| Adaptive auxiliary task weighting for reinforcement learning X Lin, H Baweja, G Kantor, D Held Advances in neural information processing systems 32, 2019 | 107 | 2019 |
| Stalknet: A deep learning pipeline for high-throughput measurement of plant stalk count and stalk width HS Baweja, T Parhar, O Mirbod, S Nuske Field and Service Robotics: Results of the 11th International Conference …, 2018 | 86 | 2018 |
| A robust illumination-invariant camera system for agricultural applications A Silwal, T Parhar, F Yandun, H Baweja, G Kantor 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 33 | 2021 |
| Reinforcement learning without ground-truth state X Lin, HS Baweja, D Held arXiv preprint arXiv:1905.07866, 2019 | 26 | 2019 |
| A deep learning-based stalk grasping pipeline T Parhar, H Baweja, M Jenkins, G Kantor 2018 IEEE International Conference on Robotics and Automation (ICRA), 6161-6167, 2018 | 17 | 2018 |
| Leprosy lesion recognition using convolutional neural networks HS Baweja, T Parhar 2016 International Conference on Machine Learning and Cybernetics (ICMLC) 1 …, 2016 | 12 | 2016 |
| Early-season vineyard shoot and leaf estimation using computer vision techniques HS BAWEJA, T Parhar, S Nuske 2017 ASABE Annual International Meeting, 1, 2017 | 6 | 2017 |
| Prediction of sorghum bicolor genotype from in-situ images using autoencoder-identified SNPs M Cudic, H Baweja, T Parhar, ST Nuske 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 5 | 2018 |
| Method and apparatus for measuring plant trichomes T Mueller-sim, H Baweja, T Parhar US Patent App. 17/298,731, 2022 | 1 | 2022 |
| Advanced Learning and Classification Techniques for Agricultural and Field Robotics A Silwal, T Prahar, H Baweja Fundamentals of Agricultural and Field Robotics, 337-364, 2021 | | 2021 |
| Leveraging learning techniques for agricultural robotics HS Baweja Carnegie Mellon University Pittsburgh, PA, 2019 | | 2019 |
Stephen NuskeBestätigte E-Mail-Adresse bei aquabyte.ai
