21 citations · 26 across the 6 of their papers we have counts for
6 papers
RoMe: Towards Large Scale Road Surface Reconstruction via Mesh Representation
Ruohong Mei, Wei Sui, Jiaxin Zhang +4
In autonomous driving applications, accurate and efficient road surface reconstruction is paramount. This paper introduces RoMe, a novel framework designed for the robust reconstru…
Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification
Jingbo Sun, Li Yang, Jiaxin Zhang +4
Novelty detection aims to automatically identify out-of-distribution (OOD) data, without any prior knowledge of them. It is a critical step in data monitoring, behavior analysis an…
Road-aware Monocular Structure from Motion and Homography Estimation
Wei Sui, Teng Chen, Jiaxin Zhang +2
Structure from motion (SFM) and ground plane homography estimation are critical to autonomous driving and other robotics applications. Recently, much progress has been made in usin…
On the Stochastic Stability of Deep Markov Models
Ján Drgoňa, Sayak Mukherjee, Jiaxin Zhang +2
Deep Markov models (DMM) are generative models that are scalable and expressive generalization of Markov models for representation, learning, and inference problems. However, the f…
Deep Online Correction for Monocular Visual Odometry
Jiaxin Zhang, Wei Sui, Xinggang Wang +3
In this work, we propose a novel deep online correction (DOC) framework for monocular visual odometry. The whole pipeline has two stages: First, depth maps and initial poses are ob…
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence
Jinglan Liu, Jiaxin Zhang, Yukun Ding +3
This work explores the binarization of the deconvolution-based generator in a GAN for memory saving and speedup of image construction. Our study suggests that different from convol…