11 citations · 33 across the 7 of their papers we have counts for
7 papers
A High-Frequency Focused Network for Lightweight Single Image Super-Resolution
Xiaotian Weng, Yi Chen, Zhichao Zheng +3
Lightweight neural networks for single-image super-resolution (SISR) tasks have made substantial breakthroughs in recent years. Compared to low-frequency information, high-frequenc…
Multi-Semantic Interactive Learning for Object Detection
Shuxin Wang, Zhichao Zheng, Yanhui Gu +2
Single-branch object detection methods use shared features for localization and classification, yet the shared features are not fit for the two different tasks simultaneously. Mult…
Class-level Multiple Distributions Representation are Necessary for Semantic Segmentation
Jianjian Yin, Zhichao Zheng, Yanhui Gu +2
Existing approaches focus on using class-level features to improve semantic segmentation performance. How to characterize the relationships of intra-class pixels and inter-class pi…
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results
Liang Pan, Tong Wu, Zhongang Cai +26
As real-scanned point clouds are mostly partial due to occlusions and viewpoints, reconstructing complete 3D shapes based on incomplete observations becomes a fundamental problem f…
Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments
Junsheng Zhou, Yuwang Wang, Kaihuai Qin +1
Recently unsupervised learning of depth from videos has made remarkable progress and the results are comparable to fully supervised methods in outdoor scenes like KITTI. However, t…
Unsupervised High-Resolution Depth Learning From Videos With Dual Networks
Junsheng Zhou, Yuwang Wang, Kaihuai Qin +1
Unsupervised depth learning takes the appearance difference between a target view and a view synthesized from its adjacent frame as supervisory signal. Since the supervisory signal…
Neural Network based Deep Transfer Learning for Cross-domain Dependency Parsing
Zhentao Xia, Likai Wang, Weiguang Qu +2
In this paper, we describe the details of the neural dependency parser sub-mitted by our team to the NLPCC 2019 Shared Task of Semi-supervised do-main adaptation subtask on Cross-d…