no code implementations • ECCV 2020 • Xi Cheng, Zhen-Yong Fu, Jian Yang
In the past few years, we have witnessed the great progress of image super-resolution (SR) thanks to the power of deep learning.
no code implementations • 19 Apr 2024 • Yuchen Zhang, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan
To bridge the gap, this work proposes a heterogeneous subgraph transformer (HeteroSGT) to exploit subgraphs in our constructed heterogeneous graph.
no code implementations • 15 Apr 2024 • Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
Spectral Graph Neural Networks (GNNs) have attracted great attention due to their capacity to capture patterns in the frequency domains with essential graph filters.
no code implementations • 13 Apr 2024 • Shun Zhang, Chaoran Yan, Jian Yang, Changyu Ren, Jiaqi Bai, Tongliang Li, Zhoujun Li
To address the aforementioned challenges, we propose a Robust New Intent Discovery (RoNID) framework optimized by an EM-style method, which focuses on constructing reliable pseudo-labels and obtaining cluster-friendly discriminative representations.
no code implementations • 6 Apr 2024 • Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
Spectral Graph Neural Networks (GNNs) have achieved tremendous success in graph learning.
1 code implementation • 2 Apr 2024 • Rui Xie, Ying Tai, Kai Zhang, Zhenyu Zhang, Jun Zhou, Jian Yang
Blind super-resolution methods based on stable diffusion showcase formidable generative capabilities in reconstructing clear high-resolution images with intricate details from low-resolution inputs.
no code implementations • 29 Mar 2024 • Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie, Jian Yang
Establishing reliable correspondences is essential for registration tasks such as 3D and 2D3D registration.
1 code implementation • 26 Mar 2024 • Gan Pei, Jiangning Zhang, Menghan Hu, Zhenyu Zhang, Chengjie Wang, Yunsheng Wu, Guangtao Zhai, Jian Yang, Chunhua Shen, DaCheng Tao
Deepfake is a technology dedicated to creating highly realistic facial images and videos under specific conditions, which has significant application potential in fields such as entertainment, movie production, digital human creation, to name a few.
no code implementations • 26 Mar 2024 • Jian Yang, Hongcheng Guo, Yuwei Yin, Jiaqi Bai, Bing Wang, Jiaheng Liu, Xinnian Liang, Linzheng Cahi, Liqun Yang, Zhoujun Li
Our method aims to minimize the representation distance of different languages by regarding the image as a central language.
no code implementations • 25 Mar 2024 • Shun Zhang, Jian Yang, Jiaqi Bai, Chaoran Yan, Tongliang Li, Zhao Yan, Zhoujun Li
New Intent Discovery (NID) aims to recognize known and infer new intent categories with the help of limited labeled and large-scale unlabeled data.
no code implementations • 22 Mar 2024 • Zhiqiang Yan, Yuankai Lin, Kun Wang, Yupeng Zheng, YuFei Wang, Zhenyu Zhang, Jun Li, Jian Yang
Depth completion is a vital task for autonomous driving, as it involves reconstructing the precise 3D geometry of a scene from sparse and noisy depth measurements.
1 code implementation • 18 Mar 2024 • YuXuan Li, Xiang Li, Yimain Dai, Qibin Hou, Li Liu, Yongxiang Liu, Ming-Ming Cheng, Jian Yang
While a considerable amount of research has been dedicated to remote sensing classification, object detection and semantic segmentation, most of these studies have overlooked the valuable prior knowledge embedded within remote sensing scenarios.
1 code implementation • 11 Mar 2024 • YuXuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang
To the best of our knowledge, SARDet-100K is the first COCO-level large-scale multi-class SAR object detection dataset ever created.
Ranked #1 on 2D Object Detection on SARDet-100K (using extra training data)
no code implementations • 10 Mar 2024 • Yuqin Dai, Wanlu Zhu, Ronghui Li, Zeping Ren, Xiangzheng Zhou, Xiu Li, Jun Li, Jian Yang
Specifically, to tackle dancer collisions, we introduce a Dance-Beat Navigator capable of generating trajectories for multiple dancers based on the music, complemented by a Distance-Consistency loss to maintain appropriate spacing among trajectories within a reasonable threshold.
1 code implementation • 5 Mar 2024 • Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang
To our best knowledge, we are the first to (1) perform unsupervised domain-specific prompt-driven knowledge distillation for CLIP, and (2) establish a practical pre-storing mechanism of text features as shared class vectors between teacher and student.
Ranked #1 on Prompt Engineering on Oxford-IIIT Pet Dataset
1 code implementation • 28 Feb 2024 • Wei zhang, Hongcheng Guo, Anjie Le, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Shi Xu, Runqiang Zang, Liangfan Zheng, Bo Zhang
Log parsing, which entails transforming raw log messages into structured templates, constitutes a critical phase in the automation of log analytics.
no code implementations • 21 Feb 2024 • Zhengxue Wang, Zhiqiang Yan, Ming-Hsuan Yang, Jinshan Pan, Jian Yang, Ying Tai, Guangwei Gao
Specifically, we design an All-in-one Prior Propagation that computes the similarity between multi-modal scene priors, i. e., RGB, normal, semantic, and depth, to reduce the texture interference.
no code implementations • 20 Feb 2024 • Penghai Zhao, Xin Zhang, Ming-Ming Cheng, Jian Yang, Xiang Li
To improve efficiency, this paper aims to provide a thorough review of reviews in the PAMI field from diverse perspectives.
no code implementations • 17 Feb 2024 • Ying Mo, Jian Yang, Jiahao Liu, Shun Zhang, Jingang Wang, Zhoujun Li
Recently, there has been increasing interest in exploring the capabilities of advanced large language models (LLMs) in the field of information extraction (IE), specifically focusing on tasks related to named entity recognition (NER) and relation extraction (RE).
1 code implementation • 8 Feb 2024 • Senmao Li, Joost Van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang
However, these models struggle to effectively suppress the generation of undesired content, which is explicitly requested to be omitted from the generated image in the prompt.
1 code implementation • 18 Jan 2024 • Xianfu Cheng, Weixiao Zhou, Xiang Li, Xiaoming Chen, Jian Yang, Tongliang Li, Zhoujun Li
In this work, we propose the VIsion Permutable extractor for fast and efficient scene Text Recognition (VIPTR), which achieves an impressive balance between high performance and rapid inference speeds in the domain of STR.
no code implementations • 15 Jan 2024 • Runqiang Zang, Hongcheng Guo, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Xu Shi, Liangfan Zheng, Bo Zhang
In spite of the rapid advancements in unsupervised log anomaly detection techniques, the current mainstream models still necessitate specific training for individual system datasets, resulting in costly procedures and limited scalability due to dataset size, thereby leading to performance bottlenecks.
no code implementations • 13 Jan 2024 • Linzheng Chai, Jian Yang, Tao Sun, Hongcheng Guo, Jiaheng Liu, Bing Wang, Xiannian Liang, Jiaqi Bai, Tongliang Li, Qiyao Peng, Zhoujun Li
To bridge the gap among different languages, we propose a cross-lingual instruction fine-tuning framework (xCOT) to transfer knowledge from high-resource languages to low-resource languages.
