NSF REU Poster Session 2020
NSF REU 2020 webpage: https://www.crcv.ucf.edu/nsf-projects/reu/reu-2020/
UCF CRCV
Hybrid Representations for 3D Understanding -- Qixing Huang
CVPR 2020 Workshop on Deep Learning Foundations of Geometric Shape Modeling and Reconstruction Please visit the workshop website to obtain the talk ...
WORKSHOP-W32 CVPR
[ECCV 2010] 2-D Hierarchical Inference Machine (1)
Intermediate visualizations from the hierarchical inference machine described in: D. Munoz, J. A. Bagnell, M. Hebert Stacked Hierarchical Labeling European ...
dmunozresearch
[ECCV16 Talk] Colorful Image Colorization (10/16)
R. Zhang, P. Isola, A. A. Efros. Colorful Image Colorization. In ECCV, 2016. http://richzhang.github.io/colorization/ Recorded October 2016.
Richard Zhang
Deep Learning for 3D Computer Vision
We live in a three-dimensional world but, in most cases, the real-world scenes and objects are visually represented using images and videos which are ...
National Incubation Center
Fast Variational Multi-View Segmentation through Backprojection of Spatial Constraints
To appear in Image and Vision Computing We present a variational segmentation method which exploits color, edge and spatial information between an ...
rvlab
DeepIM: Deep Iterative Matching for 6D Pose Estimation
Presentation O-2B-04 of European Conference on Computer Vision 2018, Munich Germany Webpage: https://eccv2018.org Title: DeepIM: Deep Iterative ...
European Computer Vision Association
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks (ECCV 2020)
paper: https://arxiv.org/abs/2003.07119 code: https://github.com/majedelhelou/SFM author's personal website: https://majedelhelou.github.io.
IVRL EPFL
TTIC Distinguished Lecture Series - Trevor Darrell
Title: Large-scale detector adaptation and other recent results Abstract: In this talk I'll review recent progress towards robust and effective perceptual ...
TTIC
Deep Learning Part 2
UCF CRCV
ECE 804 - Dr Bhaskar D. Rao - Bayesian Methods for Sparse Signal Recovery and Compressed Sensing
Compressive sensing (CS) as an approach for data acquisition has recently received much attention. In CS, the signal recovery problem from the observed data ...
NC State ECE
Piotr Bojanowski: Unsupervised methods for deep learning and applications
Invited Lecture at the PL in ML: Polish View on Machine Learning 2018 Conference (plinml.mimuw.edu.pl). Abstract: Modern machine learning algorithms ...
ML in PL
RVC 2020 - Live Session 1
http://www.robustvision.net/
Andreas Geiger
Raymond Mooney - "Generating Natural-Language Video Descriptions..." (TCSDLS 2016-2017)
Speaker: Raymond Mooney, Professor, University of Texas at Austin Title: "Generating Natural-Language Video Descriptions using LSTM Recurrent Neural ...
UNC Computer Science
Video Understanding: What to Expect Today & Tomorrow? - Cees Snoek - Deep Learning Summit #reworkDL
This presentation took place at the Deep Learning Summit in London on 24-25 Sept 2015: https://www.re-work.co/events/deep-learning-london-2015 #reworkDL ...
RE•WORK
Yanxi Liu - "Computational Regularity: Theory and Applications"
UCI Media
IPECS2020-International Conference paper presentation
Capacitance Switching ...
RAJAMD_ELECTRICAL ENGINEERING
Paolo Favaro: Portable Light Field Imaging: Extended Depth of Field, Aliasing and Superresolution
From ICCP11 Hosted by Carnegie Mellon University, Robotics Institute April 8, 2011 Abstract: Portable light field cameras have demonstrated capabilities ...
cmurobotics
eccv2010_e2cp.avi
This video shows the process of pairwise constraint propagation, which is reported in the ECCV 2010 oral paper entitled "Constrained Spectral Clustering via ...
zewlu
Piotr Bojanowski - Unsupervised Methods for Deep Learning and Applications | DLUB2019 Invited Talks
This video was recorded during the 2nd Deep Learning summer school which was held between July 22-27th, 2019 in Ulaanbaatar, Mongolia.
DDAM
[ECCV2020] OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features (1 min)
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features Anton Osokin, Denis Sumin and Vasily Lomakin In proceedings of the European ...
Anton Osokin
ICCV19: Oral Session 4.2B - Face & Body Modeling
Link to indexed video: https://conftube.com/video/ByfFufRhuRc 1. Towards Interpretable Face Recognition Bangjie Yin, Luan Tran, Haoxiang Li, Xiaohui Shen, ...
