37 citations · 51 across the 12 of their papers we have counts for
12 papers
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection
Wenxi Liu, Qi Li, Weixiang Yang +5
HD map reconstruction is crucial for autonomous driving. LiDAR-based methods are limited due to expensive sensors and time-consuming computation. Camera-based methods usually need…
Dynamic Domain Generalization
Zhishu Sun, Zhifeng Shen, Luojun Lin +4
Domain generalization (DG) is a fundamental yet very challenging research topic in machine learning. The existing arts mainly focus on learning domain-invariant features with limit…
Semi-Supervised Domain Generalization with Evolving Intermediate Domain
Luojun Lin, Han Xie, Zhishu Sun +4
Domain Generalization (DG) aims to generalize a model trained on multiple source domains to an unseen target domain. The source domains always require precise annotations, which ca…
Ultra-high Resolution Image Segmentation via Locality-aware Context Fusion and Alternating Local Enhancement
Wenxi Liu, Qi Li, Xindai Lin +3
Ultra-high resolution image segmentation has raised increasing interests in recent years due to its realistic applications. In this paper, we innovate the widely used high-resoluti…
A Homotopy Coordinate Descent Optimization Method for -Norm Regularized Least Square Problem
Zhenzhen Sun, Yuanlong Yu
This paper proposes a homotopy coordinate descent (HCD) method to solve the -norm regularized least square (-LS) problem for compressed sensing, which combine the homotop…
Joint Adaptive Graph and Structured Sparsity Regularization for Unsupervised Feature Selection
Zhenzhen Sun, Yuanlong Yu
Feature selection is an important data preprocessing in data mining and machine learning which can be used to reduce the feature dimension without deteriorating model's performance…
Robust Multi-class Feature Selection via -Norm Regularization Minimization
Zhenzhen Sun, Yuanlong Yu
Feature selection is an important data pre-processing in data mining and machine learning, which can reduce feature size without deteriorating model's performance. Recently, sparse…
An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs
You Huang, Yuanlong Yu
Batch Normalization (BN) techniques have been proposed to reduce the so-called Internal Covariate Shift (ICS) by attempting to keep the distributions of layer outputs unchanged. Ex…
Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery
Xiaosheng Yan, Yuanlong Yu, Feigege Wang +3
In this paper, we propose a novel iterative multi-task framework to complete the segmentation mask of an occluded vehicle and recover the appearance of its invisible parts. In part…
Enhancement Mask for Hippocampus Detection and Segmentation
Dengsheng Chen, Wenxi Liu, You Huang +2
Detection and segmentation of the hippocampal structures in volumetric brain images is a challenging problem in the area of medical imaging. In this paper, we propose a two-stage 3…
Deformable Object Tracking with Gated Fusion
Wenxi Liu, Yibing Song, Dengsheng Chen +5
The tracking-by-detection framework receives growing attentions through the integration with the Convolutional Neural Networks (CNNs). Existing tracking-by-detection based methods,…
An Intelligent Extraversion Analysis Scheme from Crowd Trajectories for Surveillance
Wenxi Liu, Yuanlong Yu, Chun-Yang Zhang +2
In recent years, crowd analysis is important for applications such as smart cities, intelligent transportation system, customer behavior prediction, and visual surveillance. Unders…