., Natesan Ramamurthy K., Ribera J., Chen Y., Thompson A.M., Luss R., Tuinstra M., and Abe N, "Detecting and counting panicles in sorghum images", Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018, 2019. Get it here. Chen Y., Ribera J., and Delp E.J, "Estimating plant centers using a deep binary classifier", Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2018. Get it here. Ribera J., Chen Y., Boomsma C., and Delp E.J, "Counting plants using deep learning", 2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings, 2018. Get it here. Chen Y., Ribera J., Boomsma C., and Delp E.J, "Plant leaf segmentation for estimating phenotypic traits", Proceedings - International Conference on Image Processing, ICIP, 2018. Get it here. Chen Y., Ribera J., Boomsma C., and Delp E, "Locating Crop Plant Centers from UAV-Based RGB Imagery", Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017, 2017. Get it here. Balaji B., Bright J., Prakash H., Chen Y., Clausi D.A., and Zelek J, "Jersey Number Recognition using Keyframe Identification from Low-Resolution Broadcast Videos", MMSports 2023 - Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, Co-located with: MM 2023, . Get it here. Shang J.C., Chen Y., Shafiee M.J., and Clausi D.A, "Rink-Agnostic Hockey Rink Registration", MMSports 2023 - Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, Co-located with: MM 2023, . Get it here. Bright J., Chen Y., and Zelek J, "Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis", MMSports 2023 - Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, Co-located with: MM 2023, . Get it here. Tai C.-E.A., Keller M., Nair S., Chen Y., Wu Y., Markham O., Parmar K., Xi P., Keller H., Kirkpatrick S., and Wong A, "NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches", MADiMa 2023 - Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, Co-located with: MM 2023, . Get it here.