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A Systematic Evaluation and Benchmark for Person Re-Identification:
  Features, Metrics, and Datasets

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

31 May 2016
Srikrishna Karanam
Mengran Gou
Ziyan Wu
Angels Rates-Borras
Octavia Camps
Richard J. Radke
ArXivPDFHTML

Papers citing "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets"

34 / 184 papers shown
Title
Visual Foresight: Model-Based Deep Reinforcement Learning for
  Vision-Based Robotic Control
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
F. Ebert
Chelsea Finn
Sudeep Dasari
Annie Xie
Alex X. Lee
Sergey Levine
SSL
29
377
0
03 Dec 2018
Recurrent Flow-Guided Semantic Forecasting
Recurrent Flow-Guided Semantic Forecasting
Adam M. Terwilliger
Garrick Brazil
Xiaoming Liu
15
46
0
21 Sep 2018
Self-supervised learning of a facial attribute embedding from video
Self-supervised learning of a facial attribute embedding from video
Olivia Wiles
A. Sophia Koepke
Andrew Zisserman
CVBM
SSL
24
132
0
21 Aug 2018
Learning to Compose over Tree Structures via POS Tags
Learning to Compose over Tree Structures via POS Tags
Gehui Shen
Zhihong Deng
Ting Huang
Xi Chen
24
15
0
18 Aug 2018
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
138
305
0
11 Jun 2018
A neural network trained to predict future video frames mimics critical
  properties of biological neuronal responses and perception
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception
William Lotter
Gabriel Kreiman
David D. Cox
27
31
0
28 May 2018
Video Compression through Image Interpolation
Video Compression through Image Interpolation
Chao-Yuan Wu
Nayan Singhal
Philipp Krahenbuhl
VGen
34
316
0
18 Apr 2018
Stochastic Adversarial Video Prediction
Stochastic Adversarial Video Prediction
Alex X. Lee
Richard Y. Zhang
F. Ebert
Pieter Abbeel
Chelsea Finn
Sergey Levine
DRL
VGen
GAN
28
450
0
04 Apr 2018
Deep Appearance Maps
Deep Appearance Maps
Maxim Maximov
Laura Leal-Taixé
Mario Fritz
Tobias Ritschel
3DH
FAtt
3DV
14
33
0
03 Apr 2018
Neural Autoregressive Flows
Neural Autoregressive Flows
Chin-Wei Huang
David M. Krueger
Alexandre Lacoste
Aaron Courville
DRL
AI4CE
19
432
0
03 Apr 2018
Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds)
Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds)
F. Groh
P. Wieschollek
Hendrik P. A. Lensch
3DPC
16
107
0
20 Mar 2018
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image
  Compositing
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
Chen-Hsuan Lin
Ersin Yumer
Oliver Wang
Eli Shechtman
Simon Lucey
GAN
33
222
0
05 Mar 2018
Adaptive Graph Convolutional Neural Networks
Adaptive Graph Convolutional Neural Networks
Ruoyu Li
Sheng Wang
Feiyun Zhu
Junzhou Huang
GNN
26
746
0
10 Jan 2018
Burst Denoising with Kernel Prediction Networks
Burst Denoising with Kernel Prediction Networks
B. Mildenhall
Jonathan T. Barron
Jiawen Chen
Dillon Sharlet
Ren Ng
Robert E. Carroll
39
390
0
06 Dec 2017
Classification Driven Dynamic Image Enhancement
Classification Driven Dynamic Image Enhancement
Vivek Sharma
Ali Diba
D. Neven
M. S. Brown
Luc Van Gool
Rainer Stiefelhagen
32
66
0
20 Oct 2017
Self-Supervised Visual Planning with Temporal Skip Connections
Self-Supervised Visual Planning with Temporal Skip Connections
F. Ebert
Chelsea Finn
Alex X. Lee
Sergey Levine
SSL
40
317
0
15 Oct 2017
Learning Graph While Training: An Evolving Graph Convolutional Neural
  Network
Learning Graph While Training: An Evolving Graph Convolutional Neural Network
Ruoyu Li
Junzhou Huang
GNN
22
7
0
10 Aug 2017
SchNet: A continuous-filter convolutional neural network for modeling
  quantum interactions
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof T. Schütt
Pieter-Jan Kindermans
Huziel Enoc Sauceda Felix
Stefan Chmiela
A. Tkatchenko
K. Müller
26
1,048
0
26 Jun 2017
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
Nitika Verma
Edmond Boyer
Jakob Verbeek
3DPC
GNN
18
25
0
16 Jun 2017
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Xingjian Shi
Zhihan Gao
Leonard Lausen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
25
790
0
12 Jun 2017
Contextual Explanation Networks
Contextual Explanation Networks
Maruan Al-Shedivat
Kumar Avinava Dubey
Eric P. Xing
CML
32
82
0
29 May 2017
Dynamic Compositional Neural Networks over Tree Structure
Dynamic Compositional Neural Networks over Tree Structure
Pengfei Liu
Xipeng Qiu
Xuanjing Huang
24
31
0
11 May 2017
The Pose Knows: Video Forecasting by Generating Pose Futures
The Pose Knows: Video Forecasting by Generating Pose Futures
Jacob Walker
Kenneth Marino
Abhinav Gupta
M. Hebert
26
348
0
28 Apr 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on
  Graphs
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
M. Simonovsky
N. Komodakis
GNN
19
1,220
0
10 Apr 2017
Video Frame Interpolation via Adaptive Convolution
Video Frame Interpolation via Adaptive Convolution
Simon Niklaus
Long Mai
Feng Liu
17
497
0
22 Mar 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
30
5,251
0
17 Mar 2017
Transformation-Based Models of Video Sequences
Transformation-Based Models of Video Sequences
Joost R. van Amersfoort
A. Kannan
MarcÁurelio Ranzato
Arthur Szlam
Du Tran
Soumith Chintala
ViT
21
75
0
29 Jan 2017
Video Ladder Networks
Video Ladder Networks
Francesco Cricri
Xingyang Ni
M. Honkala
Emre B. Aksu
M. Gabbouj
25
27
0
06 Dec 2016
End-to-end Learning of Driving Models from Large-scale Video Datasets
End-to-end Learning of Driving Models from Large-scale Video Datasets
Huazhe Xu
Yang Gao
F. I. F. Richard Yu
Trevor Darrell
44
821
0
04 Dec 2016
Diet Networks: Thin Parameters for Fat Genomics
Diet Networks: Thin Parameters for Fat Genomics
Adriana Romero
P. Carrier
Akram Erraqabi
Tristan Sylvain
Alex Auvolat
Etienne Dejoie
Marc-André Legault
M. Dubé
J. Hussin
Yoshua Bengio
12
68
0
28 Nov 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
64
1,580
0
27 Sep 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross
  Convolutional Networks
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Tianfan Xue
Jiajun Wu
Katherine L. Bouman
Bill Freeman
37
416
0
09 Jul 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
35
927
0
25 May 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,904
0
13 Jun 2015
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