3 papers
cs.CV2026
FlowConsist: Make Your Flow Consistent with Real Trajectory
Tianyi Zhang, Chengcheng Liu, Jinwei Chen +5
Fast flow models accelerate the iterative sampling process by learning to directly predict ODE path integrals, enabling one-step or few-step generation. However, we argue that curr…
cs.CV2026
FTDMamba: Frequency-Assisted Temporal Dilation Mamba for Unmanned Aerial Vehicle Video Anomaly Detection
Cheng-Zhuang Liu, Si-Bao Chen, Qing-Ling Shu +3
Recent advances in video anomaly detection (VAD) mainly focus on ground-based surveillance or unmanned aerial vehicle (UAV) videos with static backgrounds, whereas research on UAV…
cs.CV2019
Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space
Xiaochuan Yin, Chengju Liu
For ego-motion estimation, the feature representation of the scenes is crucial. Previous methods indicate that both the low-level and semantic feature-based methods can achieve pro…