| Squeeze-and-attention networks for semantic segmentation Z Zhong, ZQ Lin, R Bidart, X Hu, IB Daya, Z Li, WS Zheng, J Li, A Wong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 309 | 2020 |
| RUNet: A robust UNet architecture for image super-resolution X Hu, MA Naiel, A Wong, M Lamm, P Fieguth Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 124 | 2019 |
| Unsupervised 3d pose estimation for hierarchical dance video recognition X Hu, N Ahuja Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 22 | 2021 |
| Prostategan: Mitigating data bias via prostate diffusion imaging synthesis with generative adversarial networks X Hu, AG Chung, P Fieguth, F Khalvati, MA Haider, A Wong arXiv preprint arXiv:1811.05817, 2018 | 21 | 2018 |
| Barriers to computer vision applications in pig production facilities J Li, AR Green-Miller, X Hu, A Lucic, MRM Mohan, RN Dilger, ... Computers and Electronics in Agriculture 200, 107227, 2022 | 20 | 2022 |
| Tracking grow-finish pigs across large pens using multiple cameras A Shirke, A Saifuddin, A Luthra, J Li, T Williams, X Hu, A Kotnana, ... arXiv preprint arXiv:2111.10971, 2021 | 11 | 2021 |
| GAIA at SMKBP 2020-a dockerlized multi-media multi-lingual knowledge extraction, clustering, temporal tracking and hypothesis generation system M Li, Y Lin, TM Lai, X Pan, H Wen, S Li, Z Wang, P Yu, L Huang, D Lu, ... Proceedings of Thirteenth Text Analysis Conference (TAC 2020), 2020 | 8 | 2020 |
| Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops X Hu, MA Naiel, A Wong, M Lamm, P Fieguth | 5 | 2019 |
| MUSE: textual attributes guided portrait painting generation X Hu, P Yu, K Knight, H Ji, B Li, H Shi 2021 IEEE 4th International Conference on Multimedia Information Processing …, 2021 | 4 | 2021 |
| Text enhancement in projected imagery X Hu, MA Naiel, Z Azimifar, IB Daya, M Lamm, P Fieguth Journal of Computational Vision and Imaging Systems 4 (1), 3-3, 2018 | 3 | 2018 |
| P‐59: Robust Visual Enhancement of Moving Contents in Projected Imagery X Hu, MA Naiel, Z Azimifar, M Lamm, P Fieguth SID Symposium Digest of Technical Papers 50 (1), 1456-1459, 2019 | 2 | 2019 |
| GPT-4o: Visual perception performance of multimodal large language models in piglet activity understanding Y Wu, X Hu, Z Fu, S Zhou, J Li arXiv preprint arXiv:2406.09781, 2024 | 1 | 2024 |
| Non-stationary content-adaptive projector resolution enhancement X Hu, MA Naiel, Z Azimifar, IB Daya, M Lamm, P Fieguth Signal Processing: Image Communication 97, 116348, 2021 | 1 | 2021 |
| Device, system and method for enhancing one or more of high contrast regions and text regions in projected images HU Xiaodan, MA Naiel, Z Azimifar, IB Daya, M Lamm, P Fieguth US Patent 11,109,005, 2021 | 1 | 2021 |
| Motion detection in high resolution enhancement X Hu, A Ma, A Gawish, M Lamm, P Fieguth Journal of Computational Vision and Imaging Systems 3 (1), 2017 | 1 | 2017 |
| Accelerated Data Engine: A faster dataset construction workflow for computer vision applications in commercial livestock farms Y Wu, S Zhou, Z Wu, Z Chen, X Hu, J Li Computers and Electronics in Agriculture 226, 109452, 2024 | | 2024 |
| Promote computer vision applications in pig farming scenarios: high-quality dataset, fundamental models, and comparable performance1 J Li, X Hu, A Lucic, Y Wu, ICFS Condotta, RN Dilger, N Ahuja, ... Journal of Integrative Agriculture, 2024 | | 2024 |
| Content-Adaptive Non-Stationary Projector Resolution Enhancement X Hu University of Waterloo, 2019 | | 2019 |
| New Benchmark for Development and Evaluation of Computer Vision Models in Pig Farming Scenarios J Li, X Hu, A Lucic, Y Wu, ICFS Condotta, RN Dilger, N Ahuja, ... Available at SSRN 4632188, 0 | | |
