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A Systematic Evaluation and Benchmark for Person Re-Identification:
  Features, Metrics, and Datasets
v1v2v3v4v5 (latest)

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
Mario Sznaier
Richard J. Radke
ArXiv (abs)PDFHTML

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

50 / 550 papers shown
Visual Explanation by Interpretation: Improving Visual Feedback
  Capabilities of Deep Neural Networks
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks
José Oramas
Kaili Wang
Tinne Tuytelaars
XAIFAtt
286
68
0
18 Dec 2017
Multi-Scale Video Frame-Synthesis Network with Transitive Consistency
  Loss
Multi-Scale Video Frame-Synthesis Network with Transitive Consistency Loss
Zhe Hu
Yinglan Ma
Lizhuang Ma
113
9
0
07 Dec 2017
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
270
420
0
06 Dec 2017
Folded Recurrent Neural Networks for Future Video Prediction
Folded Recurrent Neural Networks for Future Video Prediction
Marc Oliu
Javier Selva
Sergio Escalera
228
143
0
01 Dec 2017
Discriminative Learning of Open-Vocabulary Object Retrieval and
  Localization by Negative Phrase Augmentation
Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation
Ryota Hinami
Shiníchi Satoh
ObjD
123
24
0
27 Nov 2017
HyperNetworks with statistical filtering for defending adversarial
  examples
HyperNetworks with statistical filtering for defending adversarial examples
Zhun Sun
Mete Ozay
Takayuki Okatani
AAML
108
16
0
06 Nov 2017
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence
  Learning
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning
Zhen He
Shaobing Gao
Liang Xiao
Daxue Liu
Hangen He
David Barber
AIMat
280
66
0
05 Nov 2017
Stochastic Variational Video Prediction
Stochastic Variational Video Prediction
Mohammad Babaeizadeh
Chelsea Finn
D. Erhan
R. Campbell
Sergey Levine
DRLVGen
356
567
0
30 Oct 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
232
70
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
221
341
0
15 Oct 2017
Bayesian Hypernetworks
Bayesian Hypernetworks
David M. Krueger
Chin-Wei Huang
Riashat Islam
Ryan Turner
Alexandre Lacoste
Aaron Courville
UQCVBDL
197
144
0
13 Oct 2017
Personalized Saliency and its Prediction
Personalized Saliency and its Prediction
Yanyu Xu
Shenghua Gao
Junru Wu
Nianyi Li
Jingyi Yu
309
54
0
09 Oct 2017
Learning Context-Sensitive Convolutional Filters for Text Processing
Learning Context-Sensitive Convolutional Filters for Text Processing
Dinghan Shen
Martin Renqiang Min
Yitong Li
Lawrence Carin
187
11
0
25 Sep 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
425
792
0
17 Aug 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
231
8
0
10 Aug 2017
Video Frame Interpolation via Adaptive Separable Convolution
Video Frame Interpolation via Adaptive Separable Convolution
Simon Niklaus
Long Mai
Feng Liu
225
748
0
05 Aug 2017
Recurrent Ladder Networks
Recurrent Ladder Networks
Isabeau Prémont-Schwarz
Alexander Ilin
T. Hao
Antti Rasmus
Rinu Boney
Harri Valpola
316
41
0
28 Jul 2017
Graph Convolution: A High-Order and Adaptive Approach
Graph Convolution: A High-Order and Adaptive Approach
Zhenpeng Zhou
Xiaocheng Li
GNN
214
25
0
29 Jun 2017
Hierarchical Attentive Recurrent Tracking
Hierarchical Attentive Recurrent Tracking
Adam R. Kosiorek
Alex Bewley
Ingmar Posner
VOS
147
61
0
28 Jun 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
645
1,284
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
3DPCGNN
193
26
0
16 Jun 2017
Video Imagination from a Single Image with Transformation Generation
Video Imagination from a Single Image with Transformation GenerationACM Multimedia (ACM MM), 2017
Baoyang Chen
Wenmin Wang
Jinzhuo Wang
Xiongtao Chen
EGVMVGen
253
51
0
13 Jun 2017
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Deep Learning for Precipitation Nowcasting: A Benchmark and A New ModelNeural Information Processing Systems (NeurIPS), 2017
Xingjian Shi
Zhihan Gao
