Search Results for author: Jianhua Li

Found 7 papers, 5 papers with code

Case-Aware Adversarial Training

no code implementations20 Apr 2022 Mingyuan Fan, Yang Liu, Wenzhong Guo, Ximeng Liu, Jianhua Li

Specifically, the intuition stems from the fact that a very limited part of informative samples can contribute to most of model performance.

Video Annotation for Visual Tracking via Selection and Refinement

1 code implementation ICCV 2021 Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang

Deep learning based visual trackers entail offline pre-training on large volumes of video datasets with accurate bounding box annotations that are labor-expensive to achieve.

Visual Tracking

Leveraging AI and Intelligent Reflecting Surface for Energy-Efficient Communication in 6G IoT

no code implementations29 Dec 2020 Qianqian Pan, Jun Wu, Xi Zheng, Jianhua Li, Shenghong Li, Athanasios V. Vasilakos

The ever-increasing data traffic, various delay-sensitive services, and the massive deployment of energy-limited Internet of Things (IoT) devices have brought huge challenges to the current communication networks, motivating academia and industry to move to the sixth-generation (6G) network.


High-Performance Long-Term Tracking with Meta-Updater

2 code implementations CVPR 2020 Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang

Most top-ranked long-term trackers adopt the offline-trained Siamese architectures, thus, they cannot benefit from great progress of short-term trackers with online update.

Visual Tracking

Slip Detection with Combined Tactile and Visual Information

2 code implementations27 Feb 2018 Jianhua Li, Siyuan Dong, Edward Adelson

Slip detection plays a vital role in robotic manipulation and it has long been a challenging problem in the robotic community.


Deep Learning-Based Food Calorie Estimation Method in Dietary Assessment

1 code implementation10 Jun 2017 Yanchao Liang, Jianhua Li

In order to increase accuracy of detection and reduce the error of volume estimation in food calorie estimation, we present our calorie estimation method in this paper.

Computer vision-based food calorie estimation: dataset, method, and experiment

2 code implementations22 May 2017 Yanchao Liang, Jianhua Li

In this paper, we present a novel food image data set with volume and mass records of foods, and a deep learning method for food detection, to make a complete calorie estimation.

Cannot find the paper you are looking for? You can Submit a new open access paper.