Search Results for author: Wei Sun

Found 100 papers, 27 papers with code

Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design

no code implementations22 Sep 2023 Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang

At the algorithm level, a bidirectional weight pruning method, dubbed BDWP, is proposed to leverage the N:M sparsity of weights during both forward and backward passes of DNN training, which can significantly reduce the computational cost while maintaining model accuracy.


Content Reduction, Surprisal and Information Density Estimation for Long Documents

no code implementations12 Sep 2023 Shaoxiong Ji, Wei Sun, Pekka Marttinen

We consider two interesting research questions: 1) how is information distributed over long documents, and 2) how does content reduction, such as token selection and text summarization, affect the information density in long documents.

Density Estimation Text Summarization

Joint Gaze-Location and Gaze-Object Detection

no code implementations26 Aug 2023 Danyang Tu, Wei Shen, Wei Sun, Xiongkuo Min, Guangtao Zhai

In contrast, we reframe the gaze following detection task as detecting human head locations and their gaze followings simultaneously, aiming at jointly detect human gaze location and gaze object in a unified and single-stage pipeline.

object-detection Object Detection

Agglomerative Transformer for Human-Object Interaction Detection

no code implementations ICCV 2023 Danyang Tu, Wei Sun, Guangtao Zhai, Wei Shen

We propose an agglomerative Transformer (AGER) that enables Transformer-based human-object interaction (HOI) detectors to flexibly exploit extra instance-level cues in a single-stage and end-to-end manner for the first time.

Clustering Human-Object Interaction Detection

StableVQA: A Deep No-Reference Quality Assessment Model for Video Stability

1 code implementation9 Aug 2023 Tengchuan Kou, Xiaohong Liu, Wei Sun, Jun Jia, Xiongkuo Min, Guangtao Zhai, Ning Liu

Indeed, most existing quality assessment models evaluate video quality as a whole without specifically taking the subjective experience of video stability into consideration.

Video Quality Assessment Video Stabilization +1

Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models

no code implementations26 Jul 2023 Wei Sun, Wen Wen, Xiongkuo Min, Long Lan, Guangtao Zhai, Kede Ma

By minimalistic, we restrict our family of BVQA models to build only upon basic blocks: a video preprocessor (for aggressive spatiotemporal downsampling), a spatial quality analyzer, an optional temporal quality analyzer, and a quality regressor, all with the simplest possible instantiations.

Blind Image Quality Assessment Video Quality Assessment +1

Advancing Zero-Shot Digital Human Quality Assessment through Text-Prompted Evaluation

1 code implementation6 Jul 2023 ZiCheng Zhang, Wei Sun, Yingjie Zhou, HaoNing Wu, Chunyi Li, Xiongkuo Min, Xiaohong Liu, Guangtao Zhai, Weisi Lin

To address this gap, we propose SJTU-H3D, a subjective quality assessment database specifically designed for full-body digital humans.

First Place Solution to the CVPR'2023 AQTC Challenge: A Function-Interaction Centric Approach with Spatiotemporal Visual-Language Alignment

1 code implementation23 Jun 2023 Tom Tongjia Chen, Hongshan Yu, Zhengeng Yang, Ming Li, Zechuan Li, Jingwen Wang, Wei Miao, Wei Sun, Chen Chen

Affordance-Centric Question-driven Task Completion (AQTC) has been proposed to acquire knowledge from videos to furnish users with comprehensive and systematic instructions.

Human-Object Interaction Detection

GMS-3DQA: Projection-based Grid Mini-patch Sampling for 3D Model Quality Assessment

1 code implementation9 Jun 2023 ZiCheng Zhang, Wei Sun, Houning Wu, Yingjie Zhou, Chunyi Li, Xiongkuo Min, Guangtao Zhai, Weisi Lin

Model-based 3DQA methods extract features directly from the 3D models, which are characterized by their high degree of complexity.

Point Cloud Quality Assessment

AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment

1 code implementation7 Jun 2023 Chunyi Li, ZiCheng Zhang, HaoNing Wu, Wei Sun, Xiongkuo Min, Xiaohong Liu, Guangtao Zhai, Weisi Lin

With the rapid advancements of the text-to-image generative model, AI-generated images (AGIs) have been widely applied to entertainment, education, social media, etc.

Image Quality Assessment

Learning Prescriptive ReLU Networks

no code implementations1 Jun 2023 Wei Sun, Asterios Tsiourvas

We study the problem of learning optimal policy from a set of discrete treatment options using observational data.

Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps

no code implementations24 May 2023 Mingxiao Li, Tingyu Qu, Wei Sun, Marie-Francine Moens

In this work, we conduct a systematic study of exposure bias in diffusion models and, intriguingly, we find that the exposure bias could be alleviated with a new sampling method, without retraining the model.


MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos

1 code implementation CVPR 2023 ZiCheng Zhang, Wei Wu, Wei Sun, Dangyang Tu, Wei Lu, Xiongkuo Min, Ying Chen, Guangtao Zhai

User-generated content (UGC) live videos are often bothered by various distortions during capture procedures and thus exhibit diverse visual qualities.

Video Quality Assessment Visual Question Answering (VQA)

A Perceptual Quality Assessment Exploration for AIGC Images

1 code implementation22 Mar 2023 ZiCheng Zhang, Chunyi Li, Wei Sun, Xiaohong Liu, Xiongkuo Min, Guangtao Zhai

\underline{AI} \underline{G}enerated \underline{C}ontent (\textbf{AIGC}) has gained widespread attention with the increasing efficiency of deep learning in content creation.

Image Quality Assessment

VDPVE: VQA Dataset for Perceptual Video Enhancement

1 code implementation16 Mar 2023 Yixuan Gao, Yuqin Cao, Tengchuan Kou, Wei Sun, Yunlong Dong, Xiaohong Liu, Xiongkuo Min, Guangtao Zhai

Few researchers have specifically proposed a video quality assessment method for video enhancement, and there is also no comprehensive video quality assessment dataset available in public.

Deblurring Video Enhancement +2

Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics Images

no code implementations14 Mar 2023 ZiCheng Zhang, Wei Sun, Tao Wang, Wei Lu, Quan Zhou, Jun He, Qiyuan Wang, Xiongkuo Min, Guangtao Zhai

Computer graphics images (CGIs) are artificially generated by means of computer programs and are widely perceived under various scenarios, such as games, streaming media, etc.

Image Quality Assessment

Full Point Encoding for Local Feature Aggregation in 3D Point Clouds

no code implementations8 Mar 2023 Yong He, Hongshan Yu, Zhengeng Yang, Xiaoyan Liu, Wei Sun, Ajmal Mian

In particular, we achieve state-of-the-art semantic segmentation results of 76% mIoU on S3DIS 6-fold and 72. 2% on S3DIS Area5.

object-detection Object Detection +1

Audio-Visual Quality Assessment for User Generated Content: Database and Method

no code implementations4 Mar 2023 Yuqin Cao, Xiongkuo Min, Wei Sun, XiaoPing Zhang, Guangtao Zhai

Specifically, we construct the first UGC AVQA database named the SJTU-UAV database, which includes 520 in-the-wild UGC audio and video (A/V) sequences, and conduct a user study to obtain the mean opinion scores of the A/V sequences.

Video Quality Assessment Visual Question Answering (VQA)

EEP-3DQA: Efficient and Effective Projection-based 3D Model Quality Assessment

no code implementations17 Feb 2023 ZiCheng Zhang, Wei Sun, Yingjie Zhou, Wei Lu, Yucheng Zhu, Xiongkuo Min, Guangtao Zhai

Currently, great numbers of efforts have been put into improving the effectiveness of 3D model quality assessment (3DQA) methods.

Scalable Optimal Multiway-Split Decision Trees with Constraints

no code implementations14 Feb 2023 Shivaram Subramanian, Wei Sun

However, existing MIP methods that build on an arc-based formulation do not scale well as the number of binary variables is in the order of $\mathcal{O}(2^dN)$, where $d$ and $N$ refer to the depth of the tree and the size of the dataset.

Learning Complementary Policies for Human-AI Teams

no code implementations6 Feb 2023 Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Wei Sun, Min Kyung Lee, Matthew Lease

We then extend our approach to leverage opportunities and mitigate risks that arise in important contexts in practice: 1) when a team is composed of multiple humans with differential and potentially complementary abilities, 2) when the observational data includes consistent deterministic actions, and 3) when the covariate distribution of future decisions differ from that in the historical data.

DDH-QA: A Dynamic Digital Humans Quality Assessment Database

1 code implementation24 Dec 2022 ZiCheng Zhang, Yingjie Zhou, Wei Sun, Wei Lu, Xiongkuo Min, Yu Wang, Guangtao Zhai

In recent years, large amounts of effort have been put into pushing forward the real-world application of dynamic digital human (DDH).

