Charles R. Qi | DeepAI

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∙ 04/04/2023

GINA-3D: Learning to Generate Implicit Neural Assets in the Wild

Modeling the 3D world from sensor data for simulation is a scalable way ...

0 Bokui Shen, et al. ∙

∙ 12/06/2022

NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors

2D-to-3D reconstruction is an ill-posed problem, yet humans are good at ...

0 Congyue Deng, et al. ∙

∙ 10/15/2022

Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining

Continued improvements in deep learning architectures have steadily adva...

0 Chiyu "Max" Jiang, et al. ∙

∙ 10/14/2022

LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds

Semantic segmentation of LiDAR point clouds is an important task in auto...

2 Minghua Liu, et al. ∙

∙ 10/14/2022

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving

Learning-based perception and prediction modules in modern autonomous dr...

0 Mahyar Najibi, et al. ∙

∙ 10/10/2022

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds

Developing neural models that accurately understand objects in 3D point ...

0 Chenxi Liu, et al. ∙

∙ 06/08/2022

Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking

Monocular image-based 3D perception has become an active research area i...

6 Longlong Jing, et al. ∙

∙ 06/02/2022

RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding

Lidars are depth measuring sensors widely used in autonomous driving and...

0 Xuanyu Zhou, et al. ∙

∙ 05/11/2022

Multi-Class 3D Object Detection with Single-Class Supervision

While multi-class 3D detectors are needed in many robotics applications,...

0 Mao Ye, et al. ∙

∙ 12/14/2021

Revisiting 3D Object Detection From an Egocentric Perspective

3D object detection is a key module for safety-critical robotics applica...

0 Boyang Deng, et al. ∙

∙ 08/15/2021

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

In autonomous driving, a LiDAR-based object detector should perform reli...

0 Qiangeng Xu, et al. ∙

∙ 03/08/2021

Offboard 3D Object Detection from Point Cloud Sequences

While current 3D object recognition research mostly focuses on the real-...

4 Charles R. Qi, et al. ∙

∙ 07/21/2020

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

Arguably one of the top success stories of deep learning is transfer lea...

11 Saining Xie, et al. ∙

∙ 07/20/2020

Object-Centric Multi-View Aggregation

We present an approach for aggregating a sparse set of views of an objec...

18 Shubham Tulsiani, et al. ∙

∙ 01/29/2020

ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes

3D object detection has seen quick progress thanks to advances in deep l...

15 Charles R. Qi, et al. ∙

∙ 04/21/2019

Deep Hough Voting for 3D Object Detection in Point Clouds

Current 3D object detection methods are heavily influenced by 2D detecto...

18 Charles R. Qi, et al. ∙

∙ 04/18/2019

KPConv: Flexible and Deformable Convolution for Point Clouds

We present Kernel Point Convolution (KPConv), a new design of point conv...

30 Hugues Thomas, et al. ∙

∙ 09/19/2018

Generating 3D Adversarial Point Clouds

Machine learning models especially deep neural networks (DNNs) have been...

0 Chong Xiang, et al. ∙

∙ 06/04/2018

Learning Scene Flow in 3D Point Clouds

Many applications in robotics and human-computer interaction can benefit...

0 Xingyu Liu, et al. ∙

∙ 02/14/2018

Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks

The past few years have witnessed growth in the size and computational r...

0 Zhihao Jia, et al. ∙

∙ 11/22/2017

Frustum PointNets for 3D Object Detection from RGB-D Data

While object recognition on 2D images is getting more and more mature, 3...

0 Charles R. Qi, et al. ∙

∙ 06/07/2017

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Few prior works study deep learning on point sets. PointNet by Qi et al....

0 Charles R. Qi, et al. ∙

∙ 12/02/2016

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Point cloud is an important type of geometric data structure. Due to its...

0 Charles R. Qi, et al. ∙

∙ 05/20/2016

FPNN: Field Probing Neural Networks for 3D Data

Building discriminative representations for 3D data has been an importan...

0 Yangyan Li, et al. ∙

∙ 04/12/2016

Volumetric and Multi-View CNNs for Object Classification on 3D Data

3D shape models are becoming widely available and easier to capture, mak...

0 Charles R. Qi, et al. ∙