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Semantic Object Parsing with Graph LSTM
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2016
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Xiaodan Liang
Xiaohui Shen
Jiashi Feng
Liang Lin
Shuicheng Yan
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2
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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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2
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Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition
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2018
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Tianshui Chen
Zhouxia Wang
Guanbin Li
Liang Lin
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2
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Recurrent Models of Visual Attention
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2014
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Volodymyr Mnih
Nicolas Heess
Alex Graves
Koray Kavukcuoglu
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2
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Compact Bilinear Pooling
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2016
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Yang Gao
Oscar Beijbom
Ning Zhang
Trevor Darrell
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2
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014
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Karen Simonyan
Andrew Zisserman
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2
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Bird Species Categorization Using Pose Normalized Deep Convolutional Nets
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2014
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Steve Branson
Grant Van Horn
Serge Belongie
Pietro Perona
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2
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Fully Convolutional Attention Localization Networks: Efficient Attention Localization for Fine-Grained Recognition
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2016
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Xiao Liu
Tian Xia
Jiang Wang
Yuanqing Lin
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1
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Learning Convolutional Neural Networks for Graphs
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2016
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Mathias Niepert
Mohamed M. Ahmed
Konstantin Kutzkov
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1
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Performance Measures and a Data Set for Multi-target, Multi-camera Tracking
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2016
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Ergys Ristani
Francesco Solera
Roger S. Zou
Rita Cucchiara
Carlo Tomasi
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1
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Unsupervised Monocular Depth Estimation with Left-Right Consistency
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2017
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Clément Godard
Oisin Mac Aodha
Gabriel Brostow
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1
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POI: Multiple Object Tracking with High Performance Detection and Appearance Feature
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2016
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Fengwei Yu
Wenbo Li
Quanquan Li
Yu Liu
Xiaohua Shi
Junjie Yan
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1
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Tracking the Untrackable: Learning to Track Multiple Cues with Long-Term Dependencies
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2017
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Amir Sadeghian
Alexandre Alahi
Silvio Savarese
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1
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The More You Know: Using Knowledge Graphs for Image Classification
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2017
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Kenneth Marino
Ruslan Salakhutdinov
Abhinav Gupta
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1
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Simple online and realtime tracking with a deep association metric
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2017
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Nicolai Wojke
Alex Bewley
Dietrich Paulus
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1
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Fully Convolutional Attention Networks for Fine-Grained Recognition
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2016
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Xiao Liu
Tian Xia
Jiang Wang
Yi Yang
Feng Zhou
Yuanqing Lin
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1
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Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction
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2017
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Liang Lin
Lili Huang
Tianshui Chen
Yukang Gan
Hui Cheng
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1
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Internet of Things security and forensics: Challenges and opportunities
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2017
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Mauro Conti
Ali Dehghantanha
Katrin Franke
Steve Watson
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1
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Combined image- and world-space tracking in traffic scenes
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2017
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Aljoša Ošep
Wolfgang Mehner
Markus Mathias
Bastian Leibe
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1
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Multi-label Image Recognition by Recurrently Discovering Attentional Regions
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2017
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Zhouxia Wang
Tianshui Chen
Guanbin Li
Ruijia Xu
Liang Lin
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1
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Object-Part Attention Model for Fine-Grained Image Classification
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2017
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Yuxin Peng
Xiangteng He
Junjie Zhao
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1
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Online Learning with Gated Linear Networks
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2017
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Joel Veness
Tor Lattimore
Avishkar Bhoopchand
Agnieszka Grabska‐Barwińska
Christopher Mattern
Péter Tóth
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1
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Learning Differentially Private Recurrent Language Models
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2017
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H. Brendan McMahan
Daniel Ramage
Kunal Talwar
Li Zhang
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1
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Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
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2018
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Dong Yin
Yudong Chen
Kannan Ramchandran
Peter L. Bartlett
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1
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Zeno: Byzantine-suspicious stochastic gradient descent.
