no code implementations • ACL 2022 • Le Zhang, Rongsheng Zhang, Xiaoxi Mao, Yongzhu Chang
In this paper, we demonstrate the QiuNiu, a Chinese lyrics generation system which is conditioned on passage-level text rather than a few attributes or keywords.
no code implementations • 22 Oct 2024 • Cheng Lei, Jie Fan, Xinran Li, Tianzhu Xiang, Ao Li, Ce Zhu, Le Zhang
To optimize operational efficiency, we introduce a learnable codebook that represents the M-LLM during inference, significantly reducing computational overhead.
1 code implementation • 22 Oct 2024 • Zekun Jiang, Wei Dai, Qu Wei, Ziyuan Qin, Kang Li, Le Zhang
Furthermore, the early warning accuracy for epilepsy seizures based on the generated EEG data reaches 0. 89.
no code implementations • 11 Oct 2024 • Siyou Li, Beining Xu, Yihao Luo, Dong Nie, Le Zhang
Automatic medical report generation (MRG), which aims to produce detailed text reports from medical images, has emerged as a critical task in this domain.
no code implementations • 9 Oct 2024 • Pengyao Qin, Arun J. Thirunavukarasu, Le Zhang
Diabetic macular edema (DME) is a severe complication of diabetes, characterized by thickening of the central portion of the retina due to accumulation of fluid.
no code implementations • 3 Oct 2024 • Zhuoning Guo, Le Zhang, HengShu Zhu, Weijia Zhang, Hui Xiong, Hao liu
Accurate and timely modeling of labor migration is crucial for various urban governance and commercial tasks, such as local policy-making and business site selection.
no code implementations • 29 Sep 2024 • Zhuoning Guo, Hao liu, Le Zhang, Qi Zhang, HengShu Zhu, Hui Xiong
To this end, in this paper, we formulate the Federated Labor Market Forecasting (FedLMF) problem and propose a Meta-personalized Convergence-aware Clustered Federated Learning (MPCAC-FL) framework to provide accurate and timely collaborative talent demand and supply prediction in a privacy-preserving way.
no code implementations • 24 Sep 2024 • Lucas Beveridge, Le Zhang
The ensemble model was evaluated using the Dice Similarity Coefficient (DSC) and 95% Hausdorff distance (HD95) on the left & right atrium wall, right atrium cavity, and left atrium cavity.
no code implementations • 12 Sep 2024 • Le Zhang, Onat Gungor, Flavio Ponzina, Tajana Rosing
Ensemble learning is a meta-learning approach that combines the predictions of multiple learners, demonstrating improved accuracy and robustness.
1 code implementation • 11 Sep 2024 • Chenjun Li, Dian Yang, Shun Yao, Shuyue Wang, Ye Wu, Le Zhang, Qiannuo Li, Kang Ik Kevin Cho, Johanna Seitz-Holland, Lipeng Ning, Jon Haitz Legarreta, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell, Nir A. Sochen, Ofer Pasternak, Fan Zhang
The key innovation of EVENet is the design of an evidential deep learning framework to quantify predictive uncertainty at each voxel during a single inference.
no code implementations • 11 Sep 2024 • Rongfeng Lu, Hangyu Chen, Zunjie Zhu, Yuhang Qin, Ming Lu, Le Zhang, Chenggang Yan, Anke Xue
In this work, we propose ThermalGaussian, the first thermal 3DGS approach capable of rendering high-quality images in RGB and thermal modalities.
no code implementations • 8 Sep 2024 • Zhiwei Lin, Zhe Liu, Yongtao Wang, Le Zhang, Ce Zhu
Secondly, the CAMF module utilizes a deformable attention mechanism to align radar and camera BEV features and adopts channel and spatial fusion layers to fuse them.