1 code implementation • 12 Jan 2024 • Minxing Luo, Wentao Cheng, Jian Yang
Our method tracks handle points more precisely by utilizing the feature map of the rotated images, thus ensuring precise optimization and high image fidelity.
1 code implementation • ACM Transactions on Multimedia Computing, Communications, and Applications 2024 • Mingyu Li, Tao Zhou, Zhuo Huang, Jian Yang, Jie Yang, Chen Gong
Nowadays, class-mismatch problem has drawn intensive attention in Semi-Supervised Learning (SSL), where the classes of labeled data are assumed to be only a subset of the classes of unlabeled data.
1 code implementation • 9 Jan 2024 • Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang, Zhoujun Li, Tieqiao Zheng, Bo Zhang, Junran Peng, Qi Tian
Log anomaly detection is a key component in the field of artificial intelligence for IT operations (AIOps).
no code implementations • 1 Jan 2024 • Chaoqun Gong, Yuqin Dai, Ronghui Li, Achun Bao, Jun Li, Jian Yang, Yachao Zhang, Xiu Li
Generating 3D human models directly from text helps reduce the cost and time of character modeling.
no code implementations • 1 Jan 2024 • Ronghui Li, Yuqin Dai, Yachao Zhang, Jun Li, Jian Yang, Jie Guo, Xiu Li
Existing music-driven 3D dance generation methods mainly concentrate on high-quality dance generation, but lack sufficient control during the generation process.
no code implementations • 31 Dec 2023 • Qianliang Wu, Haobo Jiang, Yaqing Ding, Lei Luo, Jin Xie, Jian Yang
They typically compute candidate correspondences based on distances in the point feature space.
1 code implementation • 18 Dec 2023 • Bing Wang, Changyu Ren, Jian Yang, Xinnian Liang, Jiaqi Bai, Linzheng Chai, Zhao Yan, Qian-Wen Zhang, Di Yin, Xing Sun, Zhoujun Li
Our framework comprises a core decomposer agent for Text-to-SQL generation with few-shot chain-of-thought reasoning, accompanied by two auxiliary agents that utilize external tools or models to acquire smaller sub-databases and refine erroneous SQL queries.
1 code implementation • 17 Dec 2023 • Xiaoqi An, Lin Zhao, Chen Gong, Nannan Wang, Di Wang, Jian Yang
In this paper, we address the following question: "Only sparse human keypoint locations are detected for human pose estimation, is it really necessary to describe the whole image in a dense, high-resolution manner?"
1 code implementation • 15 Dec 2023 • Senmao Li, Taihang Hu, Fahad Shahbaz Khan, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, Jian Yang
This finding inspired us to omit the encoder at certain adjacent time-steps and reuse cyclically the encoder features in the previous time-steps for the decoder.
1 code implementation • 13 Dec 2023 • Yanling Tian, Di Chen, Yunan Liu, Jian Yang, Shanshan Zhang
To the best of our knowledge, this is the first work that investigates how to support full-task pre-training using sub-task data.
1 code implementation • 10 Dec 2023 • Zhengxue Wang, Zhiqiang Yan, Jian Yang
Recent image guided DSR approaches mainly focus on spatial domain to rebuild depth structure.
1 code implementation • 26 Oct 2023 • Hongcheng Guo, Boyang Wang, Jiaqi Bai, Jiaheng Liu, Jian Yang, Zhoujun Li
In other words, the Multimodal Manga Complement (M2C) task has not been investigated, which aims to handle the aforementioned issues by providing a shared semantic space for vision and language understanding.
no code implementations • 16 Oct 2023 • Yunli Wang, Zhiqiang Wang, Jian Yang, Shiyang Wen, Dongying Kong, Han Li, Kun Gai
Concretely, we employ multi-task learning to adaptively combine the optimization of relaxed and full targets, which refers to metrics Recall@m@k and OPA respectively.
no code implementations • 12 Oct 2023 • Zihao Xu, Xuan Tang, Yufei Shi, Jianfeng Zhang, Jian Yang, Mingsong Chen, Xian Wei
To address this problem, we propose a novel replay strategy called Manifold Expansion Replay (MaER).
no code implementations • 10 Oct 2023 • Tong Yuan, Jian Yang, Zeyi Wen
With a concrete case study, our framework can derive a Bayesian Network from a dataset based on the causal relationships between weather and traffic events across the United States.
no code implementations • 3 Oct 2023 • Jun Li, Zedong Zhang, Jian Yang
Generating creative combinatorial objects from two seemingly unrelated object texts is a challenging task in text-to-image synthesis, often hindered by a focus on emulating existing data distributions.
1 code implementation • 1 Oct 2023 • Zekun Moore Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Stephen W. Huang, Jie Fu, Junran Peng
The advent of Large Language Models (LLMs) has paved the way for complex tasks such as role-playing, which enhances user interactions by enabling models to imitate various characters.
2 code implementations • 28 Sep 2023 • Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu
Large language models (LLMs) have revolutionized the field of artificial intelligence, enabling natural language processing tasks that were previously thought to be exclusive to humans.
Ranked #3 on Multi-Label Text Classification on CC3M-TagMask
no code implementations • 17 Sep 2023 • Hongcheng Guo, Jian Yang, Jiaheng Liu, Liqun Yang, Linzheng Chai, Jiaqi Bai, Junran Peng, Xiaorong Hu, Chao Chen, Dongfeng Zhang, Xu Shi, Tieqiao Zheng, Liangfan Zheng, Bo Zhang, Ke Xu, Zhoujun Li
However, there is a lack of specialized LLMs for IT operations.
no code implementations • 15 Sep 2023 • Xianjie Wu, Jian Yang, Tongliang Li, Di Liang, Shiwei Zhang, Yiyang Du, Zhoujun Li
To fully Unleash the potential of evidence, we propose a framework to effectively incorporate Evidence in knowledge-Intensive Dialogue Generation (u-EIDG).
no code implementations • 12 Sep 2023 • Qianliang Wu, Yaqing Ding, Lei Luo, Shuo Gu, Chuanwei Zhou, Jin Xie, Jian Yang
These high-order features are then propagated to dense points and utilized by a Sinkhorn matching module to identify key correspondences for successful registration.
1 code implementation • 12 Sep 2023 • Haibo Chen, Lei Zhao, Jun Li, Jian Yang
To address this issue, we imitate the drawing process of humans and propose a Two-Stage Statistics-Aware Transformation (TSSAT) module, which first builds the global style foundation by aligning the global statistics of content and style features and then further enriches local style details by swapping the local statistics (instead of local features) in a patch-wise manner, significantly improving the stylization effects.
no code implementations • 7 Sep 2023 • Zehua Ren, Yongheng Sun, Miaomiao Wang, Yuying Feng, Xianjun Li, Chao Jin, Jian Yang, Chunfeng Lian, Fan Wang
In this paper, we propose to leverage the idea of counterfactual reasoning coupled with the auxiliary task of brain tissue segmentation to learn fine-grained positional and morphological representations of PWMLs for accurate localization and segmentation.
no code implementations • 1 Sep 2023 • Shiqi Yang, Yaxing Wang, Joost Van de Weijer, Luis Herranz, Shangling Jui, Jian Yang
We capture this intrinsic structure by defining local affinity of the target data, and encourage label consistency among data with high local affinity.
no code implementations • 1 Sep 2023 • Zhiqiang Yan, Xiang Li, Le Hui, Zhenyu Zhang, Jun Li, Jian Yang
To tackle these challenges, we explore a repetitive design in our image guided network to gradually and sufficiently recover depth values.
no code implementations • 19 Aug 2023 • Kun Wang, Zhiqiang Yan, Huang Tian, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang
Neural Radiance Fields (NeRF) have shown promise in generating realistic novel views from sparse scene images.
no code implementations • 17 Aug 2023 • Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li
A multi-view contrastive learning framework is introduced to encompass semantic contrasts between source, codeswitched, and target sentences, as well as contrasts among token-to-token relations.
no code implementations • 16 Aug 2023 • Binhui Liu, Xin Liu, Anbo Dai, Zhiyong Zeng, Dan Wang, Zhen Cui, Jian Yang
In particular, the designed two diffusion streams, video content and motion branches, could not only run separately in their private spaces for producing personalized video variations as well as content, but also be well-aligned between the content and motion domains through leveraging our designed cross-transformer interaction module, which would benefit the smoothness of generated videos.
