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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
Mario Sznaier
Richard J. Radke
ArXivPDFHTML

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

50 / 221 papers shown
Title
Predicting detection filters for small footprint open-vocabulary keyword
  spotting
Predicting detection filters for small footprint open-vocabulary keyword spotting
Théodore Bluche
Thibault Gisselbrecht
ObjD
20
19
0
16 Dec 2019
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
Mingyu Ding
Yuqi Huo
Hongwei Yi
Zhe Wang
Jianping Shi
Zhiwu Lu
Ping Luo
3DPC
51
311
0
10 Dec 2019
Neural Similarity Learning
Neural Similarity Learning
Weiyang Liu
Zhen Liu
James M. Rehg
Le Song
27
29
0
28 Oct 2019
Few-shot Video-to-Video Synthesis
Few-shot Video-to-Video Synthesis
Ting-Chun Wang
Ming Liu
Andrew Tao
Guilin Liu
Jan Kautz
Bryan Catanzaro
DiffM
VGen
53
367
0
28 Oct 2019
Learning to Predict Layout-to-image Conditional Convolutions for
  Semantic Image Synthesis
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Xihui Liu
Guojun Yin
Jing Shao
Xiaogang Wang
Hongsheng Li
34
205
0
15 Oct 2019
Deformable Kernels: Adapting Effective Receptive Fields for Object
  Deformation
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
Hang Gao
Xizhou Zhu
Steve Lin
Jifeng Dai
21
64
0
07 Oct 2019
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and
  RGB Semantic Segmentation
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation
Yunlu Chen
Thomas Mensink
Masashi Sugiyama
3DPC
MDE
30
25
0
03 Oct 2019
A Dual Camera System for High Spatiotemporal Resolution Video
  Acquisition
A Dual Camera System for High Spatiotemporal Resolution Video Acquisition
Ming Cheng
Zhan Ma
Ulugbek S. Kamilov
Yiling Xu
Haojie Liu
Wenbo Bao
Jun Sun
33
21
0
28 Sep 2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Huan Lei
Naveed Akhtar
Ajmal Mian
3DPC
30
166
0
20 Sep 2019
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with
  Pixel-Wise Task-Specific Filters for UHD HDR Video
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video
Seunggeun Kim
Jihyong Oh
Munchurl Kim
8
79
0
10 Sep 2019
Hyper-Graph-Network Decoders for Block Codes
Hyper-Graph-Network Decoders for Block Codes
Eliya Nachmani
Lior Wolf
14
70
0
05 Sep 2019
Compositional Video Prediction
Compositional Video Prediction
Yufei Ye
Maneesh Singh
Abhinav Gupta
Shubham Tulsiani
18
85
0
22 Aug 2019
Proposal-free Temporal Moment Localization of a Natural-Language Query
  in Video using Guided Attention
Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention
Cristian Rodriguez-Opazo
Edison Marrese-Taylor
F. Saleh
Hongdong Li
Stephen Gould
27
147
0
20 Aug 2019
LIP: Local Importance-based Pooling
LIP: Local Importance-based Pooling
Ziteng Gao
Limin Wang
Gangshan Wu
FAtt
37
94
0
12 Aug 2019
Dynamic Scale Inference by Entropy Minimization
Dynamic Scale Inference by Entropy Minimization
Dequan Wang
Evan Shelhamer
Bruno A. Olshausen
Trevor Darrell
27
7
0
08 Aug 2019
Indices Matter: Learning to Index for Deep Image Matting
Indices Matter: Learning to Index for Deep Image Matting
Hao Lu
Yutong Dai
Chunhua Shen
Songcen Xu
SSL
22
183
0
02 Aug 2019
Extracting Interpretable Physical Parameters from Spatiotemporal Systems
  using Unsupervised Learning
Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
Peter Y. Lu
Samuel Kim
Marin Soljacic
AI4CE
22
59
0
13 Jul 2019
Mapped Convolutions
Mapped Convolutions
Marc Eder
True Price
Thanh Tien Vu
Akash Bapat
Jan-Michael Frahm
4
28
0
26 Jun 2019
