ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1908.11069
  4. Cited By
StarNet: Targeted Computation for Object Detection in Point Clouds

StarNet: Targeted Computation for Object Detection in Point Clouds

29 August 2019
Jiquan Ngiam
Benjamin Caine
Wei Han
Brandon Yang
Yuning Chai
Pei Sun
Yin Zhou
Xinyu Yi
O. Alsharif
Patrick Nguyen
Z. Chen
Jonathon Shlens
Vijay Vasudevan
    3DPC
ArXivPDFHTML

Papers citing "StarNet: Targeted Computation for Object Detection in Point Clouds"

15 / 65 papers shown
Title
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
Rui Huang
Wanyue Zhang
Abhijit Kundu
C. Pantofaru
David A. Ross
Thomas Funkhouser
Alireza Fathi
3DPC
30
81
0
24 Jul 2020
Pillar-based Object Detection for Autonomous Driving
Pillar-based Object Detection for Autonomous Driving
Yue Wang
Alireza Fathi
Abhijit Kundu
David A. Ross
C. Pantofaru
Thomas Funkhouser
Justin Solomon
3DPC
12
216
0
20 Jul 2020
AFDet: Anchor Free One Stage 3D Object Detection
AFDet: Anchor Free One Stage 3D Object Detection
Runzhou Ge
Zhuangzhuang Ding
Yihan Hu
Yu Wang
Sijia Chen
Li Huang
Yuan Li
3DPC
20
110
0
23 Jun 2020
Center-based 3D Object Detection and Tracking
Center-based 3D Object Detection and Tracking
Tianwei Yin
Xingyi Zhou
Philipp Krahenbuhl
3DPC
28
1,558
0
19 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
49
83
0
10 Jun 2020
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint
  3D Object Detection and Motion Forecasting
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting
A. Laddha
Shivam Gautam
Gregory P. Meyer
Carlos Vallespi-Gonzalez
Carl K. Wellington
3DPC
13
16
0
21 May 2020
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object
  Detection
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection
Alex Bewley
Pei Sun
Thomas Mensink
Dragomir Anguelov
C. Sminchisescu
3DPC
25
113
0
20 May 2020
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and
  Trajectory Prediction
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction
Zhishuai Zhang
Jiyang Gao
Junhua Mao
Yukai Liu
Dragomir Anguelov
Congcong Li
3DPC
3DH
29
59
0
08 May 2020
Streaming Object Detection for 3-D Point Clouds
Streaming Object Detection for 3-D Point Clouds
Wei Han
Zhengdong Zhang
Benjamin Caine
Brandon Yang
Christoph Sprunk
O. Alsharif
Jiquan Ngiam
Vijay Vasudevan
Jonathon Shlens
Z. Chen
3DPC
27
26
0
04 May 2020
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes
Mahyar Najibi
Guangda Lai
Abhijit Kundu
Zhichao Lu
V. Rathod
Thomas Funkhouser
C. Pantofaru
David A. Ross
L. Davis
Alireza Fathi
3DPC
35
49
0
02 Apr 2020
Improving 3D Object Detection through Progressive Population Based
  Augmentation
Improving 3D Object Detection through Progressive Population Based Augmentation
Shuyang Cheng
Zhaoqi Leng
E. D. Cubuk
Barret Zoph
Chunyan Bai
...
Vijay Vasudevan
Congcong Li
Quoc V. Le
Jonathon Shlens
Dragomir Anguelov
3DPC
20
74
0
02 Apr 2020
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Shaoshuai Shi
Chaoxu Guo
Li Jiang
Zhe Wang
Jianping Shi
Xiaogang Wang
Hongsheng Li
3DPC
38
1,744
0
31 Dec 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
72
3,411
0
30 Sep 2019
nuScenes: A multimodal dataset for autonomous driving
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar
Varun Bankiti
Alex H. Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yuxin Pan
G. Baldan
Oscar Beijbom
3DPC
42
5,556
0
26 Mar 2019
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
41
987
0
21 Feb 2019
Previous
12