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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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3
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Going deeper with convolutions
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2015
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Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
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2
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Cascade R-CNN: Delving Into High Quality Object Detection
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2018
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Zhaowei Cai
Nuno Vasconcelos
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2
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ATOM: Accurate Tracking by Overlap Maximization
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2019
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Martin Danelljan
Goutam Bhat
Fahad Shahbaz Khan
Michael Felsberg
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2
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Acquisition of Localization Confidence for Accurate Object Detection
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2018
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Borui Jiang
Ruixuan Luo
Jiayuan Mao
Tete Xiao
Yuning Jiang
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2
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Distractor-Aware Siamese Networks for Visual Object Tracking
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2018
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Zheng Zhu
Qiang Wang
Bo Li
Wei Wu
Junjie Yan
Weiming Hu
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2
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ECO: Efficient Convolution Operators for Tracking
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2017
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Martin Danelljan
Goutam Bhat
Fahad Shahbaz Khan
Michael Felsberg
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2
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FCOS: Fully Convolutional One-Stage Object Detection
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2019
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Zhi Tian
Chunhua Shen
Hao Chen
Tong He
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2
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GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
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2019
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Lianghua Huang
Xin Zhao
Kaiqi Huang
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2
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Learning Multi-domain Convolutional Neural Networks for Visual Tracking
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2016
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Hyeonseob Nam
Bohyung Han
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2
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DenseBox: Unifying Landmark Localization with End to End Object Detection
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2015
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Lichao Huang
Yi Yang
Yafeng Deng
Yinan Yu
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2
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High-Speed Tracking with Kernelized Correlation Filters
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2014
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JoĂŁo F. Henriques
Rui Caseiro
Pedro Martins
Jorge Batista
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2
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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2015
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Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
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2
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You Only Look Once: Unified, Real-Time Object Detection
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2016
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Joseph Redmon
Santosh Divvala
Ross Girshick
Ali Farhadi
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2
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SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks
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2019
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Bo Li
Wei Wu
Qiang Wang
Fangyi Zhang
Junliang Xing
Junjie Yan
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2
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TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
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2018
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Matthias MĂźller
Adel Bibi
Silvio Giancola
Salman Alsubaihi
Bernard Ghanem
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2
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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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An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection
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2019
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Youngwan Lee
Joongâwon Hwang
Sangrok Lee
Yuseok Bae
Jongyoul Park
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1
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CornerNet: Detecting Objects as Paired Keypoints
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2018
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Hei Law
Jia Deng
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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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UnitBox
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2016
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Jiahui Yu
Yuning Jiang
Zhangyang Wang
Zhimin Cao
Thomas S. Huang
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1
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SSD: Single Shot MultiBox Detector
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2016
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Wei Liu
Dragomir Anguelov
Dumitru Erhan
Christian Szegedy
Scott Reed
Cheng-Yang Fu
Alexander C. Berg
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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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Center-based 3D Object Detection and Tracking
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2021
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Tianwei Yin
Xingyi Zhou
Philipp Krähenbßhl
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1
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Delving into Localization Errors for Monocular 3D Object Detection
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2021
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Xinzhu Ma
Yinmin Zhang
Dan Xu
Dongzhan Zhou
Shuai Yi
Haojie Li
Wanli Ouyang
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1
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General Instance Distillation for Object Detection
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2021
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Xing Dai
Zeren Jiang
Zhao Wu
Yiping Bao
Zhicheng Wang
Si Liu
Erjin Zhou
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1
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Self-Supervised Pillar Motion Learning for Autonomous Driving
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2021
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Chenxu Luo
Xiaodong Yang
Alan Yuille
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1
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Exploring Simple 3D Multi-Object Tracking for Autonomous Driving
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2021
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Chenxu Luo
Xiaodong Yang
Alan Yuille
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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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Structured Birdâs-Eye-View Traffic Scene Understanding from Onboard Images
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2021
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YiÄit Baran Can
Alexander Liniger
Danda Pani Paudel
Luc Van Gool
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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
RareČ AmbruČ
Vitor Guizilini
Jie Li
Adrien Gaidon
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1
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BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection
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2022
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Junjie Huang
Guan Huang
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1
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PETR: Position Embedding Transformation for Multi-view 3D Object Detection
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2022
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Yingfei Liu
Tiancai Wang
Xiangyu Zhang
Jian Sun
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1
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BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View
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2021
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Junjie Huang
Guan Huang
Zheng Zhu
Yun Ye
Dalong Du
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1
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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2019
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Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James T. Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
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1
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Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving
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2022
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Eli Bronstein
Mark Palatucci
Dominik Notz
Brandyn White
Alex Kuefler
Yiren Lu
Supratik Paul
Payam Nikdel
Paul Mougin
Hongge Chen
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1
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BEVFormer: Learning Birdâs-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers
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2022
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Zhiqi Li
Wenhai Wang
Hongyang Li
Enze Xie
Chonghao Sima
Tong LĂź
Yu Qiao
Jifeng Dai
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1
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Focal and Global Knowledge Distillation for Detectors
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2022
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Zhendong Yang
Zhe Li
Xiaohu Jiang
Yuan Gong
Zehuan Yuan
Danpei Zhao
Chun Yuan
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1
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BEVDepth: Acquisition of Reliable Depth for Multi-View 3D Object Detection
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2023
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Yinhao Li
Zheng Ge
Guanyi Yu
Jinrong Yang
Zengran Wang
Yukang Shi
Jianjian Sun
Zeming Li
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1
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PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds
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2023
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Jinyu Li
Chenxu Luo
Xiaodong Yang
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1
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ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals
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2023
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Xishun Wang
Tong Su
Fang Da
Xiaodong Yang
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1
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FitNets: Hints for Thin Deep Nets
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2014
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Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
Carlo Gatta
Yoshua Bengio
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1
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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2016
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Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
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1
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Distilling the Knowledge in a Neural Network
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2015
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Geoffrey E. Hinton
Oriol Vinyals
Jay B. Dean
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1
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ImageNet Large Scale Visual Recognition Challenge
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2015
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Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
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1
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Fully-Convolutional Siamese Networks for Object Tracking
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2016
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Luca Bertinetto
Jack Valmadre
JoĂŁo F. Henriques
Andrea Vedaldi
Philip H. S. Torr
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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 DollĂĄr
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
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1
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YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
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2017
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Esteban Real
Jonathon Shlens
Stefano Mazzocchi
Xin Pan
Vincent Vanhoucke
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1
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Squeeze-and-Excitation Networks
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2018
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Jie Hu
Li Shen
Gang Sun
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1
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