On the synergies between machine learning and binocular stereo for depth estimation from images: a survey M Poggi, F Tosi, K Batsos, P Mordohai, S Mattoccia IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5314-5334, 2021 | 144 | 2021 |
CBMV: A coalesced bidirectional matching volume for disparity estimation K Batsos, C Cai, P Mordohai Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 73 | 2018 |
Recresnet: A recurrent residual cnn architecture for disparity map enhancement K Batsos, P Mordohai 2018 International Conference on 3D Vision (3DV), 238-247, 2018 | 42 | 2018 |
Real-time dense 3d mapping of underwater environments W Wang, B Joshi, N Burgdorfer, K Batsosc, AQ Lid, P Mordohaia, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 5184-5191, 2023 | 17 | 2023 |
High-resolution stereo matching based on sampled photoconsistency computation C LeGendre, K Batsos, P Mordohai British Machine Vision Conference, 2017 | 13 | 2017 |
NBVC: A benchmark for depth estimation from narrow-baseline video clips P Mordohai, K Batsos, A Makadia, N Snavely 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 2 | 2020 |
Systems and methods for providing and using confidence estimations for semantic labeling K Batsos, YD Jian US Patent App. 17/465,915, 2023 | 1 | 2023 |
Handling Road Marking Changes K Batsos, K Yousif, T Bu, Y Jian US Patent App. 18/077,646, 2024 | | 2024 |
Learning-Based Binocular and Multi-View Stereo Informed by Domain Expertise K Batsos Stevens Institute of Technology, 2020 | | 2020 |
Supplementary Material CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation K Batsos, C Cai, P Mordohai | | |