b'Lei Yu'

research

∙ 07/18/2022

MAD for Robust Reinforcement Learning in Machine Translation

We introduce a new distributed policy gradient algorithm and show that i...

Domenic Donato, et al. ∙

research

∙ 06/28/2022

Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark

Tiny object detection (TOD) in aerial images is challenging since a tiny...

Chang Xu, et al. ∙

research

∙ 06/06/2022

Exploring the Potential of SAR Data for Cloud Removal in Optical Satellite Imagery

The challenge of the cloud removal task can be alleviated with the aid o...

Fang Xu, et al. ∙

research

∙ 05/16/2022

Exponents for Concentration of Measure and Isoperimetry in Product Spaces

In this paper, we provide variational formulas for the asymptotic expone...

Lei Yu, et al. ∙

research

∙ 05/12/2022

Noun2Verb: Probabilistic frame semantics for word class conversion

Humans can flexibly extend word usages across different grammatical clas...

Lei Yu, et al. ∙

research

∙ 04/28/2022

Learning to Extract Building Footprints from Off-Nadir Aerial Images

Extracting building footprints from aerial images is essential for preci...

Jinwang Wang, et al. ∙

research

∙ 04/18/2022

BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment

This work addresses the Burst Super-Resolution (BurstSR) task using a ne...

Ziwei Luo, et al. ∙

research

∙ 04/12/2022

On the Rate-Distortion-Perception Function

Rate-distortion-perception theory generalizes Shannon's rate-distortion ...

Jun Chen, et al. ∙

research

∙ 03/23/2022

Autofocus for Event Cameras

Focus control (FC) is crucial for cameras to capture sharp images in cha...

Shijie Lin, et al. ∙

research

∙ 03/23/2022

Unifying Motion Deblurring and Frame Interpolation with Events

Slow shutter speed and long exposure time of frame-based cameras often c...

Xiang Zhang, et al. ∙

research

∙ 03/16/2022

Backpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning

We introduce Backpropagation Through Time and Space (BPTTS), a method fo...

Elliot Way, et al. ∙

research

∙ 02/23/2022

Enabling arbitrary translation objectives with Adaptive Tree Search

We introduce an adaptive tree search algorithm, that can find high-scori...

Wang Ling, et al. ∙

research

∙ 02/15/2022

Deep Constrained Least Squares for Blind Image Super-Resolution

In this paper, we tackle the problem of blind image super-resolution(SR)...

Ziwei Luo, et al. ∙

research

∙ 02/15/2022

Documentation based Semantic-Aware Log Parsing

With the recent advances of deep learning techniques, there are rapidly ...

Lei Yu, et al. ∙

research

∙ 02/07/2022

Sequential Channel Synthesis

The channel synthesis problem has been widely investigated over the last...

Lei Yu, et al. ∙

research

∙ 01/25/2022

Serving Deep Learning Models with Deduplication from Relational Databases

There are significant benefits to serve deep learning models from relati...

Lixi Zhou, et al. ∙

research

∙ 10/26/2021

A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

Detecting tiny objects is a very challenging problem since a tiny object...

Jinwang Wang, et al. ∙

research

∙ 09/28/2021

Motion Deblurring with Real Events

In this paper, we propose an end-to-end learning framework for event-bas...

Fang Xu, et al. ∙

research

∙ 09/10/2021

Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining

Natural language relies on a finite lexicon to express an unbounded set ...

Lei Yu, et al. ∙

research

∙ 06/07/2021

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results

This paper reviews the NTIRE2021 challenge on burst super-resolution. Gi...

Goutam Bhat, et al. ∙

research

∙ 06/07/2021

Diverse Pretrained Context Encodings Improve Document Translation

We propose a new architecture for adapting a sentence-level sequence-to-...

Domenic Donato, et al. ∙

research

∙ 06/07/2021

The Convexity and Concavity of Envelopes of the Minimum-Relative-Entropy Region for the DSBS

In this paper, we prove that for the doubly symmetric binary distributio...

Lei Yu, et al. ∙

research

∙ 04/18/2021

On the Φ-Stability and Related Conjectures

Let 𝐗 be a random variable uniformly distributed on the discrete cube { ...

Lei Yu, et al. ∙

research

∙ 03/18/2021

Pretraining the Noisy Channel Model for Task-Oriented Dialogue

Direct decoding for task-oriented dialogue is known to suffer from the e...

Qi Liu, et al. ∙

research

∙ 03/03/2021

Event-based Synthetic Aperture Imaging with a Hybrid Network

Synthetic aperture imaging (SAI) is able to achieve the see through effe...

Xiang Zhang, et al. ∙

research

∙ 02/13/2021

Strong Brascamp-Lieb Inequalities

In this paper, we derive sharp nonlinear dimension-free Brascamp-Lieb in...

