1 code implementation • EMNLP 2021 • Anlin Qu, Jianwei Niu, Shasha Mo
Relative position embedding (RPE) is a successful method to explicitly and efficaciously encode position information into Transformer models.
no code implementations • EMNLP 2021 • Sen Zhang, Jianwei Niu, Chuyuan Wei
Fact consistency assessment requires the reasoning capability to find subtle clues to identify whether a model-generated summary is consistent with the original document.
1 code implementation • COLING 2022 • Ruri Liu, Shasha Mo, Jianwei Niu, Shengda Fan
This paper proposes a sentence-level DSRE method beyond typical instance selection approaches by preventing samples from falling into the wrong classification space on the feature space.
no code implementations • COLING 2022 • Feng Jiang, Jianwei Niu, Shasha Mo, Shengda Fan
To this end, we propose a novel DocRE model called Key Mention pairs Guided Relation Extractor (KMGRE) to directly model mention-level relations, containing two modules: a mention-level relation extractor and a key instance classifier.
no code implementations • 30 May 2024 • Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su
Federated Semi-Supervised Learning (FSSL) leverages both labeled and unlabeled data on clients to collaboratively train a model. In FSSL, the heterogeneous data can introduce prediction bias into the model, causing the model's prediction to skew towards some certain classes.
no code implementations • 27 Apr 2024 • Yizhe Xiong, Xiansheng Chen, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Jianwei Niu, Guiguang Ding
We first investigate the imbalance of loss on each token positions and develop a reciprocal-law across model scales and training stages.
no code implementations • 27 Apr 2024 • Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Peng Liu, Hui Chen, Guiguang Ding
Due to their infrequent appearance in the text corpus, Scaffold Tokens pose a learning imbalance issue for language models.
no code implementations • 18 Mar 2024 • Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Jianwei Niu
To fill this gap, we construct the Synthetic Underwater Video Enhancement (SUVE) dataset, comprising 840 diverse underwater-style videos paired with ground-truth reference videos.
no code implementations • 5 Feb 2024 • Xiaoheng Jiang, Feng Yan, Yang Lu, Ke Wang, Shuai Guo, Tianzhu Zhang, Yanwei Pang, Jianwei Niu, Mingliang Xu
To address these issues, we propose a joint attention-guided feature fusion network (JAFFNet) for saliency detection of surface defects based on the encoder-decoder network.
no code implementations • 2 Jan 2024 • Ziheng Xu, Jianwei Niu, Qingfeng Li, Tao Ren, Chen Chen
In this paper we present NID-SLAM, which significantly improves the performance of neural SLAM in dynamic environments.
no code implementations • 11 Dec 2023 • Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Jianwei Niu, Fuchun Sun
To address this issue, we propose UIE with Diffusion Prior (UIEDP), a novel framework treating UIE as a posterior distribution sampling process of clear images conditioned on degraded underwater inputs.
1 code implementation • ICCV 2023 • Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang
The reasoning behind this approach is understandable, as localizing parameters that are easily influenced by non-IID data can prevent the potential negative effect of collaboration.
no code implementations • 26 Jul 2023 • Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu, Xinghao Wu, Jiaxing Shen
FedPick achieves PFL in the low-dimensional feature space by selecting task-relevant features adaptively for each client from the features generated by the global encoder based on its local data distribution.
no code implementations • 19 Jul 2023 • Hao Su, Xuefeng Liu, Jianwei Niu, Ji Wan, Xinghao Wu
Unlike these studies, our 3Deformer is a non-training and common framework, which only requires supervision of readily-available semantic images, and is compatible with editing various objects unlimited by datasets.
no code implementations • 5 Jun 2023 • Haolin Wang, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Jiaxing Shen
Our further investigation shows that the decline is due to the continuous accumulation of dissimilarities among client models during the layer-by-layer back-propagation process, which we refer to as "divergence accumulation."
no code implementations • IEEE Transactions on Circuits and Systems for Video Technology 2022 • Wei Chen, Xuefeng Liu, Jianwei Niu
The visual storytelling (VIST) task aims at generating reasonable, human-like and coherent stories with the image streams as input.
