21 citations · 49 across the 10 of their papers we have counts for
10 papers
LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation
Haitao Yang, Zaiwei Zhang, Xiangru Huang +5
Bird's-Eye View (BEV) features are popular intermediate scene representations shared by the 3D backbone and the detector head in LiDAR-based object detectors. However, little resea…
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D Reconstruction
Zhenpei Yang, Zaiwei Zhang, Qixing Huang
Reconstructing 3D objects is an important computer vision task that has wide application in AR/VR. Deep learning algorithm developed for this task usually relies on an unrealistic…
FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction
Zhenpei Yang, Zhile Ren, Miguel Angel Bautista +3
Reconstructing an accurate 3D object model from a few image observations remains a challenging problem in computer vision. State-of-the-art approaches typically assume accurate cam…
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators
Qixing Huang, Xiangru Huang, Bo Sun +3
This paper introduces an unsupervised loss for training parametric deformation shape generators. The key idea is to enforce the preservation of local rigidity among the generated s…
Scene Synthesis via Uncertainty-Driven Attribute Synchronization
Haitao Yang, Zaiwei Zhang, Siming Yan +5
Developing deep neural networks to generate 3D scenes is a fundamental problem in neural synthesis with immediate applications in architectural CAD, computer graphics, as well as i…
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang, Rohit Girdhar, Armand Joulin +1
Pretraining on large labeled datasets is a prerequisite to achieve good performance in many computer vision tasks like 2D object recognition, video classification etc. However, pre…
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
Zaiwei Zhang, Bo Sun, Haitao Yang +1
We introduce H3DNet, which takes a colorless 3D point cloud as input and outputs a collection of oriented object bounding boxes (or BB) and their semantic labels. The critical idea…
Joint Learning of Neural Networks via Iterative Reweighted Least Squares
Zaiwei Zhang, Xiangru Huang, Qixing Huang +2
In this paper, we introduce the problem of jointly learning feed-forward neural networks across a set of relevant but diverse datasets. Compared to learning a separate network from…
Path-Invariant Map Networks
Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu +2
Optimizing a network of maps among a collection of objects/domains (or map synchronization) is a central problem across computer vision and many other relevant fields. Compared to…
Deep Generative Modeling for Scene Synthesis via Hybrid Representations
Zaiwei Zhang, Zhenpei Yang, Chongyang Ma +4
We present a deep generative scene modeling technique for indoor environments. Our goal is to train a generative model using a feed-forward neural network that maps a prior distrib…