ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.03280
  4. Cited By
Prediction-Tracking-Segmentation

Prediction-Tracking-Segmentation

5 April 2019
Jianren Wang
Yihui He
Xiaobo Wang
Xinjia Yu
Xia Chen
    VOS
ArXivPDFHTML

Papers citing "Prediction-Tracking-Segmentation"

34 / 34 papers shown
Title
Feature Selective Anchor-Free Module for Single-Shot Object Detection
Feature Selective Anchor-Free Module for Single-Shot Object Detection
Chenchen Zhu
Yihui He
Marios Savvides
ObjD
41
796
0
02 Mar 2019
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
Yue Liu
Wei Wu
Qiang Wang
Fangyi Zhang
Junliang Xing
Junjie Yan
ViT
59
1,799
0
31 Dec 2018
Fast Online Object Tracking and Segmentation: A Unifying Approach
Fast Online Object Tracking and Segmentation: A Unifying Approach
Qiang Wang
Li Zhang
Luca Bertinetto
Weiming Hu
Philip Torr
VOS
35
1,203
0
12 Dec 2018
Bounding Box Regression with Uncertainty for Accurate Object Detection
Bounding Box Regression with Uncertainty for Accurate Object Detection
Yihui He
Chenchen Zhu
Jianren Wang
Marios Savvides
Xinming Zhang
ObjD
65
466
0
23 Sep 2018
Towards a Better Match in Siamese Network Based Visual Object Tracker
Towards a Better Match in Siamese Network Based Visual Object Tracker
Anfeng He
Chong Luo
Xinmei Tian
Wenjun Zeng
63
56
0
05 Sep 2018
Distractor-aware Siamese Networks for Visual Object Tracking
Distractor-aware Siamese Networks for Visual Object Tracking
Zheng Zhu
Qiang Wang
Yue Liu
Wei Wu
Junjie Yan
Weiming Hu
66
1,168
0
18 Aug 2018
CNN in MRF: Video Object Segmentation via Inference in A CNN-Based
  Higher-Order Spatio-Temporal MRF
CNN in MRF: Video Object Segmentation via Inference in A CNN-Based Higher-Order Spatio-Temporal MRF
Linchao Bao
Baoyuan Wu
Wen Liu
VOS
20
206
0
26 Mar 2018
A Twofold Siamese Network for Real-Time Object Tracking
A Twofold Siamese Network for Real-Time Object Tracking
Anfeng He
Chong Luo
Xinmei Tian
Wenjun Zeng
41
564
0
24 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li Li
Song Han
60
1,346
0
10 Feb 2018
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
222
2,435
0
07 Sep 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
186
2,513
0
19 Jul 2017
Online Adaptation of Convolutional Neural Networks for Video Object
  Segmentation
Online Adaptation of Convolutional Neural Networks for Video Object Segmentation
P. Voigtlaender
Bastian Leibe
VOS
89
394
0
28 Jun 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
50
351
0
28 Apr 2017
End-to-end representation learning for Correlation Filter based tracking
End-to-end representation learning for Correlation Filter based tracking
Jack Valmadre
Luca Bertinetto
João F. Henriques
Andrea Vedaldi
Philip Torr
57
1,396
0
20 Apr 2017
The 2017 DAVIS Challenge on Video Object Segmentation
The 2017 DAVIS Challenge on Video Object Segmentation
Jordi Pont-Tuset
Federico Perazzi
Sergi Caelles
Pablo Arbeláez
A. Sorkine-Hornung
Luc Van Gool
VGen
VOS
51
1,193
0
03 Apr 2017
Predicting Deeper into the Future of Semantic Segmentation
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc
Natalia Neverova
Camille Couprie
Jakob Verbeek
Yann LeCun
43
243
0
22 Mar 2017
Learning Background-Aware Correlation Filters for Visual Tracking
Learning Background-Aware Correlation Filters for Visual Tracking
Hamed Kiani Galoogahi
Ashton Fagg
Simon Lucey
41
1,033
0
14 Mar 2017
Semantic Video Segmentation by Gated Recurrent Flow Propagation
Semantic Video Segmentation by Gated Recurrent Flow Propagation
David Nilsson
C. Sminchisescu
91
222
0
28 Dec 2016
Video Propagation Networks
Video Propagation Networks
Varun Jampani
Raghudeep Gadde
Peter V. Gehler
DiffM
36
230
0
16 Dec 2016
Learning Video Object Segmentation from Static Images
Learning Video Object Segmentation from Static Images
Anna Khoreva
Federico Perazzi
Rodrigo Benenson
Bernt Schiele
A. Sorkine-Hornung
VOS
43
585
0
08 Dec 2016
Video Scene Parsing with Predictive Feature Learning
Video Scene Parsing with Predictive Feature Learning
Xiaojie Jin
Xuzhao Li
Huaxin Xiao
Xiaohui Shen
Zhe Lin
...
Jian Dong
Luoqi Liu
Zequn Jie
Jiashi Feng
Shuicheng Yan
57
111
0
01 Dec 2016
One-Shot Video Object Segmentation
One-Shot Video Object Segmentation
Sergi Caelles
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Laura Leal-Taixé
Daniel Cremers
Luc Van Gool
VOS
53
909
0
16 Nov 2016
Discriminative Scale Space Tracking
Discriminative Scale Space Tracking
Martin Danelljan
Gustav Häger
Fahad Shahbaz Khan
Michael Felsberg
25
1,130
0
20 Sep 2016
Learning Spatially Regularized Correlation Filters for Visual Tracking
Learning Spatially Regularized Correlation Filters for Visual Tracking
Martin Danelljan
Gustav Häger
Fahad Shahbaz Khan
Michael Felsberg
25
1,868
0
19 Aug 2016
Beyond Correlation Filters: Learning Continuous Convolution Operators
  for Visual Tracking
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking
Martin Danelljan
Andreas Robinson
Fahad Shahbaz Khan
Michael Felsberg
62
1,692
0
12 Aug 2016
Fully-Convolutional Siamese Networks for Object Tracking
Fully-Convolutional Siamese Networks for Object Tracking
Luca Bertinetto
Jack Valmadre
João F. Henriques
Andrea Vedaldi
Philip Torr
VOT
59
3,863
0
30 Jun 2016
Siamese Instance Search for Tracking
Siamese Instance Search for Tracking
Ran Tao
E. Gavves
A. Smeulders
23
593
0
19 May 2016
Learning to Track at 100 FPS with Deep Regression Networks
Learning to Track at 100 FPS with Deep Regression Networks
David Held
Sebastian Thrun
Silvio Savarese
OffRL
53
1,190
0
06 Apr 2016
Learning to Refine Object Segments
Learning to Refine Object Segments
Pedro H. O. Pinheiro
Nayeon Lee
R. Collobert
Piotr Dollàr
SSeg
57
854
0
29 Mar 2016
Learning to Segment Object Candidates
Learning to Segment Object Candidates
Pedro H. O. Pinheiro
R. Collobert
Piotr Dollar
SSeg
64
801
0
20 Jun 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
249
7,361
0
05 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
372
61,900
0
04 Jun 2015
High-Speed Tracking with Kernelized Correlation Filters
High-Speed Tracking with Kernelized Correlation Filters
João F. Henriques
Rui Caseiro
P. Martins
Jorge Batista
46
5,121
0
30 Apr 2014
Correlation Filters with Limited Boundaries
Correlation Filters with Limited Boundaries
Hamed Kiani Galoogahi
Terence Sim
Simon Lucey
34
335
0
31 Mar 2014
1