1 code implementation • 24 May 2024 • Song Wang, Jiawei Yu, Wentong Li, Hao Shi, Kailun Yang, Junbo Chen, Jianke Zhu
Semantic scene completion aims to infer the 3D geometric structures with semantic classes from camera or LiDAR, which provide essential occupancy information in autonomous driving.
no code implementations • 17 May 2024 • Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
In this survey paper, we explore three critical aspects vital for enhancing safety in Graph ML: reliability, generalizability, and confidentiality.
no code implementations • 9 May 2024 • Siyu Li, Jiacheng Lin, Hao Shi, Jiaming Zhang, Song Wang, You Yao, Zhiyong Li, Kailun Yang
In this paper, we revisit the temporal fusion of vectorized HD maps, focusing on temporal instance consistency and temporal map consistency learning.
1 code implementation • 18 Apr 2024 • Song Wang, Jiawei Yu, Wentong Li, Wenyu Liu, Xiaolu Liu, Junbo Chen, Jianke Zhu
Furthermore, the voxels in the boundary region are more challenging to differentiate than those in the interior.
1 code implementation • 1 Apr 2024 • Xiaolu Liu, Song Wang, Wentong Li, Ruizi Yang, Junbo Chen, Jianke Zhu
Currently, high-definition (HD) map construction leans towards a lightweight online generation tendency, which aims to preserve timely and reliable road scene information.
1 code implementation • 28 Mar 2024 • Song Wang, Yiliang Zhou, Ziqiang Han, Cui Tao, Yunyu Xiao, Ying Ding, Joydeep Ghosh, Yifan Peng
Data accuracy is essential for scientific research and policy development.
no code implementations • 13 Mar 2024 • Hao Shi, Song Wang, Jiaming Zhang, Xiaoting Yin, Zhongdao Wang, Zhijian Zhao, Guangming Wang, Jianke Zhu, Kailun Yang, Kaiwei Wang
Vision-based occupancy prediction, also known as 3D Semantic Scene Completion (SSC), presents a significant challenge in computer vision.
no code implementations • 2 Mar 2024 • Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li
In contrast, in this work, we propose a novel self-conditioned graph generation framework designed to explicitly model graph distributions and employ these distributions to guide the generation process.
1 code implementation • 21 Feb 2024 • Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu
Furthermore, the paper includes an in-depth taxonomy of methodologies employing LLMs for data annotation, a comprehensive review of learning strategies for models incorporating LLM-generated annotations, and a detailed discussion on primary challenges and limitations associated with using LLMs for data annotation.
no code implementations • 6 Feb 2024 • Canyu Zhang, YouBao Tang, Ning Zhang, Ruei-Sung Lin, Mei Han, Jing Xiao, Song Wang
To make the generated dance motion smoother, a local information decoder is built for local motion enhancement.
1 code implementation • 31 Jan 2024 • Wei Feng, Feifan Wang, Ruize Han, Zekun Qian, Song Wang
Multi-view multi-human association and tracking (MvMHAT), is a new but important problem for multi-person scene video surveillance, aiming to track a group of people over time in each view, as well as to identify the same person across different views at the same time, which is different from previous MOT and multi-camera MOT tasks only considering the over-time human tracking.
no code implementations • 31 Jan 2024 • Song Wang, Chen Wei, Kexin Lou, Dongfeng Gu, Quanying Liu
Here, we present a novel method which utilizes the Brain Geometric-informed Basis Functions (GBFs) as priors to enhance EEG/MEG source imaging.
no code implementations • 30 Jan 2024 • Mithila Sivakumar, Alvine B. Belle, Kimya Khakzad Shahandashti, Oluwafemi Odu, Hadi Hemmati, Segla Kpodjedo, Song Wang, Opeyemi O. Adesina
In such contexts, detecting assurance deficits, relying on patterns to improve the structure of assurance cases, improving existing assurance case notations, and (semi-)automating the generation of assurance cases are key to develop compelling assurance cases and foster consumer acceptance.
no code implementations • 17 Dec 2023 • Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Ming Zhen, Jiang
We also investigate the typical data extraction procedures and collection approaches employed by the existing approaches.
1 code implementation • 8 Nov 2023 • Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu
Pretrained language models (PLMs) have made significant strides in various natural language processing tasks.
no code implementations • 2 Nov 2023 • Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li
Adopting a two-stage paradigm of pretraining followed by fine-tuning, Pretrained Language Models (PLMs) have achieved substantial advancements in the field of natural language processing.
no code implementations • 24 Oct 2023 • Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
Afterward, we provide an innovative taxonomy of KME techniques based on how the new knowledge is introduced into pre-trained LLMs, and investigate existing KME strategies while analyzing key insights, advantages, and limitations of methods from each category.
no code implementations • 24 Oct 2023 • Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen-Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more relatively rare conditions.