Ranked #1 on 3D Object Detection on nuscenes Camera-Radar
no code implementations • 25 Aug 2024 • Minghao Liu, Le Zhang, Yingjie Tian, Xiaochao Qu, Luoqi Liu, Ting Liu
Recent advances in text-to-image diffusion models have demonstrated impressive capabilities in image quality.
no code implementations • 23 Jul 2024 • Rabiul Awal, Saba Ahmadi, Le Zhang, Aishwarya Agrawal
Fine-grained understanding of objects, attributes, and relationships between objects is crucial for visual-language models (VLMs).
1 code implementation • 19 Jul 2024 • Cheng Gong, Yao Chen, Qiuyang Luo, Ye Lu, Tao Li, Yuzhi Zhang, Yufei Sun, Le Zhang
Experimental results on Cifar100 and ImageNet datasets exhibit that \methodname~provides up to a \textbf{50. 00\%} reduction in training time and attains up to a \textbf{6. 94\%} enhancement in accuracy when contrasted with baseline methods across diverse models and tasks.
1 code implementation • 19 Jul 2024 • Zhengyuan Xie, Haiquan Lu, Jia-Wen Xiao, Enguang Wang, Le Zhang, Xialei Liu
In this paper, we propose a new classifier pre-tuning~(NeST) method applied before the formal training process, learning a transformation from old classifiers to generate new classifiers for initialization rather than directly tuning the parameters of new classifiers.
no code implementations • 5 Jul 2024 • Qian Zeng, Le Zhang, Yipeng Liu, Ce Zhu, Fan Zhang
Glaucoma is a leading cause of irreversible blindness worldwide.
no code implementations • 30 Jun 2024 • Zenglin Shi, Tong Su, Pei Liu, Yunpeng Wu, Le Zhang, Meng Wang
The primary challenge is to extract degradation representations from the input degraded images and use them to guide the model's adaptation to specific degradation types.
1 code implementation • 20 Jun 2024 • Yihong Wu, Le Zhang, Fengran Mo, Tianyu Zhu, Weizhi Ma, Jian-Yun Nie
By examining the learning dynamics and equilibrium of the contrastive loss, we offer a fresh lens to understand contrastive learning via graph theory, emphasizing its capability to capture high-order connectivity.
3 code implementations • 22 Apr 2024 • Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, sabarinathan, K Uma, A Sasithradevi, B Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S M A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor Upla, Kiran Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results.
1 code implementation • CVPR 2024 • Zhiwei Lin, Zhe Liu, Zhongyu Xia, Xinhao Wang, Yongtao Wang, Shengxiang Qi, Yang Dong, Nan Dong, Le Zhang, Ce Zhu
In the dual-stream radar backbone, a point-based encoder and a transformer-based encoder are proposed to extract radar features, with an injection and extraction module to facilitate communication between the two encoders.
Ranked #3 on 3D Object Detection on nuscenes Camera-Radar
no code implementations • 15 Mar 2024 • Xiaoning Liu, Ao Li, Zongwei Wu, Yapeng Du, Le Zhang, Yulun Zhang, Radu Timofte, Ce Zhu
Leveraging Transformer attention has led to great advancements in HDR deghosting.
no code implementations • 7 Mar 2024 • Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang
Graph Convolutional Networks (GCNs) have become pivotal in recommendation systems for learning user and item embeddings by leveraging the user-item interaction graph's node information and topology.
1 code implementation • 24 Feb 2024 • Zekun Jiang, Dongjie Cheng, Ziyuan Qin, Jun Gao, Qicheng Lao, Abdullaev Bakhrom Ismoilovich, Urazboev Gayrat, Yuldashov Elyorbek, Bekchanov Habibullo, Defu Tang, LinJing Wei, Kang Li, Le Zhang
This study presents a novel multimodal medical image zero-shot segmentation algorithm named the text-visual-prompt segment anything model (TV-SAM) without any manual annotations.
