b'Xin Lu'

research

∙ 09/07/2023

Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning

Motion planning is the soul of robot decision making. Classical planning...

0 Chengmin Zhou, et al. ∙

research

∙ 09/05/2023

Debiased Regression Adjustment in Completely Randomized Experiments with Moderately High-dimensional Covariates

Completely randomized experiment is the gold standard for causal inferen...

0 Xin Lu, et al. ∙

research

∙ 08/17/2023

Dr.Bokeh: DiffeRentiable Occlusion-aware Bokeh Rendering

Bokeh is widely used in photography to draw attention to the subject whi...

0 Yichen Sheng, et al. ∙

research

∙ 07/19/2023

Text2Layer: Layered Image Generation using Latent Diffusion Model

Layer compositing is one of the most popular image editing workflows amo...

0 Xinyang Zhang, et al. ∙

research

∙ 04/19/2023

Is ChatGPT Equipped with Emotional Dialogue Capabilities?

This report presents a study on the emotional dialogue capability of Cha...

0 Weixiang Zhao, et al. ∙

research

∙ 11/04/2022

Boosting Binary Neural Networks via Dynamic Thresholds Learning

Developing lightweight Deep Convolutional Neural Networks (DCNNs) and Vi...

0 Jiehua Zhang, et al. ∙

research

∙ 10/11/2022

Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning

Data in real-world object detection often exhibits the long-tailed distr...

0 Bo Li, et al. ∙

research

∙ 10/11/2022

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition

Long-tail distribution is widely spread in real-world applications. Due ...

8 Jingru Tan, et al. ∙

research

∙ 10/08/2022

Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness

As a critical step to achieve human-like chatbots, empathetic response g...

0 Weixiang Zhao, et al. ∙

research

∙ 10/07/2022

Neighbor Regularized Bayesian Optimization for Hyperparameter Optimization

Bayesian Optimization (BO) is a common solution to search optimal hyperp...

0 Lei Cui, et al. ∙

research

∙ 10/01/2022

Tyranny-of-the-minority regression adjustment in randomized experiments

Regression adjustment is widely used for the analysis of randomized expe...

0 Xin Lu, et al. ∙

research

∙ 06/15/2022

Multiscale methods for signal selection in single-cell data

Analysis of single-cell transcriptomics often relies on clustering cells...

20 Renee S. Hoekzema, et al. ∙

research

∙ 06/08/2022

A Unified Model for Multi-class Anomaly Detection

Despite the rapid advance of unsupervised anomaly detection, existing me...

15 Zhiyuan You, et al. ∙

research

∙ 01/22/2022

Iterative Correlation-based Feature Refinement for Few-shot Counting

Few-shot counting aims to count objects of any class in an image given o...

11 Zhiyuan You, et al. ∙

research

∙ 12/19/2021

On Efficient Transformer and Image Pre-training for Low-level Vision

Pre-training has marked numerous state of the arts in high-level compute...

7 Wenbo Li, et al. ∙

research

∙ 12/08/2021

Revisiting Global Statistics Aggregation for Improving Image Restoration

Global spatial statistics, which are aggregated along entire spatial dim...

6 Xiaojie Chu, et al. ∙

research

∙ 10/08/2021

Dynamic Binary Neural Network by learning channel-wise thresholds

Binary neural networks (BNNs) constrain weights and activations to +1 or...

1 Jiehua Zhang, et al. ∙

research

∙ 05/17/2021

Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report

Image denoising is one of the most critical problems in mobile photo pro...

16 Andrey Ignatov, et al. ∙

research

∙ 05/13/2021

HINet: Half Instance Normalization Network for Image Restoration

In this paper, we explore the role of Instance Normalization in low-leve...

14 Liangyu Chen, et al. ∙

research

∙ 04/17/2021

RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features

The two-stage methods for instance segmentation, e.g. Mask R-CNN, have a...

39 Gang Zhang, et al. ∙

research

∙ 03/15/2021

A Transition-based Parser for Unscoped Episodic Logical Forms

"Episodic Logic:Unscoped Logical Form" (EL-ULF) is a semantic representa...

