no code implementations • WMT (EMNLP) 2021 • Han Yang, Bojie Hu, Wanying Xie, Ambyera Han, Pan Liu, Jinan Xu, Qi Ju
This paper describes TenTrans’ submission to WMT21 Multilingual Low-Resource Translation shared task for the Romance language pairs.
no code implementations • WMT (EMNLP) 2021 • Wanying Xie, Bojie Hu, Han Yang, Dong Yu, Qi Ju
This paper describes TenTrans large-scale multilingual machine translation system for WMT 2021.
no code implementations • 13 May 2024 • Mingchen Li, Zaifu Zhan, Han Yang, Yongkang Xiao, Jiatan Huang, Rui Zhang
To this end, we proposed an evaluation framework to assess the RALs' performance on different biomedical NLP tasks and establish four different testbeds based on the aforementioned fundamental abilities.
no code implementations • 20 Jan 2024 • Yanlong Zang, Han Yang, Jiaxu Miao, Yi Yang
Image-based virtual try-on systems, which fit new garments onto human portraits, are gaining research attention. An ideal pipeline should preserve the static features of clothes(like textures and logos)while also generating dynamic elements(e. g. shadows, folds)that adapt to the model's pose and environment. Previous works fail specifically in generating dynamic features, as they preserve the warped in-shop clothes trivially with predicted an alpha mask by composition. To break the dilemma of over-preserving and textures losses, we propose a novel diffusion-based Product-level virtual try-on pipeline,\ie PLTON, which can preserve the fine details of logos and embroideries while producing realistic clothes shading and wrinkles. The main insights are in three folds:1)Adaptive Dynamic Rendering:We take a pre-trained diffusion model as a generative prior and tame it with image features, training a dynamic extractor from scratch to generate dynamic tokens that preserve high-fidelity semantic information.
1 code implementation • 16 Dec 2023 • Yuntao Gui, Xiao Yan, Peiqi Yin, Han Yang, James Cheng
Thus, we design the sparse MHA module, which computes and stores only large attention weights to reduce memory consumption, and the routed FFN module, which dynamically activates a subset of model parameters for each token to reduce computation cost.
no code implementations • 6 Dec 2023 • Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu, Sasha Shysheya, Jonathan Crabbé, Lixin Sun, Jake Smith, Bichlien Nguyen, Hannes Schulz, Sarah Lewis, Chin-wei Huang, Ziheng Lu, Yichi Zhou, Han Yang, Hongxia Hao, Jielan Li, Ryota Tomioka, Tian Xie
We further introduce adapter modules to enable fine-tuning towards any given property constraints with a labeled dataset.
1 code implementation • 9 Oct 2023 • Yaosen Chen, Yu Yao, Zhiqiang Li, Wei Wang, Yanru Zhang, Han Yang, Xuming Wen
First, FaceEncoder is used to obtain latent code by extracting features from the visual face information taken from the video source containing the face frame. Then, HyperConv, which weighting parameters are updated by HyperNet with the audio features as input, will modify the latent code to synchronize the lip movement with the audio.
1 code implementation • ICCV 2023 • Han Yang, Tianyu Wang, Xiaowei Hu, Chi-Wing Fu
Existing shadow detection datasets often contain missing or mislabeled shadows, which can hinder the performance of deep learning models trained directly on such data.
1 code implementation • 3 Aug 2023 • Zheyu Zhang, Han Yang, Bolei Ma, David Rügamer, Ercong Nie
Large Language Models (LLMs) demonstrate remarkable performance on a variety of natural language understanding (NLU) tasks, primarily due to their in-context learning ability.
1 code implementation • 24 Jul 2023 • Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Boyu Diao, Yongjun Xu
The unified method is applied to distill several student models trained on CC3M+12M.
1 code implementation • 16 Mar 2023 • Yaosen Chen, Han Yang, Yuexin Yang, Yuegen Liu, Wei Wang, Xuming Wen, Chaoping Xie
However, existing methods obtain stylized video sequences by performing frame-by-frame photorealistic style transfer, which is inefficient and does not ensure the temporal consistency of the stylized video.
no code implementations • 15 Mar 2023 • Han Yang, Qiuli Wang, Yue Zhang, Zhulin An, Chen Liu, Xiaohong Zhang, S. Kevin Zhou
Radiologists possess diverse training and clinical experiences, leading to variations in the segmentation annotations of lung nodules and resulting in segmentation uncertainty. Conventional methods typically select a single annotation as the learning target or attempt to learn a latent space comprising multiple annotations.
