b'Wei Shen'

research

∙ 08/28/2023

SAM-PARSER: Fine-tuning SAM Efficiently by Parameter Space Reconstruction

Segment Anything Model (SAM) has received remarkable attention as it off...

0 Zelin Peng, et al. ∙

research

∙ 08/26/2023

Joint Gaze-Location and Gaze-Object Detection

This paper proposes an efficient and effective method for joint gaze loc...

0 Danyang Tu, et al. ∙

research

∙ 08/16/2023

Agglomerative Transformer for Human-Object Interaction Detection

We propose an agglomerative Transformer (AGER) that enables Transformer-...

0 Danyang Tu, et al. ∙

research

∙ 06/18/2023

Bid Optimization for Offsite Display Ad Campaigns on eCommerce

Online retailers often use third-party demand-side-platforms (DSPs) to c...

0 Hangjian Li, et al. ∙

research

∙ 05/31/2023

Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

Reconstructing deformable tissues from endoscopic stereo videos in robot...

0 Chen Yang, et al. ∙

research

∙ 05/01/2023

Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation

In semi-supervised medical image segmentation, there exist empirical mis...

0 Yunhao Bai, et al. ∙

research

∙ 04/24/2023

Segment Anything in 3D with NeRFs

The Segment Anything Model (SAM) has demonstrated its effectiveness in s...

0 Jiazhong Cen, et al. ∙

research

∙ 04/13/2023

NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds

We present NeRFVS, a novel neural radiance fields (NeRF) based method to...

0 Chen Yang, et al. ∙

research

∙ 03/30/2023

Masked Autoencoders as Image Processors

Transformers have shown significant effectiveness for various vision tas...

0 Huiyu Duan, et al. ∙

research

∙ 03/14/2023

USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation

Seed area generation is usually the starting point of weakly supervised ...

0 Zelin Peng, et al. ∙

research

∙ 03/03/2023

RePreM: Representation Pre-training with Masked Model for Reinforcement Learning

Inspired by the recent success of sequence modeling in RL and the use of...

0 Yuanying Cai, et al. ∙

research

∙ 01/09/2023

Finding Lookalike Customers for E-Commerce Marketing

Customer-centric marketing campaigns generate a large portion of e-comme...

0 Yang Peng, et al. ∙

research

∙ 12/29/2022

MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery

We propose a novel teacher-student model for semi-supervised multi-organ...

0 Duowen Chen, et al. ∙

research

∙ 12/06/2022

A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting

Multivariate time series forecasting (MTSF) is a fundamental problem in ...

0 Zanwei Zhou, et al. ∙

research

∙ 12/05/2022

A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS

Recently, spoken dialogue systems have been widely deployed in a variety...

0 Wei Shen, et al. ∙

research

∙ 12/02/2022

Joint Open Knowledge Base Canonicalization and Linking

Open Information Extraction (OIE) methods extract a large number of OIE ...

0 Yinan Liu, et al. ∙

research

∙ 11/28/2022

Low-resource Personal Attribute Prediction from Conversation

Personal knowledge bases (PKBs) are crucial for a broad range of applica...

0 Yinan Liu, et al. ∙

research

∙ 11/01/2022

Self-supervised Character-to-Character Distillation

Handling complicated text images (e.g., irregular structures, low resolu...

0 Tongkun Guan, et al. ∙

research

∙ 10/09/2022

Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening

Human motion synthesis is a long-standing problem with various applicati...

0 Yunhao Li, et al. ∙

research

∙ 09/22/2022

Deep Learning Based Page Creation for Improving E-Commerce Organic Search Traffic

Organic search comprises a large portion of the total traffic for e-comm...

0 Cheng Jie, et al. ∙

research

∙ 09/12/2022

TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification

In this paper, we propose TEDL, a two-stage learning approach to quantif...

0 Xue Li, et al. ∙

research

∙ 08/30/2022

SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance

Ad relevance modeling plays a critical role in online advertising system...

6 Li Lyna Zhang, et al. ∙

research

∙ 08/08/2022

Learning Entity Linking Features for Emerging Entities

Entity linking (EL) is the process of linking entity mentions appearing ...

15 Chenwei Ran, et al. ∙

research

∙ 07/06/2022

Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation

Shape information is a strong and valuable prior in segmenting organs in...

30 Yuan Yao, et al. ∙

research

∙ 07/04/2022

A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction

The rapid development of deep learning has made a great progress in segm...

10 Wei Shen, et al. ∙

research

∙ 06/22/2022

Multi-View Clustering for Open Knowledge Base Canonicalization

Open information extraction (OIE) methods extract plenty of OIE triples ...