1 code implementation • NeurIPS 2023 • Wentong Li, Yuqian Yuan, Song Wang, Wenyu Liu, Dongqi Tang, Jian Liu, Jianke Zhu, Lei Zhang
In this work, we formulate the affinity modeling as an affinity propagation process, and propose a local and a global pairwise affinity terms to generate accurate soft pseudo labels.
no code implementations • 13 Oct 2023 • Canyu Zhang, Xiaoguang Li, Qing Guo, Song Wang
To this end, we propose a framework with two modules: (1) building a semantic implicit representation (SIR) for a corrupted image whose large regions miss.
no code implementations • 11 Oct 2023 • Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang
We apply two different correlation analyses between these two different sets of metrics.
no code implementations • 8 Oct 2023 • Qiuhua Huang, Renke Huang, Tianzhixi Yin, Sohom Datta, Xueqing Sun, Jason Hou, Jie Tan, Wenhao Yu, YuAn Liu, Xinya Li, Bruce Palmer, Ang Li, Xinda Ke, Marianna Vaiman, Song Wang, Yousu Chen
Our developed methods and platform based on the convergence framework have been applied to a large (more than 3000 buses) Texas power system, and tested with 56000 scenarios.
no code implementations • 29 Sep 2023 • Song Wang, Zhu Wang, Can Li, Xiaojuan Qi, Hayden Kwok-Hay So
In comparison to conventional RGB cameras, the superior temporal resolution of event cameras allows them to capture rich information between frames, making them prime candidates for object tracking.
no code implementations • 28 Aug 2023 • Song Wang, Jing Ma, Lu Cheng, Jundong Li
These auxiliary sets contain several labeled training samples that can enhance the model performance regarding fairness in meta-test tasks, thereby allowing for the transfer of learned useful fairness-oriented knowledge to meta-test tasks.
no code implementations • 15 Aug 2023 • Jiho Shin, Sepehr Hashtroudi, Hadi Hemmati, Song Wang
We compare our approach with (a) CodeT5 fine-tuned on the test generation without DA, (b) the A3Test tool, and (c) GPT-4, on 5 projects from the Defects4j dataset.
1 code implementation • ICCV 2023 • Wentong Li, Yuqian Yuan, Song Wang, Jianke Zhu, Jianshu Li, Jian Liu, Lei Zhang
Weakly-supervised image segmentation has recently attracted increasing research attentions, aiming to avoid the expensive pixel-wise labeling.
1 code implementation • ICCV 2023 • Rabab Abdelfattah, Qing Guo, Xiaoguang Li, XiaoFeng Wang, Song Wang
Using the aggregated similarity scores as the initial pseudo labels at the training stage, we propose an optimization framework to train the parameters of the classification network and refine pseudo labels for unobserved labels.
no code implementations • 26 Jul 2023 • Canyu Zhang, Qing Guo, Xiaoguang Li, Renjie Wan, Hongkai Yu, Ivor Tsang, Song Wang
Given the coordinates of a pixel we want to reconstruct, we first collect its neighboring pixels in the input image and extract their detail-enhanced semantic embeddings, unmask-attentional semantic embeddings, importance values, and spatial distances to the desired pixel.
1 code implementation • 27 Jun 2023 • Song Wang, Zhen Tan, Huan Liu, Jundong Li
First, we propose to enhance the intra-class generalizability by involving a contrastive two-step optimization in each episode to explicitly align node embeddings in the same classes.
no code implementations • 20 Jun 2023 • Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng
Background: The predictive Intensive Care Unit (ICU) scoring system plays an important role in ICU management because it predicts important outcomes, especially mortality.
1 code implementation • 17 Jun 2023 • Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
In this way, the server can exploit the computational power of all clients and train the model on a larger set of data samples among all clients.
no code implementations • 22 May 2023 • Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Chenguang Zhu, Michael Zeng
We hypothesize that there is a hidden query for each summary sentence in a generic summarization annotation, and we utilize a large-scale pretrained language model to recover it.
no code implementations • 18 May 2023 • Xiaoguang Li, Qing Guo, Pingping Cai, Wei Feng, Ivor Tsang, Song Wang
State-of-the-art shadow removal methods train deep neural networks on collected shadow & shadow-free image pairs, which are desired to complete two distinct tasks via shared weights, i. e., data restoration for shadow regions and identical mapping for non-shadow regions.
no code implementations • 9 May 2023 • Lesly Miculicich, Yujia Xie, Song Wang, Pengcheng He
Many applications of text generation such as summarization benefit from accurately controlling the text length.