2 code implementations • 12 Aug 2023 • Tongliang Li, Zixiang Wang, Linzheng Chai, Jian Yang, Jiaqi Bai, Yuwei Yin, Jiaheng Liu, Hongcheng Guo, Liqun Yang, Hebboul Zine el-abidine, Zhoujun Li
Cross-lingual open information extraction aims to extract structured information from raw text across multiple languages.
1 code implementation • 3 Aug 2023 • Fu Lin, Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Zitong Wang, Haonan Gong
Then, two competing student models trained by normal and abnormal graphs respectively fit graph representations of the teacher model in terms of node-level and graph-level representation perspectives.
2 code implementations • ICCV 2023 • Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang
Our focus lies primarily on birds, a popular subject in 3D reconstruction, for which no existing single-view 3D transfer methods have been developed. The method we propose seeks to generate a 3D mesh shape and texture of a bird from two single-view images.
1 code implementation • 22 Jul 2023 • Yuwei Yin, Yazheng Yang, Jian Yang, Qi Liu
To tackle these issues, we propose FinPT and FinBench: the former is a novel approach for financial risk prediction that conduct Profile Tuning on large pretrained foundation models, and the latter is a set of high-quality datasets on financial risks such as default, fraud, and churn.
1 code implementation • 27 Jun 2023 • Jiaqi Bai, Zhao Yan, Jian Yang, Xinnian Liang, Hongcheng Guo, Zhoujun Li
We propose Knowledgeable Prefix Tuning (KnowPrefix-Tuning), a two-stage tuning framework, bypassing the retrieval process in a knowledge-grounded conversation system by injecting prior knowledge into the lightweight knowledge prefix.
no code implementations • 26 Jun 2023 • Zhiqiang Yan, Yupeng Zheng, Chongyi Li, Jun Li, Jian Yang
Depth completion is the task of recovering dense depth maps from sparse ones, usually with the help of color images.
1 code implementation • 13 Jun 2023 • Lingfeng Wen, Xuan Tang, Mingjie Ouyang, Xiangxiang Shen, Jian Yang, Daxin Zhu, Mingsong Chen, Xian Wei
In order to simultaneously utilize the data generation capabilities of diffusion models and the ability of hyperbolic embeddings to extract latent hierarchical distributions, we propose a novel graph generation method called, Hyperbolic Graph Diffusion Model (HGDM), which consists of an auto-encoder to encode nodes into successive hyperbolic embeddings, and a DM that operates in the hyperbolic latent space.
no code implementations • 8 Jun 2023 • Kun Wang, Zhiqiang Yan, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang
Our key contributions are: (1) We parameterize the geometry and appearance of the object using a multi-scale global feature extractor, which avoids frequent point-wise feature retrieval and camera dependency.
1 code implementation • NeurIPS 2023 • Lingfeng Yang, Yueze Wang, Xiang Li, Xinlong Wang, Jian Yang
Previous works have suggested that incorporating visual prompts, such as colorful boxes or circles, can improve the ability of models to recognize objects of interest.
no code implementations • 29 May 2023 • Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari Nezhad, Xuyun Zhang, Shan Xue
We introduce ProcessGPT as a new technology that has the potential to enhance decision-making in data-centric and knowledge-intensive processes.
no code implementations • 29 May 2023 • Jiaqi Bai, Hongcheng Guo, Jiaheng Liu, Jian Yang, Xinnian Liang, Zhao Yan, Zhoujun Li
However, the retrieved passages are not ideal for guiding answer generation because of the discrepancy between retrieval and generation, i. e., the candidate passages are all treated equally during the retrieval procedure without considering their potential to generate a proper answer.
1 code implementation • 22 May 2023 • Zheng Li, YuXuan Li, Penghai Zhao, RenJie Song, Xiang Li, Jian Yang
Diffusion models have recently achieved astonishing performance in generating high-fidelity photo-realistic images.
no code implementations • 11 May 2023 • Linzheng Chai, Dongling Xiao, Jian Yang, Liqun Yang, Qian-Wen Zhang, Yunbo Cao, Zhoujun Li, Zhao Yan
Context-dependent Text-to-SQL aims to translate multi-turn natural language questions into SQL queries.
1 code implementation • CVPR 2023 • Yaqi Shen, Le Hui, Jin Xie, Jian Yang
In our superpoint generation module, we utilize the bidirectional flow information at the previous iteration to obtain the matching points of points and superpoint centers for soft point-to-superpoint association construction, in which the superpoints are generated for pairwise point clouds.
no code implementations • 1 May 2023 • Liang Bai, Hangjie Yuan, Tao Feng, Hong Song, Jian Yang
Furthermore, we present the NBA-IOD and Volleyball-IOD datasets as the benchmark and investigate the IOD tasks of the players systematically.
no code implementations • 26 Apr 2023 • Hongwei Liu, Jian Yang, Jianfeng Zhang, Dongheng Shao, Jielong Guo, Shaobo Li, Xuan Tang, Xian Wei
Experimental results demonstrate that GeqBevNet can extract more rotational equivariant features in the 3D object detection of the actual road scene and improve the performance of object orientation prediction.
1 code implementation • 26 Apr 2023 • Bing Wang, Xinnian Liang, Jian Yang, Hui Huang, Shuangzhi Wu, Peihao Wu, Lu Lu, Zejun Ma, Zhoujun Li
Large Language Models (LLMs) are constrained by their inability to process lengthy inputs, resulting in the loss of critical historical information.
no code implementations • 20 Apr 2023 • Jian Yang
For the resulting strong, medium, and weak stability concepts, the first is core-compatible in that the traditional core exactly contains those allocations that are associated through this strong stability concept with the all-consolidated partition consisting of only the grand coalition.
no code implementations • 20 Apr 2023 • Jian Yang
We deal with coalitional games possessing strictly positive values.
no code implementations • 16 Apr 2023 • Jianzhang Zheng, Hao Shen, Jian Yang, Xuan Tang, Mingsong Chen, Hui Yu, Jielong Guo, Xian Wei
Motivated by the important role of ID, in this paper, we propose a novel deep representation learning approach with autoencoder, which incorporates regularization of the global and local ID constraints into the reconstruction of data representations.
no code implementations • 12 Apr 2023 • Xian Wei, Muyu Wang, Shing-Ho Jonathan Lin, Zhengyu Li, Jian Yang, Arafat Al-Jawari, Xuan Tang
At first, the MGT divides point cloud data into patches with multiple scales.
