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Understanding deep image representations by inverting them
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2015
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Aravindh Mahendran
Andrea Vedaldi
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1
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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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1
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3D Bounding Box Estimation Using Deep Learning and Geometry
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2017
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Arsalan Mousavian
Dragomir Anguelov
John P. Flynn
Jana Košecká
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1
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Feature Pyramid Networks for Object Detection
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2017
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Tsung-Yi Lin
Piotr Dollár
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
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1
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Improved Regularization of Convolutional Neural Networks with Cutout
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2017
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Terrance DeVries
Graham W. Taylor
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1
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Convergence Rate of Block-Coordinate Maximization Burer-Monteiro Method for Solving Large SDPs
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2018
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Murat A. Erdogdu
Asuman Ozdaglar
Pablo A. Parrilo
N. Denizcan Vanlı
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1
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Stochastic Variance-Reduced Heavy Ball Power Iteration
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2019
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Cheol‐Min Kim
Diego Klabjan
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1
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PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud
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2019
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Shaoshuai Shi
Xiaogang Wang
Hongsheng Li
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1
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Revealing Scenes by Inverting Structure From Motion Reconstructions
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2019
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Francesco Pittaluga
Sanjeev J. Koppal
Sing Bing Kang
Sudipta N. Sinha
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1
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Temporal Ensembling for Semi-Supervised Learning
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2016
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Samuli Laine
Timo Aila
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1
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Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
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2017
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Antti Tarvainen
Harri Valpola
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1
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Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
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2019
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Yan Wang
Wei‐Lun Chao
Divyansh Garg
Bharath Hariharan
Mark Campbell
Kilian Q. Weinberger
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1
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MVSNet: Depth Inference for Unstructured Multi-view Stereo
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2018
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Yao Yao
Zixin Luo
Shiwei Li
Tian Fang
Long Quan
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1
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Feature Space Transfer for Data Augmentation
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2018
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Bo Liu
Xudong Wang
Mandar Dixit
Roland Kwitt
Nuno Vasconcelos
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1
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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2017
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Charles R. Qi
Yi Li
Hao Su
Leonidas Guibas
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1
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Distributed learning of deep neural network over multiple agents
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2018
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Otkrist Gupta
Ramesh Raskar
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1
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VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
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2018
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Yin Zhou
Oncel Tuzel
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1
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Inverting Visual Representations with Convolutional Networks
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2016
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Alexey Dosovitskiy
Thomas Brox
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1
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Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
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2018
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Takeru Miyato
Shin‐ichi Maeda
Masanori Koyama
Shin Ishii
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1
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PointPillars: Fast Encoders for Object Detection From Point Clouds
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2019
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Alex Lang
Sourabh Vora
Holger Caesar
Lubing Zhou
Jiong Yang
Oscar Beijbom
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1
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Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
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2019
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Benjin Zhu
Zhengkai Jiang
Xiangxin Zhou
Zeming Li
Gang Yu
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1
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Disentangling Monocular 3D Object Detection
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2019
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Andrea Simonelli
Samuel Rota Bulò
Lorenzo Porzi
Manuel López-Antequera
Peter Kontschieder
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1
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A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
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2019
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Varun Kumar
Hadrien Glaude
Cyprien de Lichy
Wlliam Campbell
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1
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CenterNet: Keypoint Triplets for Object Detection
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2019
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Kaiwen Duan
Song Bai
Lingxi Xie
Honggang Qi
Qingming Huang
Qi Tian
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1
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M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
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2019
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Garrick Brazil
Xiaoming Liu
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1
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FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
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2020
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Kihyuk Sohn
David Berthelot
Chun‐Liang Li
Zizhao Zhang
Nicholas Carlini
Ekin D. Cubuk
А.В. Куракин
Han Zhang
Colin Raffel
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1