1 code implementation • CVPR 2023 • Song Wang, Wentong Li, Wenyu Liu, Xiaolu Liu, Jianke Zhu
To mitigate the defects caused by lacking semantic cues in LiDAR data, we present an online Camera-to-LiDAR distillation scheme to facilitate the semantic learning from image to point cloud.
1 code implementation • 28 Mar 2023 • Canyu Zhang, Zhenyao Wu, Xinyi Wu, Ziyu Zhao, Song Wang
While a few-shot learning method was proposed recently to address these two problems, it suffers from high computational complexity caused by graph construction and inability to learn fine-grained relationships among points due to the use of pooling operations.
Few-shot 3D Point Cloud Semantic Segmentation Few-Shot Learning +4
1 code implementation • AAAI 2023 • Pingping Cai, Deja Scott, Xiaoguang Li, Song Wang
Point cloud shape completion, which aims to reconstruct the missing regions of the incomplete point clouds with plausible shapes, is an ill-posed and challenging task that benefits many downstream 3D applications.
Ranked #1 on Point Cloud Completion on ShapeNet
1 code implementation • 14 Mar 2023 • Pingping Cai, Zhenyao Wu, Xinyi Wu, Song Wang
Designing a point cloud upsampler, which aims to generate a clean and dense point cloud given a sparse point representation, is a fundamental and challenging problem in computer vision.
Ranked #3 on Point Cloud Completion on ShapeNet
no code implementations • 10 Feb 2023 • Lan Fu, Zhiyuan Liu, Jinlong Li, Jeff Simmons, Hongkai Yu, Song Wang
Accurate detection of large-scale, elliptical-shape fibers, including their parameters of center, orientation and major/minor axes, on the 2D cross-sectioned image slices is very important for characterizing the underlying cylinder 3D structures in microscopic material images.
1 code implementation • ICCV 2023 • Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor Tsang, Song Wang
In this work, we find that pretraining shadow removal networks on the image inpainting dataset can reduce the shadow remnants significantly: a naive encoder-decoder network gets competitive restoration quality w. r. t.
1 code implementation • 1 Feb 2023 • Yinghui Xing, Song Wang, Shizhou Zhang, Guoqiang Liang, Xiuwei Zhang, Yanning Zhang
Most of the available multispectral pedestrian detectors are based on non-end-to-end detectors, while in this paper, we propose MultiSpectral pedestrian DEtection TRansformer (MS-DETR), an end-to-end multispectral pedestrian detector, which extends DETR into the field of multi-modal detection.
1 code implementation • 6 Jan 2023 • Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
Recent few-shot node classification methods typically learn from classes with abundant labeled nodes (i. e., meta-training classes) and then generalize to classes with limited labeled nodes (i. e., meta-test classes).
1 code implementation • 19 Dec 2022 • Zekun Qian, Ruize Han, Wei Feng, Feifan Wang, Song Wang
We tackle a new problem of multi-view camera and subject registration in the bird's eye view (BEV) without pre-given camera calibration.
1 code implementation • 11 Dec 2022 • Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu
More recently, inspired by the development of graph self-supervised learning, transferring pretrained node embeddings for few-shot node classification could be a promising alternative to meta-learning but remains unexposed.
no code implementations • 27 Nov 2022 • Yuhang Lu, Xinyi Wu, Zhenyao Wu, Song Wang
Few-shot segmentation (FSS) expects models trained on base classes to work on novel classes with the help of a few support images.
1 code implementation • 25 Nov 2022 • Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
In this paper, we study a novel problem of interpreting GNN unfairness through attributing it to the influence of training nodes.
1 code implementation • 21 Nov 2022 • Likai Wang, Xiangqun Zhang, Ruize Han, Jialin Yang, Xiaoyu Li, Wei Feng, Song Wang
In this paper, we focus on the relatively new yet practical problem of clothes-changing video-based person re-identification (CCVReID), which is less studied.
no code implementations • 21 Nov 2022 • Likai Wang, Ruize Han, Wei Feng, Song Wang
In this paper, we study a new problem of unsupervised domain adaptive gait recognition (UDA-GR), that learns a gait identifier with supervised labels from the indoor scenes (source domain), and is applied to the outdoor wild scenes (target domain).
1 code implementation • ECCV 2022 • Jin Wan, Hui Yin, Zhenyao Wu, Xinyi Wu, Yanting Liu, Song Wang
To address this problem, we propose a style-guided shadow removal network (SG-ShadowNet) for better image-style consistency after shadow removal.
