b'Kai Zhang'

research

∙ 08/02/2022

Unified Normalization for Accelerating and Stabilizing Transformers

Solid results from Transformers have made them prevailing architectures ...

Qiming Yang, et al. ∙

research

∙ 07/25/2022

Reference-based Image Super-Resolution with Deformable Attention Transformer

Reference-based image super-resolution (RefSR) aims to exploit auxiliary...

Jiezhang Cao, et al. ∙

research

∙ 06/21/2022

Enhancing Multi-view Stereo with Contrastive Matching and Weighted Focal Loss

Learning-based multi-view stereo (MVS) methods have made impressive prog...

Yikang Ding, et al. ∙

research

∙ 06/18/2022

Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation

We consider a federated representation learning framework, where with th...

Jiaxiang Tang, et al. ∙

research

∙ 06/13/2022

ARF: Artistic Radiance Fields

We present a method for transferring the artistic features of an arbitra...

Kai Zhang, et al. ∙

research

∙ 06/05/2022

Recurrent Video Restoration Transformer with Guided Deformable Attention

Video restoration aims at restoring multiple high-quality frames from mu...

Jingyun Liang, et al. ∙

research

∙ 06/01/2022

MORE: A Metric Learning Based Framework for Open-domain Relation Extraction

Open relation extraction (OpenRE) is the task of extracting relation sch...

Yutong Wang, et al. ∙

research

∙ 05/28/2022

WT-MVSNet: Window-based Transformers for Multi-view Stereo

Recently, Transformers were shown to enhance the performance of multi-vi...

Jinli Liao, et al. ∙

research

∙ 05/23/2022

UnifieR: A Unified Retriever for Large-Scale Retrieval

Large-scale retrieval is to recall relevant documents from a huge collec...

Tao Shen, et al. ∙

research

∙ 05/18/2022

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation

Sequential recommendation (SR) aims to model users' dynamic preferences ...

Juyong Jiang, et al. ∙

research

∙ 05/18/2022

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification

Cross-domain sentiment classification (CDSC) aims to use the transferabl...

Kai Zhang, et al. ∙

research

∙ 05/08/2022

Adversarial Learning of Hard Positives for Place Recognition

Image retrieval methods for place recognition learn global image descrip...

Wenxuan Fang, et al. ∙

research

∙ 04/26/2022

Discussion of Multiscale Fisher's Independence Test for Multivariate Dependence

The multiscale Fisher's independence test (MULTIFIT hereafter) proposed ...

Duyeol Lee, et al. ∙

research

∙ 04/25/2022

ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching

Graph Neural Networks (GNNs) with attention have been successfully appli...

Yan Shi, et al. ∙

research

∙ 04/23/2022

Indoor simultaneous localization and mapping based on fringe projection profilometry

Simultaneous Localization and Mapping (SLAM) plays an important role in ...

fcq, et al. ∙

research

∙ 04/05/2022

IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images

We propose a neural inverse rendering pipeline called IRON that operates...

Kai Zhang, et al. ∙

research

∙ 04/01/2022

Selecting task with optimal transport self-supervised learning for few-shot classification

Few-Shot classification aims at solving problems that only a few samples...

Renjie Xu, et al. ∙

research

∙ 03/30/2022

Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) predicts sentiment polarity towar...

Kai Zhang, et al. ∙

research

∙ 03/24/2022

Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis

While recent years have witnessed a dramatic upsurge of exploiting deep ...

Kai Zhang, et al. ∙

research

∙ 03/17/2022

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation

Federated Learning (FL) on knowledge graphs (KGs) has yet to be as well ...

Kai Zhang, et al. ∙

research

∙ 03/17/2022

Phased Flight Trajectory Prediction with Deep Learning

The unprecedented increase of commercial airlines and private jets over ...

Kai Zhang, et al. ∙

research

∙ 03/03/2022

Self-supervised Transparent Liquid Segmentation for Robotic Pouring

Liquid state estimation is important for robotics tasks such as pouring;...

Gautham Narayan Narasimhan, et al. ∙

research

∙ 02/20/2022

Pairwise Nonlinear Dependence Analysis of Genomic Data

In The Cancer Genome Atlas (TCGA) dataset, there are many interesting no...

Siqi Xiang, et al. ∙

research

∙ 01/28/2022

VRT: A Video Restoration Transformer

Video restoration (e.g., video super-resolution) aims to restore high-qu...

Jingyun Liang, et al. ∙

research

∙ 01/10/2022

An Adaptive Neuro-Fuzzy System with Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems

A major limitation of fuzzy or neuro-fuzzy systems is their failure to d...

