Feed-forward reconstruction recovers camera poses and dense geometry from image sets whose views are assumed to come from a single scene. In practice, uncurated image collections often contain views from disjoint scenes, and reconstructing these views jointly can corrupt camera poses and geometry. Existing pipelines ty...
Jing-Wen Yu, Heng-Li Wang, Jian-Hao Jiao et al.· 0 citations
Globally consistent, real-time state estimation in large-scale, perceptually degraded environments is essential for autonomous vehicles and aerial robots, and requires fusing LiDAR, inertial, and GNSS measurements. Existing fusion methods, however, share a scan-to-map front-end with two failure modes. First, each scan...
When searching for an object, people choose their next move by considering both likely target locations and places already explored. The current view can cue place-associated memories, bringing target relevance and prior exploration into the same spatial context. In many zero-shot object navigation (ZSON) methods, howe...
Jin-Cheng Wang, Chi-Pui Chan, Wei Zeng et al.· 0 citations
Achieving accurate and efficient object pose estimation is a key goal in computer vision. Most existing methods rely on controlled environments, limiting their effectiveness in complex, dynamic, and unstructured real-world scenarios, especially for novel objects, severe occlusion, or sensor noise. Recent studies show t...
Hui Zhang, Yue Wang, Jian-Hao Jiao et al.· IEEE Transactions on Automat...· 0 citations
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