216 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- East China Normal UniversityCN52 papers
- Chongqing UniversityCN21 papers
- Shanxi UniversityCN21 papers
- Chinese Academy of SciencesCN18 papers
- University of Shanghai for Science and TechnologyCN11 papers
- Jinan Institute of Quantum TechnologyCN9 papers
- New York University ShanghaiCN9 papers
- University of Chinese Academy of SciencesCN8 papers
- ETH ZurichCH7 papers
- Henan Polytechnic UniversityCN7 papers
- Institute of PhysicsPL7 papers
- Paul Scherrer InstituteCH7 papers
11 papers · 1 filter
MOC-3D: Manifold-Order Consistency for Text-to-3D Generation
Chenyang Fan, Junshi Cheng, Wen Yang +5
With the burgeoning development of fields such as the Metaverse, Virtual Reality (VR), and Digital Twins, text-to-3D generation has emerged as a research hotspot in both academia a…
Ambiguity-Aware and High-Order Relation Learning for Multi-Grained Image-Text Matching
Junyu Chen, Yihua Gao, Mingyuan Ge +1
Image-text matching is crucial for bridging the semantic gap between computer vision and natural language processing. However, existing methods still face challenges in handling hi…
Lightweight Gaze Estimation Model Via Fusion Global Information
Zhang Cheng, Yanxia Wang
Deep learning-based appearance gaze estimation methods are gaining popularity due to their high accuracy and fewer constraints from the environment. However, existing high-precisio…
Greit-HRNet: Grouped Lightweight High-Resolution Network for Human Pose Estimation
Junjia Han
As multi-scale features are necessary for human pose estimation tasks, high-resolution networks are widely applied. To improve efficiency, lightweight modules are proposed to repla…
PIG: Prompt Images Guidance for Night-Time Scene Parsing
Zhifeng Xie, Rui Qiu, Sen Wang +3
Night-time scene parsing aims to extract pixel-level semantic information in night images, aiding downstream tasks in understanding scene object distribution. Due to limited labele…
LDConv: Linear deformable convolution for improving convolutional neural networks
Xin Zhang, Yingze Song, Tingting Song +4
Neural networks based on convolutional operations have achieved remarkable results in the field of deep learning, but there are two inherent flaws in standard convolutional operati…
Soil Image Segmentation Based on Mask R-CNN
Yida Chen, Kang Liu, Yi Xin +1
The complex background in the soil image collected in the field natural environment will affect the subsequent soil image recognition based on machine vision. Segmenting the soil c…
RFAConv: Receptive-Field Attention Convolution for Improving Convolutional Neural Networks
Xin Zhang, Chen Liu, Degang Yang +4
In the realm of deep learning, spatial attention mechanisms have emerged as a vital method for enhancing the performance of convolutional neural networks. However, these mechanisms…
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas
Ke Wang, Sai Ma, Junlan Chen +1
Visual odometry (VO) is a prevalent way to deal with the relative localization problem, which is becoming increasingly mature and accurate, but it tends to be fragile under challen…
A feature-supervised generative adversarial network for environmental monitoring during hazy days
Ke Wang, Siyuan Zhang, Junlan Chen +2
The adverse haze weather condition has brought considerable difficulties in vision-based environmental applications. While, until now, most of the existing environmental monitoring…
Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking
Di Yuan, Xiu Shu, Nana Fan +3
Most existing trackers are based on using a classifier and multi-scale estimation to estimate the target state. Consequently, and as expected, trackers have become more stable whil…