Guangdong Xue, et al. ∙

research

∙ 12/29/2021

Gendered Differences in Face Recognition Accuracy Explained by Hairstyles, Makeup, and Facial Morphology

Media reports have accused face recognition of being ”biased”, ”sexist” ...

Vitor Albiero, et al. ∙

research

∙ 12/13/2021

Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer

Sequential recommendation can capture user chronological preferences fro...

Juyong Jiang, et al. ∙

research

∙ 09/29/2021

Towards Flexible Blind JPEG Artifacts Removal

Training a single deep blind model to handle different quality factors f...

Jiaxi Jiang, et al. ∙

research

∙ 09/28/2021

The AUGUST Two-Sample Test: Powerful, Interpretable, and Fast

Two-sample testing is a fundamental problem in statistics, and many famo...

Benjamin Brown, et al. ∙

research

∙ 09/13/2021

GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks

A key problem in multi-task learning (MTL) research is how to select hig...

Weicheng Ma, et al. ∙

research

∙ 09/10/2021

A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy

The PC algorithm is the state-of-the-art algorithm for causal structure ...

Kai Zhang, et al. ∙

research

∙ 08/24/2021

Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer

Embedding learning for categorical features is crucial for the deep lear...

Bencheng Yan, et al. ∙

research

∙ 08/23/2021

SwinIR: Image Restoration Using Swin Transformer

Image restoration is a long-standing low-level vision problem that aims ...

Jingyun Liang, et al. ∙

research

∙ 08/18/2021

Federated Variational Learning for Anomaly Detection in Multivariate Time Series

Anomaly detection has been a challenging task given high-dimensional mul...

Kai Zhang, et al. ∙

research

∙ 08/18/2021

Learning to Detect: A Data-driven Approach for Network Intrusion Detection

With massive data being generated daily and the ever-increasing intercon...

Zachary Tauscher, et al. ∙

research

∙ 08/18/2021

Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks

This paper studies the relative importance of attention heads in Transfo...

Weicheng Ma, et al. ∙

research

∙ 08/18/2021

SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation

Recent studies in recommender systems have managed to achieve significan...

Kai Zhang, et al. ∙

research

∙ 08/11/2021

Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution

Existing blind image super-resolution (SR) methods mostly assume blur ke...

Jingyun Liang, et al. ∙

research

∙ 08/11/2021

Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling

Normalizing flows have recently demonstrated promising results for low-l...

Jingyun Liang, et al. ∙

research

∙ 07/10/2021

Learning-to-Dispatch: Reinforcement Learning Based Flight Planning under Emergency

The effectiveness of resource allocation under emergencies especially hu...

Kai Zhang, et al. ∙

research

∙ 07/08/2021

First-Generation Inference Accelerator Deployment at Facebook

In this paper, we provide a deep dive into the deployment of inference a...

Michael Anderson, et al. ∙

research

∙ 06/12/2021

Video Super-Resolution Transformer

Video super-resolution (VSR), with the aim to restore a high-resolution ...

Jiezhang Cao, et al. ∙

research

∙ 04/15/2021

Comments on: A Gibbs sampler for a class of random convex polytopes

In this comment we discuss relative strengths and weaknesses of simplex ...

Kentaro Hoffman, et al. ∙

research

∙ 04/12/2021

LocalViT: Bringing Locality to Vision Transformers

We study how to introduce locality mechanisms into vision transformers. ...

Yawei Li, et al. ∙

research

∙ 04/08/2021

PQA: Perceptual Question Answering

Perceptual organization remains one of the very few established theories...

Yonggang Qi, et al. ∙

research

∙ 04/01/2021

PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting

We present PhySG, an end-to-end inverse rendering pipeline that includes...

Kai Zhang, et al. ∙

research

∙ 03/29/2021

Flow-based Kernel Prior with Application to Blind Super-Resolution

Kernel estimation is generally one of the key problems for blind image s...

Jingyun Liang, et al. ∙

research

∙ 03/25/2021

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution

It is widely acknowledged that single image super-resolution (SISR) meth...

Kai Zhang, et al. ∙

research

∙ 03/20/2021

Spatio-Temporal Data Mining for Aviation Delay Prediction

To accommodate the unprecedented increase of commercial airlines over th...

Kai Zhang, et al. ∙

research

∙ 03/01/2021

BEAUTY Powered BEAST

We study inference about the uniform distribution with the proposed bina...

Kai Zhang, et al. ∙

Kai Zhang

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