b'Liwei Wu'

research

∙ 06/03/2023

Balancing Logit Variation for Long-tailed Semantic Segmentation

Semantic segmentation usually suffers from a long-tail data distribution...

0 Yuchao Wang, et al. ∙

research

∙ 05/29/2023

3D Model-based Zero-Shot Pose Estimation Pipeline

Most existing learning-based pose estimation methods are typically devel...

0 Jianqiu Chen, et al. ∙

research

∙ 05/23/2023

Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation

Domain adaptive semantic segmentation aims to transfer knowledge from a ...

0 Haochen Wang, et al. ∙

research

∙ 03/15/2023

SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers

Self-supervised pre-training and transformer-based networks have signifi...

0 Guoqiang Jin, et al. ∙

research

∙ 02/28/2023

Efficient Masked Autoencoders with Self-Consistency

Inspired by masked language modeling (MLM) in natural language processin...

0 Zhaowen Li, et al. ∙

research

∙ 12/20/2022

Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation

Multimodal machine translation (MMT) aims to improve translation quality...

0 Yaoming Zhu, et al. ∙

research

∙ 12/03/2022

Exploring Stochastic Autoregressive Image Modeling for Visual Representation

Autoregressive language modeling (ALM) have been successfully used in se...

0 Yu Qi, et al. ∙

research

∙ 11/25/2022

MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection

Visual anomaly detection plays a crucial role in not only manufacturing ...

0 Tianpeng Bao, et al. ∙

research

∙ 10/20/2022

Uni6Dv3: 5D Anchor Mechanism for 6D Pose Estimation

Unlike indirect methods that usually require time-consuming post-process...

0 Jianqiu Chen, et al. ∙

research

∙ 09/28/2022

Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks

Visual tasks vary a lot in their output formats and concerned contents, ...

0 Zhiyang Chen, et al. ∙

research

∙ 09/15/2022

Learning from Future: A Novel Self-Training Framework for Semantic Segmentation

Self-training has shown great potential in semi-supervised learning. Its...

0 Ye Du, et al. ∙

research

∙ 08/15/2022

Uni6Dv2: Noise Elimination for 6D Pose Estimation

Few prior 6D pose estimation methods use a backbone network to extract f...

0 Mingshan Sun, et al. ∙

research

∙ 05/30/2022

Benchmarking Unsupervised Anomaly Detection and Localization

Unsupervised anomaly detection and localization, as of one the most prac...

0 Ye Zheng, et al. ∙

research

∙ 05/16/2022

Peridynamic modeling for impact failure of wet concrete considering the influence of saturation

In this paper, a modified intermediately homogenized peridynamic (IH-PD)...

0 Liwei Wu, et al. ∙

research

∙ 03/28/2022

Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation

As RGB-D sensors become more affordable, using RGB-D images to obtain hi...

0 Xiaoke Jiang, et al. ∙

research

∙ 03/14/2022

UniVIP: A Unified Framework for Self-Supervised Visual Pre-training

Self-supervised learning (SSL) holds promise in leveraging large amounts...

0 Zhaowen Li, et al. ∙

research

∙ 03/08/2022

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

The crux of semi-supervised semantic segmentation is to assign adequate ...

12 Yuchao Wang, et al. ∙

research

∙ 01/24/2022

Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus

The punctuation restoration task aims to correctly punctuate the output ...

0 Yaoming Zhu, et al. ∙

research

∙ 11/15/2021

FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

Unsupervised anomaly detection and localization is crucial to the practi...

21 Jiawei Yu, et al. ∙

research

∙ 10/09/2021

Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization

The essence of unsupervised anomaly detection is to learn the compact di...

0 Ye Zheng, et al. ∙

research

∙ 06/15/2021

Language Tags Matter for Zero-Shot Neural Machine Translation

Multilingual Neural Machine Translation (MNMT) has aroused widespread in...

0 Liwei Wu, et al. ∙

research

∙ 06/10/2021

MST: Masked Self-Supervised Transformer for Visual Representation

Transformer has been widely used for self-supervised pre-training in Nat...

0 Zhaowen Li, et al. ∙

research

∙ 05/20/2021

Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

Existing multilingual machine translation approaches mainly focus on Eng...

0 Xiao Pan, et al. ∙

research

∙ 05/19/2021

Learning Language Specific Sub-network for Multilingual Machine Translation

Multilingual neural machine translation aims at learning a single transl...

0 Zehui Lin, et al. ∙

research

∙ 10/28/2020

The Volctrans Machine Translation System for WMT20

This paper describes our VolcTrans system on WMT20 shared news translati...

0 Liwei Wu, et al. ∙

research

∙ 04/10/2020

Multimodal Categorization of Crisis Events in Social Media

Recent developments in image classification and natural language process...

3 Mahdi Abavisani, et al. ∙

research

∙ 02/27/2020

Advances in Collaborative Filtering and Ranking

In this dissertation, we cover some recent advances in collaborative fil...

5 Liwei Wu, et al. ∙

research

∙ 08/15/2019

Temporal Collaborative Ranking Via Personalized Transformer

The collaborative ranking problem has been an important open research qu...

4 Liwei Wu, et al. ∙

research

∙ 05/29/2019

Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering

In this paper, we consider recommender systems with side information in ...

0 Liwei Wu, et al. ∙

research

∙ 05/25/2019

Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers

In deep neural nets, lower level embedding layers account for a large po...

12 Liwei Wu, et al. ∙

research

∙ 02/28/2018

SQL-Rank: A Listwise Approach to Collaborative Ranking

In this paper, we propose a listwise approach for constructing user-spec...

0 Liwei Wu, et al. ∙

Liwei Wu

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