1 code implementation • 21 Oct 2022 • Song Wang, Chen Chen, Jundong Li
Therefore, to adaptively learn node representations across meta-tasks, we propose a novel framework that learns a task-specific structure for each meta-task.
no code implementations • 20 Oct 2022 • Rabab Abdelfattah, Xin Zhang, Mostafa M. Fouda, XiaoFeng Wang, Song Wang
To effectively address partial-label classification, this paper proposes an end-to-end Generic Game-theoretic Network (G2NetPL) for partial-label learning, which can be applied to most partial-label settings, including a very challenging, but annotation-efficient case where only a subset of the training images are labeled, each with only one positive label, while the rest of the training images remain unlabeled.
Multi-Label Classification Multi-Label Image Classification +2
no code implementations • 23 Sep 2022 • Cunling Bian, Wei Feng, Fanbo Meng, Song Wang
Skeleton-based human action recognition has been drawing more interest recently due to its low sensitivity to appearance changes and the accessibility of more skeleton data.
1 code implementation • 14 Sep 2022 • Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang
Then, we treat the comment of the retrieved code as the initial draft and input it with the code and keywords into DECOM to start the iterative deliberation process.
1 code implementation • 29 Aug 2022 • Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang
Imaging exams, such as chest radiography, will yield a small set of common findings and a much larger set of uncommon findings.
Ranked #1 on Long-tail Learning on MIMIC-CXR-LT
no code implementations • 22 Aug 2022 • Rabab Abdelfattah, Xin Zhang, Zhenyao Wu, Xinyi Wu, XiaoFeng Wang, Song Wang
A special case is to annotate only one positive label in each training image.
Multi-Label Classification Multi-Label Image Classification +1
1 code implementation • 21 Aug 2022 • Pengcheng He, Baolin Peng, Liyang Lu, Song Wang, Jie Mei, Yang Liu, Ruochen Xu, Hany Hassan Awadalla, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang
Z-Code++ creates new state of the art on 9 out of 13 text summarization tasks across 5 languages.
no code implementations • 29 Jul 2022 • Yinghui Xing, Shuyuan Yang, Song Wang, Yan Zhang, Yanning Zhang
Most of the available deep learning-based pan-sharpening methods sharpen the multispectral images through a one-step scheme, which strongly depends on the reconstruction ability of the network.
no code implementations • 4 Jul 2022 • Jin Wan, Hui Yin, Zhenyao Wu, Xinyi Wu, Zhihao Liu, Song Wang
Aiming to restore the original intensity of shadow regions in an image and make them compatible with the remaining non-shadow regions without a trace, shadow removal is a very challenging problem that benefits many downstream image/video-related tasks.
2 code implementations • 28 Jun 2022 • Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen
Generate-then-rank is a widely used mechanism for text generation, where a generator produces multiple text candidates and a ranker chooses the best one among the text candidates.
1 code implementation • 24 Jun 2022 • Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
The low transparency on how the structure of the input network influences the bias in GNN outcome largely limits the safe adoption of GNNs in various decision-critical scenarios.
1 code implementation • 23 Jun 2022 • Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
Then we transfer such knowledge to the classes with limited labeled nodes via our proposed task-adaptive modules.
1 code implementation • 5 May 2022 • Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
Specifically, these works propose to accumulate meta-knowledge across diverse meta-training tasks, and then generalize such meta-knowledge to the target task with a disjoint label set.
no code implementations • NAACL (ACL) 2022 • Abedelkadir Asi, Song Wang, Roy Eisenstadt, Dean Geckt, Yarin Kuper, Yi Mao, Royi Ronen
Summarizing sales calls is a routine task performed manually by salespeople.
1 code implementation • ACL 2022 • Wei Chen, Yeyun Gong, Song Wang, Bolun Yao, Weizhen Qi, Zhongyu Wei, Xiaowu Hu, Bartuer Zhou, Yi Mao, Weizhu Chen, Biao Cheng, Nan Duan
Dialog response generation in open domain is an important research topic where the main challenge is to generate relevant and diverse responses.
2 code implementations • 21 Apr 2022 • Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li
Recently, algorithmic fairness has been extensively studied in graph-based applications.
no code implementations • 14 Apr 2022 • Rabab Abdelfattah, XiaoFeng Wang, Song Wang
Accurate segmentation of power lines in various aerial images is very important for UAV flight safety.
1 code implementation • 19 Mar 2022 • Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng
Analyzing radiology reports is a time-consuming and error-prone task, which raises the need for an efficient automated radiology report analysis system to alleviate the workloads of radiologists and encourage precise diagnosis.
1 code implementation • CVPR 2022 • Xiaoguang Li, Qing Guo, Di Lin, Ping Li, Wei Feng, Song Wang
As a result, the final method takes the advantage of effective semantic & image-level filling for high-fidelity inpainting.
