achakraborty > computer-vision | BibSonomy

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111k Hands
https://sites.google.com/view/11khands
7 years ago by @achakraborty
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1AI Conference Deadlines
Countdowns to top CV/NLP/ML/Robotics/AI conference deadlines
7 years ago by @achakraborty
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computer-visionartificial-intelligenceconferencemachine-learningnatural-language-processingroboticsdeadlinesresearch
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2AMDS123 Blog
Recent Papers about CV, CL and SD
6 years ago by @achakraborty
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arxiv
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3Arxiv Sanity Preserver
http://www.arxiv-sanity.com/
7 years ago by @achakraborty
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1Automatic feature engineering using Generative Adversarial Networks
The purpose of deep learning is to learn a representation of high dimensional and noisy data using a sequence of differentiable functions, i.e., geometric transformations, that can perhaps be used…
6 years ago by @achakraborty
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1Bundler - Structure from Motion (SfM) for Unordered Image Collections
http://www.cs.cornell.edu/%7Esnavely/bundler/
6 years ago by @achakraborty
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1Computer Vision Tools - Sunglok Choi's Homepage
https://sites.google.com/site/sunglok/rv_tool/vision
6 years ago by @achakraborty
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2CSRankings: Computer Science Rankings
Computer Science Rankings
7 years ago by @achakraborty
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1CVPR 2014 Tutorial: Dense Image Correspondences for Computer Vision
https://sites.google.com/site/cvpr2014tutorial/
6 years ago by @achakraborty
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1CVPR 2017 Tutorial - Large-scale 3D Modeling from Crowdsourced Data
https://demuc.de/tutorials/cvpr2017/
6 years ago by @achakraborty
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1Cyrill Stachniss Research Videos - YouTube
Videos illustrating some of my research activities ( Bonn Professor )
6 years ago by @achakraborty
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1ETH3D Benchmark
https://www.eth3d.net/
6 years ago by @achakraborty
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2Fei-Fei Li's advice on Good Research and Good Papers | Hongwei Qin's Blog
http://qinhongwei.com/2015/03/25/Fei-fei-Li-s-advice/
6 years ago by @achakraborty
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1Fisher Yu
http://www.yf.io/
6 years ago by @achakraborty
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1Geometry of Computer Vision and Graphics (Summer 2018) | CVUT
https://cw.fel.cvut.cz/wiki/courses/gvg/start
6 years ago by @achakraborty
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1How Mapillary Makes Computer Vision Algorithms Effective and Robust - The Mapillary Blog
Mapillary has won the Semantic Segmentation Challenge as part of the 2018 CVPR Robust Vision Workshop. Here's how we did it.
6 years ago by @achakraborty
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1How to Install OpenCV - OpenCV 3.2 on Ubuntu 17.04 with PyCharm
How you can set up and install the OpenCV library and use it with Python. Learn how to install OpenCV with PyCharm IDE.We learn how to build and use OpenCV.
7 years ago by @achakraborty
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1Installing OpenCV 3.3.0 on Ubuntu 16.04 LTS – Linh Nguyen – Medium
https://medium.com/@debugvn/installing-opencv-3-3-0-on-ubuntu-16-04-lts-7db376f93961
6 years ago by @achakraborty
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1Intelligent and Interactive Systems (IIS) | Universität Innsbruck
https://iis.uibk.ac.at/
6 years ago by @achakraborty
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grasp
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1Keep Up With New Trends - handong1587
https://handong1587.github.io/deep_learning/2017/12/18/keep-up-with-new-trends.html
7 years ago by @achakraborty
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publications (hide)22
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33D Bounding Box Estimation Using Deep Learning and Geometry
A. Mousavian, D. Anguelov, J. Flynn, and J. Kosecka. (2016)cite arxiv:1612.00496Comment: To appear in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017.
6 years ago by @achakraborty
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2017
cvpr
arxiv
computer-visiondeep-learningpaper2017cvprarxiv
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33D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
C. Zou, E. Yumer, J. Yang, D. Ceylan, and D. Hoiem. (2017)cite arxiv:1708.01648Comment: ICCV 2017.
6 years ago by @achakraborty
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rnn
computer-vision
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2017
shape
iccv
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3Drnncomputer-visiondeep-learningpaper2017shapeiccvarxiv
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3BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration
A. Dai, M. Nießner, M. Zollhöfer, S. Izadi, and C. Theobalt. (2016)cite arxiv:1604.01093.
6 years ago by @achakraborty
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3D
computer-vision
multi-view
2016
stereo
reconstruction
3Dcomputer-visionmulti-view2016stereoreconstruction
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3ChainerCV: a Library for Deep Learning in Computer Vision
Y. Niitani, T. Ogawa, S. Saito, and M. Saito. (2017)cite arxiv:1708.08169Comment: Accepted to ACM MM 2017 Open Source Software Competition.
6 years ago by @achakraborty
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2017
arxiv
computer-visiondeep-learninglibrarypaper2017arxiv
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1Deep Marching Cubes: Learning Explicit Surface Representations
Y. Liao, S. Donne, and A. Geiger. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society, (2018)
6 years ago by @achakraborty
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2018
germany
cvpr
max-planck-institute
computer-visiondeep-learning2018germanycvprmax-planck-institute
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27Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun. (2015)cite arxiv:1512.03385Comment: Tech report.