4 code implementations • 31 Oct 2022 • Ling Sun, Guiqiong Liu, Xunping Jiang, Junrui Liu, Xu Wang, Han Yang, Shiping Yang
However, there is no study on normalizing of the animal face image with arbitrary directions.
no code implementations • 21 Jul 2022 • Shuhe Zhang, Tao Peng, Zeyu Ke, Han Yang, Tos T. J. M. Berendschot, Jinhua Zhou
To tackle the mismatch of background and increases the experimental robustness, we propose the Retinex-qDPC in which we use the images edge features as data fidelity term yielding L2-Retinex-qDPC and L1-Retinex-qDPC for high background-robustness qDPC reconstruction.
2 code implementations • 15 Jun 2022 • Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng
Recently, there has been a growing surge of interest in enabling machine learning systems to generalize well to Out-of-Distribution (OOD) data.
1 code implementation • ICLR 2022 • Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng
Recently Graph Injection Attack (GIA) emerges as a practical attack scenario on Graph Neural Networks (GNNs), where the adversary can merely inject few malicious nodes instead of modifying existing nodes or edges, i. e., Graph Modification Attack (GMA).
3 code implementations • 11 Feb 2022 • Yongqiang Chen, Yonggang Zhang, Yatao Bian, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng
Despite recent success in using the invariance principle for out-of-distribution (OOD) generalization on Euclidean data (e. g., images), studies on graph data are still limited.
no code implementations • CVPR 2022 • Han Yang, Xinrui Yu, Ziwei Liu
Virtual try-on aims to transfer a target clothing image onto a reference person.
Ranked #4 on Virtual Try-on on VITON
2 code implementations • 24 Oct 2021 • Han Yang, Lu Shen, Mengke Zhang, Qiuli Wang
With an Uncertainty-Aware Module, this network can provide a Multi-Confidence Mask (MCM), pointing out regions with different segmentation uncertainty levels.
1 code implementation • CVPR 2021 • Chongjian Ge, Yibing Song, Yuying Ge, Han Yang, Wei Liu, Ping Luo
To this end, DCTON can be naturally trained in a self-supervised manner following cycle consistency learning.
1 code implementation • 27 Jan 2021 • Kaili Ma, Haochen Yang, Han Yang, Yongqiang Chen, James Cheng
To assess the discrepancy between the prediction and the ground-truth in the downstream tasks for these contrastive pairs, we adapt the expected calibration error (ECE) to graph contrastive learning.
no code implementations • 16 Dec 2020 • Yuan Feng, Hexiang Wang, Han Yang, Fangbo Wang
Although the basic neural network provides an alternative approach for structural dynamics analysis, the lack of physics law inside the neural network limits the model accuracy and fidelity.
1 code implementation • 4 Sep 2020 • Han Yang, Kaili Ma, James Cheng
The graph Laplacian regularization term is usually used in semi-supervised representation learning to provide graph structure information for a model $f(X)$.
1 code implementation • CVPR 2020 • Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo
Second, a clothes warping module warps clothes image according to the generated semantic layout, where a second-order difference constraint is introduced to stabilize the warping process during training. Third, an inpainting module for content fusion integrates all information (e. g. reference image, semantic layout, warped clothes) to adaptively produce each semantic part of human body.
no code implementations • CVPR 2020 • Han Yang, Xingjian Zhen, Ying Chi, Lei Zhang, Xian-Sheng Hua
On the technical side, the Partial-Residual GCN takes the position features of the branches, with the 3D spatial image features as conditions, to predict the label for each branches.
3 code implementations • 12 Mar 2020 • Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, WangMeng Zuo, Ping Luo
First, a semantic layout generation module utilizes semantic segmentation of the reference image to progressively predict the desired semantic layout after try-on.
Ranked #4 on Virtual Try-on on VITON (IS metric)
1 code implementation • 18 Feb 2020 • Han Yang, Xiao Yan, Xinyan Dai, Yongqiang Chen, James Cheng
In this paper, we propose self-enhanced GNN (SEG), which improves the quality of the input data using the outputs of existing GNN models for better performance on semi-supervised node classification.
2 code implementations • 31 Jan 2020 • Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng
Edit-distance-based string similarity search has many applications such as spell correction, data de-duplication, and sequence alignment.
1 code implementation • 12 Nov 2019 • Xinyan Dai, Xiao Yan, Kaiwen Zhou, Han Yang, Kelvin K. W. Ng, James Cheng, Yu Fan
In particular, at the high compression ratio end, HSQ provides a low per-iteration communication cost of $O(\log d)$, which is favorable for federated learning.
1 code implementation • WS 2017 • Han Yang, Marta R. Costa-jussà, José A. R. Fonollosa
Natural language inference (NLI) is a central problem in language understanding.