1 code implementation • 12 Jan 2024 • Le Zhang, Yihong Wu, Qian Yang, Jian-Yun Nie
Large Language Models (LLMs) are foundational in language technologies, particularly in information retrieval (IR).
no code implementations • 29 Dec 2023 • Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, HengShu Zhu
To address this, in this paper, we propose a novel Reliable Cognitive Diagnosis(ReliCD) framework, which can quantify the confidence of the diagnosis feedback and is flexible for different cognitive diagnostic functions.
no code implementations • 11 Dec 2023 • Qirui Yang, Qihua Cheng, Huanjing Yue, Le Zhang, Yihao Liu, Jingyu Yang
To solve this problem, we propose a single-stage network empowered by Feature Domain Adaptation (FDA) to decouple the denoising and color mapping tasks in raw LLIE.
1 code implementation • CVPR 2024 • Ping Chen, Xingpeng Zhang, Chengtao Zhou, Dichao Fan, Peng Tu, Le Zhang, Yanlin Qian
Convolution neural network is successful in pervasive vision tasks, including label distribution learning, which usually takes the form of learning an injection from the non-linear visual features to the well-defined labels.
no code implementations • 25 Nov 2023 • Haolin He, Ce Zhu, Le Zhang, Yipeng Liu, Xiao Xu, Yuqian Chen, Leo Zekelman, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell, Fan Zhang
The amygdala plays a vital role in emotional processing and exhibits structural diversity that necessitates fine-scale parcellation for a comprehensive understanding of its anatomico-functional correlations.
1 code implementation • 20 Oct 2023 • Le Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie, Aishwarya Agrawal
To enable LLMs to tackle the task in a zero-shot manner, we introduce MoqaGPT, a straightforward and flexible framework.
no code implementations • 8 Oct 2023 • Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen
Semantic segmentation tasks naturally require high-resolution information for pixel-wise segmentation and global context information for class prediction.
no code implementations • 21 Sep 2023 • Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas Nichols, Bartlomiej W. Papiez
In this work, we propose to formulate MTL as a multi/bi-level optimization problem, and therefore force features to learn from each task in a cooperative approach.
1 code implementation • 31 Aug 2023 • Weijia Zhang, Le Zhang, Jindong Han, Hao liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong
Accurate traffic forecasting is crucial for the development of Intelligent Transportation Systems (ITS), playing a pivotal role in modern urban traffic management.
no code implementations • 16 Aug 2023 • Zhiyu Ma, Chen Li, Tianming Du, Le Zhang, Dechao Tang, Deguo Ma, Shanchuan Huang, Yan Liu, Yihao Sun, Zhihao Chen, Jin Yuan, Qianqing Nie, Marcin Grzegorzek, Hongzan Sun
In the comparative study of semantic segmentation of abdominal adipose tissue, the segmentation results of adipose tissue by each model show different structural characteristics.
no code implementations • 9 Aug 2023 • Yongzhu Chang, Rongsheng Zhang, Lin Jiang, Qihang Chen, Le Zhang, Jiashu Pu
In this paper, we introduce \textbf{\textit{Sudowoodo}}, a Chinese lyrics imitation system that can generate new lyrics based on the text of source lyrics.
1 code implementation • ICCV 2023 • Ao Li, Le Zhang, Yun Liu, Ce Zhu
Our proposed solution, the cross-refinement adaptive feature modulation transformer (CRAFT), integrates the strengths of both convolutional and transformer structures.
Ranked #36 on Image Super-Resolution on Set14 - 4x upscaling
1 code implementation • Signal Processing: Image Communication 2023 • Le Zhang, Yao Lu, Tong Li, Guangming Lu
Thus, the security and quality of stego and revealed secret images still have much room for promotion, especially for large-capacity image steganography.
no code implementations • 3 Jul 2023 • Chuan Qin, Le Zhang, Yihang Cheng, Rui Zha, Dazhong Shen, Qi Zhang, Xi Chen, Ying Sun, Chen Zhu, HengShu Zhu, Hui Xiong
To this end, we present an up-to-date and comprehensive survey on AI technologies used for talent analytics in the field of human resource management.
1 code implementation • 16 Jun 2023 • Rabiul Awal, Le Zhang, Aishwarya Agrawal
In summary, our research sheds light on the intricacies of prompting strategies in VLMs for VQA, emphasizing the synergistic use of captions, templates, and pre-processing to enhance model efficacy.
