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. 1505.02206
  4. Cited By
Learning image representations tied to ego-motion

Learning image representations tied to ego-motion

8 May 2015
Dinesh Jayaraman
Kristen Grauman
    SSL
ArXivPDFHTML

Papers citing "Learning image representations tied to ego-motion"

18 / 68 papers shown
Title
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
46
2,394
0
15 May 2017
Unsupervised Learning of Depth and Ego-Motion from Video
Unsupervised Learning of Depth and Ego-Motion from Video
Tinghui Zhou
Matthew A. Brown
Noah Snavely
D. Lowe
MDE
76
2,555
0
25 Apr 2017
PixelNet: Representation of the pixels, by the pixels, and for the
  pixels
PixelNet: Representation of the pixels, by the pixels, and for the pixels
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
29
120
0
21 Feb 2017
Learning Features by Watching Objects Move
Learning Features by Watching Objects Move
Deepak Pathak
Ross B. Girshick
Piotr Dollár
Trevor Darrell
Bharath Hariharan
SSL
VOS
OCL
36
522
0
19 Dec 2016
Object-Centric Representation Learning from Unlabeled Videos
Object-Centric Representation Learning from Unlabeled Videos
Ruohan Gao
Dinesh Jayaraman
Kristen Grauman
19
36
0
01 Dec 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSL
DRL
31
665
0
29 Nov 2016
Social Behavior Prediction from First Person Videos
Social Behavior Prediction from First Person Videos
Shan Su
J. Hong
Jianbo Shi
H. Park
EgoV
34
12
0
29 Nov 2016
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Misha Denil
Pulkit Agrawal
Tejas D. Kulkarni
Tom Erez
Peter W. Battaglia
Nando de Freitas
AI4CE
34
338
0
06 Nov 2016
Pose from Action: Unsupervised Learning of Pose Features based on Motion
Pose from Action: Unsupervised Learning of Pose Features based on Motion
Senthil Purushwalkam
Abhinav Gupta
SSL
26
23
0
18 Sep 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GAN
VGen
92
1,460
0
08 Sep 2016
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OOD
SSeg
VLM
SSL
62
671
0
30 Aug 2016
View Synthesis by Appearance Flow
View Synthesis by Appearance Flow
Tinghui Zhou
Shubham Tulsiani
Weilun Sun
Jitendra Malik
Alexei A. Efros
35
689
0
11 May 2016
Look-ahead before you leap: end-to-end active recognition by forecasting
  the effect of motion
Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion
Dinesh Jayaraman
Kristen Grauman
17
90
0
30 Apr 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xueliang Wang
Abhinav Gupta
GAN
31
617
0
17 Mar 2016
Convolutional Patch Representations for Image Retrieval: an Unsupervised
  Approach
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach
Mattis Paulin
Julien Mairal
Matthijs Douze
Zaïd Harchaoui
Florent Perronnin
Cordelia Schmid
SSL
20
65
0
01 Mar 2016
Learning to Extract Motion from Videos in Convolutional Neural Networks
Learning to Extract Motion from Videos in Convolutional Neural Networks
Damien Teney
M. Hebert
16
71
0
27 Jan 2016
Learning visual groups from co-occurrences in space and time
Learning visual groups from co-occurrences in space and time
Phillip Isola
Daniel Zoran
Dilip Krishnan
Edward H. Adelson
22
121
0
21 Nov 2015
Slow and steady feature analysis: higher order temporal coherence in
  video
Slow and steady feature analysis: higher order temporal coherence in video
Dinesh Jayaraman
Kristen Grauman
26
143
0
15 Jun 2015
Previous
12