1. 程式人生 > >「ECCV 2016」Reading Notes

「ECCV 2016」Reading Notes

一、檢測、識別和檢索(Detection, Recognition and Retrival)

SSD: Single Shot MultiBox Detector ECCV 2016
P1, pp. 21-37

二、Poster Session 1

Learning to Refine Object Segments
P1, pp. 75-91

Deep Automatic Portrait Matting
P1, pp. 92-107

Region-Based Semantic Segmentation with End-to-End Training
P1, pp. 381-397

Convolutional Oriented Boundaries
P1, pp. 580-596

Superpixel Convolutional Networks Using Bilateral Inceptions
P1, pp. 597-613

三、場景理解(Scene Understanding)

四、Poster Session 2

Single Image Dehazing via Multi-scale Convolutional Neural Networks
P2, pp. 154-169

A Cluster Sampling Method for Image Matting via Sparse Coding
P2, pp. 204-219

Accelerating the Super-Resolution Convolutional Neural Network
P2, pp. 391-407

Higher Order Conditional Random Fields in Deep Neural Networks
P2, pp. 524-540

Natural Image Matting Using Deep Convolutional Neural Networks
P2, pp. 626-643

Perceptual Losses for Real-Time Style Transfer and Super-Resolution
P2, pp. 694-711

五、Optimization(優化)

六、Poster Session 3

A Neural Approach to Blind Motion Deblurring
P3, pp. 221-235

Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation
P3, pp 519-534

七、影象和視訊處理(Image and Video Processing)

The Fast Bilateral Solver
P3, pp. 617-632

Colorful Image Colorization
P3, pp. 649-666

八、Poster Session 4

Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
P3, pp. 702-716

HFS: Hierarchical Feature Selection for Efficient Image Segmentation
P3, pp. 867-882

Deep Joint Image Filtering
P4, pp. 154-169

Generative Image Modeling Using Style and Structure Adversarial Networks
P4, pp. 318-335

A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
P4, pp. 354-370

九、學習(Learning)

Learning Representations for Automatic Colorization
P4, pp. 577-593

Identity Mappings in Deep Residual Networks
P4, pp. 630-645

Deep Networks with Stochastic Depth
P4, pp. 646-661

十、Poster Session 5

十一、動作、活動和跟蹤(Action, Activity and Tracking)

十二、Poster Session 6

十三、3D

十四、Poster Session 7

十五、Poster Session 8

十六、Poster Session 9