45 citations · 81 across the 6 of their papers we have counts for
9 papers
Is High Local Accuracy Enough? Geometric Consensus with Support-Adaptive Statistical Personalization for Federated Learning
Junyu Lin, Bosong Qi, Pengcheng Shi +1
Real-world deployment of personalized federated learning (PFL) requires adapting to heterogeneous clients while preserving recognition performance beyond local distributions. Howev…
MORE: Learning Motion-Oriented Registers for Driving World Models and Planning
Yingdong Gu, Haoyu Wang, Shaocheng Yan +9
By predicting future states, latent world models provide rich self-supervision for end-to-end driving, but often inherit dense features from pretrained visual encoders as their wor…
MAPS: Multi-Anchor Projection Similarity for Joint Vision-Language Geo-Localization
Yutong Hu, Siyuan Tan, Shaocheng Yan +3
Humans localize places by integrating perceptual cues from vision with semantic reasoning from language, forming a scene understanding that is both intuitive and structured. Althou…
ULF-Loc: Unbiased Landmark Feature for Robust Visual Localization with 3D Gaussian Splatting
Yingdong Gu, Shaocheng Yan, Zhenjun Zhao +4
Visual localization is a core technology for augmented reality and autonomous navigation. Recent methods combine the efficient rendering of 3D Gaussian Splatting (3DGS) with featur…
TurboReg: TurboClique for Robust and Efficient Point Cloud Registration
Shaocheng Yan, Pengcheng Shi, Zhenjun Zhao +4
Robust estimation is essential in correspondence-based Point Cloud Registration (PCR). Existing methods using maximal clique search in compatibility graphs achieve high recall but…
RANSAC Back to SOTA: A Two-stage Consensus Filtering for Real-time 3D Registration
Pengcheng Shi, Shaocheng Yan, Yilin Xiao +3
Correspondence-based point cloud registration (PCR) plays a key role in robotics and computer vision. However, challenges like sensor noises, object occlusions, and descriptor limi…
ML-SemReg: Boosting Point Cloud Registration with Multi-level Semantic Consistency
Shaocheng Yan, Pengcheng Shi, Jiayuan Li
Recent advances in point cloud registration mostly leverage geometric information. Although these methods have yielded promising results, they still struggle with problems of low o…
LiDAR-Based Place Recognition For Autonomous Driving: A Survey
Yongjun Zhang, Pengcheng Shi, Jiayuan Li
LiDAR-based place recognition (LPR) plays a pivotal role in autonomous driving, which assists Simultaneous Localization and Mapping (SLAM) systems in reducing accumulated errors an…
RIFT2: Speeding-up RIFT with A New Rotation-Invariance Technique
Jiayuan Li, Pengcheng Shi, Qingwu Hu +1
Multimodal image matching is an important prerequisite for multisource image information fusion. Compared with the traditional matching problem, multimodal feature matching is more…