SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices. - Albert Luginov; Ilya Makarov (ISMAR-Adjunct, 2023)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CVPR Workshops, 2024)

NimbleD: Enhancing Self-supervised Monocular Depth Estimation with Pseudo-labels and Large-Scale Video Pre-training. - Albert Luginov; Muhammad Shahzad (ECCV Workshops (2), 2024)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CoRR, 2024)

The Fourth Monocular Depth Estimation Challenge. - Anton Obukhov; Matteo Poggi; Fabio Tosi; Ripudaman Singh Arora; Jaime Spencer; Chris Russell 001; Simon Hadfield; Richard Bowden; Shuaihang Wang; Zhenxin Ma; Weijie Chen 006; Baobei Xu; et al. (CVPR Workshops, 2025)