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. 1712.02294
  4. Cited By
Joint 3D Proposal Generation and Object Detection from View Aggregation

Joint 3D Proposal Generation and Object Detection from View Aggregation

6 December 2017
Jason Ku
Melissa Mozifian
Jungwook Lee
Ali Harakeh
Steven Waslander
    3DPC
ArXivPDFHTML

Papers citing "Joint 3D Proposal Generation and Object Detection from View Aggregation"

50 / 206 papers shown
Title
SS3D: Single Shot 3D Object Detector
SS3D: Single Shot 3D Object Detector
Aniket Limaye
Manu Mathew
S. Nagori
P. Swami
Debapriya Maji
Kumar Desappan
3DPC
6
4
0
30 Apr 2020
YOLO and K-Means Based 3D Object Detection Method on Image and Point
  Cloud
YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud
Xuanyu Yin
Y. Sasaki
Weimin Wang
K. Shimizu
3DPC
14
4
0
21 Apr 2020
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A
  Review
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
Yaodong Cui
Ren‐Hao Chen
Wenbo Chu
Long Chen
Daxin Tian
Ying Li
Dongpu Cao
3DPC
32
384
0
10 Apr 2020
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss
David J. Griffiths
Jan Boehm
Tobias Ritschel
3DPC
19
8
0
06 Apr 2020
Quantifying Data Augmentation for LiDAR based 3D Object Detection
Quantifying Data Augmentation for LiDAR based 3D Object Detection
Martin Hahner
Dengxin Dai
Alexander Liniger
Luc Van Gool
3DPC
24
49
0
03 Apr 2020
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
Chiho Choi
Joon Hee Choi
Srikanth Malla
Jiachen Li
38
65
0
01 Apr 2020
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds
  Semantic Segmentation
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
Yang Zhang
Zixiang Zhou
P. David
Xiangyu Yue
Zerong Xi
Boqing Gong
H. Foroosh
3DPC
15
452
0
31 Mar 2020
GeoGraph: Learning graph-based multi-view object detection with
  geometric cues end-to-end
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end
A. Nassar
Stefano Dáronco
Sébastien Lefèvre
Jan Dirk Wegner
ObjD
22
3
0
23 Mar 2020
Deep Neural Network Perception Models and Robust Autonomous Driving
  Systems
Deep Neural Network Perception Models and Robust Autonomous Driving Systems
M. Shafiee
Ahmadreza Jeddi
Amir Nazemi
Paul Fieguth
A. Wong
OOD
22
15
0
04 Mar 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
156
737
0
02 Mar 2020
3D Point Cloud Processing and Learning for Autonomous Driving
3D Point Cloud Processing and Learning for Autonomous Driving
Siheng Chen
Baoan Liu
Chen Feng
Carlos Vallespi-Gonzalez
Carl K. Wellington
3DPC
53
164
0
01 Mar 2020
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection
Maosheng Ye
Shuangjie Xu
Tongyi Cao
3DPC
13
191
0
29 Feb 2020
3DSSD: Point-based 3D Single Stage Object Detector
3DSSD: Point-based 3D Single Stage Object Detector
Zetong Yang
Yanan Sun
Shu-Lin Liu
Jiaya Jia
3DPC
34
927
0
24 Feb 2020
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera
  3D Object Detection
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection
Irene Cortés
Jorge Beltrán
A. D. L. Escalera
F. García
3DPC
29
8
0
19 Feb 2020
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D
  Vehicle Detection from Point Cloud
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
Hongwei Yi
Shaoshuai Shi
Mingyu Ding
Jiankai Sun
Kui Xu
Hui Zhou
Zhe Wang
Sheng Li
Guoping Wang
3DPC
83
56
0
13 Feb 2020
DSGN: Deep Stereo Geometry Network for 3D Object Detection
DSGN: Deep Stereo Geometry Network for 3D Object Detection
Yilun Chen
Shu-Lin Liu
Xiaoyong Shen
Jiaya Jia
3DPC
18
197
0
10 Jan 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
1,743
0
31 Dec 2019
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via
  Firing of Hotspots
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots
Qi Chen
Lin Sun
Zhixin Wang
K. Jia
Alan Yuille
3DPC
167
169
0
30 Dec 2019
What You See is What You Get: Exploiting Visibility for 3D Object
  Detection
What You See is What You Get: Exploiting Visibility for 3D Object Detection
Peiyun Hu
Jason Ziglar
David Held
Deva Ramanan
3DPC
22
116
0
10 Dec 2019
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
Mingyu Ding
Yuqi Huo
Hongwei Yi
Zhe Wang
Jianping Shi
Zhiwu Lu
Ping Luo
3DPC
34
311
0
10 Dec 2019
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
Abdullah Hamdi
Sara Rojas
Ali K. Thabet
Bernard Ghanem
AAML
3DPC
25
127
0
01 Dec 2019
PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based
  Attentive Cont-conv Fusion Module
PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module
Liang Xie
Chao Xiang
Zhengxu Yu
Guodong Xu
Zheng Yang
Deng Cai
Xiaofei He
3DPC
17
203
0
14 Nov 2019
An Alternative Probabilistic Interpretation of the Huber Loss
An Alternative Probabilistic Interpretation of the Huber Loss
Gregory P. Meyer
16
102
0
05 Nov 2019
Learning an Uncertainty-Aware Object Detector for Autonomous Driving
Learning an Uncertainty-Aware Object Detector for Autonomous Driving
Gregory P. Meyer
Niranjan Thakurdesai
UQCV
17
60
0
24 Oct 2019
Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features
  for 3D Object Detection
Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection
Yonglin Tian
Kunfeng Wang
Yuang Wang
Yulin Tian
Zilei Wang
Fei-Yue Wang
3DPC
17
20
0
10 Oct 2019
Patch Refinement -- Localized 3D Object Detection
Patch Refinement -- Localized 3D Object Detection
Johannes Lehner
Andreas Mitterecker
Thomas Adler
M. Hofmarcher
Bernhard Nessler
Sepp Hochreiter
3DPC
24
46
0
09 Oct 2019
Range Adaptation for 3D Object Detection in LiDAR
Range Adaptation for 3D Object Detection in LiDAR
Ze Wang
Sihao Ding
Ying Li
Minming Zhao
Sohini Roychowdhury
Andreas Wallin
Guillermo Sapiro
Qiang Qiu
3DPC
13
27
0
26 Sep 2019
Object-Centric Stereo Matching for 3D Object Detection
Object-Centric Stereo Matching for 3D Object Detection
Alex D. Pon
Jason Ku
Chengyao Li
Steven L. Waslander
3DPC
21
85
0
17 Sep 2019
A*3D Dataset: Towards Autonomous Driving in Challenging Environments
A*3D Dataset: Towards Autonomous Driving in Challenging Environments
Quang-Cuong Pham
P. Sevestre
R. Pahwa
Huijing Zhan
C. H. Pang
Yuda Chen
A. Mustafa
V. Chandrasekhar
Jie Lin
3DPC
3DV
17
142
0
17 Sep 2019
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
Zetong Yang
Yanan Sun
Shu-Lin Liu
Xiaoyong Shen
Jiaya Jia
3DPC
11
736
0
22 Jul 2019
Class-specific Anchoring Proposal for 3D Object Recognition in LIDAR and
  RGB Images
Class-specific Anchoring Proposal for 3D Object Recognition in LIDAR and RGB Images
Amir Hossein Raffiee
H. Irshad
3DPC
15
6
0
22 Jul 2019
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving
Mohammed Abdou
Mahmoud Elkhateeb
Ibrahim Sobh
Ahmad El-Sallab
3DPC
12
5
0
26 Jun 2019
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
Tobias Gruber
Mario Bijelic
Felix Heide
W. Ritter
Klaus C. J. Dietmayer
MDE
3DV
33
29
0
21 Jun 2019
aUToTrack: A Lightweight Object Detection and Tracking System for the
  SAE AutoDrive Challenge
aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge
Keenan Burnett
S. Samavi
Steven L. Waslander
T. Barfoot
Angela P. Schoellig
11
25
0
21 May 2019
GAPNet: Graph Attention based Point Neural Network for Exploiting Local
  Feature of Point Cloud
GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud
Can Chen
L. Z. Fragonara
Antonios Tsourdos
3DPC
11
86
0
21 May 2019
Multimodal 3D Object Detection from Simulated Pretraining
Multimodal 3D Object Detection from Simulated Pretraining
Åsmund Brekke
Fredrik Vatsendvik
Frank Lindseth
3DPC
22
17
0
19 May 2019
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection
Lijie Liu
Jiwen Lu
Chunjing Xu
Qi Tian
Jie Zhou
3DPC
14
155
0
26 Apr 2019
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation
Gregory P. Meyer
Jake Charland
Darshan Hegde
A. Laddha
Carlos Vallespi-Gonzalez
3DPC
23
129
0
25 Apr 2019
Transferable Semi-supervised 3D Object Detection from RGB-D Data
Transferable Semi-supervised 3D Object Detection from RGB-D Data
Y. S. Tang
Gim Hee Lee
3DPC
28
39
0
23 Apr 2019
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving
Buyu Li
Wanli Ouyang
Lu Sheng
Xingyu Zeng
Xiaogang Wang
3DPC
28
317
0
26 Mar 2019
Efficient Bird Eye View Proposals for 3D Siamese Tracking
Efficient Bird Eye View Proposals for 3D Siamese Tracking
Jesus Zarzar
Silvio Giancola
Bernard Ghanem
3DPC
16
34
0
25 Mar 2019
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object
  Detectors
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors
Ali Harakeh
Michael H. W. Smart
Steven L. Waslander
BDL
UQCV
21
115
0
09 Mar 2019
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features
  for Amodal 3D Object Detection
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection
Zhixin Wang
K. Jia
3DPC
29
440
0
05 Mar 2019
Stereo R-CNN based 3D Object Detection for Autonomous Driving
Stereo R-CNN based 3D Object Detection for Autonomous Driving
Peiliang Li
Xiaozhi Chen
Shaojie Shen
3DPC
6
514
0
26 Feb 2019
Points2Pix: 3D Point-Cloud to Image Translation using conditional
  Generative Adversarial Networks
Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks
Stefan Milz
Martin Simon
Kai Fischer
Maximilian Pöpperl
3DPC
16
11
0
26 Jan 2019
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object
  Detection for Autonomous Driving
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Yan Wang
Wei-Lun Chao
Divyansh Garg
Bharath Hariharan
M. Campbell
Kilian Q. Weinberger
3DPC
58
987
0
18 Dec 2018
Scene Recomposition by Learning-based ICP
Scene Recomposition by Learning-based ICP
Hamid Izadinia
S. M. Seitz
3DV
3DPC
17
14
0
13 Dec 2018
IPOD: Intensive Point-based Object Detector for Point Cloud
IPOD: Intensive Point-based Object Detector for Point Cloud
Zetong Yang
Yanan Sun
Shu-Lin Liu
Xiaoyong Shen
Jiaya Jia
3DPC
19
158
0
13 Dec 2018
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
Shaoshuai Shi
Xiaogang Wang
Hongsheng Li
3DPC
44
2,381
0
11 Dec 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
18
123
0
10 Sep 2018
Previous
12345
Next