activity
20182021
most citedStartNet: Online Detection of Action Start in Untrimmed Videos

11 citations · 14 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV20211 cited

Robustness Evaluation of Transformer-based Form Field Extractors via Form Attacks

Le Xue, Mingfei Gao, Zeyuan Chen +2

We propose a novel framework to evaluate the robustness of transformer-based form field extraction methods via form attacks. We introduce 14 novel form transformations to evaluate…

cs.CV20202 cited

InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling

Jun Wang, Shiyi Lan, Mingfei Gao +1

Real-time 3D object detection is crucial for autonomous cars. Achieving promising performance with high efficiency, voxel-based approaches have received considerable attention. How…

cs.LG2019

Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost

Mingfei Gao, Zizhao Zhang, Guo Yu +3

Active learning (AL) combines data labeling and model training to minimize the labeling cost by prioritizing the selection of high value data that can best improve model performanc…

cs.CV2019

WSLLN: Weakly Supervised Natural Language Localization Networks

Mingfei Gao, Larry S. Davis, Richard Socher +1

We propose weakly supervised language localization networks (WSLLN) to detect events in long, untrimmed videos given language queries. To learn the correspondence between visual se…

cs.CV2019

Goal-oriented Object Importance Estimation in On-road Driving Videos

Mingfei Gao, Ashish Tawari, Sujitha Martin

We formulate a new problem as Object Importance Estimation (OIE) in on-road driving videos, where the road users are considered as important objects if they have influence on the c…

cs.CV201911 cited

StartNet: Online Detection of Action Start in Untrimmed Videos

Mingfei Gao, Mingze Xu, Larry S. Davis +2

We propose StartNet to address Online Detection of Action Start (ODAS) where action starts and their associated categories are detected in untrimmed, streaming videos. Previous met…