Video Quality Assessment

DQnet: Cross-Model Detail Querying for Camouflaged Object Detection

no code implementations16 Dec 2022 Wei Sun, Chengao Liu, Linyan Zhang, Yu Li, Pengxu Wei, Chang Liu, Jialing Zou, Jianbin Jiao, Qixiang Ye

Optimizing a convolutional neural network (CNN) for camouflaged object detection (COD) tends to activate local discriminative regions while ignoring complete object extent, causing the partial activation issue which inevitably leads to missing or redundant regions of objects.

object-detection Object Detection +1

Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning

no code implementations23 Nov 2022 Tingting Zhao, Ying Wang, Wei Sun, Yarui Chen, Gang Niub, Masashi Sugiyama

Meanwhile, we divide the whole learning task into learning with the large-scale representation models in an unsupervised manner and learning with the small-scale policy model in the RL manner. The small policy model facilitates policy learning, while not sacrificing generalization and expressiveness via the large representation model.

reinforcement-learning Reinforcement Learning (RL) +1

Perceptual Quality Assessment for Digital Human Heads

1 code implementation20 Sep 2022 ZiCheng Zhang, Yingjie Zhou, Wei Sun, Xiongkuo Min, Yuzhe Wu, Guangtao Zhai

Digital humans are attracting more and more research interest during the last decade, the generation, representation, rendering, and animation of which have been put into large amounts of effort.

MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment

1 code implementation1 Sep 2022 ZiCheng Zhang, Wei Sun, Xiongkuo Min, Quan Zhou, Jun He, Qiyuan Wang, Guangtao Zhai

In specific, we split the point clouds into sub-models to represent local geometry distortions such as point shift and down-sampling.

Point Cloud Quality Assessment

Treating Point Cloud as Moving Camera Videos: A No-Reference Quality Assessment Metric

no code implementations30 Aug 2022 ZiCheng Zhang, Wei Sun, Yucheng Zhu, Xiongkuo Min, Wei Wu, Ying Chen, Guangtao Zhai

Point cloud is one of the most widely used digital representation formats for three-dimensional (3D) contents, the visual quality of which may suffer from noise and geometric shift distortions during the production procedure as well as compression and downsampling distortions during the transmission process.

Image Quality Assessment Point Cloud Quality Assessment +2

Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics

no code implementations17 Aug 2022 Zhengyang Zhou, Yang Kuo, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang

To infer region-wise proximity under flexible factor-wise combinations and enable dynamic neighborhood aggregations, we further disentangle compounded influences of exogenous factors on region-wise proximity and learn to aggregate them.

Domain-invariant Prototypes for Semantic Segmentation

no code implementations12 Aug 2022 Zhengeng Yang, Hongshan Yu, Wei Sun, Li-Cheng, Ajmal Mian

In this paper, we present an easy-to-train framework that learns domain-invariant prototypes for domain adaptive semantic segmentation.

Domain Adaptation Few-Shot Learning +1

MLRIP: Pre-training a military language representation model with informative factual knowledge and professional knowledge base

no code implementations28 Jul 2022 Hui Li, Xuekang Yang, Xin Zhao, Lin Yu, Jiping Zheng, Wei Sun

Incorporating prior knowledge into pre-trained language models has proven to be effective for knowledge-driven NLP tasks, such as entity typing and relation extraction.

Entity Typing Relation Extraction

Constrained Prescriptive Trees via Column Generation

no code implementations20 Jul 2022 Shivaram Subramanian, Wei Sun, Youssef Drissi, Markus Ettl

We introduce a novel path-based mixed-integer program (MIP) formulation which identifies a (near) optimal policy efficiently via column generation.

A Distributionally Robust Resilience Enhancement Strategy for Distribution Networks Considering Decision-Dependent Contingencies

no code implementations2 Jul 2022 Yujia Li, Shunbo Lei, Wei Sun, Chenxi Hu, Yunhe Hou

When performing the resilience enhancement for distribution networks, there are two obstacles to reliably model the uncertain contingencies: 1) decision-dependent uncertainty (DDU) due to various line hardening decisions, and 2) distributional ambiguity due to limited outage information during extreme weather events (EWEs).

Subjective Quality Assessment for Images Generated by Computer Graphics

no code implementations10 Jun 2022 Tao Wang, ZiCheng Zhang, Wei Sun, Xiongkuo Min, Wei Lu, Guangtao Zhai

However, limited work has been put forward to tackle the problem of computer graphics generated images' quality assessment (CG-IQA).

No-Reference Image Quality Assessment

A No-reference Quality Assessment Metric for Point Cloud Based on Captured Video Sequences

no code implementations9 Jun 2022 Yu Fan, ZiCheng Zhang, Wei Sun, Xiongkuo Min, Wei Lu, Tao Wang, Ning Liu, Guangtao Zhai

Point cloud is one of the most widely used digital formats of 3D models, the visual quality of which is quite sensitive to distortions such as downsampling, noise, and compression.