2 code implementations • CVPR 2024 • Le Zhang, Rabiul Awal, Aishwarya Agrawal
However, the compositional reasoning abilities of existing VLMs remains subpar.
1 code implementation • CVPR 2024 • Boyuan Sun, YuQi Yang, Le Zhang, Ming-Ming Cheng, Qibin Hou
Motivated by these, we aim to improve the use efficiency of unlabeled data by designing two novel label propagation strategies.
2 code implementations • 2 Jun 2023 • Le Zhang, Jiayang Chen, Tao Shen, Yu Li, Siqi Sun
The field of protein folding research has been greatly advanced by deep learning methods, with AlphaFold2 (AF2) demonstrating exceptional performance and atomic-level precision.
1 code implementation • 13 May 2023 • Tian Gao, Cheng-Zhong Xu, Le Zhang, Hui Kong
Compared with the full-precision one, the model with the binarization method replaces complex tensor multiplication with simple bit-wise binary operations and represents full-precision model parameters and activations with only 1-bit ones, which potentially solves the problem of model size and computational complexity, respectively.
1 code implementation • Neural Computing and Applications 2023 • Le Zhang, Yao Lu, Jinxing Li, Fanglin Chen, Guangming Lu, David Zhang
Image hiding secures information security in multimedia communication.
1 code implementation • 19 Dec 2022 • Fanxing Liu, Cheng Zeng, Le Zhang, Yingjie Zhou, Qing Mu, Yanru Zhang, Ling Zhang, Ce Zhu
We would like to answer the following questions: (1)How is the performance of time series anomaly detection algorithms when meeting federated learning?
no code implementations • 14 Dec 2022 • Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu
Ensemble learning serves as a straightforward way to improve the performance of almost any machine learning algorithm.
1 code implementation • Pattern Recognition and Computer Vision 2022 • Le Zhang, Qi Feng, Yao Lu, Chang Liu, and Guangming Lu
Attention mechanisms can effectively improve the performance of the mobile networks with a limited computational complexity cost.
no code implementations • 18 Aug 2022 • Yu-Huan Wu, Da Zhang, Le Zhang, Xin Zhan, Dengxin Dai, Yun Liu, Ming-Ming Cheng
Current efficient LiDAR-based detection frameworks are lacking in exploiting object relations, which naturally present in both spatial and temporal manners.
no code implementations • 10 Aug 2022 • Xin Jin, Wu Zhou, Xinghui Zhou, Shuai Cui, Le Zhang, Jianwen Lv, Shu Zhao
In this paper, we propose a new task of aesthetic language assessment: aesthetic visual question and answering (AVQA) of images.
no code implementations • 9 Aug 2022 • Xin Jin, Shu Zhao, Le Zhang, Xin Zhao, Qiang Deng, Chaoen Xiao
In recent years, image generation has made great strides in improving the quality of images, producing high-fidelity ones.
1 code implementation • 21 Jul 2022 • Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc van Gool
The essence of video semantic segmentation (VSS) is how to leverage temporal information for prediction.
Ranked #4 on Video Semantic Segmentation on VSPW
1 code implementation • IEEE Transactions on Neural Networks and Learning Systems 2022 • Yao Lu, Le Zhang, Xiaofei Yang, and Yicong Zhou
First, the spectrum feature learned by HNN is insufficient and limited because the number of DCT filters is much smaller than that of feature maps.
1 code implementation • NAACL 2022 • Le Zhang, Zichao Yang, Diyi Yang
Data augmentation is an effective approach to tackle over-fitting.
1 code implementation • NAACL 2022 • Jingfeng Yang, Le Zhang, Diyi Yang
Although sequence-to-sequence models often achieve good performance in semantic parsing for i. i. d.
1 code implementation • ACL 2022 • WeiJie Chen, Yongzhu Chang, Rongsheng Zhang, Jiashu Pu, Guandan Chen, Le Zhang, Yadong Xi, Yijiang Chen, Chang Su
In this paper, we probe simile knowledge from PLMs to solve the SI and SG tasks in the unified framework of simile triple completion for the first time.
