most citedEstimation of control area in badminton doubles with pose information from top and back view drone videos

10 citations · 12 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

A Neural Network Based Teleoperation for Remote Controlled Vehicles

Ning Ding, Azim Eskandarian

Direct teleoperation of vehicles faces critical technical bottlenecks: communication latency and the operator's inability to physically perceive unmodeled environmental disturbance…

cs.CL2023★ 2 cited

Improving Audio-Visual Speech Recognition by Lip-Subword Correlation Based Visual Pre-training and Cross-Modal Fusion Encoder

Yusheng Dai, Hang Chen, Jun Du +4

In recent research, slight performance improvement is observed from automatic speech recognition systems to audio-visual speech recognition systems in the end-to-end framework with…

cs.CV2023

SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving

Ning Ding, Ce Zhang, Azim Eskandarian

Object detection (OD) is crucial to autonomous driving. On the other hand, unknown objects, which have not been seen in training sample set, are one of the reasons that hinder auto…

cs.CV2023★ 10 cited

Estimation of control area in badminton doubles with pose information from top and back view drone videos

Ning Ding, Kazuya Takeda, Wenhui Jin +2

The application of visual tracking to the performance analysis of sports players in dynamic competitions is vital for effective coaching. In doubles matches, coordinated positionin…

cs.CV2023

Sparse Depth-Guided Attention for Accurate Depth Completion: A Stereo-Assisted Monitored Distillation Approach

Jia-Wei Guo, Hung-Chyun Chou, Sen-Hua Zhu +3

This paper proposes a novel method for depth completion, which leverages multi-view improved monitored distillation to generate more precise depth maps. Our approach builds upon th…