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AIM 2020 Challenge on Rendering Realistic Bokeh
This paper reviews the second AIM realistic bokeh effect rendering chall...
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On Efficient and Robust Metrics for RANSAC Hypotheses and 3D Rigid Registration
This paper focuses on developing efficient and robust evaluation metrics...
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3D Correspondence Grouping with Compatibility Features
We present a simple yet effective method for 3D correspondence grouping....
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Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
We formulate counting as a sequential decision problem and present a nov...
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ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification
Face verification can be regarded as a 2-class fine-grained visual recog...
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P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds
Towards 3D object tracking in point clouds, a novel point-to-box network...
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3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
To facilitate depth-based 3D action recognition, 3D dynamic voxel (3DV) ...
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Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
In this work, we study how well different type of approaches generalise ...
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LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching
The local reference frame (LRF) acts as a critical role in 3D local shap...
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From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting
Visual counting, a task that aims to estimate the number of objects from...
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Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology
Point cloud analysis is a basic task in 3D computer vision, which attrac...
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Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence
Matching corresponding features between two images is a fundamental task...
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A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
For 3D hand and body pose estimation task in depth image, a novel anchor...
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From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer
Visual counting, a task that predicts the number of objects from an imag...
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Comparative evaluation of 2D feature correspondence selection algorithms
Correspondence selection aiming at seeking correct feature correspondenc...
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Learning to Fuse Local Geometric Features for 3D Rigid Data Matching
This paper presents a simple yet very effective data-driven approach to ...
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NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences
Feature correspondence selection is pivotal to many feature-matching bas...
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Towards Real-time Eyeblink Detection in The Wild:Dataset,Theory and Practices
Effective and real-time eyeblink detection is of wide-range applications...
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Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification
Person re-identification is indeed a challenging visual recognition task...
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Deep attention-based classification network for robust depth prediction
In this paper, we present our deep attention-based classification (DABC)...
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Action Recognition for Depth Video using Multi-view Dynamic Images
Dynamic image is the recently emerged action representation paradigm abl...
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Monocular Depth Estimation with Augmented Ordinal Depth Relationships
Most existing algorithms for depth estimation from single monocular imag...
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Performance Evaluation of 3D Correspondence Grouping Algorithms
This paper presents a thorough evaluation of several widely-used 3D corr...
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When Unsupervised Domain Adaptation Meets Tensor Representations
Domain adaption (DA) allows machine learning methods trained on data sam...
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TasselNet: Counting maize tassels in the wild via local counts regression network
Accurately counting maize tassels is important for monitoring the growth...
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