Point Cloud Quality Assessment

Blind Surveillance Image Quality Assessment via Deep Neural Network Combined with the Visual Saliency

no code implementations9 Jun 2022 Wei Lu, Wei Sun, Wenhan Zhu, Xiongkuo Min, ZiCheng Zhang, Tao Wang, Guangtao Zhai

In this paper, we first conduct an example experiment (i. e. the face detection task) to demonstrate that the quality of the SIs has a crucial impact on the performance of the IVSS, and then propose a saliency-based deep neural network for the blind quality assessment of the SIs, which helps IVSS to filter the low-quality SIs and improve the detection and recognition performance.

Face Detection Image Quality Assessment

A No-Reference Deep Learning Quality Assessment Method for Super-resolution Images Based on Frequency Maps

no code implementations9 Jun 2022 ZiCheng Zhang, Wei Sun, Xiongkuo Min, Wenhan Zhu, Tao Wang, Wei Lu, Guangtao Zhai

Therefore, in this paper, we propose a no-reference deep-learning image quality assessment method based on frequency maps because the artifacts caused by SISR algorithms are quite sensitive to frequency information.

Image Quality Assessment Image Super-Resolution

Deep Neural Network for Blind Visual Quality Assessment of 4K Content

no code implementations9 Jun 2022 Wei Lu, Wei Sun, Xiongkuo Min, Wenhan Zhu, Quan Zhou, Jun He, Qiyuan Wang, ZiCheng Zhang, Tao Wang, Guangtao Zhai

In this paper, we propose a deep learning-based BIQA model for 4K content, which on one hand can recognize true and pseudo 4K content and on the other hand can evaluate their perceptual visual quality.

Blind Image Quality Assessment Multi-Task Learning

Perceptual Quality Assessment for Fine-Grained Compressed Images

no code implementations8 Jun 2022 ZiCheng Zhang, Wei Sun, Wei Wu, Ying Chen, Xiongkuo Min, Guangtao Zhai

Nowadays, the mainstream full-reference (FR) metrics are effective to predict the quality of compressed images at coarse-grained levels (the bit rates differences of compressed images are obvious), however, they may perform poorly for fine-grained compressed images whose bit rates differences are quite subtle.

Image Compression Image Quality Assessment

Video-based Human-Object Interaction Detection from Tubelet Tokens

no code implementations4 Jun 2022 Danyang Tu, Wei Sun, Xiongkuo Min, Guangtao Zhai, Wei Shen

We present a novel vision Transformer, named TUTOR, which is able to learn tubelet tokens, served as highly-abstracted spatiotemporal representations, for video-based human-object interaction (V-HOI) detection.

Human-Object Interaction Detection

A Deep Learning based No-reference Quality Assessment Model for UGC Videos

1 code implementation29 Apr 2022 Wei Sun, Xiongkuo Min, Wei Lu, Guangtao Zhai

The proposed model utilizes very sparse frames to extract spatial features and dense frames (i. e. the video chunk) with a very low spatial resolution to extract motion features, which thereby has low computational complexity.

Image Quality Assessment Video Quality Assessment

Cyber-Physical Vulnerability Assessment of P2P Energy Exchanges in Active Distribution Networks

no code implementations26 Apr 2022 Hamed Haggi, Wei Sun

Owing to the decreasing costs of distributed energy resources (DERs) as well as decarbonization policies, power systems are undergoing a modernization process.

energy trading

A Unified Review of Deep Learning for Automated Medical Coding

no code implementations8 Jan 2022 Shaoxiong Ji, Wei Sun, Xiaobo Li, Hang Dong, Ara Taalas, Yijia Zhang, Honghan Wu, Esa Pitkänen, Pekka Marttinen

Automated medical coding, an essential task for healthcare operation and delivery, makes unstructured data manageable by predicting medical codes from clinical documents.

Enhancing Counterfactual Classification via Self-Training

1 code implementation8 Dec 2021 Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han

We approach this task as a domain adaptation problem and propose a self-training algorithm which imputes outcomes with categorical values for finite unseen actions in the observational data to simulate a randomized trial through pseudolabeling, which we refer to as Counterfactual Self-Training (CST).

Classification Domain Adaptation +1

DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks

1 code implementation NeurIPS 2021 Wei Sun, Aojun Zhou, Sander Stuijk, Rob Wijnhoven, Andrew Oakleigh Nelson, Hongsheng Li, Henk Corporaal

However, the existing N:M algorithms only address the challenge of how to train N:M sparse neural networks in a uniform fashion (i. e. every layer has the same N:M sparsity) and suffer from a significant accuracy drop for high sparsity (i. e. when sparsity > 80\%).

