Search Results for author: Liwei Wu

Found 33 papers, 15 papers with code

3D Model-based Zero-Shot Pose Estimation Pipeline

no code implementations29 May 2023 Jianqiu Chen, Mingshan Sun, Tianpeng Bao, Rui Zhao, Liwei Wu, Zhenyu He

Specifically, we design a two-step pipeline consisting of 3D model-based zero-shot instance segmentation and a zero-shot pose estimator.

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

no code implementations23 May 2023 Haochen Wang, Yujun Shen, Jingjing Fei, Wei Li, Liwei Wu, Yuxi Wang, Zhaoxiang Zhang

To this end, we propose T2S-DA, which we interpret as a form of pulling Target to Source for Domain Adaptation, encouraging the model in learning similar cross-domain features.

Domain Generalization Semantic Segmentation

Efficient Masked Autoencoders with Self-Consistency

no code implementations28 Feb 2023 Zhaowen Li, Yousong Zhu, Zhiyang Chen, Wei Li, Chaoyang Zhao, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang

However, its high random mask ratio would result in two serious problems: 1) the data are not efficiently exploited, which brings inefficient pre-training (\eg, 1600 epochs for MAE $vs.$ 300 epochs for the supervised), and 2) the high uncertainty and inconsistency of the pre-trained model, \ie, the prediction of the same patch may be inconsistent under different mask rounds.

Language Modelling Masked Language Modeling +3

Balancing Logit Variation for Long-Tailed Semantic Segmentation

no code implementations CVPR 2023 Yuchao Wang, Jingjing Fei, Haochen Wang, Wei Li, Tianpeng Bao, Liwei Wu, Rui Zhao, Yujun Shen

In this way, we manage to close the gap between the feature areas of different categories, resulting in a more balanced representation.

Semantic Segmentation

Exploring Stochastic Autoregressive Image Modeling for Visual Representation

1 code implementation3 Dec 2022 Yu Qi, Fan Yang, Yousong Zhu, Yufei Liu, Liwei Wu, Rui Zhao, Wei Li

By introducing stochastic prediction and the parallel encoder-decoder, SAIM significantly improve the performance of autoregressive image modeling.

Self-Supervised Learning

MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection

no code implementations25 Nov 2022 Tianpeng Bao, Jiadong Chen, Wei Li, Xiang Wang, Jingjing Fei, Liwei Wu, Rui Zhao, Ye Zheng

However, existing datasets for unsupervised anomaly detection are biased towards manufacturing inspection, not considering maintenance inspection which is usually conducted under outdoor uncontrolled environment such as varying camera viewpoints, messy background and degradation of object surface after long-term working.

Unsupervised Anomaly Detection

Geo6D: Geometric Constraints Learning for 6D Pose Estimation

no code implementations20 Oct 2022 Jianqiu Chen, Mingshan Sun, Ye Zheng, Tianpeng Bao, Zhenyu He, Donghai Li, Guoqiang Jin, Rui Zhao, Liwei Wu, Xiaoke Jiang

Existing direct 6D pose estimation methods regress target 6D poses without the need for post-processing, making them effective and easy to develop.

6D Pose Estimation object-detection +3

PARAGEN : A Parallel Generation Toolkit

1 code implementation7 Oct 2022 Jiangtao Feng, Yi Zhou, Jun Zhang, Xian Qian, Liwei Wu, Zhexi Zhang, Yanming Liu, Mingxuan Wang, Lei LI, Hao Zhou

PARAGEN is a PyTorch-based NLP toolkit for further development on parallel generation.

Model Selection

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

2 code implementations28 Sep 2022 Zhiyang Chen, Yousong Zhu, Zhaowen Li, Fan Yang, Wei Li, Haixin Wang, Chaoyang Zhao, Liwei Wu, Rui Zhao, Jinqiao Wang, Ming Tang

Obj2Seq is able to flexibly determine input categories to satisfy customized requirements, and be easily extended to different visual tasks.

Multi-Label Classification Object Detection +1

Uni6Dv2: Noise Elimination for 6D Pose Estimation

no code implementations15 Aug 2022 Mingshan Sun, Ye Zheng, Tianpeng Bao, Jianqiu Chen, Guoqiang Jin, Liwei Wu, Rui Zhao, Xiaoke Jiang

Uni6D is the first 6D pose estimation approach to employ a unified backbone network to extract features from both RGB and depth images.

6D Pose Estimation Denoising +2

Benchmarking Unsupervised Anomaly Detection and Localization

no code implementations30 May 2022 Ye Zheng, Xiang Wang, Yu Qi, Wei Li, Liwei Wu

From the time the MVTec AD dataset was proposed to the present, new research methods that are constantly being proposed push its precision to saturation.

Benchmarking Unsupervised Anomaly Detection

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

no code implementations CVPR 2022 Xiaoke Jiang, Donghai Li, Hao Chen, Ye Zheng, Rui Zhao, Liwei Wu

They use a 2D CNN for RGB images and a per-pixel point cloud network for depth data, as well as a fusion network for feature fusion.