1 code implementation • 8 Mar 2022 • Ruize Han, Haomin Yan, Jiacheng Li, Songmiao Wang, Wei Feng, Song Wang
To obtain a more comprehensive activity understanding for a crowded scene, in this paper, we propose a new problem of panoramic human activity recognition (PAR), which aims to simultaneous achieve the individual action, social group activity, and global activity recognition.
1 code implementation • 8 Mar 2022 • Jiacheng Li, Ruize Han, Haomin Yan, Zekun Qian, Wei Feng, Song Wang
The core of human group detection is the human social relation representation and division. In this paper, we propose a new two-stage multi-head framework for human group detection.
1 code implementation • 27 Feb 2022 • Song Wang, Jianke Zhu, Ruixiang Zhang
LiDAR sensor is essential to the perception system in autonomous vehicles and intelligent robots.
Ranked #18 on 3D Semantic Segmentation on SemanticKITTI
no code implementations • 11 Jan 2022 • Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng
In this work, we propose to mine and represent the associations among medical findings in an informative knowledge graph and incorporate this prior knowledge with radiology report generation to help improve the quality of generated reports.
1 code implementation • 7 Jan 2022 • Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Di Lin, Wei Feng, Song Wang
First, we propose the uncertainty-aware cascaded predictive filtering (UC-PFilt) that can identify the difficulties of reconstructing clean pixels via predicted kernels and remove the residual rain traces effectively.
1 code implementation • CVPR 2022 • Ruize Han, Yiyang Gan, Jiacheng Li, Feifan Wang, Wei Feng, Song Wang
In this paper, we develop a new approach that can simultaneously handle three tasks: i) localizing the side-view camera in the top view; ii) estimating the view direction of the side-view camera; iii) detecting and associating the same subjects on the ground across the complementary views.
1 code implementation • 9 Dec 2021 • Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang
In this paper, we tackle the problem of one-shot unsupervised domain adaptation (OSUDA) for semantic segmentation where the segmentors only see one unlabeled target image during training.
One-shot Unsupervised Domain Adaptation Semantic Segmentation +2
no code implementations • 27 Nov 2021 • Lan Fu, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang
The observation of this work motivates us to design a novel detection-aware shadow removal framework, which empowers shadow removal to achieve higher restoration quality and enhance the shadow robustness of deployed facial landmark detectors.
1 code implementation • 22 Nov 2021 • Seyed Mohammad Hassan Erfani, Zhenyao Wu, Xinyi Wu, Song Wang, Erfan Goharian
We claim that ATLANTIS is the largest waterbody image dataset for semantic segmentation providing a wide range of water and water-related classes and it will benefit researchers of both computer vision and water resources engineering.
Ranked #1 on Semantic Segmentation on ATLANTIS
1 code implementation • EMNLP 2021 • Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou
Short text classification is a fundamental task in natural language processing.
1 code implementation • ICCV 2021 • Yujun Zhang, Lei Zhu, Wei Feng, Huazhu Fu, Mingqian Wang, Qingxia Li, Cheng Li, Song Wang
Lane detection plays a key role in autonomous driving.
no code implementations • 15 Aug 2021 • Song Wang, Yuting He, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Jean-Louis Dillenseger, Jean-Louis Coatrieux, Shuo Li, Guanyu Yang
We propose a novel weakly supervised learning framework, Cycle Prototype Network, for 3D renal compartment segmentation.
1 code implementation • 9 Jul 2021 • Qing Guo, Xiaoguang Li, Felix Juefei-Xu, Hongkai Yu, Yang Liu, Song Wang
In this paper, for the first time, we formulate image inpainting as a mix of two problems, predictive filtering and deep generation.
no code implementations • CVPR 2021 • Hao Guo, Song Wang
While re-balanced data sampling can improve the performance on tail classes, it may also hurt the performance on head classes in training due to label co-occurrence.
Ranked #4 on Long-tail Learning on COCO-MLT
no code implementations • 18 May 2021 • Qing Guo, Felix Juefei-Xu, Changqing Zhou, Wei Feng, Yang Liu, Song Wang
In both cases, Sparta leads to CNNs with higher robustness than the vanilla ReLU, verifying the flexibility and versatility of the proposed method.
no code implementations • 11 May 2021 • Lan Fu, Hongkai Yu, Felix Juefei-Xu, Jinlong Li, Qing Guo, Song Wang
As one of the state-of-the-art perception approaches, detecting the interested objects in each frame of video surveillance is widely desired by ITS.
1 code implementation • CVPR 2021 • Xinyi Wu, Zhenyao Wu, Hao Guo, Lili Ju, Song Wang
We further design a re-weighting strategy to handle the inaccuracy caused by misalignment between day-night image pairs and wrong predictions of daytime images, as well as boost the prediction accuracy of small objects.