Network Pruning

Loss Functions for Discrete Contextual Pricing with Observational Data

no code implementations18 Nov 2021 Max Biggs, Ruijiang Gao, Wei Sun

The goal of this paper is to formulate loss functions that can be used for evaluating pricing policies directly from observational data, rather than going through an intermediate demand estimation stage, which may suffer from bias.

Management Off-policy evaluation

iShape: A First Step Towards Irregular Shape Instance Segmentation

no code implementations30 Sep 2021 Lei Yang, Yan Zi Wei, Yisheng He, Wei Sun, Zhenhang Huang, Haibin Huang, Haoqiang Fan

In this paper, we introduce a brand new dataset to promote the study of instance segmentation for objects with irregular shapes.

Instance Segmentation Semantic Segmentation

Multitask Balanced and Recalibrated Network for Medical Code Prediction

2 code implementations6 Sep 2021 Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen

Nevertheless, automated medical coding is still challenging because of the imbalanced class problem, complex code association, and noise in lengthy documents.

Medical Code Prediction Multi-Task Learning

Proactive Rolling-Horizon based Scheduling of Hydrogen Systems for Resilient Power Grids

no code implementations17 Jul 2021 Hamed Haggi, Wei Sun, James M. Fenton, Paul Brooker

Deploying distributed energy resources (DERs) and other smart grid technologies have increased the complexity of power grids and made them more vulnerable to natural disasters and cyber-physical-human (CPH) threats.


Learning-Based Nonlinear $H^\infty$ Control via Game-Theoretic Differential Dynamic Programming

no code implementations9 Jul 2021 Wei Sun, Theodore B. Trafalis

In this work, we present a learning-based nonlinear $H^\infty$ control algorithm that guarantee system performance under learned dynamics and disturbance estimate.


No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh Models

2 code implementations5 Jul 2021 ZiCheng Zhang, Wei Sun, Xiongkuo Min, Tao Wang, Wei Lu, Guangtao Zhai

Therefore, many related studies such as point cloud quality assessment (PCQA) and mesh quality assessment (MQA) have been carried out to measure the visual quality degradations of 3D models.

Point Cloud Quality Assessment

Learned Interpretable Residual Extragradient ISTA for Sparse Coding

no code implementations22 Jun 2021 Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu

Recently, the study on learned iterative shrinkage thresholding algorithm (LISTA) has attracted increasing attentions.

Learning Audio-Visual Dereverberation

1 code implementation14 Jun 2021 Changan Chen, Wei Sun, David Harwath, Kristen Grauman

We introduce Visually-Informed Dereverberation of Audio (VIDA), an end-to-end approach that learns to remove reverberation based on both the observed monaural sound and visual scene.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Fisher-Pitman permutation tests based on nonparametric Poisson mixtures with application to single cell genomics

no code implementations6 Jun 2021 Zhen Miao, Weihao Kong, Ramya Korlakai Vinayak, Wei Sun, Fang Han

This paper investigates the theoretical and empirical performance of Fisher-Pitman-type permutation tests for assessing the equality of unknown Poisson mixture distributions.

Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC Videos

1 code implementation2 Jun 2021 Wei Sun, Tao Wang, Xiongkuo Min, Fuwang Yi, Guangtao Zhai

The proposed VQA framework consists of three modules, the feature extraction module, the quality regression module, and the quality pooling module.

regression Video Quality Assessment

Proactive Scheduling of Hydrogen Systems for Resilience Enhancement of Distribution Networks

no code implementations1 Jun 2021 Hamed Haggi, Wei Sun, James M. Fenton, Paul Brooker

Recent advances in smart grid technologies bring opportunities to better control the modern and complex power grids with renewable integration.


End-to-End Jet Classification of Boosted Top Quarks with the CMS Open Data

no code implementations19 Apr 2021 Michael Andrews, Bjorn Burkle, Yi-fan Chen, Davide DiCroce, Sergei Gleyzer, Ulrich Heintz, Meenakshi Narain, Manfred Paulini, Nikolas Pervan, Yusef Shafi, Wei Sun, Emanuele Usai, Kun Yang

We describe a novel application of the end-to-end deep learning technique to the task of discriminating top quark-initiated jets from those originating from the hadronization of a light quark or a gluon.

Multitask Recalibrated Aggregation Network for Medical Code Prediction

1 code implementation2 Apr 2021 Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen

Medical coding translates professionally written medical reports into standardized codes, which is an essential part of medical information systems and health insurance reimbursement.

