b'Qi Sun'

research

∙ 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...

0 Zeke Xie, et al. ∙

research

∙ 05/02/2023

AutoColor: Learned Light Power Control for Multi-Color Holograms

Multi-color holograms rely on simultaneous illumination from multiple li...

0 Yicheng Zhan, et al. ∙

research

∙ 03/16/2023

A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU

Recent years have witnessed impressive progress in super-resolution (SR)...

0 Wenqian Zhao, et al. ∙

research

∙ 02/14/2023

Underwater target detection based on improved YOLOv7

Underwater target detection is a crucial aspect of ocean exploration. Ho...

0 Kaiyue Liu, et al. ∙

research

∙ 01/21/2023

Recurrent Contour-based Instance Segmentation with Progressive Learning

Contour-based instance segmentation has been actively studied, thanks to...

0 Hao Feng, et al. ∙

research

∙ 01/18/2023

Dirichlet-Neumann learning algorithm for solving elliptic interface problems

Non-overlapping domain decomposition methods are natural for solving int...

0 Qi Sun, et al. ∙

research

∙ 09/15/2022

Color-Perception-Guided Display Power Reduction for Virtual Reality

Battery life is an increasingly urgent challenge for today's untethered ...

0 Budmonde Duinkharjav, et al. ∙

research

∙ 07/21/2022

Domain Decomposition Learning Methods for Solving Elliptic Problems

With the aid of hardware and software developments, there has been a sur...

0 Qi Sun, et al. ∙

research

∙ 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...

0 Changhong Yu, et al. ∙

research

∙ 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 ...

0 Budmonde Duinkharjav, et al. ∙

research

∙ 12/10/2021

Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks

Gradient-based methods for the distributed training of residual networks...

0 Qi Sun, et al. ∙

research

∙ 08/10/2021

Gaze-Contingent Retinal Speckle Suppression for Perceptually-Matched Foveated Holographic Displays

Computer-generated holographic (CGH) displays show great potential and a...

0 Praneeth Chakravarthula, et al. ∙

research

∙ 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...

0 Maxim Olshanskii, et al. ∙

research

∙ 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...

0 Zhaoxin Fan, et al. ∙

research

∙ 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...

0 Nianchen Deng, et al. ∙

research

∙ 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...

0 Yiting Kong, et al. ∙

research

∙ 02/23/2021

Recurrent Model Predictive Control

This paper proposes an off-line algorithm, called Recurrent Model Predic...

0 Zhengyu Liu, et al. ∙

research

∙ 02/16/2021

Steadily Learn to Drive with Virtual Memory

Reinforcement learning has shown great potential in developing high-leve...

0 Yuhang Zhang, et al. ∙

research

∙ 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...

0 Maxim Olshanskii, et al. ∙

research

∙ 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...

0 Yuzhao Mao, et al. ∙

research

∙ 09/03/2020

Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks

Algorithms for training residual networks (ResNets) typically require fo...

0 Qi Sun, et al. ∙

research

∙ 08/04/2020

Deep Multi Depth Panoramas for View Synthesis

We propose a learning-based approach for novel view synthesis for multi-...

1 Kai-En Lin, et al. ∙

research

∙ 02/28/2020

Mixed Reinforcement Learning with Additive Stochastic Uncertainty

Reinforcement learning (RL) methods often rely on massive exploration da...

30 Yao Mu, et al. ∙

research

∙ 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...

0 Yang Guan, et al. ∙

research

∙ 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...

0 Jingliang Duan, et al. ∙

research

∙ 10/01/2019

DiffTaichi: Differentiable Programming for Physical Simulation

We study the problem of learning and optimizing through physical simulat...

29 Yuanming Hu, et al. ∙

research

∙ 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...

0 Yichao Zhou, et al. ∙

research

∙ 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...

0 Qi Sun, et al. ∙

research

∙ 09/20/2018

OpenMPL: An Open Source Layout Decomposer

Multiple patterning lithography has been widely adopted in advanced tech...

0 Wei Li, et al. ∙

research

∙ 06/02/2018

Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling

Nonlocal neural networks have been proposed and shown to be effective in...

0 Yunzhe Tao, et al. ∙

research

∙ 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 ...

0 Chujie Wang, et al. ∙

research

∙ 05/17/2018

Deep Reinforcement Learning for Network Slicing

Network slicing means an emerging business to operators and allows them ...

0 Zhifeng Zhao, et al. ∙

research

∙ 08/20/2017

Perceptual Studies for Foveated Light Field Displays

The human visual system can resolve higher spatial frequencies in the fo...

0 Joohwan Kim, et al. ∙

Qi Sun

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