Ranked #6 on Semantic Segmentation on Nighttime Driving
1 code implementation • CVPR 2021 • Zhihao Liu, Hui Yin, Xinyi Wu, Zhenyao Wu, Yang Mi, Song Wang
Shadow removal is a computer-vision task that aims to restore the image content in shadow regions.
2 code implementations • CVPR 2021 • Lan Fu, Changqing Zhou, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang
We conduct extensive experiments on the ISTD, ISTD+, and SRD datasets to validate our method's effectiveness and show better performance in shadow regions and comparable performance in non-shadow regions over the state-of-the-art methods.
no code implementations • 14 Dec 2020 • Fan Lyu, Shuai Wang, Wei Feng, Zihan Ye, Fuyuan Hu, Song Wang
Rehearsal, seeking to remind the model by storing old knowledge in lifelong learning, is one of the most effective ways to mitigate catastrophic forgetting, i. e., biased forgetting of previous knowledge when moving to new tasks.
1 code implementation • 2 Dec 2020 • Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, ChiHung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao
In this work, we present Contour Transformer Network (CTN), a one-shot anatomy segmentation method with a naturally built-in human-in-the-loop mechanism.
no code implementations • 25 Nov 2020 • Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed Tewfik, George Shih, Ying Ding, Yifan Peng
After a number of iterations and with the help of radiomic features, our framework can converge to more accurate image regions.
1 code implementation • 20 Oct 2020 • Rabab Abdelfattah, XiaoFeng Wang, Song Wang
Accurate detection and segmentation of transmission towers~(TTs) and power lines~(PLs) from aerial images plays a key role in protecting power-grid security and low-altitude UAV safety.
1 code implementation • CVPR 2022 • Ruijun Gao, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Huazhu Fu, Wei Feng, Yang Liu, Song Wang
In this paper, we address this problem from the perspective of adversarial attacks and identify a novel task: adversarial co-saliency attack.
no code implementations • 8 Jul 2020 • Han Li, Yanzhu Hu, Song Wang, Zhen Meng
When Gaussian white noise was mixed with the known signal, the resulting PSER followed a doubly non-central beta distribution.
no code implementations • 6 Jul 2020 • Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chi-Hung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao
Accurate segmentation of critical anatomical structures is at the core of medical image analysis.
1 code implementation • 28 Jun 2020 • Zhihao Liu, Hui Yin, Yang Mi, Mengyang Pu, Song Wang
In this paper, we present a new Lightness-Guided Shadow Removal Network (LG-ShadowNet) for shadow removal by training on unpaired data.
no code implementations • 24 Mar 2020 • Zhongguo Li, Fan Lyu, Wei Feng, Song Wang
Paired egocentric interaction recognition (PEIR) is the task to collaboratively recognize the interactions between two persons with the videos in their corresponding views.
no code implementations • 18 Mar 2020 • Shuai Wang, Fan Lyu, Wei Feng, Song Wang
In this paper, we argue that for REC the referring expression and the target region are semantically correlated and subject, location and relationship consistency exist between vision and language. On top of this, we propose a novel approach called MutAtt to construct mutual guidance between vision and language, which treat vision and language equally thus yield compact information matching.
no code implementations • 25 Feb 2020 • Xien Liu, Song Wang, Xiao Zhang, Xinxin You, Ji Wu, Dejing Dou
In this study, we propose a label-guided learning framework LguidedLearn for text representation and classification.
no code implementations • 14 Dec 2019 • Hao Guo, Brian Dolhansky, Eric Hsin, Phong Dinh, Cristian Canton Ferrer, Song Wang
Due to respectively limited training data, different entities addressing the same vision task based on certain sensitive images may not train a robust deep network.
1 code implementation • 17 Nov 2019 • Qin Zou, Zheng Zhang, Ling Cao, Long Chen, Song Wang
Given semantic annotations such as class labels and pairwise similarities of the training data, hashing methods can learn and generate effective and compact binary codes.
no code implementations • 25 Oct 2019 • Yuanhao Yue, Qin Zou, Hongkai Yu, Qian Wang, Zhongyuan Wang, Song Wang
Co-saliency detection within a single image is a common vision problem that has received little attention and has not yet been well addressed.
no code implementations • 25 Sep 2019 • Xiao Zhang, Song Wang, Dejing Dou, Xien Liu, Thien Huu Nguyen, Ji Wu
Contextual representation models like BERT have achieved state-of-the-art performance on a diverse range of NLP tasks.