ComputerVisionFoundation Videos
Unusual Events Detection in Video Surveillance
Watch it in HD and full screen mode. The sequence on the left side is the standard video sequence from PETS 2001 dataset. The upper right sequence ...
MMSPgroup
Robust dynamic motion estimation over time, CVPR '91
Robust dynamic motion estimation over time, Black, M. J. and Anandan, P., Proc. Computer Vision and Pattern Recognition, CVPR-91, Maui, Hawaii, June 1991, ...
Michael Black
[VIRTUAL] Spring 2020 GRASP Seminar Series: John Leonard - April 24th
Massachusetts Institute of Technology "Challenges and Opportunities in Automated Driving" ABSTRACT This talk will describe some of the challenges and ...
GRASP Lab
PyTorch Developer Conference 2018: Cloud & Academia Sessions
Watch sessions from our PyTorch Developer Conference featuring the PyTorch community, including cloud partners, Amazon, Microsoft, and Google, along with ...
PyTorch
Bookmetrixから見えてきた書籍の影響（第1部開発編 - 書籍のインパクトを測るには）シュプリンガー・ネイチャー（字幕付）
2018年6月に開催したセミナー「研究成果発信と評価ー電子書籍のインパクトは評価指標の1つとなり得るか？」におけるBookmetrixについての発表です。書籍の電子化が ...
シュプリンガー・ジャパン / Springer Japan
ITA Poster Session 2011 Divyanshu Vats
Divyanshu Vats - Telescoping Recursive Represntations and Estimation of Gauss-Markov Random Fields.
The Qualcomm Institute
Lec01 Introduction to Visual Computing
Introduction to concepts of visual computing, the different aread of application, challenges in visual computing, organization of the course, toolboxes of the trade.
Deep Learning For Visual Computing - IITKGP
WACV18: Real-Time Simultaneous 3D Reconstruction and Optical Flow Estimation
Menandro Roxas, Takeshi Oishi We present an alternative method for solving the motion stereo problem for two views in a variational framework. Instead of ...
ComputerVisionFoundation Videos
Improving Background Subtraction Based on a Casuistry of Colour Motion Segmentation Problems
Results from the paper: "Ivan Huerta, Daniel Rowe, Mikhail Mozerov, Jordi Gonzàlez, " Improving Background Subtraction based on a Casuistry of ...
ivanhc2
PyTorch Developer Conference 2018: Cloud & Academia Sessions
Watch sessions from our PyTorch Developer Conference featuring the PyTorch community, including cloud partners, Amazon, Microsoft, and Google, along with ...
Facebook Developers
WACV18: Dynamic Visual Sequence Prediction with Motion Flow Networks
Dinghuang Ji, Zhen Wei , Enrique Dunn, Jan-Michael Frahm We target the problem of synthesizing future motion sequences from a temporally ordered set of ...
ComputerVisionFoundation Videos
ICRA'18 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image"
This is the video demo for our ICRA'18 paper. We consider the problem of dense depth prediction from a sparse set of depth measurements and a single RGB ...
Fangchang Ma
Zuruba News - 15-09-2018
Neste primeiro Zuruba News eu falo sobre alguns textos que li durante a semana para estimular a vocês fazerem o mesmo. Links CPU vs. GPU in Machine ...
Zurubabel
COS30019 Lecture 1 Sem 2 2020
Joel Than
Fotogrametria, Flujos de Trabajo BIM Con software Autodesk y software Libre Part 2/2
Seguimos con la segunda parte de flujos de trabajo en fotogrametría, no duden en hacer cualquier consulta o sugerencias para próximos videos.
Engineer Geek
A New Rank Constraint on Multi-View Fundamental Matrices, and Its Application ... | Spotlight 2-1C
Soumyadip Sengupta, Tal Amir, Meirav Galun, Tom Goldstein, David W. Jacobs, Amit Singer, Ronen Basri Accurate estimation of camera matrices is an ...
ComputerVisionFoundation Videos
Hallucinating Very Low-Resolution Unaligned and Noisy Face Images | Spotlight 4-1A
Xin Yu; Fatih Porikli Most of the conventional face hallucination methods assume the input image is sufficiently large and aligned, and all require the input image ...
ComputerVisionFoundation Videos
Brains, Minds & Machines Seminar Series: Computer Vision that is changing our lives
Recorded on March 23, 2015 at MIT Amnon Shashua holds the Sachs chair in computer science at the Hebrew University. He received his Ph.D. degree in 1993 ...
MITCBMM
2017-10-20-MLFL-Kyunghyun-Cho
Machine Learning and Friends Lunch
From Visual Sensing to Visual Intelligence
Computer vision is arguably one of the most challenging subfields of AI. To better address the key challenges, the vision research community has long been ...
Microsoft Research