Lei Yu, et al. ∙

research

∙ 02/01/2021

Graphs of Joint Types, Noninteractive Simulation, and Stronger Hypercontractivity

In this paper, we introduce the concept of a type graph, namely a bipart...

Lei Yu, et al. ∙

research

∙ 11/16/2020

MAAC: Novel Alert Correlation Method To Detect Multi-step Attack

With the continuous improvement of attack methods, there are more and mo...

Xiaoyu Wang, et al. ∙

research

∙ 11/06/2020

ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras

Line segment detection is essential for high-level tasks in computer vis...

Hao Li, et al. ∙

research

∙ 10/16/2020

Inferring symmetry in natural language

We present a methodological framework for inferring symmetry of verb pre...

Chelsea Tanchip, et al. ∙

research

∙ 08/27/2020

Mixed Noise Removal with Pareto Prior

Denoising images contaminated by the mixture of additive white Gaussian ...

Zhou Liu, et al. ∙

research

∙ 08/14/2020

Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor

Lane marker extraction is a basic yet necessary task for autonomous driv...

Wensheng Cheng, et al. ∙

research

∙ 07/16/2020

Event Enhanced High-Quality Image Recovery

With extremely high temporal resolution, event cameras have a large pote...

Bishan Wang, et al. ∙

research

∙ 07/13/2020

Implicit Euler ODE Networks for Single-Image Dehazing

Deep convolutional neural networks (CNN) have been applied for image deh...

Jiawei Shen, et al. ∙

research

∙ 06/13/2020

Modelling High-Level Mathematical Reasoning in Mechanised Declarative Proofs

Mathematical proofs can be mechanised using proof assistants to eliminat...

Wenda Li, et al. ∙

research

∙ 03/11/2020

Capturing document context inside sentence-level neural machine translation models with self-training

Neural machine translation (NMT) has arguably achieved human level parit...

Elman Mansimov, et al. ∙

research

∙ 03/02/2020

Matching Neuromorphic Events and Color Images via Adversarial Learning

The event camera has appealing properties: high dynamic range, low laten...

Fang Xu, et al. ∙

research

∙ 02/09/2020

Edge-Isoperimetric Inequalities and Ball-Noise Stability: Linear Programming and Probabilistic Approaches

Let Q_n^r be the r-power of the hypercube {-1,1}^n. The discrete edge-is...

Lei Yu, et al. ∙

research

∙ 12/04/2019

Asymptotics for Strassen's Optimal Transport Problem

In this paper, we consider Strassen's version of optimal transport probl...

Lei Yu, et al. ∙

research

∙ 12/04/2019

Asymptotics of Strassen's Optimal Transport Problem

In this paper, we consider Strassen's version of optimal transport probl...

Lei Yu, et al. ∙

research

∙ 11/21/2019

Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability

Membership inference attacks seek to infer the membership of individual ...

Stacey Truex, et al. ∙

research

∙ 11/03/2019

Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning

Two hitherto disconnected threads of research, diverse exploration (DE) ...

Andrew Cohen, et al. ∙

research

∙ 10/21/2019

An Improved Linear Programming Bound on the Average Distance of a Binary Code

Ahlswede and Katona (1977) posed the following isodiametric problem in H...

Lei Yu, et al. ∙

research

∙ 10/18/2019

A Mutual Information Maximization Perspective of Language Representation Learning

We show state-of-the-art word representation learning methods maximize a...

Lingpeng Kong, et al. ∙

research

∙ 10/11/2019

Learning Cluster Structured Sparsity by Reweighting

Recently, the paradigm of unfolding iterative algorithms into finite-len...

Yulun Jiang, et al. ∙

research

∙ 10/01/2019

Putting Machine Translation in Context with the Noisy Channel Model

We show that Bayes' rule provides a compelling mechanism for controlling...

Lei Yu, et al. ∙

research

∙ 08/18/2019

Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks

Learning Rate (LR) is an important hyper-parameter to tune for effective...

Yanzhao Wu, et al. ∙

research

∙ 08/03/2019

CRNet: Image Super-Resolution Using A Convolutional Sparse Coding Inspired Network

Convolutional Sparse Coding (CSC) has been attracting more and more atte...

Menglei Zhang, et al. ∙

research

∙ 07/17/2019

Deep learning scheme for microwave photonic analog broadband signal recovery

In regular microwave photonic (MWP) processing paradigms, broadband sign...

Shaofu Xu, et al. ∙

research

∙ 04/20/2019

Facial Feature Embedded CycleGAN for VIS-NIR Translation

VIS-NIR face recognition remains a challenging task due to the distincti...

Huijiao Wang, et al. ∙

Lei Yu

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