Medical Code Prediction Representation Learning

Deep Consensus Learning

no code implementations15 Mar 2021 Wei Sun, Tianfu Wu

For the real image corresponding to the input layout, its mask also is computed by the inference network, and then used by the generator to reconstruct the real image.

Image Generation Semantic Segmentation

Deep Learning Based 3D Segmentation: A Survey

no code implementations9 Mar 2021 Yong He, Hongshan Yu, Xiaoyan Liu, Zhengeng Yang, Wei Sun, Ajmal Mian

This paper fills the gap and provides a comprehensive survey of the recent progress made in deep learning based 3D segmentation.

Autonomous Driving Point Cloud Segmentation +1

Sum-Rate Maximization in Distributed Intelligent Reflecting Surfaces-Aided mmWave Communications

no code implementations18 Jan 2021 Yue Xiu, Wei Sun, Jiao Wu, Guan Gui, Ning Wei, Zhongpei Zhang

The solution to transmit beamforming at the BS and the phase shifts at the IRS are derived by using the successive convex approximation (SCA)-based algorithm, and a greedy algorithm is proposed to design the IRS switch vector.

Non-uniform Motion Deblurring with Blurry Component Divided Guidance

no code implementations15 Jan 2021 Pei Wang, Wei Sun, Qingsen Yan, Axi Niu, Rui Li, Yu Zhu, Jinqiu Sun, Yanning Zhang

To tackle the above problems, we present a deep two-branch network to deal with blurry images via a component divided module, which divides an image into two components based on the representation of blurry degree.

Blind Image Deblurring Image Deblurring +1

Counterfactual Self-Training

no code implementations1 Jan 2021 Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han

We approach this task as a domain adaptation problem and propose a self-training algorithm which imputes outcomes for the unseen actions in the observational data to simulate a randomized trial.

Domain Adaptation Marketing

Uplink Achievable Rate Maximization for Reconfigurable Intelligent Surface Aided Millimeter Wave Systems with Resolution-Adaptive ADCs

no code implementations27 Nov 2020 Yue Xiu, Jun Zhao, Ertugrul Basar, Marco Di Renzo, Wei Sun, Guan Gui, Ning Wei

In this letter, we investigate the uplink of a reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) multi-user system.


Multi-Objective PMU Allocation for Resilient Power System Monitoring

no code implementations15 Oct 2020 Hamed Haggi, Wei Sun, Junjian Qi

Phasor measurement units (PMUs) enable better system monitoring and security enhancement in smart grids.

Fatigue-aware Bandits for Dependent Click Models

no code implementations22 Aug 2020 Junyu Cao, Wei Sun, Zuo-Jun, Shen, Markus Ettl

Based on user's feedback, the platform learns the relevance of the underlying content as well as the discounting effect due to content fatigue.

Recommendation Systems

Secrecy Rate Maximization for Intelligent Reflecting Surface Aided SWIPT Systems

no code implementations22 Jul 2020 Wei Sun, Qingyang Song, Lei Guo, Jun Zhao

Simultaneous wireless information and power transfer (SWIPT) and intelligent reflecting surface (IRS) are two promising techniques for providing enhanced wireless communication capability and sustainable energy supply to energy-constrained wireless devices.

Model Distillation for Revenue Optimization: Interpretable Personalized Pricing

no code implementations3 Jul 2020 Max Biggs, Wei Sun, Markus Ettl

Data-driven pricing strategies are becoming increasingly common, where customers are offered a personalized price based on features that are predictive of their valuation of a product.

BIG-bench Machine Learning Fairness

Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis

3 code implementations25 Mar 2020 Wei Sun, Tianfu Wu

This paper focuses on a recent emerged task, layout-to-image, to learn generative models that are capable of synthesizing photo-realistic images from spatial layout (i. e., object bounding boxes configured in an image lattice) and style (i. e., structural and appearance variations encoded by latent vectors).

Layout-to-Image Generation

Machine learning based co-creative design framework

no code implementations23 Jan 2020 Brian Quanz, Wei Sun, Ajay Deshpande, Dhruv Shah, Jae-Eun Park

We propose a flexible, co-creative framework bringing together multiple machine learning techniques to assist human users to efficiently produce effective creative designs.

BIG-bench Machine Learning

Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation

no code implementations8 Jan 2020 Dong Gong, Wei Sun, Qinfeng Shi, Anton Van Den Hengel, Yanning Zhang

Most learning-based super-resolution (SR) methods aim to recover high-resolution (HR) image from a given low-resolution (LR) image via learning on LR-HR image pairs.


