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07/27/2023
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
With the overwhelming trend of mask image modeling led by MAE, generativ...
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01/11/2023
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers
In this paper, we present a new method that reformulates point cloud com...
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09/18/2022
Bootstrap Generalization Ability from Loss Landscape Perspective
Domain generalization aims to learn a model that can generalize well on ...
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08/04/2022
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
Nowadays, pre-training big models on large-scale datasets has become a c...
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08/04/2022
Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing
Demand estimation plays an important role in dynamic pricing where the o...
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08/03/2022
AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy
Computer-assisted minimally invasive surgery has great potential in bene...
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05/26/2022
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
Conventional point cloud semantic segmentation methods usually employ an...
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04/05/2022
Deep Graphic FBSDEs for Opinion Dynamics Stochastic Control
In this paper, we present a scalable deep learning approach to solve opi...
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01/19/2022
CyberRadar: A PUF-based Detecting and Mapping Framework for Physical Devices
The core issue of cyberspace detecting and mapping is to accurately iden...
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10/13/2021
Maximum Entropy Differential Dynamic Programming
In this paper, we present a novel maximum entropy formulation of the Dif...
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08/19/2021
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
Point clouds captured in real-world applications are often incomplete du...
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08/12/2021
Towards Interpretable Deep Metric Learning with Structural Matching
How do the neural networks distinguish two images? It is of critical imp...
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08/09/2021
Data-guided Treatment Recommendation with Feature Scores
In this paper, we consider the use of large-scale genomics data for trea...
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08/09/2021
Spatial-Temporal Deep Intention Destination Networks for Online Travel Planning
Nowadays, artificial neural networks are widely used for users' online t...
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08/05/2021
LHRM: A LBS based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel Platform
Most current recommender systems used the historical behaviour data of u...
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08/05/2021
Itinerary-aware Personalized Deep Matching at Fliggy
Matching items for a user from a travel item pool of large cardinality h...
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04/01/2021
Variational Inference MPC using Tsallis Divergence
In this paper, we provide a generalized framework for Variational Infere...
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12/02/2020
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
In this paper, we propose Point-Voxel Recurrent All-Pairs Field Transfor...
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11/21/2020
Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games
In this paper, we present a deep learning framework for solving large-sc...
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09/02/2020
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs
This paper introduces a new formulation for stochastic optimal control a...
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09/02/2020
Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search
We present a general framework for optimizing the Conditional Value-at-R...
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06/22/2020
Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control
In this work we propose the use of adaptive stochastic search as a build...
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06/11/2019
Deep Forward-Backward SDEs for Min-max Control
This paper presents a novel approach to numerically solve stochastic dif...
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06/11/2019
Deep 2FBSDEs for Systems with Control Multiplicative Noise
We present a deep recurrent neural network architecture to solve a class...
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02/11/2019
Neural Network Architectures for Stochastic Control using the Nonlinear Feynman-Kac Lemma
In this paper we propose a new methodology for decision-making under unc...
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11/30/2018
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies
This work presents a novel ensemble of Bayesian Neural Networks (BNNs) f...
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07/12/2018
Immersion on the Edge: A Cooperative Framework for Mobile Immersive Computing
Immersive computing (IC) technologies such as virtual reality and augmen...
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07/12/2018