activity
20182022
most citedVisualizing the Invisible: Occluded Vehicle Segmentation and Recovery

6 citations · 12 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CV2022

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…

cs.LG20225 cited

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…

cs.LG2020

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…

cs.LG2020

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…

cs.LG2020

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…

cs.CV20196 cited

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…