0 Wei Shen, et al. ∙

research

∙ 06/04/2022

Video-based Human-Object Interaction Detection from Tubelet Tokens

We present a novel vision Transformer, named TUTOR, which is able to lea...

0 Danyang Tu, et al. ∙

research

∙ 05/24/2022

Community Question Answering Entity Linking via Leveraging Auxiliary Data

Community Question Answering (CQA) platforms contain plenty of CQA texts...

0 Yuhan Li, et al. ∙

research

∙ 04/21/2022

ChildPredictor: A Child Face Prediction Framework with Disentangled Learning

The appearances of children are inherited from their parents, which make...

0 Yuzhi Zhao, et al. ∙

research

∙ 04/18/2022

Saliency in Augmented Reality

With the rapid development of multimedia technology, Augmented Reality (...

0 Huiyu Duan, et al. ∙

research

∙ 03/22/2022

CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation

Recent advances in self-supervised contrastive learning yield good image...

0 Feng Wang, et al. ∙

research

∙ 03/20/2022

Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows

This paper presents a new vision Transformer, named Iwin Transformer, wh...

0 Danyang Tu, et al. ∙

research

∙ 03/20/2022

End-to-End Human-Gaze-Target Detection with Transformers

In this paper, we propose an effective and efficient method for Human-Ga...

0 Danyang Tu, et al. ∙

research

∙ 03/18/2022

ContrastMask: Contrastive Learning to Segment Every Thing

Partially-supervised instance segmentation is a task which requests segm...

0 Xuehui Wang, et al. ∙

research

∙ 01/04/2022

External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data

The spleen is one of the most commonly injured solid organs in blunt abd...

13 Yuyin Zhou, et al. ∙

research

∙ 11/23/2021

Deep Residual Fourier Transformation for Single Image Deblurring

It has been a common practice to adopt the ResBlock, which learns the di...

37 Xintian Mao, et al. ∙

research

∙ 11/15/2021

iBOT: Image BERT Pre-Training with Online Tokenizer

The success of language Transformers is primarily attributed to the pret...

0 Jinghao Zhou, et al. ∙

research

∙ 09/26/2021

Entity Linking Meets Deep Learning: Techniques and Solutions

Entity linking (EL) is the process of linking entity mentions appearing ...

25 Wei Shen, et al. ∙

research

∙ 08/25/2021

Inductive Matrix Completion Using Graph Autoencoder

Recently, the graph neural network (GNN) has shown great power in matrix...

0 Wei Shen, et al. ∙

research

∙ 06/24/2021

Bidding via Clustering Ads Intentions: an Efficient Search Engine Marketing System for E-commerce

With the increasing scale of search engine marketing, designing an effic...

0 Cheng Jie, et al. ∙

research

∙ 06/05/2021

Making CNNs Interpretable by Building Dynamic Sequential Decision Forests with Top-down Hierarchy Learning

In this paper, we propose a generic model transfer scheme to make Convlu...

0 Yilin Wang, et al. ∙

research

∙ 06/04/2021

Glance-and-Gaze Vision Transformer

Recently, there emerges a series of vision Transformers, which show supe...

0 Qihang Yu, et al. ∙

research

∙ 05/31/2021

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction

Pancreatic ductal adenocarcinoma (PDAC) is the third most common cause o...

16 Yan Wang, et al. ∙

research

∙ 03/05/2021

SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation

Hyperspectral imaging (HSI) unlocks the huge potential to a wide variety...

0 Boxiang Yun, et al. ∙

research

∙ 11/28/2020

Batch Normalization with Enhanced Linear Transformation

Batch normalization (BN) is a fundamental unit in modern deep networks, ...

15 Yuhui Xu, et al. ∙

research

∙ 10/29/2020

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples

Although deep neural networks have been a dominant method for many 2D vi...

9 Yingwei Li, et al. ∙

research

∙ 10/14/2020

AutoADR: Automatic Model Design for Ad Relevance

Large-scale pre-trained models have attracted extensive attention in the...

4 Yiren Chen, et al. ∙

research

∙ 10/12/2020

Shape-Texture Debiased Neural Network Training

Shape and texture are two prominent and complementary cues for recognizi...

21 Yingwei Li, et al. ∙

research

∙ 10/05/2020

CO2: Consistent Contrast for Unsupervised Visual Representation Learning

Contrastive learning has been adopted as a core method for unsupervised ...

9 Chen Wei, et al. ∙

research

∙ 08/25/2020

Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing

In mobile crowdsourcing (MCS), the platform selects participants to comp...

20 Wei Shen, et al. ∙

Wei Shen

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