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cs.CV2025

Manydepth2: Motion-Aware Self-Supervised Monocular Depth Estimation in Dynamic Scenes

Kaichen Zhou, Jia-Wang Bian, Jian-Qing Zheng +4

Despite advancements in self-supervised monocular depth estimation, challenges persist in dynamic scenarios due to the dependence on assumptions about a static world. In this paper…

cs.CV2025

DynPoint: Dynamic Neural Point For View Synthesis

Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin +4

The introduction of neural radiance fields has greatly improved the effectiveness of view synthesis for monocular videos. However, existing algorithms face difficulties when dealin…

cs.CV2025

VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization

Kaichen Zhou, Changhao Chen, Bing Wang +3

Recent learning-based approaches have achieved impressive results in the field of single-shot camera localization. However, how best to fuse multiple modalities (e.g., image and de…

cs.CV2024

MambaLoc: Efficient Camera Localisation via State Space Model

Jialu Wang, Kaichen Zhou, Andrew Markham +1

Location information is pivotal for the automation and intelligence of terminal devices and edge-cloud IoT systems, such as autonomous vehicles and augmented reality. However, achi…

cs.CV2024

Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation

Sangyun Shin, Kaichen Zhou, Madhu Vankadari +2

Coarse-to-fine 3D instance segmentation methods show weak performances compared to recent Grouping-based, Kernel-based and Transformer-based methods. We argue that this is due to t…