Index for ni_b

Ni, B. Co Author Listing * Crowd Counting via Adversarial Cross-Scale Consistency Pursuit
* Crowded Scene Analysis: A Survey
* Enhancing pulmonary nodule detection via cross-modal alignment
* Fine-Grained Video Captioning for Sports Narrative
* First-Person Daily Activity Recognition With Manipulated Object Proposals and Non-Linear Feature Fusion
* Flexible Network Binarization with Layer-Wise Priority
* Histogram Contextualization
* Image Classification by Selective Regularized Subspace Learning
* Investigation on the Occurrence of Mid-Latitude E-Region Irregularity by Wuhan VHF Radar and Its Relationship With Sporadic E layer
* Learning to Photograph: A Compositional Perspective
* Multiple Granularity Group Interaction Prediction
* Pose Transferrable Person Re-identification
* Rain removal via residual generation cascading
* Recurrent Modeling of Interaction Context for Collective Activity Recognition
* Uniface: A Unified Network for Face Detection and Recognition
* Video Object Segmentation Via Dense Trajectories
* Video Segmentation via Multiple Granularity Analysis
* Web Image and Video Mining Towards Universal and Robust Age Estimator
* Zero-Shot Action Recognition with Error-Correcting Output Codes
19 for Ni, B.

Ni, B.B.[Bing Bing] Co Author Listing * Articulated Object Registration Using Simulated Physical Force/Moment for 3D Human Motion Tracking
* BEST: Benchmark and Evaluation of Surveillance Task
* Beta Process Multiple Kernel Learning
* Binary Coding for Partial Action Analysis with Limited Observation Ratios
* Cascaded Interactional Targeting Network for Egocentric Video Analysis
* Contextualizing histogram
* Deep Regression Tracking with Shrinkage Loss
* Depth Camera Based Fall Recognition System for the Elderly, A
* distance measure between labeled combinatorial maps, A
* Efficient region-aware large graph construction towards scalable multi-label propagation
* Egocentric Activity Prediction via Event Modulated Attention
* Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection
* Geometric LP-norm feature pooling for image classification
* HCP: A Flexible CNN Framework for Multi-Label Image Classification
* High-Order Local Spatial Context Modeling by Spatialized Random Forest
* Hybrid Framework for 3-D Human Motion Tracking, A
* Image Re-Attentionizing
* Integrating multi-stage depth-induced contextual information for human action recognition and localization
* Interaction part mining: A mid-level approach for fine-grained action recognition
* Learning explicit video attributes from mid-level representation for video captioning
* Learning universal multi-view age estimator using video context
* Manipulation Pattern Discovery: A Nonparametric Bayesian Approach
* Mixture of Heterogeneous Attribute Analyzers for Human Action Detection
* Motion Part Regularization: Improving action recognition via trajectory group selection
* Multilevel Depth and Image Fusion for Human Activity Detection
* Multiple Granularity Analysis for Fine-Grained Action Detection
* Multiple Granularity Modeling: A Coarse-to-Fine Framework for Fine-grained Action Analysis
* Omni-range spatial contexts for visual classification
* Order Preserving Sparse Coding
* Order-Preserving Sparse Coding for Sequence Classification
* Performance Guaranteed Network Acceleration via High-Order Residual Quantization
* Person Re-identification via Recurrent Feature Aggregation
* Pipelining Localized Semantic Features for Fine-Grained Action Recognition
* Pose Adaptive Motion Feature Pooling for Human Action Analysis
* Progressively Parsing Interactional Objects for Fine Grained Action Detection
* Recognizing human group activities with localized causalities
* RGBD-HuDaAct: A color-depth video database for human daily activity recognition
* Robust geometric LP-norm feature pooling for image classification and action recognition
* Scale-Transferrable Object Detection
* Structure Preserving Video Prediction
* Temporal Action Localization with Pyramid of Score Distribution Features
* Touch Saliency: Characteristics and Prediction
* When Correlation Filters Meet Convolutional Neural Networks for Visual Tracking
* YouTubeEvent: On large-scale video event classification
Includes: Ni, B.B.[Bing Bing] Ni, B.B.[Bing-Bing] Ni, B.B.
44 for Ni, B.B.

Index for "n"


Last update:18-May-19 16:46:03
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