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Federated Learning with Matched Averaging
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2020
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Hongyi Wang
Mikhail Yurochkin
Yuekai Sun
Dimitris Papailiopoulos
Yasaman Khazaeni
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1
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UVeQFed: Universal Vector Quantization for Federated Learning
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2020
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Nir Shlezinger
Mingzhe Chen
Yonina C. Eldar
H. Vincent Poor
Shuguang Cui
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1
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PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
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2020
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Shaoshuai Shi
Chaoxu Guo
Li Jiang
Zhe Wang
Jianping Shi
Xiaogang Wang
Hongsheng Li
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1
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3D Packing for Self-Supervised Monocular Depth Estimation
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2020
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Vitor Guizilini
Rareș Ambruș
Sudeep Pillai
Allan Raventos
Adrien Gaidon
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1
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Train in Germany, Test in the USA: Making 3D Object Detectors Generalize
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2020
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Yan Wang
Xiangyu Chen
Yurong You
Li Erran Li
Bharath Hariharan
Mark Campbell
Kilian Q. Weinberger
Wei‐Lun Chao
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1
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SESS: Self-Ensembling Semi-Supervised 3D Object Detection
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2020
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Na Zhao
Tat‐Seng Chua
Gim Hee Lee
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1
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Scalability in Perception for Autonomous Driving: Waymo Open Dataset
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2020
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Pei Sun
Henrik Kretzschmar
Xerxes Dotiwalla
Aurélien Chouard
Vijaysai Patnaik
Paul Tsui
James C. Y. Guo
Yin Zhou
Yuning Chai
Benjamin Caine
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1
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SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
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2020
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Zechen Liu
Zizhang Wu
Roland Tóth
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1
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nuScenes: A Multimodal Dataset for Autonomous Driving
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2020
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Holger Caesar
Varun Bankiti
Alex Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yu Pan
Giancarlo Baldan
Oscar Beijbom
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1
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Randaugment: Practical automated data augmentation with a reduced search space
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2020
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Ekin D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
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1
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One Thousand and One Hours: Self-driving Motion Prediction Dataset
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2020
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John A. Houston
Guido Zuidhof
Luca Bergamini
Yawei Ye
Long Chen
Ashesh Jain
Sammy Omari
Vladimir I. Iglovikov
Peter Ondrúška
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1
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Feature Space Augmentation for Long-Tailed Data
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2020
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Peng Chu
Xiao Bian
Shaopeng Liu
Haibin Ling
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1
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Deep feature augmentation for occluded image classification
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2020
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Feng Cen
Xiaoyu Zhao
LI Wu-zhuang
Guanghui Wang
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1
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Kinematic 3D Object Detection in Monocular Video
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2020
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Garrick Brazil
Gerard Pons‐Moll
Xiaoming Liu
Bernt Schiele
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1
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Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D
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2020
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Jonah Philion
Sanja Fidler
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1
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Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
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2021
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Jiajun Deng
Shaoshuai Shi
Peiwei Li
Wengang Zhou
Yanyong Zhang
Houqiang Li
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1
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Center-based 3D Object Detection and Tracking
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2021
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Tianwei Yin
Xingyi Zhou
Philipp Krähenbühl
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1
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Categorical Depth Distribution Network for Monocular 3D Object Detection
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2021
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Cody Reading
Ali Harakeh
Julia Chae
Steven L. Waslander
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1
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ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
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2021
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Jihan Yang
Shaoshuai Shi
Zhe Wang
Hongsheng Li
Xiaojuan Qi
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1
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3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
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2021
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He Wang
Yezhen Cong
Or Litany
Yue Gao
Leonidas Guibas
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1
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Geometry Uncertainty Projection Network for Monocular 3D Object Detection
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2021
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Yan Lu
Xinzhu Ma
Lei Yang
Tianzhu Zhang
Yating Liu
Qi Chu
Junjie Yan
Wanli Ouyang
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1
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FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
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2021
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Tai Wang
Xinge Zhu
Jiangmiao Pang
Dahua Lin
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1
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Is Pseudo-Lidar needed for Monocular 3D Object detection?
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2021
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Dennis Park
Rareș Ambruș
Vitor Guizilini
Jie Li
Adrien Gaidon
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1
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Exploiting Explanations for Model Inversion Attacks
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2021
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Xuejun Zhao
Wencan Zhang
Xiaokui Xiao
Brian Y. Lim
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1
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