9 Gene Louis Kim, et al. ∙

research

∙ 12/15/2020

Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection

Recently proposed decoupled training methods emerge as a dominant paradi...

10 Jingru Tan, et al. ∙

research

∙ 09/24/2020

MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection

Modern object detection methods can be divided into one-stage approaches...

8 Xin Lu, et al. ∙

research

∙ 06/07/2020

Information Mandala: Statistical Distance Matrix with Its Clustering

In machine learning, observation features are measured in a metric space...

0 Xin Lu, et al. ∙

research

∙ 07/26/2019

Beyond the Coverage of Information Spreading: Analytical and Empirical Evidence of Re-exposure in Large-scale Online Social Networks

Peer influence and social contagion are key denominators in the adoption...

0 Xin Lu, et al. ∙

research

∙ 06/17/2019

MMDetection: Open MMLab Detection Toolbox and Benchmark

We present MMDetection, an object detection toolbox that contains a rich...

1 Kai Chen, et al. ∙

research

∙ 06/13/2019

Grid R-CNN Plus: Faster and Better

Grid R-CNN is a well-performed objection detection framework. It transfo...

3 Xin Lu, et al. ∙

research

∙ 04/15/2019

A deep learning framework for quality assessment and restoration in video endoscopy

Endoscopy is a routine imaging technique used for both diagnosis and min...

8 Sharib Ali, et al. ∙

research

∙ 02/19/2019

When Energy Trading meets Blockchain in Electrical Power System: The State of the Art

With the rapid growth of renewable energy resources, the energy trading ...

0 Naiyu Wang, et al. ∙

research

∙ 01/17/2019

Foreground-aware Image Inpainting

Existing image inpainting methods typically fill holes by borrowing info...

12 Wei Xiong, et al. ∙

research

∙ 11/29/2018

Grid R-CNN

This paper proposes a novel object detection framework named Grid R-CNN,...

14 Xin Lu, et al. ∙

research

∙ 08/07/2018

Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias

While machine learning approaches to visual emotion recognition offer gr...

4 Rameswar Panda, et al. ∙

research

∙ 07/25/2018

Flow-Grounded Spatial-Temporal Video Prediction from Still Images

Existing video prediction methods mainly rely on observing multiple hist...

0 Yijun Li, et al. ∙

research

∙ 06/10/2018

Free-Form Image Inpainting with Gated Convolution

We present a novel deep learning based image inpainting system to comple...

0 Jiahui Yu, et al. ∙

research

∙ 02/01/2018

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

Model pruning has become a useful technique that improves the computatio...

0 Jianbo Ye, et al. ∙

research

∙ 01/24/2018

MAttNet: Modular Attention Network for Referring Expression Comprehension

In this paper, we address referring expression comprehension: localizing...

0 Licheng Yu, et al. ∙

research

∙ 01/24/2018

Generative Image Inpainting with Contextual Attention

Recent deep learning based approaches have shown promising results on im...

0 Jiahui Yu, et al. ∙

research

∙ 10/17/2017

Scene Parsing with Global Context Embedding

We present a scene parsing method that utilizes global context informati...

0 Wei-Chih Hung, et al. ∙

research

∙ 05/23/2017

Universal Style Transfer via Feature Transforms

Universal style transfer aims to transfer arbitrary visual styles to con...

0 Yijun Li, et al. ∙

research

∙ 03/23/2017

Recurrent Multimodal Interaction for Referring Image Segmentation

In this paper we are interested in the problem of image segmentation giv...

0 Chenxi Liu, et al. ∙

research

∙ 03/05/2017

Diversified Texture Synthesis with Feed-forward Networks

Recent progresses on deep discriminative and generative modeling have sh...

0 Yijun Li, et al. ∙

research

∙ 02/28/2017

Deep Image Harmonization

Compositing is one of the most common operations in photo editing. To ge...

0 Yi-Hsuan Tsai, et al. ∙

research

∙ 11/30/2016

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

Recent advances in deep learning have shown exciting promise in filling ...

0 Chao Yang, et al. ∙

Xin Lu

Featured Co-authors