位置：成果数据库 > 会议 > 会议详情页
Shape Band: A Deformable Object Detection Approach
  • 所属机构名称：华中科技大学
  • 会议名称：IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops
  • 成果类型：会议
  • 会场：Miami Beach, FL
  • 相关项目：广义凸分解理论及应用
作者： Liu, Wenyu|Bai, Xiang|Tu, Zhuowen|Li, Quannan|Latecki, Longin Jan|
同会议论文项目
广义凸分解理论及应用
期刊论文 23 会议论文 30 专利 3
同项目会议论文
Co-transduction for Shape Retrieval
Unsupervised clustering using graph transduction
Two-Step Coding For High Definition Video Compression
Arbitrary directional edge encoding schemes for the operational rate-distortion optimal shape coding
Efficient Data Collection with Sampling in WSNs: Making Use of Matrix Completion Techniques
Object Recognition Using Junctions
Shape matching using points co-occurrence pattern
A hybrid admissible distortion checking algorithm for the B-spline-based operational rate-distortion
Tracking Low Resolution Objects by Metric Preservation
Accurate distortion measurement using analytical model for the b-spline-based shape coding
A Symmetric KL Divergence Based Spatiogram Similarity Measure
Adaptive and Discriminative Metric Differential Tracking
Rapid shape retrieval using improved graph transduction
Active Skeleton for Non-rigid Object Detection
Feature Context for Image Classification and Object Detection
Shape matching and recognition using group-wised points
Accurate Distortion Measurement for B-Spline-Based Shape Coding
Multiple Feature Fusion for Object Tracking
CASE: Connectivity-based Skeleton Extraction in Wireless Sensor Networks
Perceptual relevance measure for generic shape coding
Integrating contour and skeleton for shape classification
Convex Shape Decomposition
Inference scene labeling by incorporating object detection with explicit shape model
Efficient Mobile Content Delivery Based on Co-route Prediction in Urban Transport
Minimum Near-Convex Decomposition for Robust Shape Representation
Image Labeling by Multiple Segmentation
Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning
Skeleton Graph Matching Based on Critical Points Using Path Similarity
Building a Robust Appearance Model for Object Tracking