2 code implementations • NeurIPS 2021 • Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
Moreover, the positional features are embedded through a novel cyclic positional encoding (CPE) method to allow Transformer to effectively capture the circularity and symmetry of VRP solutions (i. e., cyclic sequences).
no code implementations • 29 Sep 2021 • Cuong Manh Nguyen, Le Zhang, Arun Raja, Xun Xu, Balagopal Unnikrishnan, Kangkang Lu, Chuan-Sheng Foo
Label collection is costly in many applications, which poses the need for label-efficient learning.
1 code implementation • 17 Aug 2021 • Yu Qiu, Yun Liu, Le Zhang, Jing Xu
The asymmetric bilateral encoder has a transformer path and a lightweight CNN path, where the two paths communicate at each encoder stage to learn complementary global contexts and local spatial details, respectively.
no code implementations • 4 Aug 2021 • Lingdong Kong, Prakhar Ganesh, Tan Wang, Junhao Liu, Le Zhang, Yao Chen
We hope that the scale, diversity, and quality of our dataset can benefit researchers in this area and beyond.
3 code implementations • 6 Jun 2021 • Yun Liu, Yu-Huan Wu, Guolei Sun, Le Zhang, Ajad Chhatkuli, Luc van Gool
This paper tackles the high computational/space complexity associated with Multi-Head Self-Attention (MHSA) in vanilla vision transformers.
2 code implementations • 25 May 2021 • Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian Reid
We propose a monocular depth estimator SC-Depth, which requires only unlabelled videos for training and enables the scale-consistent prediction at inference time.
1 code implementation • 24 Dec 2020 • Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng, Bo Ren
In this paper, we tap into this gap and show that enhancing high- level features is essential for SOD as well.
1 code implementation • NeurIPS 2020 • Le Zhang, Ryutaro Tanno, MouCheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel Alexander
In all cases, our method outperforms competing methods and relevant baselines particularly in cases where the number of annotations is small and the amount of disagreement is large.
1 code implementation • 1 Sep 2020 • Yu-Chao Gu, Le Zhang, Yun Liu, Shao-Ping Lu, Ming-Ming Cheng
Recent generative methods formulate GZSL as a missing data problem, which mainly adopts GANs or VAEs to generate visual features for unseen classes.
1 code implementation • 28 Aug 2020 • Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng
Much of the recent efforts on salient object detection (SOD) have been devoted to producing accurate saliency maps without being aware of their instance labels.
3 code implementations • 31 Jul 2020 • Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander
Recent years have seen increasing use of supervised learning methods for segmentation tasks.
no code implementations • LREC 2020 • Le Zhang, Damianos Karakos, William Hartmann, Manaj Srivastava, Lee Tarlin, David Akodes, Sanjay Krishna Gouda, Numra Bathool, Lingjun Zhao, Zhuolin Jiang, Richard Schwartz, John Makhoul
In this paper, we describe a cross-lingual information retrieval (CLIR) system that, given a query in English, and a set of audio and text documents in a foreign language, can return a scored list of relevant documents, and present findings in a summary form in English.
no code implementations • 24 Dec 2019 • Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen
Specifically, with a diagnostic analysis, we show that the recurrent structure may not be effective to learn temporal dependencies than what we expected and implicitly yields an orderless representation.
no code implementations • 27 Nov 2019 • Xin-Yu Zhang, Le Zhang, Zao-Yi Zheng, Yun Liu, Jia-Wang Bian, Ming-Ming Cheng
The effectiveness of the triplet loss heavily relies on the triplet selection, in which a common practice is to first sample intra-class patches (positives) from the dataset for batch construction and then mine in-batch negatives to form triplets.