1 code implementation • CVPR 2023 • Ziyue Zhu, Qiang Meng, Xiao Wang, Ke Wang, Liujiang Yan, Jian Yang
For the loss design, we propose the COMLoss to dynamically predict object-level difficulties and emphasize objects of different difficulties based on training stages.
1 code implementation • CVPR 2023 • Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann
Embedded with the inlier/outlier label, the posterior feature distribution is label-dependent and discriminative.
1 code implementation • 28 Mar 2023 • Senmao Li, Joost Van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang
A significant research effort is focused on exploiting the amazing capacities of pretrained diffusion models for the editing of images.
Ranked #7 on Text-based Image Editing on PIE-Bench
1 code implementation • CVPR 2023 • Senmao Li, Joost Van de Weijer, Yaxing Wang, Fahad Shahbaz Khan, Meiqin Liu, Jian Yang
In the second step, based on the well-trained multi-class 3D-aware GAN architecture, that preserves view-consistency, we construct a 3D-aware I2I translation system.
1 code implementation • 23 Mar 2023 • Xiang Li, Ge Wu, Lingfeng Yang, Wenhai Wang, RenJie Song, Jian Yang
The various types of elements, deposited in the training history, are a large amount of wealth for improving learning deep models.
1 code implementation • ICCV 2023 • YuXuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li
To the best of our knowledge, this is the first time that large and selective kernel mechanisms have been explored in the field of remote sensing object detection.
Ranked #1 on Semantic Segmentation on UAVid
1 code implementation • 12 Mar 2023 • Qi Zhao, Bai Yan, Taiwei Hu, Xianglong Chen, Qiqi Duan, Jian Yang, Yuhui Shi
In response, this paper proposes AutoOptLib, the first platform for accessible automated design of metaheuristic optimizers.
no code implementations • 8 Mar 2023 • Junkai Fan, Fei Guo, Jianjun Qian, Xiang Li, Jun Li, Jian Yang
In particular, we explore a non-alignment scenario that a clear reference image, unaligned with the input hazy image, is utilized to supervise the dehazing network.
1 code implementation • 21 Feb 2023 • Guoan Xu, Juncheng Li, Guangwei Gao, Huimin Lu, Jian Yang, Dong Yue
In the past decade, convolutional neural networks (CNNs) have shown prominence for semantic segmentation.
1 code implementation • 20 Feb 2023 • Zitai Qiu, Jia Wu, Jian Yang, Xing Su, Charu C. Aggarwal
This model addresses the heterogeneity of social media, and, with this graph, the information in social media can be used to capture structural information based on the properties of hyperbolic space.
no code implementations • 12 Feb 2023 • Qianliang Wu, Yaqi Shen, Haobo Jiang, Guofeng Mei, Yaqing Ding, Lei Luo, Jin Xie, Jian Yang
Point Cloud Registration is a fundamental and challenging problem in 3D computer vision.
no code implementations • 31 Jan 2023 • Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang
Second, instead of the coarse concatenation guidance, we propose a recurrent structure attention block, which iteratively utilizes the latest depth estimation and the image features to jointly select clear patterns and boundaries, aiming at providing refined guidance for accurate depth recovery.
no code implementations • 31 Jan 2023 • Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang
Specifically, our framework consists of a cross-modality flow-guided upsampling network (CFUNet) and a flow-enhanced pyramid edge attention network (PEANet).
no code implementations • 17 Jan 2023 • Jian Yang, Yuwei Yin, Shuming Ma, Liqun Yang, Hongcheng Guo, Haoyang Huang, Dongdong Zhang, Yutao Zeng, Zhoujun Li, Furu Wei
Context-aware neural machine translation aims to use the document-level context to improve translation quality.
no code implementations • 14 Jan 2023 • Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin Hancock, Pietro Liò
Traditional approaches to learning a set of graphs heavily rely on hand-crafted features, such as substructures.
no code implementations • 11 Jan 2023 • Zixiang Wang, Jian Yang, Tongliang Li, Jiaheng Liu, Ying Mo, Jiaqi Bai, Longtao He, Zhoujun Li
In this paper, we propose a two-stage multilingual training method and a joint model called Multilingual Entity and Relation Extraction framework (mERE) to mitigate language interference across languages.
no code implementations • ICCV 2023 • Le Hui, Linghua Tang, Yuchao Dai, Jin Xie, Jian Yang
Then, to generate homogeneous superpoints from the sparse LiDAR point cloud, we propose a LiDAR point grouping algorithm that simultaneously considers the similarity of point embeddings and the Euclidean distance of points in 3D space.
1 code implementation • CVPR 2023 • Yaqing Ding, Jian Yang, Viktor Larsson, Carl Olsson, Kalle Åström
One of the classical multi-view geometry problems is the so called P3P problem, where the absolute pose of a calibrated camera is determined from three 2D-to-3D correspondences.
no code implementations • CVPR 2023 • Kangkan Wang, Guofeng Zhang, Suxu Cong, Jian Yang
Previous methods capture the performance of full humans with a personalized template or recover the garments from a single frame with static human poses.
no code implementations • ICCV 2023 • Haobo Jiang, Zheng Dang, Shuo Gu, Jin Xie, Mathieu Salzmann, Jian Yang
Our method decouples the translation from the entire transformation by predicting the object center and estimating the rotation in a center-aware manner.
no code implementations • ICCV 2023 • Ziqi Gu, Chunyan Xu, Jian Yang, Zhen Cui
Further, considering that the learned knowledge in the human brain is a generalization of actual information and exists in a certain relational structure, we perform continual structure infomax learning to relieve the catastrophic forgetting problem in the continual learning process.
no code implementations • 29 Dec 2022 • Wenjie Li, Juncheng Li, Guangwei Gao, Weihong Deng, Jian Yang, Guo-Jun Qi, Chia-Wen Lin
Recently, great progress has been made in single-image super-resolution (SISR) based on deep learning technology.
no code implementations • 27 Dec 2022 • Deguang Kong, Miao Lu, Konstantin Shmakov, Jian Yang
Consensus clustering aggregates partitions in order to find a better fit by reconciling clustering results from different sources/executions.
no code implementations • 26 Dec 2022 • Deguang Kong, Konstantin Shmakov, Jian Yang
In computational advertising, a challenging problem is how to recommend the bid for advertisers to achieve the best return on investment (ROI) given budget constraint.
no code implementations • 26 Dec 2022 • Deguang Kong, Konstantin Shmakov, Jian Yang
In cost-per-click (CPC) or cost-per-impression (CPM) advertising campaigns, advertisers always run the risk of spending the budget without getting enough conversions.
1 code implementation • 21 Dec 2022 • Xing Su, Jian Yang, Jia Wu, Yuchen Zhang
In this paper, we construct a dual-layer graph (i. e., the news layer and the user layer) to extract multiple relations of news and users in social networks to derive rich information for detecting fake news.
