Search Results for author:
Found 11 papers, 3 papers with code
Semi-Supervised Domain Generalization in Real World:New Benchmark and Strong Baseline
In this paper, we introduce a novel task, termed as semi-supervised domain generalization, to study how to interact the labeled and unlabeled domains, and establish two benchmarks including a web-crawled dataset, which poses a novel yet realistic challenge to push the limits of existing technologies.
From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation
Ultra-high resolution image segmentation has raised increasing interests in recent years due to its realistic applications.
Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation
Furthermore, our model runs at 35 FPS on a single GPU, which is efficient and applicable for real-time panorama HD map reconstruction.
Autonomous Driving
Monocular Cross-View Road Scene Parsing(Road)
+1
A Homotopy Coordinate Descent Optimization Method for $l_0$-Norm Regularized Least Square Problem
This paper proposes a homotopy coordinate descent (HCD) method to solve the $l_0$-norm regularized least square ($l_0$-LS) problem for compressed sensing, which combine the homotopy technique with a variant of coordinate descent method.
Joint Adaptive Graph and Structured Sparsity Regularization for Unsupervised Feature Selection
After optimized, a subset of optimal features will be selected in group, and the number of selected features will be determined automatically.
Robust Multi-class Feature Selection via $l_{2,0}$-Norm Regularization Minimization
Feature selection is an important data pre-processing in data mining and machine learning, which can reduce feature size without deteriorating model's performance.
An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs
The upper bound for the proposed unitization is noise-free and only dominated by the parameter.
Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery
We conduct comparison experiments on this dataset and demonstrate that our model outperforms the state-of-the-art in tasks of recovering segmentation mask and appearance for occluded vehicles.
Enhancement Mask for Hippocampus Detection and Segmentation
Detection and segmentation of the hippocampal structures in volumetric brain images is a challenging problem in the area of medical imaging.
An Intelligent Extraversion Analysis Scheme from Crowd Trajectories for Surveillance
To our best knowledge, this is the first attempt to analyze individual extraversion of crowd motions based on trajectories.
Deformable Object Tracking with Gated Fusion
In addition, we also propose a gated fusion scheme to control how the variations captured by the deformable convolution affect the original appearance.