Making Predictive Coding Networks Generative

no code implementations26 Oct 2019 Jeff Orchard, Wei Sun

This paper studies this phenomenon, and proposes a simple solution that promotes the generation of input samples that resemble the training inputs.

Image Synthesis From Reconfigurable Layout and Style

4 code implementations ICCV 2019 Wei Sun, Tianfu Wu

Despite remarkable recent progress on both unconditional and conditional image synthesis, it remains a long-standing problem to learn generative models that are capable of synthesizing realistic and sharp images from reconfigurable spatial layout (i. e., bounding boxes + class labels in an image lattice) and style (i. e., structural and appearance variations encoded by latent vectors), especially at high resolution.

Layout-to-Image Generation

Attentive Normalization

2 code implementations ECCV 2020 Xilai Li, Wei Sun, Tianfu Wu

In state-of-the-art deep neural networks, both feature normalization and feature attention have become ubiquitous.

Image Classification Instance Segmentation +3

3D Virtual Garment Modeling from RGB Images

no code implementations31 Jul 2019 Yi Xu, Shanglin Yang, Wei Sun, Li Tan, Kefeng Li, Hui Zhou

The predicted landmarks are used for estimating sizing information of the garment.

Mixed Reality Multi-Task Learning

A support vector regression-based multi-fidelity surrogate model

no code implementations22 Jun 2019 Maolin Shi, Shuo Wang, Wei Sun, Liye Lv, Xueguan Song

Computational simulations with different fidelity have been widely used in engineering design.


High-low level support vector regression prediction approach (HL-SVR) for data modeling with input parameters of unequal sample sizes

no code implementations31 May 2019 Maolin Shi, Wei Sun, Xueguan Song, Hongyou Li

The proposed approach is consisted of low-level SVR models for the input parameters of larger sample sizes and high-level SVR model for the input parameters of smaller sample sizes.

Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem

no code implementations29 Apr 2019 Junyu Cao, Wei Sun

Motivated by the phenomenon that companies introduce new products to keep abreast with customers' rapidly changing tastes, we consider a novel online learning setting where a profit-maximizing seller needs to learn customers' preferences through offering recommendations, which may contain existing products and new products that are launched in the middle of a selling period.

Product Recommendation

Ranking-Based Autoencoder for Extreme Multi-label Classification

no code implementations NAACL 2019 Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou

Extreme Multi-label classification (XML) is an important yet challenging machine learning task, that assigns to each instance its most relevant candidate labels from an extremely large label collection, where the numbers of labels, features and instances could be thousands or millions.

Classification Extreme Multi-Label Classification +2

Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue

1 code implementation19 Mar 2019 Junyu Cao, Wei Sun

Based on user feedback, the platform dynamically learns users' abandonment distribution and their valuations of messages to determine the length of the sequence and the order of the messages, while maximizing the cumulative payoff over a horizon of length T. We refer to this online learning task as the sequential choice bandit problem.

Combinatorial Optimization Marketing

Real time backbone for semantic segmentation

no code implementations16 Mar 2019 Zhengeng Yang, Hongshan Yu, Qiang Fu, Wei Sun, Wenyan Jia, Mingui Sun, Zhi-Hong Mao

The rapid development of autonomous driving in recent years presents lots of challenges for scene understanding.

Autonomous Driving Model Compression +2

Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation

no code implementations18 Jan 2019 Wei Sun, Tianfu Wu

In experiments, the proposed SPAP is tested in GANs on the Celeba-HQ-128 dataset~\cite{karras2017progressive}, and tested in CycleGANs on the Image-to-Image translation datasets including the Cityscape dataset~\cite{cordts2016cityscapes}, Facade and Aerial Maps dataset~\cite{zhu2017unpaired}, both obtaining better performance.

Image-to-Image Translation Translation

Sketching Method for Large Scale Combinatorial Inference

no code implementations NeurIPS 2018 Wei Sun, Junwei Lu, Han Liu

In order to test the hypotheses on their topological structures, we propose two adjacency matrix sketching frameworks: neighborhood sketching and subgraph sketching.


Interpretable Spatio-temporal Attention for Video Action Recognition

no code implementations1 Oct 2018 Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Wei Sun, Frederich Tung, Leonid Sigal

Inspired by the observation that humans are able to process videos efficiently by only paying attention where and when it is needed, we propose an interpretable and easy plug-in spatial-temporal attention mechanism for video action recognition.