no code implementations • 21 Aug 2019 • Qing Guo, Wei Feng, Zhihao Chen, Ruijun Gao, Liang Wan, Song Wang
In this paper, we address these two problems by constructing a Blurred Video Tracking benchmark, which contains a variety of videos with different levels of motion blurs, as well as ground truth tracking results for evaluating trackers.
no code implementations • 26 Jul 2019 • Ruize Han, Yujun Zhang, Wei Feng, Chenxing Gong, Xiao-Yu Zhang, Jiewen Zhao, Liang Wan, Song Wang
However, for such collaborative analysis, the first step is to associate people, referred to as subjects in this paper, across these two views.
no code implementations • NAACL 2019 • Yichao Lu, Manisha Srivastava, Jared Kramer, Heba Elfardy, Andrea Kahn, Song Wang, Vikas Bhardwaj
To test our models, a customer service agent handles live contacts and at each turn we present the top four model responses and allow the agent to select (and optionally edit) one of the suggestions or to type their own.
no code implementations • 19 Nov 2018 • Ziqi Zhou, Zheng Wang, Huchuan Lu, Song Wang, Meijun Sun
In this paper, based on the fact that salient areas in videos are relatively small and concentrated, we propose a \textbf{key salient object re-augmentation method (KSORA) using top-down semantic knowledge and bottom-up feature guidance} to improve detection accuracy in video scenes.
no code implementations • 22 Oct 2018 • Qingquan Li, Qin Zou, De Ma, Qian Wang, Song Wang
Cultural heritage is the asset of all the peoples of the world.
no code implementations • ECCV 2018 • Yanting Pei, Yaping Huang, Qi Zou, Yuhang Lu, Song Wang
Typically, the goal of image dehazing is to produce clearer images from which human vision can better identify the object and structural details present in the images.
no code implementations • 12 Oct 2018 • Yanting Pei, Yaping Huang, Qi Zou, Hao Zang, Xingyuan Zhang, Song Wang
In this paper, we empirically study this problem for four kinds of degraded images -- hazy images, underwater images, motion-blurred images and fish-eye images.
no code implementations • 10 Sep 2018 • Jianfeng Zhang, Liezhuo Zhang, Yuankai Teng, Xiao-Ping Zhang, Song Wang, Lili Ju
Binary image segmentation plays an important role in computer vision and has been widely used in many applications such as image and video editing, object extraction, and photo composition.
no code implementations • 25 May 2018 • Hongkai Yu, Dazhou Guo, Zhipeng Yan, Wei Liu, Jeff Simmons, Craig P. Przybyla, Song Wang
Constructing 3D structures from serial section data is a long standing problem in microscopy.
no code implementations • 17 May 2018 • Jun Zhou, Yuhang Lu, Kang Zheng, Karen Smith, Colin Wilder, Song Wang
The goal of this paper is to address the challenging problem of automatically identifying the underlying full design of curve patterns from such a sherd.
1 code implementation • 8 Mar 2018 • Zheng Zhang, Qin Zou, Yuewei Lin, Long Chen, Song Wang
In this paper, a new deep hashing method is proposed for multi-label image retrieval by re-defining the pairwise similarity into an instance similarity, where the instance similarity is quantified into a percentage based on the normalized semantic labels.
no code implementations • 12 Feb 2018 • Xiaochuan Fan, Hao Guo, Kang Zheng, Wei Feng, Song Wang
In particular, we design a Mask Weight Network (MWN) to learn a set of masks and then apply channel-wise masking operations to ROI feature map, followed by a global pooling and a cheap fully-connected layer.
no code implementations • 7 Nov 2017 • Yuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Smith, Colin Wilder, Song Wang
Motivated by the important archaeological application of exploring cultural heritage objects, in this paper we study the challenging problem of automatically segmenting curve structures that are very weakly stamped or carved on an object surface in the form of a highly noisy depth map.
no code implementations • ICCV 2017 • Qing Guo, Wei Feng, Ce Zhou, Rui Huang, Liang Wan, Song Wang
How to effectively learn temporal variation of target appearance, to exclude the interference of cluttered background, while maintaining real-time response, is an essential problem of visual object tracking.
