Восстановить пароль
FAQ по входу

Fleet D., Pajdla T., Schiele B., Tuytelaars T. (Eds.) Computer Vision - ECCV 2014. Part I

  • Файл формата pdf
  • размером 125,84 МБ
  • Добавлен пользователем
  • Отредактирован
Fleet D., Pajdla T., Schiele B., Tuytelaars T. (Eds.) Computer Vision - ECCV 2014. Part I
Proceedings of 13th European Conference on Computer Vision: in 7 parts. — New York: Springer, 2014. — 853 p.
Tracking and Activity Recognition
Visual Tracking by Sampling Tree-Structured Graphical Models
Tracking Interacting Objects Optimally Using Integer Programming
Learning Latent Constituents for Recognition of Group Activities in Video
Large-Scale Object Classification Using Label Relation Graphs 30Hz Object Detection with DPM V5
Knowing a Good HOG Filter when You See It:
Efficient Selection of Filters for Detection
Linking People in Videos with “Their” Names Using Coreference Resolution
Poster Session 1
Optimal Essential Matrix Estimation via Inlier-Set Maximization
UPnP: An Optimal O(n) Solution to the Absolute Pose Problem with Universal Applicability
3D Reconstruction of Dynamic Textures in Crowd Sourced Data
3D Interest Point Detection via Discriminative Learning
Pose Locality Constrained Representation for 3D Human Pose Reconstruction
Synchronization of Two Independently Moving Cameras without Feature Correspondences
Multi Focus Structured Light for Recovering Scene Shape and Global Illumination
Coplanar Common Points in Non-centric Cameras
SRA: Fast Removal of General Multipath for ToF Sensors
Sub-pixel Layout for Super-Resolution with Images in the Octic Group
Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition
Read My Lips: Continuous Signer Independent Weakly Supervised Viseme Recognition
Multilinear Wavelets: A Statistical Shape Space for Human Faces
Distance Estimation of an Unknown Person from a Portrait
Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model
Description-Discrimination Collaborative Tracking
Online, Real-Time Tracking Using a Category-to-Individual Detector
Robust Visual Tracking with Double Bounding Box Model
Tractable and Reliable Registration of 2D Point Sets
Graduated Consistency-Regularized Optimization for Multi-graph Matching
Optical Flow Estimation with Channel Constancy
Non-local Total Generalized Variation for Optical Flow Estimation
Learning Brightness Transfer Functions for the Joint Recovery of Illumination Changes and Optical Flow
Hipster Wars: Discovering Elements of Fashion Styles
From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields
Fast and Accurate Texture Recognition with Multilayer Convolution and Multifractal Analysis
Learning to Rank 3D Features
Salient Color Names for Person Re-identification
Learning Discriminative and Shareable Features for Scene Classification
Image Retrieval and Ranking via Consistently Reconstructing Multi-attribute Queries
Neural Codes for Image Retrieval
Architectural Style Classification Using Multinomial Latent Logistic Regression
Instance Segmentation of Indoor Scenes Using a Coverage Loss
Superpixel Graph Label Transfer with Learned Distance Metric
Precision-Recall-Classification Evaluation Framework: Application to Depth Estimation on Single Images
A Multi-stage Approach to Curve Extraction
Geometry Driven Semantic Labeling of Indoor Scenes
A Novel Topic-Level Random Walk Framework for Scene Image Co-segmentation
Surface Matching and Registration by Landmark Curve-Driven Canonical Quasiconformal Mapping
Motion Words for Videos
Activity Group Localization by Modeling the Relations amongParticipants
Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach
Semantic Aware Video Transcription Using Random Forest Classifiers
Ranking Domain-Specific Highlights by Analyzing Edited Videos
A Multi-transformational Model for Background Subtraction with Moving Cameras
Learning and Inference
Visualizing and Understanding Convolutional Networks
Part-Based R-CNNs for Fine-Grained Category Detection
  • Чтобы скачать этот файл зарегистрируйтесь и/или войдите на сайт используя форму сверху.
  • Регистрация