Point-NeRF: Point-based Neural Radiance Fields

1 code implementation • CVPR 2022 • Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, Ulrich Neumann

Point-NeRF combines the advantages of these two approaches by using neural 3D point clouds, with associated neural features, to model a radiance field.

3D Reconstruction Neural Rendering

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

1 code implementation • 4 Dec 2021 • Qiangeng Xu, Yiqi Zhong, Ulrich Neumann

Finally, the probability of occupancy is also integrated into a proposal refinement module to generate the final bounding boxes.

3D Object Detection object-detection +1

Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

1 code implementation • 19 Oct 2021 • Cho-Ying Wu, Qiangeng Xu, Ulrich Neumann

Our synergy process leverages a representation cycle for 3DMM parameters and 3D landmarks.

3D Face Alignment 3D FACE MODELING +3

SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation

no code implementations • ICCV 2021 • Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov

On the Waymo Open Dataset and KITTI, SPG improves 3D detection results of these two methods across all categories.

3D Object Detection Autonomous Driving +2

Accurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Network

1 code implementation • 16 Apr 2021 • Cho-Ying Wu, Qiangeng Xu, Ulrich Neumann

This work focuses on complete 3D facial geometry prediction, including 3D facial alignment via 3D face modeling and face orientation estimation using the proposed multi-task, multi-modal, and multi-representation landmark refinement network (M$^3$-LRN).

3D FACE MODELING

Geometry-Aware Instance Segmentation with Disparity Maps

1 code implementation • 14 Jun 2020 • Cho-Ying Wu, Xiaoyan Hu, Michael Happold, Qiangeng Xu, Ulrich Neumann

Mask regression is based on 2D, 2. 5D, and 3D ROI using the pseudo-lidar and image-based representations.

Instance Segmentation Semantic Segmentation

Grid-GCN for Fast and Scalable Point Cloud Learning

1 code implementation • CVPR 2020 • Qiangeng Xu, Xudong Sun, Cho-Ying Wu, Panqu Wang, Ulrich Neumann

Compared with popular sampling methods such as Farthest Point Sampling (FPS) and Ball Query, CAGQ achieves up to 50X speed-up.

Point Cloud Classification

DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

3 code implementations • NeurIPS 2019 • Qiangeng Xu, Weiyue Wang, Duygu Ceylan, Radomir Mech, Ulrich Neumann

Reconstructing 3D shapes from single-view images has been a long-standing research problem.

3D Reconstruction Single-View 3D Reconstruction

Stochastic Dynamics for Video Infilling

no code implementations • 1 Sep 2018 • Qiangeng Xu, Hanwang Zhang, Weiyue Wang, Peter N. Belhumeur, Ulrich Neumann

In this paper, we introduce a stochastic dynamics video infilling (SDVI) framework to generate frames between long intervals in a video.

Report: Dynamic Eye Movement Matching and Visualization Tool in Neuro Gesture

1 code implementation • 27 Dec 2017 • Qiangeng Xu, John Kender

In the research of the impact of gestures using by a lecturer, one challenging task is to infer the attention of a group of audiences.

EEG

Generative Cooperative Net for Image Generation and Data Augmentation

no code implementations • 8 May 2017 • Qiangeng Xu, Zengchang Qin, Tao Wan

In this paper, we explore a generative model for the task of generating unseen images with desired features.

Data Augmentation Image Generation