Ranked #5 on Visual Object Tracking on OTB-2013
no code implementations • ICCV 2017 • Kang Zheng, Xiaochuan Fan, Yuewei Lin, Hao Guo, Hongkai Yu, Dazhou Guo, Song Wang
In this paper, we attempt to utilize 3D human-skeleton sequences to learn a model that can extract view-invariant motion features from optical flows in different views.
no code implementations • 12 Sep 2017 • Song Wang, Yu Jing
We introduce surrogate probability action and develop the probability surrogate action deterministic policy gradient (PSADPG) algorithm based on SAEI.
no code implementations • 10 Jul 2017 • Song Wang, Jun Sun, Satoshi Naoi
The handwritten string recognition is still a challengeable task, though the powerful deep learning tools were introduced.
no code implementations • 27 Dec 2016 • Song Wang, Li Sun, Wei Fan, Jun Sun, Satoshi Naoi, Koichi Shirahata, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike
In order to solve this problem, we proposed an automated CNN recommendation system for image classification task.
no code implementations • 31 Oct 2016 • Qin Zou, Lihao Ni, Qian Wang, Qingquan Li, Song Wang
We propose two new algorithms, namely EigenGait and TrajGait, to extract gait features from the inertial data and the RGBD (color and depth) data, respectively.
no code implementations • 26 Aug 2016 • Qin Zou, Zheng Zhang, Qian Wang, Qingquan Li, Long Chen, Song Wang
Specifically, a classification-based model is proposed to quantify the influence of different visual stimuli, in which each visual stimulus's influence is quantified by its corresponding accuracy in fashion classification.
no code implementations • 5 Aug 2016 • Jun Zhou, Haozhou Yu, Karen Smith, Colin Wilder, Hongkai Yu, Song Wang
The challenge to reconstruct and study complete designs is stymied because 1) most fragmentary cultural-heritage objects contain only a small portion of the underlying full design, 2) in the case of a stamping application, the same design may be applied multiple times with spatial overlap on one object, and 3) curve patterns detected on an object are usually incomplete and noisy.
no code implementations • CVPR 2016 • Hongkai Yu, Youjie Zhou, Jeff Simmons, Craig P. Przybyla, Yuewei Lin, Xiaochuan Fan, Yang Mi, Song Wang
In particular, the within-group association is modeled by a nonrigid 2D Thin-Plate transform and a sequence of group shrinking, group growing and group merging operations are then developed to refine the composition of each group.
no code implementations • 24 Feb 2016 • Song Wang, Dongchun Ren, Li Chen, Wei Fan, Jun Sun, Satoshi Naoi
Unlike those trials, in this paper, we focused on the basic propagation function of the artificial neural network and proposed the binarized deep neural network.
no code implementations • ICCV 2015 • Yuewei Lin, Kareem Ezzeldeen, Youjie Zhou, Xiaochuan Fan, Hongkai Yu, Hui Qian, Song Wang
Wearable cameras, such as Google Glass and Go Pro, enable video data collection over larger areas and from different views.
no code implementations • 5 Sep 2015 • Yuewei Lin, Jing Chen, Yu Cao, Youjie Zhou, Lingfeng Zhang, Yuan Yan Tang, Song Wang
By adopting a natural and widely used assumption -- "the data samples from the same class should lay on a low-dimensional subspace, even if they come from different domains", the proposed method circumvents the limitation of the global domain shift, and solves the cross-domain recognition by finding the compact joint subspaces of source and target domain.
no code implementations • 11 Jul 2015 • Hongkai Yu, Youjie Zhou, Hui Qian, Min Xian, Yuewei Lin, Dazhou Guo, Kang Zheng, Kareem Abdelfatah, Song Wang
In this paper, we develop a new LooseCut algorithm that can handle cases where the input bounding box only loosely covers the foreground object.
1 code implementation • CVPR 2015 • Xiaochuan Fan, Kang Zheng, Yuewei Lin, Song Wang
We propose a new learning-based method for estimating 2D human pose from a single image, using Dual-Source Deep Convolutional Neural Networks (DS-CNN).
no code implementations • 28 Jan 2015 • Youjie Zhou, Hongkai Yu, Song Wang
Although dense local spatial-temporal features with bag-of-features representation achieve state-of-the-art performance for action recognition, the huge feature number and feature size prevent current methods from scaling up to real size problems.
no code implementations • 9 Aug 2014 • Andrei Barbu, Alexander Bridge, Zachary Burchill, Dan Coroian, Sven Dickinson, Sanja Fidler, Aaron Michaux, Sam Mussman, Siddharth Narayanaswamy, Dhaval Salvi, Lara Schmidt, Jiangnan Shangguan, Jeffrey Mark Siskind, Jarrell Waggoner, Song Wang, Jinlian Wei, Yifan Yin, Zhiqi Zhang
We present a system that produces sentential descriptions of video: who did what to whom, and where and how they did it.
no code implementations • CVPR 2013 • Yu Cao, Daniel Barrett, Andrei Barbu, Siddharth Narayanaswamy, Haonan Yu, Aaron Michaux, Yuewei Lin, Sven Dickinson, Jeffrey Mark Siskind, Song Wang
In this paper, we propose a new method that can recognize human activities from partially observed videos in the general case.