2 code implementations • 18 Oct 2019 • Houwang Zhang, Chong Wu, Le Zhang, Hanying Zheng
Then according to the statistical features of noise, we propose a novel centroid update approach to enhance the robustness of clustering-based superpixel methods.
no code implementations • 26 Aug 2019 • Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid
According to this, we propose three high-quality matching systems and a Coarse-to-Fine RANSAC estimator.
no code implementations • 24 Aug 2019 • Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng
Nonlinear regression has been extensively employed in many computer vision problems (e. g., crowd counting, age estimation, affective computing).
no code implementations • 7 May 2019 • Xiaoman Zhang, Ziyuan Zhao, Cen Chen, Songyou Peng, Min Wu, Zhongyao Cheng, Singee Teo, Le Zhang, Zeng Zeng
In this study, we applied powerful deep neural network and explored a process in the forecast of skeletal bone age with the specifically combine joints images to increase the performance accuracy compared with the whole hand images.
1 code implementation • 12 Mar 2019 • Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng
Segmentation stands at the forefront of many high-level vision tasks.
no code implementations • 10 Jan 2019 • Rahman Attar, Marco Pereanez, Ali Gooya, Xenia Alba, Le Zhang, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
We present a fully automatic, high throughput image parsing workflow for the analysis of cardiac MR images, and test its performance on the UK Biobank (UKB) cardiac dataset.
no code implementations • 28 Dec 2018 • Yun Liu, Yu Qiu, Le Zhang, Jia-Wang Bian, Guang-Yu Nie, Ming-Ming Cheng
In this paper, we observe that the contexts of a natural image can be well expressed by a high-to-low self-learning of side-output convolutional features.
1 code implementation • 21 Nov 2018 • Le Zhang, Songyou Peng, Stefan Winkler
Apparent personality and emotion analysis are both central to affective computing.
no code implementations • 6 Nov 2018 • Le Zhang, Ali Gooya, Marco Pereanez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
Full coverage of the left ventricle (LV), from base to apex, is a basic criterion for CMR image quality and necessary for accurate measurement of cardiac volume and functional assessment.
no code implementations • 7 Aug 2018 • Jia-Wang Bian, Ruihan Yang, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid, WenHai Wu
This leads to a critical absence in this field that there is no standard datasets and evaluation metrics to evaluate different feature matchers fairly.
1 code implementation • CVPR 2018 • Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng
Deep convolutional networks (ConvNets) have achieved unprecedented performances on many computer vision tasks.
Ranked #9 on Crowd Counting on WorldExpo’10
no code implementations • 19 May 2018 • Yun Liu, Yujun Shi, Jia-Wang Bian, Le Zhang, Ming-Ming Cheng, Jiashi Feng
Collecting sufficient annotated data is very expensive in many applications, especially for pixel-level prediction tasks such as semantic segmentation.
1 code implementation • 2 May 2018 • Songyou Peng, Le Zhang, Yutong Ban, Meng Fang, Stefan Winkler
In this paper, we comprehensively describe the methodology of our submissions to the One-Minute Gradual-Emotion Behavior Challenge 2018.
1 code implementation • 9 Apr 2018 • Yun Liu, Ming-Ming Cheng, Deng-Ping Fan, Le Zhang, Jiawang Bian, DaCheng Tao
Semantic edge detection (SED), which aims at jointly extracting edges as well as their category information, has far-reaching applications in domains such as semantic segmentation, object proposal generation, and object recognition.
3 code implementations • 12 Sep 2017 • Chen Wang, Le Zhang, Lihua Xie, Junsong Yuan
Cross-correlator plays a significant role in many visual perception tasks, such as object detection and tracking.
no code implementations • 12 Sep 2017 • Jia-Wang Bian, Le Zhang, Yun Liu, Wen-Yan Lin, Ming-Ming Cheng, Ian D. Reid
To this end, we present a uniform benchmark with novel evaluation metrics and a large-scale dataset for evaluating the overall performance of image matching methods.
1 code implementation • CVPR 2017 • Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja, Pierre Moulin
Unlike conventional orthogonal decision trees that use a single feature and heuristic measures to obtain a split at each node, we propose to use a more powerful proximal SVM to obtain oblique hyperplanes to capture the geometric structure of the data better.