1 code implementation • 20 Dec 2022 • Jian Yang, Shuming Ma, Li Dong, Shaohan Huang, Haoyang Huang, Yuwei Yin, Dongdong Zhang, Liqun Yang, Furu Wei, Zhoujun Li
Inspired by the idea of Generative Adversarial Networks (GANs), we propose a GAN-style model for encoder-decoder pre-training by introducing an auxiliary discriminator, unifying the ability of language understanding and generation in a single model.
1 code implementation • 16 Dec 2022 • Yimian Dai, Xiang Li, Fei Zhou, Yulei Qian, Yaohong Chen, Jian Yang
Finally, we present a new research benchmark for infrared small target detection, consisting of the SIRST-V2 dataset of real-world, high-resolution single-frame targets, the normalized contrast evaluation metric, and the DeepInfrared toolkit for detection.
1 code implementation • 2 Dec 2022 • Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang
In this paper, we propose a novel Feature Aggregation and Propagation Network (FAP-Net) for camouflaged object detection.
no code implementations • 1 Dec 2022 • Kaibing Xie, Jian Yang, Kang Qiu
There are several challenges to the research on underwater object detection with MFLS.
1 code implementation • 29 Nov 2022 • Zheng Li, Xiang Li, Lingfeng Yang, Borui Zhao, RenJie Song, Lei Luo, Jun Li, Jian Yang
In this paper, we propose a simple curriculum-based technique, termed Curriculum Temperature for Knowledge Distillation (CTKD), which controls the task difficulty level during the student's learning career through a dynamic and learnable temperature.
no code implementations • 20 Nov 2022 • Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang
Unsupervised depth completion aims to recover dense depth from the sparse one without using the ground-truth annotation.
no code implementations • 4 Nov 2022 • Yucong Lin, Jinhua Su, Yuhang Li, Yuhao Wei, Hanchao Yan, Saining Zhang, Jiaan Luo, Danni Ai, Hong Song, Jingfan Fan, Tianyu Fu, Deqiang Xiao, Feifei Wang, Jue Hou, Jian Yang
Deep learning methods have contributed substantially to the rapid advancement of medical image segmentation, the quality of which relies on the suitable design of loss functions.
no code implementations • 19 Oct 2022 • Hongcheng Guo, Jiaheng Liu, Haoyang Huang, Jian Yang, Zhoujun Li, Dongdong Zhang, Zheng Cui, Furu Wei
To this end, we first propose the Multilingual MMT task by establishing two new Multilingual MMT benchmark datasets covering seven languages.
1 code implementation • 18 Oct 2022 • Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
To bridge the gaps, this paper devises a novel Data Augmentation-based Graph Anomaly Detection (DAGAD) framework for attributed graphs, equipped with three specially designed modules: 1) an information fusion module employing graph neural network encoders to learn representations, 2) a graph data augmentation module that fertilizes the training set with generated samples, and 3) an imbalance-tailored learning module to discriminate the distributions of the minority (anomalous) and majority (normal) classes.
1 code implementation • 13 Oct 2022 • Jian Yang, Shaohan Huang, Shuming Ma, Yuwei Yin, Li Dong, Dongdong Zhang, Hongcheng Guo, Zhoujun Li, Furu Wei
Specifically, the target sequence is first translated into the source language and then tagged by a source NER model.
4 code implementations • 28 Sep 2022 • Yang shen, Xuhao Sun, Xiu-Shen Wei, Qing-Yuan Jiang, Jian Yang
In this paper, we propose Suppression-Enhancing Mask based attention and Interactive Channel transformatiON (SEMICON) to learn binary hash codes for dealing with large-scale fine-grained image retrieval tasks.
no code implementations • 27 Sep 2022 • Hui Lv, Zhen Cui, Biao Wang, Jian Yang
Anomaly identification is highly dependent on the relationship between the object and the scene, as different/same object actions in same/different scenes may lead to various degrees of normality and anomaly.
no code implementations • 23 Sep 2022 • Yanling Tian, Di Chen, Yunan Liu, Shanshan Zhang, Jian Yang
A straightforward solution is to manually assign different weights to different tasks, compensating for the diverse convergence rates.
no code implementations • 14 Sep 2022 • Haobo Jiang, Kaihao Lan, Le Hui, Guangyu Li, Jin Xie, Jian Yang
The core of Siamese feature matching is how to assign high feature similarity on the corresponding points between the template and search area for precise object localization.
no code implementations • 23 Aug 2022 • Hongcheng Guo, Yuhui Guo, Renjie Chen, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Weichao Hou, Liangfan Zheng, Bo Zhang
Experiments on five benchmarks validate the effectiveness of LogLG for detecting anomalies on unlabeled log data and demonstrate that LogLG, as the state-of-the-art weakly supervised method, achieves significant performance improvements compared to existing methods.
1 code implementation • 29 Jul 2022 • Jian Yang, Yuwei Yin, Liqun Yang, Shuming Ma, Haoyang Huang, Dongdong Zhang, Furu Wei, Zhoujun Li
Transformer structure, stacked by a sequence of encoder and decoder network layers, achieves significant development in neural machine translation.
1 code implementation • 25 Jul 2022 • Mu He, Le Hui, Yikai Bian, Jian Ren, Jin Xie, Jian Yang
In this paper, we propose a resolution adaptive self-supervised monocular depth estimation method (RA-Depth) by learning the scale invariance of the scene depth.
1 code implementation • 25 Jul 2022 • Le Hui, Lingpeng Wang, Linghua Tang, Kaihao Lan, Jin Xie, Jian Yang
Siamese network based trackers formulate 3D single object tracking as cross-correlation learning between point features of a template and a search area.
1 code implementation • 11 Jul 2022 • Jian Yang, Yuwei Yin, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Hongcheng Guo, Zhoujun Li, Furu Wei
Most translation tasks among languages belong to the zero-resource translation problem where parallel corpora are unavailable.
1 code implementation • 11 Jul 2022 • Jian Yang, Yuwei Yin, Shuming Ma, Dongdong Zhang, Zhoujun Li, Furu Wei
Nonetheless, multilingual training is plagued by language interference degeneration in shared parameters because of the negative interference among different translation directions, especially on high-resource languages.
no code implementations • 8 Jul 2022 • Venus Haghighi, Behnaz Soltani, Adnan Mahmood, Quan Z. Sheng, Jian Yang
Anomaly detection in attributed networks has received a considerable attention in recent years due to its applications in a wide range of domains such as finance, network security, and medicine.
1 code implementation • 6 Jul 2022 • Wenjie Li, Juncheng Li, Guangwei Gao, Jiantao Zhou, Jian Yang, Guo-Jun Qi
Recently, Transformer-based methods have shown impressive performance in single image super-resolution (SISR) tasks due to the ability of global feature extraction.
no code implementations • 27 Jun 2022 • Chuang Zhang, Li Shen, Jian Yang, Chen Gong
To exploit this effect, the model prediction-based methods have been widely adopted, which aim to exploit the outputs of DNNs in the early stage of learning to correct noisy labels.
no code implementations • 31 May 2022 • Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal
To frame this survey, we propose a systematic taxonomy covering GLNNs upon deep neural networks, graph neural networks, and graph pooling.
1 code implementation • 20 May 2022 • Xiang Li, Wenhai Wang, Lingfeng Yang, Jian Yang
Masked AutoEncoder (MAE) has recently led the trends of visual self-supervision area by an elegant asymmetric encoder-decoder design, which significantly optimizes both the pre-training efficiency and fine-tuning accuracy.
