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cs.CV2026

Natural Human Motion Recovery by Aligning High-Order Temporal Dynamics from Monocular Videos

Dingkun Wei, Zehong Shen, Yan Xia +3

Human motion recovered from monocular videos often appears overly smooth or dynamically inconsistent, even when joint positions are numerically accurate. We observe that this limit…

cs.CV2026

DynFrame: Adaptive Reasoning-Driven Multimodal Framework with Dynamic Frame Augmentation for Complex Video Understanding

Peng Zhang, Guanghao Zhang, Wanggui He +10

Recent video multimodal large language models (MLLMs) increasingly couple step-by-step reasoning with on-demand visual evidence retrieval, allowing models to revisit relevant video…

cs.CV2026

Energy-Aware Imitation Learning for Steering Prediction Using Events and Frames

Hu Cao, Jiong Liu, Xingzhuo Yan +5

In autonomous driving, relying solely on frame-based cameras can lead to inaccuracies caused by factors like long exposure times, high-speed motion, and challenging lighting condit…

cs.CV2025

SparseAlign: A Fully Sparse Framework for Cooperative Object Detection

Yunshuang Yuan, Yan Xia, Daniel Cremers +1

Cooperative perception can increase the view field and decrease the occlusion of an ego vehicle, hence improving the perception performance and safety of autonomous driving. Despit…

cs.CV2024

Gap Completion in Point Cloud Scene occluded by Vehicles using SGC-Net

Yu Feng, Yiming Xu, Yan Xia +2

Recent advances in mobile mapping systems have greatly enhanced the efficiency and convenience of acquiring urban 3D data. These systems utilize LiDAR sensors mounted on vehicles t…