activity
20202026
most citedA Keypoint-based Global Association Network for Lane Detection

10 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

SMTrack: State-Aware Mamba for Efficient Temporal Modeling in Visual Tracking

Yinchao Ma, Dengqing Yang, Zhangyu He +2

Visual tracking aims to automatically estimate the state of a target object in a video sequence, which is challenging especially in dynamic scenarios. Thus, numerous methods are pr…

cs.CV2025★ 4 cited

UniSOT: A Unified Framework for Multi-Modality Single Object Tracking

Yinchao Ma, Yuyang Tang, Wenfei Yang +3

Single object tracking aims to localize target object with specific reference modalities (bounding box, natural language or both) in a sequence of specific video modalities (RGB, R…

cs.CV2024

Unifying Visual and Vision-Language Tracking via Contrastive Learning

Yinchao Ma, Yuyang Tang, Wenfei Yang +3

Single object tracking aims to locate the target object in a video sequence according to the state specified by different modal references, including the initial bounding box (BBOX…

cs.CV2022★ 10 cited

A Keypoint-based Global Association Network for Lane Detection

Jinsheng Wang, Yinchao Ma, Shaofei Huang +4

Lane detection is a challenging task that requires predicting complex topology shapes of lane lines and distinguishing different types of lanes simultaneously. Earlier works follow…

cs.LG2020★ 7 cited

Interpreting and Boosting Dropout from a Game-Theoretic View

Hao Zhang, Sen Li, Yinchao Ma +3

This paper aims to understand and improve the utility of the dropout operation from the perspective of game-theoretic interactions. We prove that dropout can suppress the strength…