research
∙
05/21/2023
Unsupervised Multi-view Pedestrian Detection
With the prosperity of the video surveillance, multiple visual sensors h...
share
research
∙
04/06/2023
VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision
Detecting pedestrians accurately in urban scenes is significant for real...
research
∙
07/18/2022
Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization
The success of existing video super-resolution (VSR) algorithms stems ma...
research
∙
07/15/2022
Boosting Multi-Modal E-commerce Attribute Value Extraction via Unified Learning Scheme and Dynamic Range Minimization
With the prosperity of e-commerce industry, various modalities, e.g., vi...
research
∙
12/09/2021
Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring
The success of the state-of-the-art video deblurring methods stems mainl...
research
∙
10/27/2021
SiamPolar: Semi-supervised Realtime Video Object Segmentation with Polar Representation
Video object segmentation (VOS) is an essential part of autonomous vehic...
research
∙
10/21/2020
Mutual-Supervised Feature Modulation Network for Occluded Pedestrian Detection
State-of-the-art pedestrian detectors have achieved significant progress...
research
∙
09/07/2020
Stem-leaf segmentation and phenotypic trait extraction of maize shoots from three-dimensional point cloud
Nowadays, there are many approaches to acquire three-dimensional (3D) po...
research
∙
10/10/2019
Machine learning driven synthesis of few-layered WTe2
Reducing the lateral scale of two-dimensional (2D) materials to one-dime...
research
∙
04/03/2019
Semantic Bilinear Pooling for Fine-Grained Recognition
Fine-grained recognition, e.g., vehicle identification or bird classific...
research
∙
07/31/2018