1 code implementation • 27 Sep 2024 • Nian Ran, Peng Xiao, Yue Wang, Wesley Shi, Jianxin Lin, Qi Meng, Richard Allmendinger
The application of large deep learning models in weather forecasting has led to significant advancements in the field, including higher-resolution forecasting and extended prediction periods exemplified by models such as Pangu and Fuxi.
no code implementations • 2 Sep 2024 • Zhixiang Cheng, Hongxin Xiang, Pengsen Ma, Li Zeng, Xin Jin, Xixi Yang, Jianxin Lin, Yang Deng, Bosheng Song, Xinxin Feng, Changhui Deng, Xiangxiang Zeng
Activity cliffs, which refer to pairs of molecules that are structurally similar but show significant differences in their potency, can lead to model representation collapse and make the model challenging to distinguish them.
no code implementations • 5 Apr 2024 • Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Jianxin Lin, Bosheng Song, Xiangxiang Zeng
Knowledge graph completion (KGC) aims to alleviate the inherent incompleteness of knowledge graphs (KGs), which is a critical task for various applications, such as recommendations on the web.
1 code implementation • 20 Mar 2024 • Peng Zhou, Jianmin Wang, Chunyan Li, Zixu Wang, Yiping Liu, Siqi Sun, Jianxin Lin, Leyi Wei, Xibao Cai, Houtim Lai, Wei Liu, Longyue Wang, Yuansheng Liu, Xiangxiang Zeng
While various models and computational tools have been proposed for structure and property analysis of molecules, generating molecules that conform to all desired structures and properties remains a challenge.
no code implementations • 31 Oct 2023 • Wei Zhao, Yijun Wang, Tianyu He, Lianying Yin, Jianxin Lin, Xin Jin
To augment the richness of 3D facial animation, we construct a new 3D dataset with detailed shapes and learn to synthesize facial details in line with speech content.
1 code implementation • 9 Sep 2023 • Yifan Dong, Suhang Wu, Fandong Meng, Jie zhou, Xiaoli Wang, Jianxin Lin, Jinsong Su
2) the input text and image are often not perfectly matched, and thus the image may introduce noise into the model.
no code implementations • 3 Aug 2023 • Jianxin Lin, Peng Xiao, Yijun Wang, Rongju Zhang, Xiangxiang Zeng
To address these issues, we propose a new method called DiffColor that leverages the power of pre-trained diffusion models to recover vivid colors conditioned on a prompt text, without any additional inputs.
no code implementations • 20 Jun 2023 • Lianying Yin, Yijun Wang, Tianyu He, Jinming Liu, Wei Zhao, Bohan Li, Xin Jin, Jianxin Lin
In this paper, we present a novel framework (EMoG) to tackle the above challenges with denoising diffusion models: 1) To alleviate the one-to-many problem, we incorporate emotion clues to guide the generation process, making the generation much easier; 2) To model joint correlation, we propose to decompose the difficult gesture generation into two sub-problems: joint correlation modeling and temporal dynamics modeling.
no code implementations • 9 Oct 2022 • Jianxin Lin, Yongqiang Tang, JunPing Wang, Wensheng Zhang
Finally, a Constrained Maximum Cross-domain Likelihood (CMCL) optimization problem is deduced, by solving which the joint distributions are naturally aligned.
no code implementations • 17 Sep 2022 • Jianxin Lin, Yongqiang Tang, JunPing Wang, Wensheng Zhang
Domain generalization (DG) aims to learn a model on several source domains, hoping that the model can generalize well to unseen target domains.
no code implementations • 21 Jan 2021 • Yingxue Pang, Jianxin Lin, Tao Qin, Zhibo Chen
Image-to-image translation (I2I) aims to transfer images from a source domain to a target domain while preserving the content representations.
no code implementations • ECCV 2020 • Jianzhao Liu, Jianxin Lin, Xin Li, Wei Zhou, Sen Liu, Zhibo Chen
Most existing image restoration networks are designed in a disposable way and catastrophically forget previously learned distortions when trained on a new distortion removal task.
no code implementations • ECCV 2020 • Xin Li, Xin Jin, Jianxin Lin, Tao Yu, Sen Liu, Yaojun Wu, Wei Zhou, Zhibo Chen
Hybrid-distorted image restoration (HD-IR) is dedicated to restore real distorted image that is degraded by multiple distortions.
1 code implementation • ECCV 2020 • Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo
With TuiGAN, an image is translated in a coarse-to-fine manner where the generated image is gradually refined from global structures to local details.
1 code implementation • 1 Jun 2019 • Jianxin Lin, Yijun Wang, Tianyu He, Zhibo Chen
Unsupervised domain translation has recently achieved impressive performance with Generative Adversarial Network (GAN) and sufficient (unpaired) training data.
1 code implementation • 1 Jun 2019 • Jianxin Lin, Yingce Xia, Sen Liu, Shuqin Zhao, Zhibo Chen
Image-to-image translation models have shown remarkable ability on transferring images among different domains.
no code implementations • 29 May 2019 • Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen
In this work, we introduce a new kind of loss, multi-path consistency loss, which evaluates the differences between direct translation $\mathcal{D}_s\to\mathcal{D}_t$ and indirect translation $\mathcal{D}_s\to\mathcal{D}_a\to\mathcal{D}_t$ with $\mathcal{D}_a$ as an auxiliary domain, to regularize training.
1 code implementation • 11 Feb 2019 • Jianxin Lin, Zhibo Chen, Yingce Xia, Sen Liu, Tao Qin, Jiebo Luo
After pre-training, this network is used to extract the domain-specific features of each image.
1 code implementation • 19 Dec 2018 • Zhibo Chen, Jianxin Lin, Tiankuang Zhou, Feng Wu
The SGU sequentially takes information from two different levels as inputs and decides the output based on one active input.
no code implementations • 21 Nov 2018 • Xin Jin, Zhibo Chen, Jianxin Lin, Zhikai Chen, Wei Zhou
Most existing single image deraining methods require learning supervised models from a large set of paired synthetic training data, which limits their generality, scalability and practicality in real-world multimedia applications.
no code implementations • 19 Nov 2018 • Jianxin Lin, Tiankuang Zhou, Zhibo Chen
We present \emph{Deep Image Retargeting} (\emph{DeepIR}), a coarse-to-fine framework for content-aware image retargeting.
no code implementations • 18 Nov 2018 • Sen Liu, Jianxin Lin, Zhibo Chen
Accordingly, we introduce a collaborative training scheme: a discriminator $D$ is trained to discriminate the reconstructed image from the encrypted image, and an encryption model $G_e$ is required to generate these two kinds of images to maximize the recognition rate of $D$, leading to the same training objective for both $D$ and $G_e$.
no code implementations • 6 May 2018 • Jianxin Lin, Tiankuang Zhou, Zhibo Chen
Experiment results demonstrate that our SGEN is more effective at multi-scale human face restoration with more image details and less noise than state-of-the-art image restoration models.
no code implementations • CVPR 2018 • Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu
In this paper, we study a new problem, conditional image-to-image translation, which is to translate an image from the source domain to the target domain conditioned on a given image in the target domain.
no code implementations • NeurIPS 2017 • Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, Tie-Yan Liu
In this work, we introduce the deliberation process into the encoder-decoder framework and propose deliberation networks for sequence generation.
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