629 citations · 846 across the 11 of their papers we have counts for
11 papers
2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Binbin Huang, Zehao Yu, Anpei Chen +2
3D Gaussian Splatting (3DGS) has recently revolutionized radiance field reconstruction, achieving high quality novel view synthesis and fast rendering speed without baking. However…
Mip-Splatting: Alias-free 3D Gaussian Splatting
Zehao Yu, Anpei Chen, Binbin Huang +2
Recently, 3D Gaussian Splatting has demonstrated impressive novel view synthesis results, reaching high fidelity and efficiency. However, strong artifacts can be observed when chan…
DebSDF: Delving into the Details and Bias of Neural Indoor Scene Reconstruction
Yuting Xiao, Jingwei Xu, Zehao Yu +1
In recent years, the neural implicit surface has emerged as a powerful representation for multi-view surface reconstruction due to its simplicity and state-of-the-art performance.…
PlaneDepth: Self-supervised Depth Estimation via Orthogonal Planes
Ruoyu Wang, Zehao Yu, Shenghua Gao
Multiple near frontal-parallel planes based depth representation demonstrated impressive results in self-supervised monocular depth estimation (MDE). Whereas, such a representation…
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Zehao Yu, Songyou Peng, Michael Niemeyer +2
In recent years, neural implicit surface reconstruction methods have become popular for multi-view 3D reconstruction. In contrast to traditional multi-view stereo methods, these ap…
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Kashyap Chitta, Aditya Prakash, Bernhard Jaeger +3
How should we integrate representations from complementary sensors for autonomous driving? Geometry-based fusion has shown promise for perception (e.g. object detection, motion for…
PNet: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
Zehao Yu, Lei Jin, Shenghua Gao
This paper tackles the unsupervised depth estimation task in indoor environments. The task is extremely challenging because of the vast areas of non-texture regions in these scenes…
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement
Zehao Yu, Shenghua Gao
Almost all previous deep learning-based multi-view stereo (MVS) approaches focus on improving reconstruction quality. Besides quality, efficiency is also a desirable feature for MV…
Believe It or Not, We Know What You Are Looking at!
Dongze Lian, Zehao Yu, Shenghua Gao
By borrowing the wisdom of human in gaze following, we propose a two-stage solution for gaze point prediction of the target persons in a scene. Specifically, in the first stage, bo…
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding
Zehao Yu, Jia Zheng, Dongze Lian +2
Single-image piece-wise planar 3D reconstruction aims to simultaneously segment plane instances and recover 3D plane parameters from an image. Most recent approaches leverage convo…
Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions
Guosheng Hu, Yuxin Hu, Kai Yang +8
We propose a novel investment decision strategy (IDS) based on deep learning. The performance of many IDSs is affected by stock similarity. Most existing stock similarity measureme…