6D Pose Estimation

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

no code implementations CVPR 2022 Zhaowen Li, Yousong Zhu, Fan Yang, Wei Li, Chaoyang Zhao, Yingying Chen, Zhiyang Chen, Jiahao Xie, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang

Furthermore, our method can also exploit single-centric-object dataset such as ImageNet and outperforms BYOL by 2. 5% with the same pre-training epochs in linear probing, and surpass current self-supervised object detection methods on COCO dataset, demonstrating its universality and potential.

Image Classification object-detection +3

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

1 code implementation CVPR 2022 Yuchao Wang, Haochen Wang, Yujun Shen, Jingjing Fei, Wei Li, Guoqiang Jin, Liwei Wu, Rui Zhao, Xinyi Le

A common practice is to select the highly confident predictions as the pseudo ground-truth, but it leads to a problem that most pixels may be left unused due to their unreliability.

Semi-Supervised Semantic Segmentation

Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus

1 code implementation24 Jan 2022 Yaoming Zhu, Liwei Wu, Shanbo Cheng, Mingxuan Wang

The punctuation restoration task aims to correctly punctuate the output transcriptions of automatic speech recognition systems.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

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

3 code implementations15 Nov 2021 Jiawei Yu, Ye Zheng, Xiang Wang, Wei Li, Yushuang Wu, Rui Zhao, Liwei Wu

However, current methods can not effectively map image features to a tractable base distribution and ignore the relationship between local and global features which are important to identify anomalies.

Ranked #7 on Unsupervised Anomaly Detection on DAGM2007 (using extra training data)

Unsupervised Anomaly Detection Weakly Supervised Defect Detection

Glancing at the Patch: Anomaly Localization With Global and Local Feature Comparison

no code implementations CVPR 2021 Shenzhi Wang, Liwei Wu, Lei Cui, Yujun Shen

More concretely, we employ a Local-Net and Global-Net to extract features from any individual patch and its surrounding respectively.

Anomaly Detection

MST: Masked Self-Supervised Transformer for Visual Representation

no code implementations NeurIPS 2021 Zhaowen Li, Zhiyang Chen, Fan Yang, Wei Li, Yousong Zhu, Chaoyang Zhao, Rui Deng, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang

More importantly, the masked tokens together with the remaining tokens are further recovered by a global image decoder, which preserves the spatial information of the image and is more friendly to the downstream dense prediction tasks.

Language Modelling Masked Language Modeling +3

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

3 code implementations ACL 2021 Xiao Pan, Mingxuan Wang, Liwei Wu, Lei LI

Existing multilingual machine translation approaches mainly focus on English-centric directions, while the non-English directions still lag behind.

Contrastive Learning Data Augmentation +2

Multimodal Categorization of Crisis Events in Social Media

1 code implementation CVPR 2020 Mahdi Abavisani, Liwei Wu, Shengli Hu, Joel Tetreault, Alejandro Jaimes

Recent developments in image classification and natural language processing, coupled with the rapid growth in social media usage, have enabled fundamental advances in detecting breaking events around the world in real-time.

Event Detection Image Classification

Advances in Collaborative Filtering and Ranking

1 code implementation27 Feb 2020 Liwei Wu

In this dissertation, we cover some recent advances in collaborative filtering and ranking.

Collaborative Filtering Collaborative Ranking +1

SSE-PT: Sequential Recommendation Via Personalized Transformer

2 code implementations25 Sep 2019 Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack

Recent advances in deep learning, especially the discovery of various attention mechanisms and newer architectures in addition to widely used RNN and CNN in natural language processing, have allowed for better use of the temporal ordering of items that each user has engaged with.

 Ranked #1 on Recommendation Systems on MovieLens 1M (nDCG@10 metric)

Sequential Recommendation

Temporal Collaborative Ranking Via Personalized Transformer

2 code implementations15 Aug 2019 Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack

Recent advances in deep learning, especially the discovery of various attention mechanisms and newer architectures in addition to widely used RNN and CNN in natural language processing, have allowed us to make better use of the temporal ordering of items that each user has engaged with.

Collaborative Ranking

Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering

no code implementations29 May 2019 Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh

In this paper, we propose using Graph DNA, a novel Deep Neighborhood Aware graph encoding algorithm, for exploiting deeper neighborhood information.

Collaborative Filtering Recommendation Systems

Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers

2 code implementations NeurIPS 2019 Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack

We find that when used along with widely-used regularization methods such as weight decay and dropout, our proposed SSE can further reduce overfitting, which often leads to more favorable generalization results.

Knowledge Graphs Recommendation Systems

SQL-Rank: A Listwise Approach to Collaborative Ranking

1 code implementation ICML 2018 Liwei Wu, Cho-Jui Hsieh, James Sharpnack

In this paper, we propose a listwise approach for constructing user-specific rankings in recommendation systems in a collaborative fashion.

Collaborative Ranking Recommendation Systems

Cannot find the paper you are looking for? You can Submit a new open access paper.