Action Recognition Temporal Action Localization

Machine Learning in High Energy Physics Community White Paper

no code implementations8 Jul 2018 Kim Albertsson, Piero Altoe, Dustin Anderson, John Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Bjorn Burkle, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Yi-fan Chen, Taylor Childers, Yann Coadou, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis, Andrea De Simone, Javier Duarte, Martin Erdmann, Jonas Eschle, Amir Farbin, Matthew Feickert, Nuno Filipe Castro, Conor Fitzpatrick, Michele Floris, Alessandra Forti, Jordi Garra-Tico, Jochen Gemmler, Maria Girone, Paul Glaysher, Sergei Gleyzer, Vladimir Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Heinrich, Ulrich Heintz, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemysław Karpiński, Zahari Kassabov, Gaurav Kaul, Dorian Kcira, Thomas Keck, Alexei Klimentov, Jim Kowalkowski, Luke Kreczko, Alexander Kurepin, Rob Kutschke, Valentin Kuznetsov, Nicolas Köhler, Igor Lakomov, Kevin Lannon, Mario Lassnig, Antonio Limosani, Gilles Louppe, Aashrita Mangu, Pere Mato, Narain Meenakshi, Helge Meinhard, Dario Menasce, Lorenzo Moneta, Seth Moortgat, Mark Neubauer, Harvey Newman, Sydney Otten, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel Perdue, Uzziel Perez, Attilio Picazio, Jim Pivarski, Harrison Prosper, Fernanda Psihas, Alexander Radovic, Ryan Reece, Aurelius Rinkevicius, Eduardo Rodrigues, Jamal Rorie, David Rousseau, Aaron Sauers, Steven Schramm, Ariel Schwartzman, Horst Severini, Paul Seyfert, Filip Siroky, Konstantin Skazytkin, Mike Sokoloff, Graeme Stewart, Bob Stienen, Ian Stockdale, Giles Strong, Wei Sun, Savannah Thais, Karen Tomko, Eli Upfal, Emanuele Usai, Andrey Ustyuzhanin, Martin Vala, Justin Vasel, Sofia Vallecorsa, Mauro Verzetti, Xavier Vilasís-Cardona, Jean-Roch Vlimant, Ilija Vukotic, Sean-Jiun Wang, Gordon Watts, Michael Williams, Wenjing Wu, Stefan Wunsch, Kun Yang, Omar Zapata

In this document we discuss promising future research and development areas for machine learning in particle physics.

BIG-bench Machine Learning Vocal Bursts Intensity Prediction

AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization System

no code implementations15 Apr 2018 Qiyue Li, Heng Qu, Zhi Liu, Nana Zhou, Wei Sun, Jie Li

Based on the extended fingerprint database, the accuracy of indoor localization system can be improved with reduced human effort.

Networking and Internet Architecture

Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning

no code implementations20 Dec 2017 Yang Nan, Gianmarc Coppola, Qiaokang Liang, Kunglin Zou, Wei Sun, Dan Zhang, Yaonan Wang, Guanzhen Yu

Gastric cancer is the second leading cause of cancer-related deaths worldwide, and the major hurdle in biomedical image analysis is the determination of the cancer extent.

Image Segmentation Tumor Segmentation

Towards Interpretable R-CNN by Unfolding Latent Structures

1 code implementation14 Nov 2017 Tianfu Wu, Wei Sun, Xilai Li, Xi Song, Bo Li

We focus on weakly-supervised extractive rationale generation, that is learning to unfold latent discriminative part configurations of object instances automatically and simultaneously in detection without using any supervision for part configurations.

object-detection Object Detection

Multimodal Content Analysis for Effective Advertisements on YouTube

no code implementations12 Sep 2017 Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy

The objective of this work is then to measure the effectiveness of an advertisement, and to recommend a useful set of features to advertisement designers to make it more successful and approachable to users.

Recommendation Systems

Non-convex Statistical Optimization for Sparse Tensor Graphical Model

no code implementations NeurIPS 2015 Wei Sun, Zhaoran Wang, Han Liu, Guang Cheng

We consider the estimation of sparse graphical models that characterize the dependency structure of high-dimensional tensor-valued data.

Stabilized Nearest Neighbor Classifier and Its Statistical Properties

no code implementations26 May 2014 Wei Sun, Xingye Qiao, Guang Cheng

In this paper, we introduce a general measure of classification instability (CIS) to quantify the sampling variability of the prediction made by a classification method.

Classification General Classification

Consistent selection of tuning parameters via variable selection stability

no code implementations16 Aug 2012 Wei Sun, Junhui Wang, Yixin Fang

The key idea is to select the tuning parameters so that the resultant penalized regression model is stable in variable selection.

regression Variable Selection

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