| A systematic comparison between visual cues for boundary detection DA Mély, J Kim, M McGill, Y Guo, T Serre Vision research 120, 93-107, 2016 | 142 | 2016 |
| Gen-LaneNet: A generalized and scalable approach for 3D lane detection Y Guo, G Chen, P Zhao, W Zhang, J Miao, J Wang, TE Choe European Conference on Computer Vision, 666-681, 2020 | 115 | 2020 |
| Omnifusion: 360 monocular depth estimation via geometry-aware fusion Y Li, Y Guo, Z Yan, X Huang, Y Duan, L Ren Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 83 | 2022 |
| Symmetry and uncertainty-aware object slam for 6dof object pose estimation N Merrill, Y Guo, X Zuo, X Huang, S Leutenegger, X Peng, L Ren, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 47 | 2022 |
| BoMW: Bag of manifold words for one-shot learning gesture recognition from kinect L Zhang, S Zhang, F Jiang, Y Qi, J Zhang, Y Guo, H Zhou IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 2562 …, 2017 | 32 | 2017 |
| Differential geometry in edge detection: accurate estimation of position, orientation and curvature BB Kimia, X Li, Y Guo, A Tamrakar IEEE transactions on pattern analysis and machine intelligence 41 (7), 1573-1586, 2018 | 24 | 2018 |
| A multi-stage approach to curve extraction Y Guo, N Kumar, M Narayanan, B Kimia Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 20 | 2014 |
| Method for detecting closest in-path object (CIPO) for autonomous driving TE Choe, Y Guo, G Chen, W Zhang, KW Tsoi US Patent 10,915,766, 2021 | 10 | 2021 |
| TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving C Zhao, S Sun, R Wang, Y Guo, JJ Wan, Z Huang, X Huang, YV Chen, ... European Conference on Computer Vision (ECCV), 2024 | 9* | 2024 |
| 3d copy-paste: Physically plausible object insertion for monocular 3d detection Y Ge, HX Yu, C Zhao, Y Guo, X Huang, L Ren, L Itti, J Wu Advances in Neural Information Processing Systems 36, 17057-17071, 2023 | 9 | 2023 |
| Discriminating between sleep and exercise-induced fatigue using computer vision and behavioral genetics KN Schuch, LN Govindarajan, Y Guo, SN Baskoylu, S Kim, B Kimia, ... Nature's Gift to Neuroscience, 241-253, 2022 | 9 | 2022 |
| On evaluating methods for recovering image curve fragments Y Guo, B Kimia 2012 IEEE Computer Society Conference on Computer Vision and Pattern …, 2012 | 8 | 2012 |
| Seabird: segmentation in bird's view with dice loss improves monocular 3D detection of large objects A Kumar, Y Guo, X Huang, L Ren, X Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| Determining vanishing points based on lane lines Y Guo, TE Choe, KW Tsoi, G Chen, W Zhang US Patent 11,227,167, 2022 | 6 | 2022 |
| Pop-net: Pose over parts network for multi-person 3d pose estimation from a depth image Y Guo, Z Li, Z Li, X Du, S Quan, Y Xu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 6 | 2022 |
| “Signal, image and video processing” special issue: Semantic representations for social behavior analysis in video surveillance systems S Zhang, H Zhou, B Zhang, Z Han, Y Guo Signal, Image and Video Processing 8, 73-74, 2014 | 6 | 2014 |
| Method for determining anchor boxes for training neural network object detection models for autonomous driving KW Tsoi, TE Choe, Y Guo, G Chen, W Zhang US Patent 11,055,540, 2021 | 5 | 2021 |
| Enhancing online road network perception and reasoning with standard definition maps H Zhang, D Paz, Y Guo, A Das, X Huang, K Haug, HI Christensen, L Ren 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | 4 | 2024 |
| Representing vanishing points using relative distances Y Guo, TE Choe, KW Tsoi, G Chen, W Zhang US Patent 10,818,035, 2020 | 4 | 2020 |
| SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction Y Guo, A Kumar, C Zhao, R Wang, X Huang, L Ren European Conference on Computer Vision (ECCV), 2024 | 3* | 2024 |
Xinyu HuangRobert Bosch LLC - Research and Technology CenterPreverjeni e-poštni naslov na us.bosch.com
