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08/06/2023
InterTracker: Discovering and Tracking General Objects Interacting with Hands in the Wild
Understanding human interaction with objects is an important research to...
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07/27/2023
Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields
With the popularity of implicit neural representations, or neural radian...
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06/01/2023
Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation Models
In recent years, "U-shaped" neural networks featuring encoder and decode...
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03/17/2023
DexRepNet: Learning Dexterous Robotic Grasping Network with Geometric and Spatial Hand-Object Representations
Robotic dexterous grasping is a challenging problem due to the high degr...
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03/01/2023
Composite Optimization Algorithms for Sigmoid Networks
In this paper, we use composite optimization algorithms to solve sigmoid...
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11/21/2022
CBEAF-Adapting: Enhanced Continual Pretraining for Building Chinese Biomedical Language Model
Continual pretraining is a standard way of building a domain-specific pr...
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10/04/2022
ImmFusion: Robust mmWave-RGB Fusion for 3D Human Body Reconstruction in All Weather Conditions
3D human reconstruction from RGB images achieves decent results in good ...
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09/27/2022
Efficient View Path Planning for Autonomous Implicit Reconstruction
Implicit neural representations have shown promising potential for the 3...
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09/12/2022
mmBody Benchmark: 3D Body Reconstruction Dataset and Analysis for Millimeter Wave Radar
Millimeter Wave (mmWave) Radar is gaining popularity as it can work in a...
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08/26/2022
Splitting Method for Support Vector Machine with Lower Semi-continuous Loss
In this paper, we study the splitting method based on alternating direct...
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07/22/2022
NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction
Implicit neural representations have shown compelling results in offline...
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11/05/2021
Positive Definite Multi-Kernels for Scattered Data Interpolations
In this article, we use the knowledge of positive definite tensors to de...
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11/01/2021
Few-shot learning with improved local representations via bias rectify module
Recent approaches based on metric learning have achieved great progress ...
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09/07/2021
Regularized Learning in Banach Spaces
This article presents a different way to study the theory of regularized...
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07/19/2021
Sample Complexity of Learning Quantum Circuits
Quantum computers hold unprecedented potentials for machine learning app...
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04/08/2021
Geometry-based Distance Decomposition for Monocular 3D Object Detection
Monocular 3D object detection is of great significance for autonomous dr...
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07/09/2020
The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization
Realtime perceptual and interaction capabilities in mixed reality requir...
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06/07/2019
A Note on Lower Digits Extraction Polynomial for Bootstrapping
Bootstrapping is a crucial but computationally expensive step for realiz...
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11/29/2017
Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network
Hand pose estimation is to predict the pose parameters representing a 3D...
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07/07/2017
The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation
We present the 2017 Hands in the Million Challenge, a public competition...
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04/09/2017
BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis
In this paper we introduce a large-scale hand pose dataset, collected us...
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04/12/2016
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation
Discriminative methods often generate hand poses kinematically implausib...
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09/06/2012