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2018
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Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
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1
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Federated Learning with Non-IID Data
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2018
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Yue Zhao
Meng Li
Liangzhen Lai
Naveen Suda
Damon Civin
Vikas Chandra
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1
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Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
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2018
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Kang Liu
Brendan Dolan-Gavitt
Siddharth Garg
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1
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How To Backdoor Federated Learning
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2018
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Eugene Bagdasaryan
Andreas Veit
Yiqing Hua
Deborah Estrin
Vitaly Shmatikov
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1
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Analyzing Federated Learning through an Adversarial Lens
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2018
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Arjun Nitin Bhagoji
Supriyo Chakraborty
Prateek Mittal
Seraphin Calo
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1
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MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D
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2019
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Zheng Tang
Jenq‐Neng Hwang
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1
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STRIP: A Defence Against Trojan Attacks on Deep Neural Networks
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2019
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Yansong Gao
Chang Xu
Derui Wang
Shiping Chen
Damith C. Ranasinghe
Surya Nepal
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1
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Asynchronous Byzantine Machine Learning (the case of SGD)
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2018
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Georgios Damaskinos
El Mahdi El Mhamdi
Rachid Guerraoui
Rhicheek Patra
Mahsa Taziki
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1
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Gated Graph Sequence Neural Networks
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2015
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Yujia Li
Daniel Tarlow
Marc Brockschmidt
Richard S. Zemel
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1
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Crowd Counting using Deep Recurrent Spatial-Aware Network
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2018
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Lingbo Liu
Hongjun Wang
Guanbin Li
Wanli Ouyang
Liang Lin
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1
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Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent
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2017
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Yudong Chen
Lili Su
Jiaming Xu
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1
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PifPaf: Composite Fields for Human Pose Estimation
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2019
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S. Kreiss
Lorenzo Bertoni
Alexandre Alahi
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1
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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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1
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Multi-label Image Recognition by Recurrently Discovering Attentional Regions
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2017
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Zhouxia Wang
Tianshui Chen
Guanbin Li
Ruijia Xu
Liang Lin
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1
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Situation Recognition with Graph Neural Networks
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2017
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Ruiyu Li
Makarand Tapaswi
Renjie Liao
Jiaya Jia
Raquel Urtasun
Sanja Fidler
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1
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Measuring Catastrophic Forgetting in Neural Networks
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2017
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Ronald Kemker
Marc McClure
Angelina Abitino
Tyler L. Hayes
Christopher Kanan
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1
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Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition
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2017
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Xiao Liu
Jiang Wang
Shilei Wen
Errui Ding
Yuanqing Lin
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1
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Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation
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2018
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Dan Xu
Wei Wang
Hao Tang
Hong Liu
Nicu Sebe
Elisa Ricci
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1
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Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering
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2018
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Samuel Scheidegger
Joachim Benjaminsson
Emil Rosenberg
Amrit Krishnan
Karl Granström
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1
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Convolutional Networks on Graphs for Learning Molecular Fingerprints
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2015
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David Duvenaud
Dougal Maclaurin
Jorge Aguilera‐Iparraguirre
Rafael Gómez‐Bombarelli
Timothy Hirzel
Alán Aspuru‐Guzik
Ryan P. Adams
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1
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Knowledge-guided recurrent neural network learning for task-oriented action prediction
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2017
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Liang Lin
Lili Huang
Tianshui Chen
Yukang Gan
Hui Cheng
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1
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Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking
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2018
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Sarthak Sharma
Junaid Ansari
J. Krishna Murthy
K. Madhava Krishna
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1
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Bag of Tricks and a Strong Baseline for Deep Person Re-Identification
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2019
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Hao Luo
Youzhi Gu
Xingyu Liao
Shenqi Lai
Wei Jiang
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1
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MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
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2019
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Lorenzo Bertoni
S. Kreiss
Alexandre Alahi
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1
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Can You Really Backdoor Federated Learning?
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2019
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Ananda Theertha Suresh
Brendan McMahan
Peter Kairouz
Ziteng Sun
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1
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Towards Federated Learning at Scale: System Design
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2019
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Kallista Bonawitz
Hubert Eichner
Wolfgang Grieskamp
Dzmitry Huba
Alex Ingerman
Vladimir Ivanov
Chloé Kiddon
Jakub Konečný
Stefano Mazzocchi
H. Brendan McMahan
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1
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