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歐陽萬里教授
(已離職)
中大研究成果
1/2
3D Human Pose Estimation in the Wild by Adversarial Learning
(
2018
)
Crafting GBD-Net for Object Detection
(
2018
)
Jointly learning deep features, deformable parts, occlusion and classification for pedestrian detection
(
2018
)
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
(
2018
)
DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks
(
2017
)
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
(
2017
)
Multi-Context Attention for Human Pose Estimation
(
2017
)
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation
(
2017
)
Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism
(
2017
)
ViP-CNN: Visual Phrase Guided Convolutional Neural Network
(
2017
)
CRF-CNN: Modelling Structured Information in Human Pose Estimation
(
2016
)
End-to-end learning of deformable mixture of parts and deep convolutional neural networks for human pose estimation
(
2016
)
Factors in finetuning deep model for object detection with long-tail distribution
(
2016
)
Gated Bi-directional CNN for Object Detection
(
2016
)
Learnable Histogram: Statistical Context Features for Deep Neural Networks
(
2016
)
Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
(
2016
)
Learning deep representation with large-scale attributes
(
2016
)
Learning Mutual Visibility Relationship for Pedestrian Detection with a Deep Model
(
2016
)
Multi-bias Non-linear Activation in Deep Neural Networks
(
2016
)
Multiple Bias on Non-linearity Activation in Deep Neural Networks
(
2016
)
Multi-task recurrent neural network for immediacy prediction
(
2016
)
Object detection from video tubelets with Convolutional Neural Networks
(
2016
)
"Person Re-identification by Saliency Learning"
(
2016
)
STCT: Sequentially training convolutional networks for visual tracking
(
2016
)
Structured feature learning for pose estimation
(
2016
)
Visual tracking with fully convolutional networks
(
2016
)
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
(
2015
)
DeepID-Net: Deformable deep convolutional neural networks for object detection
(
2015
)
Object Detection in Videos with TubeLets and Multi-Context Cues
(
2015
)
Saliency detection by multi-context deep learning
(
2015
)
Single-pedestrian detection aided by two-pedestrian detection
(
2015
)
Deep learning of scene-specific classifier for pedestrian detection
(
2014
)
Learning mid-level filters for person re-identification
(
2014
)
Multi-source Deep Learning for Human Pose Estimation
(
2014
)
Simplifying HOG Arithmetic for Speedy Hardware Realization
(
2014
)
Joint deep learning for pedestrian detection
(
2013
)
Modeling mutual visibility relationship in pedestrian detection
(
2013
)
Person re-identification by salience matching
(
2013
)
Segmented gray-code kernels for fast pattern matching
(
2013
)
Single-pedestrian detection aided by multi-pedestrian detection
(
2013
)
Unsupervised Salience Learning for Person Re-identification
(
2013
)
A Discriminative Deep Model for Pedestrian Detection with Occlusion Handling
(
2012
)
Performance evaluation of full search equivalent Pattern matching algorithms
(
2012
)
Adaptive low resolution pruning for fast full search-equivalent pattern matching
(
2011
)
Image postprocessing by Non-local Kuan's filter
(
2011
)
Fast algorithm for walsh hadamard transform on sliding windows
(
2010
)
Fast pattern matching using Black Sheep algorithm
(
2010
)
Fast pattern matching using orthogonal Haar transform
(
2010
)
Image deblocking using dual adaptive FIR Wiener filter in the DCT transform domain
(
2009
)
IMAGE MULTI-SCALE EDGE DETECTION USING 3-D HIDDEN MARKOV MODEL BASED ON THE NON-DECIMATED WAVELET
(
2009
)
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