Ranked #37 on Object Detection on COCO minival
1 code implementation • CVPR 2022 • Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele
The main challenge for this task is to achieve high-quality manual annotations on a large amount of training data.
no code implementations • 11 May 2022 • Wentao Yu, Sheng Wan, Guangyu Li, Jian Yang, Chen Gong
To enhance the feature representation ability, in this paper, a GCN model with contrastive learning is proposed to explore the supervision signals contained in both spectral information and spatial relations, which is termed Contrastive Graph Convolutional Network (ConGCN), for HSI classification.
no code implementations • 6 May 2022 • Shuo Gu, Suling Yao, Jian Yang, Hui Kong
Instead of segmenting the moving objects directly, the network conducts single-scan-based semantic segmentation and multiple-scan-based moving object segmentation in turn.
no code implementations • 24 Apr 2022 • Yutong Qu, Wei Emma Zhang, Jian Yang, Lingfei Wu, Jia Wu
Knowledge-aware methods have boosted a range of natural language processing applications over the last decades.
1 code implementation • 19 Apr 2022 • Guangwei Gao, Zixiang Xu, Juncheng Li, Jian Yang, Tieyong Zeng, Guo-Jun Qi
Then, we design an efficient Feature Refinement Module (FRM) to enhance the encoded features.
no code implementations • 5 Apr 2022 • Qianru Zhou, Rongzhen Li, Lei Xu, Arumugam Nallanathan, Jian Yang, Anmin Fu
With the ever increasing of new intrusions, intrusion detection task rely on Artificial Intelligence more and more.
no code implementations • 28 Mar 2022 • Jianjun Qian, Shumin Zhu, Chaoyu Zhao, Jian Yang, Wai Keung Wong
To this end, some deep convolutional neural networks (CNNs) have been developed to learn discriminative feature by designing properly margin-based losses, which perform well on easy samples but fail on hard samples.
1 code implementation • CVPR 2022 • Jinchao Yang, Fei Guo, Shuo Chen, Jun Li, Jian Yang
Given a source product, a target product, and an art style image, our method produces a neural warping field that warps the source shape to imitate the geometric style of the target and a neural texture transformation network that transfers the artistic style to the warped source product.
1 code implementation • 22 Mar 2022 • Haobo Jiang, Jin Xie, Jian Yang
Finally, we use the maximum value in the second set of estimators to clip the action value of the chosen action in the first set of estimators and the clipped value is used for approximating the maximum expected action value.
no code implementations • 18 Mar 2022 • Zhiqiang Yan, Xiang Li, Kun Wang, Zhenyu Zhang, Jun Li, Jian Yang
To deal with the PDC task, we train a deep network that takes both depth and image as inputs for the dense panoramic depth recovery.
1 code implementation • 14 Mar 2022 • Lingfeng Yang, Xiang Li, Borui Zhao, RenJie Song, Jian Yang
In semantic segmentation, RM also surpasses the baseline and CutMix by 1. 9 and 1. 1 mIoU points under UperNet on ADE20K, respectively.
1 code implementation • CVPR 2022 • Lingfeng Yang, Xiang Li, RenJie Song, Borui Zhao, Juntian Tao, Shihao Zhou, Jiajun Liang, Jian Yang
Therefore, it is helpful to leverage additional information, e. g., the locations and dates for data shooting, which can be easily accessible but rarely exploited.
1 code implementation • 23 Feb 2022 • Yaqi Shen, Le Hui, Haobo Jiang, Jin Xie, Jian Yang
In this paper, we propose a neighborhood consensus based reliable inlier evaluation method for robust unsupervised point cloud registration.
1 code implementation • IJCAI 2022 • Yu-Yan Xu, Yang shen, Xiu-Shen Wei, Jian Yang
The task of webly-supervised fne-grained recognition is to boost recognition accuracy of classifying subordinate categories (e. g., different bird species)by utilizing freely available but noisy web data. As the label noises signifcantly hurt the network training, it is desirable to distinguish and eliminate noisy images.
no code implementations • COLING 2022 • Juncheng Wan, Jian Yang, Shuming Ma, Dongdong Zhang, Weinan Zhang, Yong Yu, Zhoujun Li
While end-to-end neural machine translation (NMT) has achieved impressive progress, noisy input usually leads models to become fragile and unstable.
no code implementations • 5 Jan 2022 • Xian Wei, Xihao Wang, Hai Lan, JiaMing Lei, Yanhui Huang, Hui Yu, Jian Yang
Self-attention shows outstanding competence in capturing long-range relationships while enhancing performance on vision tasks, such as image classification and image captioning.
no code implementations • 5 Jan 2022 • Xu Zhang, Jian Yang, Haoyang Huang, Shuming Ma, Dongdong Zhang, Jinlong Li, Furu Wei
Existing document-level neural machine translation (NMT) models have sufficiently explored different context settings to provide guidance for target generation.
no code implementations • CVPR 2022 • Hanyu Xuan, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda
Humans can easily recognize where and how the sound is produced via watching a scene and listening to corresponding audio cues.
1 code implementation • CVPR 2022 • Ziqiang Xu, Chunyan Xu, Zhen Cui, Xiangwei Zheng, Jian Yang
The classic active contour model raises a great promising solution to polygon-based object extraction with the progress of deep learning recently.
no code implementations • CVPR 2022 • Yaqing Ding, Daniel Barath, Jian Yang, Zuzana Kukelova
In this paper, we propose a new minimal and a non-minimal solver for estimating the relative camera pose together with the unknown focal length of the second camera.
no code implementations • 31 Dec 2021 • Hongcheng Guo, Xingyu Lin, Jian Yang, Yi Zhuang, Jiaqi Bai, Tieqiao Zheng, Bo Zhang, Zhoujun Li
Therefore, we propose a unified Transformer-based framework for log anomaly detection (\ourmethod{}), which is comprised of the pretraining and adapter-based tuning stage.
1 code implementation • NeurIPS 2021 • Xiu-Shen Wei, Yang shen, Xuhao Sun, Han-Jia Ye, Jian Yang
Specifically, based on the captured visual representations by attention, we develop an encoder-decoder structure network of a reconstruction task to unsupervisedly distill high-level attribute-specific vectors from the appearance-specific visual representations without attribute annotations.
no code implementations • NeurIPS 2021 • Yunan Liu, Shanshan Zhang, Yang Li, Jian Yang
In this setting, we embed an additional pair of “latent-latent” to reduce the domain gap between the source and different latent domains, allowing the model to adapt well on multiple target domains simultaneously.
no code implementations • NeurIPS 2021 • Zhuo Huang, Chao Xue, Bo Han, Jian Yang, Chen Gong
Universal Semi-Supervised Learning (UniSSL) aims to solve the open-set problem where both the class distribution (i. e., class set) and feature distribution (i. e., feature domain) are different between labeled dataset and unlabeled dataset.
no code implementations • 17 Nov 2021 • Xi Cheng, Jun Li, Qiang Dai, ZhenYong Fu, Jian Yang
In our SF-SIM, we propose a noise estimator which can effectively suppress the noise in the image and enable our method to work under the low light and short exposure environment, without the need for stacking multiple frames for non-local denoising.
