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08/14/2023
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields
Recently, Neural Radiance Field (NeRF) has shown great success in render...
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05/02/2023
AutoColor: Learned Light Power Control for Multi-Color Holograms
Multi-color holograms rely on simultaneous illumination from multiple li...
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03/16/2023
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU
Recent years have witnessed impressive progress in super-resolution (SR)...
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02/14/2023
Underwater target detection based on improved YOLOv7
Underwater target detection is a crucial aspect of ocean exploration. Ho...
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01/21/2023
Recurrent Contour-based Instance Segmentation with Progressive Learning
Contour-based instance segmentation has been actively studied, thanks to...
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01/18/2023
Dirichlet-Neumann learning algorithm for solving elliptic interface problems
Non-overlapping domain decomposition methods are natural for solving int...
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09/15/2022
Color-Perception-Guided Display Power Reduction for Virtual Reality
Battery life is an increasingly urgent challenge for today's untethered ...
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07/21/2022
Domain Decomposition Learning Methods for Solving Elliptic Problems
With the aid of hardware and software developments, there has been a sur...
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05/12/2022
A Chit-Chats Enhanced Task-Oriented Dialogue Corpora for Fuse-Motive Conversation Systems
The goal of building intelligent dialogue systems has largely been separ...
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05/05/2022
Image Features Influence Reaction Time: A Learned Probabilistic Perceptual Model for Saccade Latency
We aim to ask and answer an essential question "how quickly do we react ...
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12/10/2021
Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks
Gradient-based methods for the distributed training of residual networks...
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08/10/2021
Gaze-Contingent Retinal Speckle Suppression for Perceptually-Matched Foveated Holographic Displays
Computer-generated holographic (CGH) displays show great potential and a...
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06/05/2021
A finite element method for two-phase flow with material viscous interface
This paper studies a model of two-phase flow with an immersed material v...
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05/29/2021
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview
Object pose detection and tracking has recently attracted increasing att...
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03/30/2021
Foveated Neural Radiance Fields for Real-Time and Egocentric Virtual Reality
Traditional high-quality 3D graphics requires large volumes of fine-deta...
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03/08/2021
Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm
Merging into the highway from the on-ramp is an essential scenario for a...
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02/23/2021
Recurrent Model Predictive Control
This paper proposes an off-line algorithm, called Recurrent Model Predic...
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02/16/2021
Steadily Learn to Drive with Virtual Memory
Reinforcement learning has shown great potential in developing high-leve...
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01/24/2021
An unfitted finite element method for two-phase Stokes problems with slip between phases
We present an isoparametric unfitted finite element approach of the CutF...
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10/15/2020
DialogueTRM: Exploring the Intra- and Inter-Modal Emotional Behaviors in the Conversation
Emotion Recognition in Conversations (ERC) is essential for building emp...
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09/03/2020
Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks
Algorithms for training residual networks (ResNets) typically require fo...
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08/04/2020
Deep Multi Depth Panoramas for View Synthesis
We propose a learning-based approach for novel view synthesis for multi-...
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02/28/2020
Mixed Reinforcement Learning with Additive Stochastic Uncertainty
Reinforcement learning (RL) methods often rely on massive exploration da...
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12/18/2019
Centralized Conflict-free Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization
Connected vehicles will change the modes of future transportation manage...
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11/26/2019
Deep adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints
This paper presents a constrained deep adaptive dynamic programming (CDA...
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10/01/2019
DiffTaichi: Differentiable Programming for Physical Simulation
We study the problem of learning and optimizing through physical simulat...
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05/17/2019
Learning to Reconstruct 3D Manhattan Wireframes from a Single Image
In this paper, we propose a method to obtain a compact and accurate 3D w...
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12/01/2018
Stochastic Training of Residual Networks: a Differential Equation Viewpoint
During the last few years, significant attention has been paid to the st...
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09/20/2018
OpenMPL: An Open Source Layout Decomposer
Multiple patterning lithography has been widely adopted in advanced tech...
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06/02/2018
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling
Nonlocal neural networks have been proposed and shown to be effective in...
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05/30/2018
Deep Learning-based Intelligent Dual Connectivity for Mobility Management in Dense Network
Ultra-dense network deployment has been proposed as a key technique for ...
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05/17/2018
Deep Reinforcement Learning for Network Slicing
Network slicing means an emerging business to operators and allows them ...
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08/20/2017