Local Relation Networks for Image Recognition
Local Relation Networks for Image Recognition
Han Hu
Zheng-Wei Zhang
Zhenda Xie
Stephen Lin
FAtt
32
498
0
25 Apr 2019
Blurring the Line Between Structure and Learning to Optimize and Adapt
  Receptive Fields
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields
Evan Shelhamer
Dequan Wang
Trevor Darrell
29
35
0
25 Apr 2019
DynamoNet: Dynamic Action and Motion Network
DynamoNet: Dynamic Action and Motion Network
Ali Diba
Vivek Sharma
Luc Van Gool
Rainer Stiefelhagen
30
110
0
25 Apr 2019
Point-to-Point Video Generation
Point-to-Point Video Generation
Tsun-Hsuan Wang
Y. Cheng
Chieh Hubert Lin
Hwann-Tzong Chen
Min Sun
VGen
DiffM
16
21
0
05 Apr 2019
Selective Kernel Networks
Selective Kernel Networks
Xiang Li
Wenhai Wang
Xiaolin Hu
Jian Yang
25
2,001
0
15 Mar 2019
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and
  Regularization
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization
Tak-Wai Hui
Xiaoou Tang
Chen Change Loy
3DPC
23
177
0
15 Mar 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video
  Generation
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation
Manoj Kumar
Mohammad Babaeizadeh
D. Erhan
Chelsea Finn
Sergey Levine
Laurent Dinh
Durk Kingma
VGen
25
131
0
04 Mar 2019
Octree guided CNN with Spherical Kernels for 3D Point Clouds
Octree guided CNN with Spherical Kernels for 3D Point Clouds
Huan Lei
Naveed Akhtar
Ajmal Mian
3DPC
19
141
0
28 Feb 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their
  Embeddings and Back
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
M. Simonovsky
BDL
GNN
29
1
0
24 Jan 2019
StoryGAN: A Sequential Conditional GAN for Story Visualization
StoryGAN: A Sequential Conditional GAN for Story Visualization
Yitong Li
Zhe Gan
Yelong Shen
Jingjing Liu
Yu Cheng
Yuexin Wu
Lawrence Carin
David Carlson
Jianfeng Gao
41
226
0
06 Dec 2018
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
35
377
0
03 Dec 2018
PointConv: Deep Convolutional Networks on 3D Point Clouds
PointConv: Deep Convolutional Networks on 3D Point Clouds
Wenxuan Wu
Zhongang Qi
Fuxin Li
3DPC
28
1,544
0
17 Nov 2018
A Perceptual Prediction Framework for Self Supervised Event Segmentation
A Perceptual Prediction Framework for Self Supervised Event Segmentation
Sathyanarayanan N. Aakur
Sudeep Sarkar
16
69
0
12 Nov 2018
Recurrent Flow-Guided Semantic Forecasting
Recurrent Flow-Guided Semantic Forecasting
Adam M. Terwilliger
Garrick Brazil
Xiaoming Liu
21
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
317
0
18 Apr 2018
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in
  Spatiotemporal Predictive Learning
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
Yunbo Wang
Zhifeng Gao
Mingsheng Long
Jianmin Wang
Philip S. Yu
20
470
0
17 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
22
33
0
03 Apr 2018
Neural Autoregressive Flows
Neural Autoregressive Flows
Chin-Wei Huang
David M. Krueger
Alexandre Lacoste
Aaron Courville
DRL
AI4CE
28
433
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
41
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
59
391
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
29
135
0
01 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
35
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
Personalized Saliency and its Prediction
Personalized Saliency and its Prediction
Yanyu Xu
Shenghua Gao
Junru Wu
Nianyi Li
Jingyi Yu
37
51
0
09 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
30
7
0
10 Aug 2017
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