1 code implementation • 16 Nov 2021 • Di Chen, Andreas Doering, Shanshan Zhang, Jian Yang, Juergen Gall, Bernt Schiele
Video-based person re-identification (re-ID) is an important technique in visual surveillance systems which aims to match video snippets of people captured by different cameras.
Representation Learning Video-Based Person Re-Identification
no code implementations • 11 Nov 2021 • Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge Belongie
Fine-grained image analysis (FGIA) is a longstanding and fundamental problem in computer vision and pattern recognition, and underpins a diverse set of real-world applications.
1 code implementation • NeurIPS 2021 • Le Hui, Lingpeng Wang, Mingmei Cheng, Jin Xie, Jian Yang
The Siamese shape-aware feature learning network can capture 3D shape information of the object to learn the discriminative features of the object so that the potential target from the background in sparse point clouds can be identified.
no code implementations • 6 Nov 2021 • Jiahui Fan, Beibei Wang, Miloš Hašan, Jian Yang, Ling-Qi Yan
Bidirectional reflectance distribution functions (BRDFs) are pervasively used in computer graphics to produce realistic physically-based appearance.
no code implementations • WMT (EMNLP) 2021 • Jian Yang, Shuming Ma, Haoyang Huang, Dongdong Zhang, Li Dong, Shaohan Huang, Alexandre Muzio, Saksham Singhal, Hany Hassan Awadalla, Xia Song, Furu Wei
This report describes Microsoft's machine translation systems for the WMT21 shared task on large-scale multilingual machine translation.
no code implementations • 22 Oct 2021 • Yang Yang, Hongchen Wei, HengShu Zhu, dianhai yu, Hui Xiong, Jian Yang
In detail, considering that the heterogeneous gap between modalities always leads to the supervision difficulty of using the global embedding directly, CPRC turns to transform both the raw image and corresponding generated sentence into the shared semantic space, and measure the generated sentence from two aspects: 1) Prediction consistency.
no code implementations • 1 Oct 2021 • Zheng Li, Xiang Li, Lingfeng Yang, Jian Yang, Zhigeng Pan
Knowledge distillation usually transfers the knowledge from a pre-trained cumbersome teacher network to a compact student network, which follows the classical teacher-teaching-student paradigm.
no code implementations • 1 Oct 2021 • Jian Yang, Xinyu Hu, Gang Xiao, Yulong Shen
Pre-trained language models learn informative word representations on a large-scale text corpus through self-supervised learning, which has achieved promising performance in fields of natural language processing (NLP) after fine-tuning.
1 code implementation • ICCV 2021 • Haobo Jiang, Yaqi Shen, Jin Xie, Jun Li, Jianjun Qian, Jian Yang
Based on the reward function, for each state, we then construct a fused score function to evaluate the sampled transformations, where we weight the current and future rewards of the transformations.
1 code implementation • 2 Sep 2021 • Guangwei Gao, Guoan Xu, Juncheng Li, Yi Yu, Huimin Lu, Jian Yang
Specifically, FBSNet employs a symmetrical encoder-decoder structure with two branches, semantic information branch and spatial detail branch.
no code implementations • 11 Aug 2021 • Yong Li, Yufei Sun, Zhen Cui, Shiguang Shan, Jian Yang
To mitigate racial bias and meantime preserve robust FR, we abstract face identity-related representation as a signal denoising problem and propose a progressive cross transformer (PCT) method for fair face recognition.
2 code implementations • ICCV 2021 • Kun Wang, Zhenyu Zhang, Zhiqiang Yan, Xiang Li, Baobei Xu, Jun Li, Jian Yang
Monocular depth estimation aims at predicting depth from a single image or video.
no code implementations • 5 Aug 2021 • Haobo Jiang, Jin Xie, Jianjun Qian, Jian Yang
By modeling the point cloud registration process as a Markov decision process (MDP), we develop a latent dynamic model of point clouds, consisting of a transformation network and evaluation network.
no code implementations • ACL 2021 • Jian Yang, Yuwei Yin, Shuming Ma, Haoyang Huang, Dongdong Zhang, Zhoujun Li, Furu Wei
Although multilingual neural machine translation (MNMT) enables multiple language translations, the training process is based on independent multilingual objectives.
no code implementations • 29 Jul 2021 • Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang
However, blurry guidance in the image and unclear structure in the depth still impede the performance of the image guided frameworks.
Ranked #2 on Depth Completion on KITTI Depth Completion
1 code implementation • 14 Jul 2021 • Yong Li, Lingjie Lao, Zhen Cui, Shiguang Shan, Jian Yang
To mitigate this issue, we propose the GraphJigsaw that constructs jigsaw puzzles at various stages in the classification network and solves the puzzles with the graph convolutional network (GCN) in a progressive manner.
1 code implementation • CVPR 2021 • Zhenyu Zhang, Yanhao Ge, Renwang Chen, Ying Tai, Yan Yan, Jian Yang, Chengjie Wang, Jilin Li, Feiyue Huang
Non-parametric face modeling aims to reconstruct 3D face only from images without shape assumptions.
1 code implementation • 14 Jun 2021 • Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu
In this survey, we aim to provide a systematic and comprehensive review of the contemporary deep learning techniques for graph anomaly detection.
no code implementations • 10 Jun 2021 • Yang Guo, Tarique Anwar, Jian Yang, Jia Wu
As the process should be socially and economically profitable, the task of vehicle dispatching is highly challenging, specially due to the time-varying travel demands and traffic conditions.
no code implementations • NAACL 2021 • Jian Yang, Shuming Ma, Dongdong Zhang, Juncheng Wan, Zhoujun Li, Ming Zhou
Most current neural machine translation models adopt a monotonic decoding order of either left-to-right or right-to-left.
1 code implementation • 27 May 2021 • Jian Yang, Yuhui Shi
Rather than converge to a single global optimum, the proposed method can guide the search procedure to converge to multiple "salient" solutions.
no code implementations • 27 May 2021 • Jian Yang, Yuhui Shi
Swarm intelligence optimization algorithms can be adopted in swarm robotics for target searching tasks in a 2-D or 3-D space by treating the target signal strength as fitness values.
no code implementations • 26 May 2021 • Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cecile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu
A community reveals the features and connections of its members that are different from those in other communities in a network.
no code implementations • 12 May 2021 • Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao
In this paper, we propose the Dual-Octave Network (DONet), which is capable of learning multi-scale spatial-frequency features from both the real and imaginary components of MR data, for fast parallel MR image reconstruction.
1 code implementation • 3 May 2021 • Haobo Jiang, Jin Xie, Jian Yang
Finally, we use the maximum value in the second set of estimators to clip the action value of the chosen action in the first set of estimators and the clipped value is used for approximating the maximum expected action value.
1 code implementation • 16 Apr 2021 • Mingmei Cheng, Le Hui, Jin Xie, Jian Yang
In order to reduce the number of annotated labels, we propose a semi-supervised semantic point cloud segmentation network, named SSPC-Net, where we train the semantic segmentation network by inferring the labels of unlabeled points from the few annotated 3D points.
