activity
20232025
most citedMemory-Efficient Optical Flow via Radius-Distribution Orthogonal Cost Volume

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

PriOr-Flow: Enhancing Primitive Panoramic Optical Flow with Orthogonal View

Longliang Liu, Miaojie Feng, Junda Cheng +3

Panoramic optical flow enables a comprehensive understanding of temporal dynamics across wide fields of view. However, severe distortions caused by sphere-to-plane projections, suc…

cs.RO2024

3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter

Xiaoxiang Wang, Jiaxin Liu, Miaojie Feng +2

3D Multi-Object Tracking (MOT), a fundamental component of environmental perception, is essential for intelligent systems like autonomous driving and robotic sensing. Although Trac…

cs.CV2023

FlowDA: Unsupervised Domain Adaptive Framework for Optical Flow Estimation

Miaojie Feng, Longliang Liu, Hao Jia +2

Collecting real-world optical flow datasets is a formidable challenge due to the high cost of labeling. A shortage of datasets significantly constrains the real-world performance o…

cs.CV2023★ 1 cited

Memory-Efficient Optical Flow via Radius-Distribution Orthogonal Cost Volume

Gangwei Xu, Shujun Chen, Hao Jia +2

The full 4D cost volume in Recurrent All-Pairs Field Transforms (RAFT) or global matching by Transformer achieves impressive performance for optical flow estimation. However, their…

cs.CV2023★ 1 cited

MC-Stereo: Multi-peak Lookup and Cascade Search Range for Stereo Matching

Miaojie Feng, Junda Cheng, Hao Jia +4

Stereo matching is a fundamental task in scene comprehension. In recent years, the method based on iterative optimization has shown promise in stereo matching. However, the current…