6 years ago by @achakraborty
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computer-vision
deep-learning
2015
microsoft
computer-visiondeep-learning2015microsoft
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3FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans
C. Liu, J. Wu, and Y. Furukawa. (2018)cite arxiv:1804.00090.
6 years ago by @achakraborty
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3D
computer-vision
scene-understanding
2018
indoor
cvpr
reconstruction
architecture
3Dcomputer-visionscene-understanding2018indoorcvprreconstructionarchitecture
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2GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB
F. Mueller, F. Bernard, O. Sotnychenko, D. Mehta, S. Sridhar, D. Casas, and C. Theobalt. Proceedings of Computer Vision and Pattern Recognition (CVPR), (June 2018)
6 years ago by @achakraborty
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computer-vision
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2018
cvpr
hand
3Dcomputer-visiondeep-learningGAN2018cvprhand
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5Identity Mappings in Deep Residual Networks
K. He, X. Zhang, S. Ren, and J. Sun. (2016)cite arxiv:1603.05027Comment: ECCV 2016 camera-ready.
6 years ago by @achakraborty
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computer-vision
deep-learning
2016
microsoft
computer-visiondeep-learning2016microsoft
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4Learning Compact Geometric Features
M. Khoury, Q. Zhou, and V. Koltun. (2017)cite arxiv:1709.05056Comment: International Conference on Computer Vision (ICCV), 2017.
6 years ago by @achakraborty
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computer-vision
scene-understanding
2017
geometry
iccv
computer-visionscene-understanding2017geometryiccv
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3Matterport3D: Learning from RGB-D Data in Indoor Environments
A. Chang, A. Dai, T. Funkhouser, M. Halber, M. Nießner, M. Savva, S. Song, A. Zeng, and Y. Zhang. (2017)cite arxiv:1709.06158.
6 years ago by @achakraborty
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3D
computer-vision
dataset
2017
reconstruction
arxiv
3Dcomputer-visiondataset2017reconstructionarxiv
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3Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
A. Kendall, Y. Gal, and R. Cipolla. (2017)cite arxiv:1705.07115Comment: CVPR 2018.
6 years ago by @achakraborty
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computer-vision
2017
machine-learning
geometry
arxiv
computer-vision2017machine-learninggeometryarxiv
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4PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image
C. Liu, J. Yang, D. Ceylan, E. Yumer, and Y. Furukawa. (2018)cite arxiv:1804.06278Comment: CVPR 2018.
6 years ago by @achakraborty
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computer-vision
2018
cvpr
reconstruction
architecture
computer-vision2018cvprreconstructionarchitecture
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2Pointwise Convolutional Neural Networks
B. Hua, M. Tran, and S. Yeung. (2017)cite arxiv:1712.05245Comment: 10 pages, 6 figures, 10 tables. Paper accepted to CVPR 2018.
6 years ago by @achakraborty
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computer-vision
2018
cnn
paper
cvpr
point-cloud
arxiv
computer-vision2018cnnpapercvprpoint-cloudarxiv
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2PolyFit: Polygonal Surface Reconstruction From Point Clouds
L. Nan, and P. Wonka. The IEEE International Conference on Computer Vision (ICCV), (October 2017)
6 years ago by @achakraborty
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computer-vision
2017
polygon
graphics
point-cloud
iccv
reconstruction
computer-vision2017polygongraphicspoint-cloudiccvreconstruction
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2Residual Networks of Residual Networks: Multilevel Residual Networks
K. Zhang, M. Sun, T. Han, X. Yuan, L. Guo, and T. Liu. (2016)cite arxiv:1608.02908Comment: IEEE Transactions on Circuits and Systems for Video Technology 2017.
6 years ago by @achakraborty
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computer-vision
deep-learning
2016
computer-visiondeep-learning2016
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3Semantic Segmentation using Adversarial Networks
P. Luc, C. Couprie, S. Chintala, and J. Verbeek. (2016)cite arxiv:1611.08408.
6 years ago by @achakraborty
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computer-vision
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GAN
2016
segmentation
computer-visiondeep-learningGAN2016segmentation
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4SO-Net: Self-Organizing Network for Point Cloud Analysis
J. Li, B. Chen, and G. Lee. (2018)cite arxiv:1803.04249Comment: 17 pages, CVPR 2018.
6 years ago by @achakraborty
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2018
paper
shape
cvpr
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computer-vision2018papershapecvprpoint-cloud
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3SuperPoint: Self-Supervised Interest Point Detection and Description
D. DeTone, T. Malisiewicz, and A. Rabinovich. (2017)cite arxiv:1712.07629Comment: Camera-ready version for CVPR 2018 Deep Learning for Visual SLAM Workshop (DL4VSLAM2018).
6 years ago by @achakraborty
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2018
multi-view
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cvpr
computer-vision2018multi-viewfeaturecvpr
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1Unsupervised Monocular Depth Estimation with Left-Right Consistency
C. Godard, O. Mac Aodha, and G. Brostow. CVPR, (2017)
6 years ago by @achakraborty
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2017
depth-estimation
ucl
computer-visionpaper2017depth-estimationucl
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5Wide Residual Networks
S. Zagoruyko, and N. Komodakis. (2016)cite arxiv:1605.07146.
6 years ago by @achakraborty
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computer-vision
deep-learning
2016
computer-visiondeep-learning2016
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6You Only Look Once: Unified, Real-Time Object Detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi. (2015)cite arxiv:1506.02640.
6 years ago by @achakraborty
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2016
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