1 code implementation • CVPR 2021 • Hui Lv, Chen Chen, Zhen Cui, Chunyan Xu, Yong Li, Jian Yang
Frame reconstruction (current or future frame) based on Auto-Encoder (AE) is a popular method for video anomaly detection.
3 code implementations • CVPR 2021 • Zongyan Han, ZhenYong Fu, Shuo Chen, Jian Yang
To tackle this issue, we propose to integrate the generation model with the embedding model, yielding a hybrid GZSL framework.
no code implementations • 25 Mar 2021 • Guangwei Gao, Yi Yu, Jian Yang, Guo-Jun Qi, Meng Yang
(i) To learn more robust and discriminative features, we desire to adaptively fuse the contextual features from different layers.
no code implementations • 25 Mar 2021 • Guangwei Gao, Lei Tang, Fei Wu, Huimin Lu, Jian Yang
In this work, we treat the mask occlusion as image noise and construct a joint and collaborative learning network, called JDSR-GAN, for the masked face super-resolution task.
no code implementations • 24 Mar 2021 • Guangwei Gao, Guoan Xu, Yi Yu, Jin Xie, Jian Yang, Dong Yue
In recent years, how to strike a good trade-off between accuracy and inference speed has become the core issue for real-time semantic segmentation applications, which plays a vital role in real-world scenarios such as autonomous driving systems and drones.
2 code implementations • NAACL 2022 • Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, Ming Zhou
Standard automatic metrics, e. g. BLEU, are not reliable for document-level MT evaluation.
no code implementations • 10 Mar 2021 • Xuran Xu, Tong Zhang, Chunyan Xu, Zhen Cui, Jian Yang
We further extend graph convolution into tensor space and propose a tensor graph convolution network to extract more discriminating features from spatial-temporal graph data.
Ranked #1 on Traffic Prediction on SZ-Taxi
1 code implementation • 14 Jan 2021 • Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong
The drastic increase of data quantity often brings the severe decrease of data quality, such as incorrect label annotations, which poses a great challenge for robustly training Deep Neural Networks (DNNs).
1 code implementation • 7 Jan 2021 • Le Hui, Mingmei Cheng, Jin Xie, Jian Yang
In this paper, we develop an efficient point cloud learning network (EPC-Net) to form a global descriptor for visual place recognition, which can obtain good performance and reduce computation memory and inference time.
1 code implementation • ICCV 2021 • Le Hui, Jia Yuan, Mingmei Cheng, Jin Xie, Xiaoya Zhang, Jian Yang
Specifically, in our clustering network, we first jointly learn a soft point-superpoint association map from the coordinate and feature spaces of point clouds, where each point is assigned to the superpoint with a learned weight.
no code implementations • ICCV 2021 • Jingshan Xu, Chuanwei Zhou, Zhen Cui, Chunyan Xu, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang
In this paper, we propose a progressive segmentation inference (PSI) framework to tackle with scribble-supervised semantic segmentation.
1 code implementation • ICCV 2021 • Le Hui, Hang Yang, Mingmei Cheng, Jin Xie, Jian Yang
In order to obtain discriminative global descriptors, we construct a pyramid VLAD module to aggregate the multi-scale feature maps of point clouds into the global descriptors.
Ranked #3 on 3D Place Recognition on Oxford RobotCar Dataset
no code implementations • ICCV 2021 • Yun Wang, Tong Zhang, Xueya Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang
Then, a Wasserstein coupled dictionary, containing multiple pairs of counterpart graph keys with each key corresponding to one modality, is constructed for further feature learning.
no code implementations • 1 Jan 2021 • Wenting Zhao, Yuan Fang, Zhen Cui, Tong Zhang, Jian Yang, Wei Liu
In this paper, we propose a simple yet effective graph deformer network (GDN) to fulfill anisotropic convolution filtering on graphs, analogous to the standard convolution operation on images.
no code implementations • 31 Dec 2020 • Shuming Ma, Jian Yang, Haoyang Huang, Zewen Chi, Li Dong, Dongdong Zhang, Hany Hassan Awadalla, Alexandre Muzio, Akiko Eriguchi, Saksham Singhal, Xia Song, Arul Menezes, Furu Wei
Multilingual machine translation enables a single model to translate between different languages.
no code implementations • CVPR 2021 • Yaqing Ding, Daniel Barath, Jian Yang, Hui Kong, Zuzana Kukelova
Smartphones, tablets and camera systems used, e. g., in cars and UAVs, are typically equipped with IMUs (inertial measurement units) that can measure the gravity vector accurately.
no code implementations • 27 Nov 2020 • Zhuo Huang, Ying Tai, Chengjie Wang, Jian Yang, Chen Gong
Semi-Supervised Learning (SSL) with mismatched classes deals with the problem that the classes-of-interests in the limited labeled data is only a subset of the classes in massive unlabeled data.
5 code implementations • CVPR 2021 • Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang
Such a property makes the distribution statistics of a bounding box highly correlated to its real localization quality.
Ranked #26 on Object Detection on COCO-O
no code implementations • 4 Nov 2020 • Jian Yang, Juan Yang
Therefore, to solve the problems above, we build a new model based on gating mechanism, combined with convolutional neural networks (CNN) and self-attention mechanism.
Aspect-Based Sentiment Analysis Aspect Category Sentiment Analysis +1
2 code implementations • 23 Oct 2020 • Yali Peng, Yue Cao, Shigang Liu, Jian Yang, WangMeng Zuo
To cope with this issue, this paper presents a multi-level wavelet residual network (MWRN) architecture as well as a progressive training (PTMWRN) scheme to improve image denoising performance.
no code implementations • 24 Sep 2020 • Qianliang Wu, Tong Zhang, Zhen Cui, Jian Yang
In this paper, we aim to mine the cue of user preferences in resource-limited recommendation tasks, for which purpose we specifically build a large used car transaction dataset possessing resource-limitation characteristics.
no code implementations • 19 Sep 2020 • Sheng Wan, Chen Gong, Shirui Pan, Jie Yang, Jian Yang
Nowadays, deep learning methods, especially the Graph Convolutional Network (GCN), have shown impressive performance in hyperspectral image (HSI) classification.
no code implementations • 15 Sep 2020 • Sheng Wan, Shirui Pan, Jian Yang, Chen Gong
Graph-based Semi-Supervised Learning (SSL) aims to transfer the labels of a handful of labeled data to the remaining massive unlabeled data via a graph.
1 code implementation • 7 Sep 2020 • Zezhou Sun, Banghe Wu, Cheng-Zhong Xu, Sanjay E. Sarma, Jian Yang, Hui Kong
We propose an integrated approach to active exploration by exploiting the Cartographer method as the base SLAM module for submap creation and performing efficient frontier detection in the geometrically co-aligned submaps induced by graph optimization.
no code implementations • 3 Sep 2020 • Yuan Fang, Chunyan Xu, Zhen Cui, Yuan Zong, Jian Yang
In this paper, we propose a spatial transformer point convolution (STPC) method to achieve anisotropic convolution filtering on point clouds.
1 code implementation • 31 Aug 2020 • Yang Yang, Zhen-Qiang Sun, HengShu Zhu, Yanjie Fu, Hui Xiong, Jian Yang
To this end, we propose a Class-Incremental Learning without Forgetting (CILF) framework, which aims to learn adaptive embedding for processing novel class detection and model update in a unified framework.