| Probabilistic RGB-D Odometry based on Points, Lines and Planes Under Depth Uncertainty PF Proença, Y Gao Robotics and Autonomous Systems 104, 25–39, 2018 | 20 | 2018 |
| Deep learning for spacecraft pose estimation from photorealistic rendering PF Proença, Y Gao arXiv preprint arXiv:1907.04298, 2019 | 13 | 2019 |
| Retrieval of objects captured with Kinect one camera PB Pascoal, P Proença, F Gaspar, MS Dias, F Teixeira, A Ferreira, V Seib, ... Proceedings of the 2015 Eurographics Workshop on 3D Object Retrieval, 145-151, 2015 | 12 | 2015 |
| Space Perception in Virtual Environments-On how biometric sensing in virtual environments may give architects users's feedback MS Dias, S Eloy, M Carreiro, E Vilar, S Marques, A Moural, P Proênça, ... CUMINCAD, 2014 | 11 | 2014 |
| Designing better spaces for people MS Dias, S Eloy, M Carreiro, P Proença, A Moural, T Pedro, J Freitas, ... CUMINCAD, 2014 | 11 | 2014 |
| Fast Cylinder and Plane Extraction from Depth Cameras for Visual Odometry PF Proença, Y Gao IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 | 7 | 2018 |
| Probabilistic Combination of Noisy Points and Planes for RGB-D Odometry PF Proença, Y Gao Towards Autonomous Robotic Systems (TAROS), 2017 | 7 | 2017 |
| SPLODE: Semi-Probabilistic Point and Line Odometry with Depth Estimation from RGB-D Camera Motion PF Proença, Y Gao IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017 | 5 | 2017 |
| Good Appearance and Shape Descriptors for Object Category Recognition PF Proença, F Gaspar, MS Dias International Symposium on Visual Computing (ISVC), 2013 | 5 | 2013 |
| Shape retrieval of low-cost RGB-D captures PB Pascoal, P Proença, F Gaspar, MS Dias, A Ferreira, A Tatsuma, ... Proceedings of the Eurographics 2016 Workshop on 3D Object Retrieval, 69-78, 2016 | 3 | 2016 |
| Ground-Based High-DOF AI And Robotics Demonstrator For In-Orbit Space Optical Telescope Assembly Z Hao, N Mavrakis, P Proenca, R Gillham Darnley, S Fallah, M Sweeting, ... Congress IAC 19-paper arcive, 2019 | 2 | 2019 |
| TACO: Trash Annotations in Context for Litter Detection PF Proença, P Simões arXiv preprint arXiv:2003.06975, 2020 | 1 | 2020 |
| Space Perception in Virtual Environments' M Dias, S Eloy, M Carreiro, E Vilar, S Marques, A Moural Proceedings of the 32nd eCAADe Conference, 2014 | 1 | 2014 |
| Object Category Recognition through RGB-D Data PF Proença MSc Thesis, ISCTE-IUL, 2013 | 1 | 2013 |
| Robust RGB-D Odometry under Depth Uncertainty for Structured Environments PF Proenca PQDT-Global, 2018 | | 2018 |
| Good Appearance and 3D Shape Descriptors for Object Category Recognition PF Proença, F Gaspar, MS Dias International Journal on Artificial Intelligence Tools 24 (4), 1540017, 2015 | | 2015 |
| Dense 3D-Reconstruction From Monocular Image Sequences for Computationally Constrained UAS M Domnik, P Proenca, J Delaune, J Thiem, R Brockers Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 0 | | |
| SHREC’16 Track: Shape Retrieval of Low-Cost RGB-D Captures PB Pascoal, P Proença, F Gaspar, MS Dias, A Ferreira, A Tatsuma, ... | | |
| SHREC’15 Track: Retrieval of Objects Captured with Kinect One Camera PB Pascoal, P Proença, F Gaspar, MS Dias, F Teixeira, A Ferreira, V Seib, ... | | |
