activity
20132023
most citedImproving Depth Gradient Continuity in Transformers: A Comparative Study on Monocular Depth Estimation with CNN

45 citations · 51 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 2 cited

NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space

Jiawei Yao, Chuming Li, Keqiang Sun +4

Monocular 3D Semantic Scene Completion (SSC) has garnered significant attention in recent years due to its potential to predict complex semantics and geometry shapes from a single…

cs.CV2023★ 45 cited

Improving Depth Gradient Continuity in Transformers: A Comparative Study on Monocular Depth Estimation with CNN

Jiawei Yao, Tong Wu, Xiaofeng Zhang

Monocular depth estimation is an ongoing challenge in computer vision. Recent progress with Transformer models has demonstrated notable advantages over conventional CNNs in this ar…

cs.CV2023

AugDMC: Data Augmentation Guided Deep Multiple Clustering

Jiawei Yao, Enbei Liu, Maham Rashid +1

Clustering aims to group similar objects together while separating dissimilar ones apart. Thereafter, structures hidden in data can be identified to help understand data in an unsu…

math.ST2017

Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors

Wei Luo, Lingzhou Xue, Jiawei Yao +1

We consider forecasting a single time series using a large number of predictors in the presence of a possible nonlinear forecast function. Assuming that the predictors affect the r…

math.ST2015★ 2 cited

Sufficient Forecasting Using Factor Models

Jianqing Fan, Lingzhou Xue, Jiawei Yao

We consider forecasting a single time series when there is a large number of predictors and a possible nonlinear effect. The dimensionality was first reduced via a high-dimensional…

stat.ME2013★ 2 cited

Power Enhancement in High Dimensional Cross-Sectional Tests

Jianqing Fan, Yuan Liao, Jiawei Yao

We propose a novel technique to boost the power of testing a high-dimensional vector $H:\btheta=0$ against sparse alternatives where the null hypothesis is violated only by a coupl…