Ranked #5 on Visual Storytelling on VIST
no code implementations • 21 Apr 2022 • Jianwei Niu, Hok Shing Wong, Tieyong Zeng
Phase retrieval is an important problem with significant physical and industrial applications.
3 code implementations • 29 Mar 2022 • BinBin Zhang, Di wu, Zhendong Peng, Xingchen Song, Zhuoyuan Yao, Hang Lv, Lei Xie, Chao Yang, Fuping Pan, Jianwei Niu
Recently, we made available WeNet, a production-oriented end-to-end speech recognition toolkit, which introduces a unified two-pass (U2) framework and a built-in runtime to address the streaming and non-streaming decoding modes in a single model.
1 code implementation • 10 Oct 2021 • Hao Su, Jianwei Niu, Xuefeng Liu, Jiahe Cui, Ji Wan
Manga is a fashionable Japanese-style comic form that is composed of black-and-white strokes and is generally displayed as raster images on digital devices.
1 code implementation • CVPR 2021 • Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Ji Wan, Mingliang Xu, Tao Ren
Quick Response (QR) code is one of the most worldwide used two-dimensional codes.
1 code implementation • CVPR 2021 • Yuntao Qu, Shasha Mo, Jianwei Niu
Firstly, methods based on the noise probability modeling can only be applied to class-level noisy labels.
2 code implementations • NeurIPS 2021 • Yuxin Fang, Bencheng Liao, Xinggang Wang, Jiemin Fang, Jiyang Qi, Rui Wu, Jianwei Niu, Wenyu Liu
Can Transformer perform 2D object- and region-level recognition from a pure sequence-to-sequence perspective with minimal knowledge about the 2D spatial structure?
Ranked #30 on Object Detection on COCO-O
5 code implementations • ICCV 2021 • Zhengsu Chen, Lingxi Xie, Jianwei Niu, Xuefeng Liu, Longhui Wei, Qi Tian
The past year has witnessed the rapid development of applying the Transformer module to vision problems.
Ranked #511 on Image Classification on <h2>oi</h2>
no code implementations • 30 Nov 2020 • Zhengsu Chen, Jianwei Niu, Xuefeng Liu, Shaojie Tang
Instead of randomly dropping units, SelectScale selects the important features in networks and adjusts them during training.
1 code implementation • 17 Nov 2020 • Jiahe Cui, Jianwei Niu, Zhenchao Ouyang, Yunxiang He, Dian Liu
Recently, the rapid development of Solid-State LiDAR (SSL) enables low-cost and efficient obtainment of 3D point clouds from the environment, which has inspired a large quantity of studies and applications.
no code implementations • 16 Nov 2020 • Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Ji Wan, Mingliang Xu, Tao Ren
Quick Response (QR) code is one of the most worldwide used two-dimensional codes.~Traditional QR codes appear as random collections of black-and-white modules that lack visual semantics and aesthetic elements, which inspires the recent works to beautify the appearances of QR codes.
no code implementations • 25 Apr 2020 • Xiaozheng Xie, Jianwei Niu, Xuefeng Liu, Zhengsu Chen, Shaojie Tang, Shui Yu
Although deep learning models like CNNs have achieved great success in medical image analysis, the small size of medical datasets remains a major bottleneck in this area.
no code implementations • 22 Apr 2020 • Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Jiahe Cui, Ji Wan
Manga is a world popular comic form originated in Japan, which typically employs black-and-white stroke lines and geometric exaggeration to describe humans' appearances, poses, and actions.
1 code implementation • CVPR 2020 • Zhengsu Chen, Jianwei Niu, Lingxi Xie, Xuefeng Liu, Longhui Wei, Qi Tian
Automatic designing computationally efficient neural networks has received much attention in recent years.