Leonard Lausen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
359
931
0
12 Jun 2017
Learning to Represent Mechanics via Long-term Extrapolation and
  Interpolation
Learning to Represent Mechanics via Long-term Extrapolation and Interpolation
Sébastien Ehrhardt
Áron Monszpart
Andrea Vedaldi
Niloy Mitra
178
6
0
06 Jun 2017
Dynamic Steerable Blocks in Deep Residual Networks
Dynamic Steerable Blocks in Deep Residual NetworksBritish Machine Vision Conference (BMVC), 2017
J. Jacobsen
Bert de Brabandere
A. Smeulders
179
28
0
02 Jun 2017
Contextual Explanation Networks
Contextual Explanation Networks
Maruan Al-Shedivat
Kumar Avinava Dubey
Eric Xing
CML
404
88
0
29 May 2017
Dense Transformer Networks
Dense Transformer Networks
Jun Yu Li
Yongjun Chen
Lei Cai
Ian Davidson
Shuiwang Ji
ViTMedIm
150
17
0
24 May 2017
Learning multiple visual domains with residual adapters
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
697
1,020
0
22 May 2017
Dynamic Compositional Neural Networks over Tree Structure
Dynamic Compositional Neural Networks over Tree Structure
Pengfei Liu
Xipeng Qiu
Xuanjing Huang
125
32
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
323
357
0
28 Apr 2017
Online Video Deblurring via Dynamic Temporal Blending Network
Online Video Deblurring via Dynamic Temporal Blending Network
Tae Hyun Kim
Kyoung Mu Lee
Bernhard Schölkopf
M. Hirsch
192
172
0
11 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
777
1,315
0
10 Apr 2017
Learning Visual Servoing with Deep Features and Fitted Q-Iteration
Learning Visual Servoing with Deep Features and Fitted Q-Iteration
Alex X. Lee
Sergey Levine
Pieter Abbeel
SSL
139
74
0
31 Mar 2017
Video Frame Interpolation via Adaptive Convolution
Video Frame Interpolation via Adaptive Convolution
Simon Niklaus
Long Mai
Feng Liu
204
535
0
22 Mar 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
470
6,192
0
17 Mar 2017
Transformation-Grounded Image Generation Network for Novel 3D View
  Synthesis
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
Eunbyung Park
Jimei Yang
Ersin Yumer
Duygu Ceylan
Alexander C. Berg
227
291
0
08 Mar 2017
Meta Networks
Meta Networks
Tsendsuren Munkhdalai
Hong-ye Yu
GNNAI4CE
310
1,141
0
02 Mar 2017
Learning A Physical Long-term Predictor
Learning A Physical Long-term Predictor
Sébastien Ehrhardt
Áron Monszpart
Niloy J. Mitra
Andrea Vedaldi
AI4CE
198
65
0
01 Mar 2017
On the Origin of Deep Learning
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm3DVVLM
354
235
0
24 Feb 2017
The Power of Sparsity in Convolutional Neural Networks
The Power of Sparsity in Convolutional Neural Networks
Soravit Changpinyo
Mark Sandler
A. Zhmoginov
202
135
0
21 Feb 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
305
77
0
29 Jan 2017
Video Ladder Networks
Video Ladder Networks
Francesco Cricri
Xingyang Ni
Mikko Honkala
Emre B. Aksu
Moncef Gabbouj
173
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
Feng Yu
Trevor Darrell
414
855
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
333
74
0
28 Nov 2016
Crowd Counting by Adapting Convolutional Neural Networks with Side
  Information
Crowd Counting by Adapting Convolutional Neural Networks with Side Information
Di Kang
Debarun Dhar
Antoni B. Chan
HAI
118
22
0
21 Nov 2016
Expert Gate: Lifelong Learning with a Network of Experts
Expert Gate: Lifelong Learning with a Network of Experts
Rahaf Aljundi
Punarjay Chakravarty
Tinne Tuytelaars
CLL
324
726
0
18 Nov 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
781
1,802
0
27 Sep 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross
  Convolutional Networks
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional NetworksNeural Information Processing Systems (NeurIPS), 2016
Tianfan Xue
Jiajun Wu
Katherine Bouman
Bill Freeman
198
417
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
570
974
0
25 May 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
396
1,089
0
23 May 2016
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