2018 Harvest Imaging Forum Agenda - Hallo friendsCAR ON REPIYU, In the article you read this time with the title 2018 Harvest Imaging Forum Agenda, We have prepared this article for you to read and retrieve information therein. Hopefully the contents of postings Article car review, Article mobile review, We write this you can understand. Alright, good read.

Title : 2018 Harvest Imaging Forum Agenda
link : 2018 Harvest Imaging Forum Agenda

2018 Harvest Imaging Forum Agenda

Albert Theuwissen announces agenda of Harvest Imaging Forum, to be held on December 6-7 in Delft, the Netherlands.

Day 1 of the forum is devoted to "Efficient embedded deep learning for vision applications," presented by Marian VERHELST (KU Leuven, Belgium):

1. Introduction into deep learning
   From neural networks (NN) to deep NN
   Benefits & applications
   Training and inference with deep NN
   Types of deep NN
   Sparse connectivity
   Residual networks
   Separable models
   Key enablers & challenges
2. Computer architectures for deep NN inference
   Benefits and limitations of CPU and GPUs
   Exploiting NN structure in custom processors
   Architecture level exploitation: spatial reuse in efficient datapaths
   Architecture level exploitation: temporal reuse in efficient memory hierarchies
   Circuit level exploitation: near/in memory compute
   Exploiting NN precision in custom processors
   Architecture level exploitation: reduced and variable precision processors
   Circuit level exploitation: mixed signal neural network processors
   Exploiting NN sparsity:
   Architecture level exploitation: computational and memory gating
   Architecture level exploitation: I/O compression
3. HW and SW optimization for efficient inference
   Co-optimizing NN topology and precision with hardware architectures
   Hardware modeling
   Hardware-aware network optimization
   Network-aware hardware optimization
4. Trends and outlook
   Dynamic application-pipelines
   Dynamic SoCs
   Beyond deep learning, explainable AI
   Outlook

Day 2 is devoted to "Image and Data Fusion," presented by Wilfried PHILIPS (imec and Ghent University, Belgium):

1. Data fusion: principles and theory
   Bayesian estimation
   Priors and likelihood
   Information content, redundancy, correlation
   Application to image processing: recursive maximum likelihood tracking, pixel fusion
2. Pixel level fusion
   Sampling grids and spatio-temporal aliasing
   Multi-modal sensors, interpolation
   Temporal fusion and superresolution
   Multi-focal fusion
3. Multi-camera image fusion
   Occlusion and inpainting
   Uni and multimodal Inter-camera pixel fusion
   Fusion of heterogeneous sources: camera, lidar, radar
   Applications: time of flight, hyperspectral, hdr, multiview imaging
   Fusion of heterogeneous sources: radar, video, lidar
4. Geometric fusion
   Multi-view geometry
   Fusion of point clouds
   Image stitching
   Simultaneous localization and mapping
   Applications: remote sensing from drones and vehicles
5. Inference fusion in camera networks
   Multi-camera calibration
   Occlusion reasoning for multiple cameras with an overlapping viewpoint
   Multi-camera tracking
   Cooperative fusion and distributed processing

Thus Article 2018 Harvest Imaging Forum Agenda

That's an article 2018 Harvest Imaging Forum Agenda This time, hopefully can give benefits to all of you. well, see you in posting other articles.

You are now reading the article 2018 Harvest Imaging Forum Agenda with the link address https://caronrepiyu.blogspot.com/2018/11/2018-harvest-imaging-forum-agenda.html

Tweet

Subscribe to receive free email updates: