1 code implementation • ECCV 2020 • Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li
However, most of their training data is constructed by 3D Morphable Model, whose space spanned is only a small part of the shape space.
no code implementations • RANLP 2021 • Fan Yang, Eduard Dragut, Arjun Mukherjee
Claim verification is challenging because it requires first to find textual evidence and then apply claim-evidence entailment to verify a claim.
1 code implementation • EMNLP 2021 • Qingbin Liu, Pengfei Cao, Cao Liu, Jiansong Chen, Xunliang Cai, Fan Yang, Shizhu He, Kang Liu, Jun Zhao
This paradigm is often impractical in real-world applications since online dialogue systems usually involve continually emerging new data and domains.
no code implementations • SemEval (NAACL) 2022 • Cong Chen, Jiansong Chen, Cao Liu, Fan Yang, Guanglu Wan, Jinxiong Xia
Furthermore, we leverage two data augment strategies and auxiliary tasks to improve the performance on few-label data and zero-shot cross-lingual settings.
no code implementations • EMNLP 2020 • Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou
In this paper, we introduce XGLUE, a new benchmark dataset to train large-scale cross-lingual pre-trained models using multilingual and bilingual corpora, and evaluate their performance across a diverse set of cross-lingual tasks.
1 code implementation • COLING 2022 • Yinyi Wei, Shuaipeng Liu, Jianwei Lv, Xiangyu Xi, Hailei Yan, Wei Ye, Tong Mo, Fan Yang, Guanglu Wan
Many recent sentence-level event detection efforts focus on enriching sentence semantics, e. g., via multi-task or prompt-based learning.
no code implementations • ECNLP (ACL) 2022 • Alireza Bagheri Garakani, Fan Yang, Wen-Yu Hua, Yetian Chen, Michinari Momma, Jingyuan Deng, Yan Gao, Yi Sun
Ensuring relevance quality in product search is a critical task as it impacts the customer’s ability to find intended products in the short-term as well as the general perception and trust of the e-commerce system in the long term.
no code implementations • ECNLP (ACL) 2022 • Fan Yang, Alireza Bagheri Garakani, Yifei Teng, Yan Gao, Jia Liu, Jingyuan Deng, Yi Sun
In E-commerce search, spelling correction plays an important role to find desired products for customers in processing user-typed search queries.
no code implementations • 29 Jan 2023 • Qinyu Wu, Fan Yang, Ping Zhang
As a counterpart to the (static) risk measures of generalized quantiles and motivated by Bellini et al. (2018), we propose a new kind of conditional risk measure called conditional generalized quantiles.
no code implementations • 26 Jan 2023 • Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Yuqing Yang, Lingxiao Ma, Fan Yang, Lili Qiu, Mao Yang, Lidong Zhou
The property enables Spider (1) to extract dynamic sparsity patterns of tensors that are only known at runtime with little overhead; and (2) to transform the dynamic sparse computation into an equivalent dense computation which has been extremely optimized on commodity accelerators.
no code implementations • 21 Jan 2023 • Zhiqi Lin, Youshan Miao, Guodong Liu, Xiaoxiang Shi, Quanlu Zhang, Fan Yang, Saeed Maleki, Yi Zhu, Xu Cao, Cheng Li, Mao Yang, Lintao Zhang, Lidong Zhou
SuperScaler is a system that facilitates the design and generation of highly flexible parallelization plans.
no code implementations • 12 Jan 2023 • Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu
The role of data in building AI systems has recently been significantly magnified by the emerging concept of data-centric AI (DCAI), which advocates a fundamental shift from model advancements to ensuring data quality and reliability.
1 code implementation • 24 Dec 2022 • Rui Ma, Mengxi Guo, Yi Hou, Fan Yang, Yuan Li, Huizhu Jia, Xiaodong Xie
The CIN is composed of the invertible part to achieve high imperceptibility and the non-invertible part to strengthen the robustness against strong noise attacks.
1 code implementation • 3 Dec 2022 • Yu Qi, Fan Yang, Yousong Zhu, Yufei Liu, Liwei Wu, Rui Zhao, Wei Li
By introducing stochastic prediction and the parallel encoder-decoder, SAIM significantly improve the performance of autoregressive image modeling.
1 code implementation • IEEE Transactions on Multimedia 2020 • Fan Yang, Yang Wu, Zheng Wang, Xiang Li, Sakriani Sakti, Satoshi Nakamura
Therefore, previous works pre-train their models on rich-labeled photo retrieval data (i. e., source domain) and then fine-tune them on the limited-labeled sketch-to-photo retrieval data (i. e., target domain).
Ranked #1 on
Image Retrieval
on PKU-Reid
1 code implementation • 25 Nov 2022 • Xiangyu Xi, Jianwei Lv, Shuaipeng Liu, Wei Ye, Fan Yang, Guanglu Wan
As a pioneering exploration that expands event detection to the scenarios involving informal and heterogeneous texts, we propose a new large-scale Chinese event detection dataset based on user reviews, text conversations, and phone conversations in a leading e-commerce platform for food service.
no code implementations • 24 Nov 2022 • Fan Yang, Shigeyuki Odashima, Shoichi Masui, Shan Jiang
To address this issue, our C-BIoU tracker adds buffers to expand the matching space of detections and tracks, which mitigates the effect of irregular motions in two aspects: one is to directly match identical but non-overlapping detections and tracks in adjacent frames, and the other is to compensate for the motion estimation bias in the matching space.
Ranked #3 on
Multi-Object Tracking
on DanceTrack
no code implementations • 24 Nov 2022 • Fan Yang, Shigeyuki Odashima, Shoichi Masui, Shan Jiang
This is our second-place solution for CVPR 2022 SoccerNet Tracking Challenge.
no code implementations • 24 Nov 2022 • Fan Yang, Shigeyuki Odashima, Shoichi Masui, Shan Jiang
This is our 2nd-place solution for the ECCV 2022 Multiple People Tracking in Group Dance Challenge.
no code implementations • 19 Nov 2022 • Jiaxin Deng, Dong Shen, Haojie Pan, Xiangyu Wu, Ximan Liu, Gaofeng Meng, Fan Yang, Size Li, Ruiji Fu, Zhongyuan Wang
Furthermore, based on this dataset, we propose an end-to-end model that jointly optimizes the video understanding objective with knowledge graph embedding, which can not only better inject factual knowledge into video understanding but also generate effective multi-modal entity embedding for KG.
1 code implementation • 14 Nov 2022 • Zelong Zeng, Fan Yang, Hong Liu, Shin'ichi Satoh
However, this type of method normally ignores the crucial knowledge hidden in the data (e. g., intra-class information variation), which is harmful to the generalization of the trained model.
no code implementations • 11 Nov 2022 • Changhao Liu, Fan Yang, Maokun Li, Shenheng Xu
Recently, artificial neural network empowered inverse design for metasurfaces has been developed that can design on-demand meta-atoms with diverse shapes and high performance, where the design process based on artificial intelligence is fast and automatic.
no code implementations • 7 Nov 2022 • Yujiao Wu, Yaxiong Wang, Xiaoshui Huang, Fan Yang, Sai Ho Ling, Steven Weidong Su
This paper focuses on the task of survival time analysis for lung cancer.
no code implementations • 4 Nov 2022 • Zhengyong Huang, Sijuan Zou, Guoshuai Wang, Zixiang Chen, Hao Shen, HaiYan Wang, Na Zhang, Lu Zhang, Fan Yang, Haining Wangg, Dong Liang, Tianye Niu, Xiaohua Zhuc, Zhanli Hua
In this paper, we propose a deep learning segmentation method based on multimodal positron emission tomography-computed tomography (PET-CT), which combines the high sensitivity of PET and the precise anatomical information of CT. We design an improved spatial attention network(ISA-Net) to increase the accuracy of PET or CT in detecting tumors, which uses multi-scale convolution operation to extract feature information and can highlight the tumor region location information and suppress the non-tumor region location information.
no code implementations • 3 Nov 2022 • Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Jungong Han, Kai Ni, Guiguang Ding
To pick up the ground plane prior for M3OD, we propose a Ground Plane Enhanced Network (GPENet) which resolves both issues at one go.
no code implementations • 31 Oct 2022 • Bingyang Wen, K. P. Subbalakshmi, Fan Yang
Attention mechanisms have recently demonstrated impressive performance on a range of NLP tasks, and attention scores are often used as a proxy for model explainability.
no code implementations • 31 Oct 2022 • Jianqing Fan, Yingying Fan, Jinchi Lv, Fan Yang
To address these practical challenges, in this paper we propose a SIMPLE method with random coupling (SIMPLE-RC) for testing the non-sharp null hypothesis that a group of given nodes share similar (not necessarily identical) membership profiles under weaker signals.
1 code implementation • 17 Oct 2022 • Mancheng Meng, Ziyan Wu, Terrence Chen, Xiran Cai, Xiang Sean Zhou, Fan Yang, Dinggang Shen
We categorize scene history information into two types: historical group trajectory and individual-surroundings interaction.
6 code implementations • 5 Oct 2022 • Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc Cuong Pham, Ralph Ewerth, Ran Song, RenGang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El-Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, YaQian Zhao, Yi Yu, YingYing Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
no code implementations • 28 Sep 2022 • Amelia Glaese, Nat McAleese, Maja Trębacz, John Aslanides, Vlad Firoiu, Timo Ewalds, Maribeth Rauh, Laura Weidinger, Martin Chadwick, Phoebe Thacker, Lucy Campbell-Gillingham, Jonathan Uesato, Po-Sen Huang, Ramona Comanescu, Fan Yang, Abigail See, Sumanth Dathathri, Rory Greig, Charlie Chen, Doug Fritz, Jaume Sanchez Elias, Richard Green, Soňa Mokrá, Nicholas Fernando, Boxi Wu, Rachel Foley, Susannah Young, Iason Gabriel, William Isaac, John Mellor, Demis Hassabis, Koray Kavukcuoglu, Lisa Anne Hendricks, Geoffrey Irving
We present Sparrow, an information-seeking dialogue agent trained to be more helpful, correct, and harmless compared to prompted language model baselines.
1 code implementation • 28 Sep 2022 • Zhiyang Chen, Yousong Zhu, Zhaowen Li, Fan Yang, Wei Li, Haixin Wang, Chaoyang Zhao, Liwei Wu, Rui Zhao, Jinqiao Wang, Ming Tang
Obj2Seq is able to flexibly determine input categories to satisfy customized requirements, and be easily extended to different visual tasks.
no code implementations • 22 Sep 2022 • Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo
An activation function is an element-wise mathematical function and plays a crucial role in deep neural networks (DNN).
1 code implementation • 19 Sep 2022 • Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
Importance reweighting is a normal way to handle the subpopulation shift issue by imposing constant or adaptive sampling weights on each sample in the training dataset.
no code implementations • 17 Sep 2022 • Zhuyun Zhou, Zongwei Wu, Rémi Boutteau, Fan Yang, Cédric Demonceaux, Dominique Ginhac
Moving Object Detection (MOD) is a critical vision task for successfully achieving safe autonomous driving.
1 code implementation • 30 Aug 2022 • Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
In this work, we propose a fixed-length adaptive numerical data type called ANT to achieve low-bit quantization with tiny hardware overheads.
1 code implementation • 27 Aug 2022 • Fan Yang, Norimichi Ukita, Sakriani Sakti, Satoshi Nakamura
By using MOT, the spatiotemporal boundary of each actor is obtained and assigned to a unique actor identity.
no code implementations • 14 Aug 2022 • Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang
The main challenges of applying NAS to semantic segmentation arise from two aspects: (i) high-resolution images to be processed; (ii) additional requirement of real-time inference speed (i. e., real-time semantic segmentation) for applications such as autonomous driving.
no code implementations • 4 Aug 2022 • Fan Yang, Qizhang Feng, Kaixiong Zhou, Jiahao Chen, Xia Hu
Counterfactual, serving as one emerging type of model explanation, has attracted tons of attentions recently from both industry and academia.
2 code implementations • 5 Jul 2022 • Jiawei Yang, Hanbo Chen, Yu Zhao, Fan Yang, Yao Zhang, Lei He, Jianhua Yao
We evaluate ReMix on two public datasets with two state-of-the-art MIL methods.
1 code implementation • 17 Jun 2022 • Zelong Zeng, Fan Yang, Zheng Wang, Shin'ichi Satoh
Most deep metric learning (DML) methods employ a strategy that forces all positive samples to be close in the embedding space while keeping them away from negative ones.
1 code implementation • 17 Jun 2022 • Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Hu
Even though Shapley value provides an effective explanation for a DNN model prediction, the computation relies on the enumeration of all possible input feature coalitions, which leads to the exponentially growing complexity.
no code implementations • NeurIPS 2021 • Fan Yang, Kai He, Linxiao Yang, Hongxia Du, Jingbang Yang, Bo Yang, Liang Sun
The learning problem is framed as a subset selection task in which a subset of all possible rules needs to be selected to form an accurate and interpretable rule set.
2 code implementations • 7 Jun 2022 • Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
On effectiveness, the SwinV2-MoE model achieves superior accuracy in both pre-training and down-stream computer vision tasks such as COCO object detection than the counterpart dense model, indicating the readiness of Tutel for end-to-end real-world model training and inference.
no code implementations • 22 May 2022 • Zelong Zeng, Zheng Wang, Fan Yang, Shin'ichi Satoh
The large variation of viewpoint and irrelevant content around the target always hinder accurate image retrieval and its subsequent tasks.
no code implementations • 21 May 2022 • Mingyao Cui, Zidong Wu, Yuhao Chen, Shenheng Xu, Fan Yang, Linglong Dai
By jointly designing the hardware and software, this prototype can realize real-time 4K video transmission with much reduced power consumption.
no code implementations • 20 May 2022 • Guogang Liao, Xuejian Li, Ze Wang, Fan Yang, Muzhi Guan, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang
We design a list-wise deep rank module to guarantee incentive compatibility in end-to-end learning.
no code implementations • 13 May 2022 • Xiangyu Xi, Chenxu Lv, Yuncheng Hua, Wei Ye, Chaobo Sun, Shuaipeng Liu, Fan Yang, Guanglu Wan
Though widely used in industry, traditional task-oriented dialogue systems suffer from three bottlenecks: (i) difficult ontology construction (e. g., intents and slots); (ii) poor controllability and interpretability; (iii) annotation-hungry.
no code implementations • 10 May 2022 • Jinze Sha, Andrew Kadis, Fan Yang, Timothy D. Wilkinson
We implement a novel limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) optimisation algorithm with cross entropy (CE) loss function, to produce phase-only computer-generated hologram (CGH) for holographic displays, with validation on a binary-phase modulation holographic projector.
no code implementations • 4 May 2022 • Yan Shen, Fan Yang, Mingchen Gao, Wen Dong
Traditional machine learning approaches capture complex system dynamics either with dynamic Bayesian networks and state space models, which is hard to scale because it is non-trivial to prescribe the dynamics with a sparse graph or a system of differential equations; or a deep neural networks, where the distributed representation of the learned dynamics is hard to interpret.
1 code implementation • 21 Apr 2022 • Fan Yang
Spatio-temporal action detection is an important and challenging problem in video understanding.
2 code implementations • 1 Apr 2022 • Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie
We perform comprehensive explorations for the optimal conduct of knowledge distillation, which may provide useful insights for the learning of VQ based ANN index.
1 code implementation • 28 Mar 2022 • Zhi Chen, Kun Sun, Fan Yang, Wenbing Tao
In this paper, we present a second order spatial compatibility (SC^2) measure based method for efficient and robust point cloud registration (PCR), called SC^2-PCR.
no code implementations • 17 Mar 2022 • Yantao Gong, Cao Liu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Weipeng Zhang, Houfeng Wang
Experiments on the open datasets verify that our model outperforms the existing calibration methods and achieves a significant improvement on the calibration metric.
no code implementations • CVPR 2022 • Zhaowen Li, Yousong Zhu, Fan Yang, Wei Li, Chaoyang Zhao, Yingying Chen, Zhiyang Chen, Jiahao Xie, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang
Furthermore, our method can also exploit single-centric-object dataset such as ImageNet and outperforms BYOL by 2. 5% with the same pre-training epochs in linear probing, and surpass current self-supervised object detection methods on COCO dataset, demonstrating its universality and potential.
no code implementations • 11 Mar 2022 • Jianzhang Zheng, Fan Yang, Hao Shen, Xuan Tang, Mingsong Chen, Liang Song, Xian Wei
We propose an algorithmic framework that leverages the advantages of the DNNs for data self-expression and task-specific predictions, to improve image classification.
2 code implementations • CVPR 2022 • Fan Yang, Kai Wu, Shuyi Zhang, Guannan Jiang, Yong liu, Feng Zheng, Wei zhang, Chengjie Wang, Long Zeng
Pseudo-label-based semi-supervised learning (SSL) has achieved great success on raw data utilization.
1 code implementation • ICLR 2022 • Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
This paper proposes an on-the-fly DFQ framework with sub-second quantization time, called SQuant, which can quantize networks on inference-only devices with low computation and memory requirements.
1 code implementation • 8 Feb 2022 • Ao Luo, Fan Yang, Kunming Luo, Xin Li, Haoqiang Fan, Shuaicheng Liu
Our key idea is to decouple the context reasoning from the matching procedure, and exploit scene information to effectively assist motion estimation by learning to reason over the adaptive graph.
no code implementations • 7 Feb 2022 • Yazhong Si, Fan Yang, Ya Guo, Wei zhang, Yipu Yang
In this paper, we presented a comprehensive perceptual study and analysis of real-world sand dust images, then constructed a Sand-dust Image Reconstruction Benchmark (SIRB) for training Convolutional Neural Networks (CNNs) and evaluating algorithms performance.
1 code implementation • 24 Jan 2022 • Yingying Zhao, Yuhu Chang, Yutian Lu, Yujiang Wang, Mingzhi Dong, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang
Experimental studies with 20 participants demonstrate that, thanks to the emotionship awareness, EMOShip not only achieves superior emotion recognition accuracy over existing methods (80. 2% vs. 69. 4%), but also provides a valuable understanding of the cause of emotions.
no code implementations • 22 Jan 2022 • Yi Hou, Chengyang Li, Fan Yang, Cong Ma, Liping Zhu, Yuan Li, Huizhu Jia, Xiaodong Xie
Our method can integrate the pedestrian's head and body information to enhance the feature expression ability of the density map.
no code implementations • CVPR 2022 • Zhi Chen, Kun Sun, Fan Yang, Wenbing Tao
In this paper, we present a second order spatial compatibility (SC^2) measure based method for efficient and robust point cloud registration (PCR), called SC^2-PCR.
no code implementations • CVPR 2022 • Ao Luo, Fan Yang, Xin Li, Shuaicheng Liu
Optical flow is a fundamental method used for quantitative motion estimation on the image plane.
1 code implementation • CVPR 2022 • Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao
To the best of our knowledge, this is the first work to jointly model both feature and modality variation for different samples to provide trustworthy fusion in multi-modal classification.
1 code implementation • 28 Dec 2021 • Zhi Chen, Fan Yang, Wenbing Tao
In this paper, we propose a neural network named DetarNet to decouple the translation $t$ and rotation $R$, so as to overcome the performance degradation due to their mutual interference in point cloud registration.
no code implementations • 18 Dec 2021 • Tao Shan, Zhichao Lin, Xiaoqian Song, Maokun Li, Fan Yang, Shenheng Xu
In this paper, we propose the neural Born iteration method (NeuralBIM) for solving 2D inverse scattering problems (ISPs) by drawing on the scheme of physics-informed supervised residual learning (PhiSRL) to emulate the computing process of the traditional Born iteration method (TBIM).
1 code implementation • 17 Dec 2021 • Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
In this paper, we comprehensively study three architecture design choices on ViT -- spatial reduction, doubled channels, and multiscale features -- and demonstrate that a vanilla ViT architecture can fulfill this goal without handcrafting multiscale features, maintaining the original ViT design philosophy.
1 code implementation • 24 Nov 2021 • Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan
To cover language, image, and video at the same time for different scenarios, a 3D transformer encoder-decoder framework is designed, which can not only deal with videos as 3D data but also adapt to texts and images as 1D and 2D data, respectively.
Ranked #1 on
Text-to-Video Generation
on Kinetics
1 code implementation • 18 Nov 2021 • Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia
Artificial intelligence (AI) provides a promising substitution for streamlining COVID-19 diagnoses.
no code implementations • 14 Nov 2021 • Jimiama M. Mase, Natalie Leesakul, Fan Yang, Grazziela P. Figueredo, Mercedes Torres Torres
Possible solutions to protect the privacy of users and avoid misuse of their identities are to: (1) extract anonymised facial features, namely action units (AU) from a database of images, discard the images and use AUs for processing and training, and (2) federated learning (FL) i. e. process raw images in users' local machines (local processing) and send the locally trained models to the main processing machine for aggregation (central processing).
no code implementations • 8 Nov 2021 • Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu
Explainable machine learning attracts increasing attention as it improves transparency of models, which is helpful for machine learning to be trusted in real applications.
1 code implementation • ICLR 2022 • Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
Graph Neural Networks (GNNs) are gaining extensive attention for their application in graph data.
no code implementations • ICLR 2022 • Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu
We show the understanding of GDP from the probability perspective and theoretically reveal the connection between GDP regularizer and adversarial debiasing.
no code implementations • ICLR 2022 • Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu
Based on the implementation, we propose a memory-efficient framework called ``EXACT'', which for the first time demonstrate the potential and evaluate the feasibility of training GNNs with compressed activations.
no code implementations • ICLR 2022 • Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert Dick, Qin Lv, Fan Yang, Li Shang
The feature space of deep models is inherently compositional.
no code implementations • 29 Sep 2021 • Bingyang Wen, Yupeng Cao, Fan Yang, Koduvayur Subbalakshmi, Rajarathnam Chandramouli
The flexibility of this architecture is its capability to support different types of expert knowledge (e. g., complete or partial) about the causal nature of the underlying phenomenon.
1 code implementation • 19 Sep 2021 • Zerun Wang, Liuyu Xiang, Fan Yang, Jinzhao Qian, Jie Hu, Haidong Huang, Jungong Han, Yuchen Guo, Guiguang Ding
While recent deep deblurring algorithms have achieved remarkable progress, most existing methods focus on the global deblurring problem, where the image blur mostly arises from severe camera shake.
2 code implementations • 9 Sep 2021 • Xing Cheng, Hezheng Lin, Xiangyu Wu, Fan Yang, Dong Shen
In this paper, we propose a multi-stream Corpus Alignment network with single gate Mixture-of-Experts (CAMoE) and a novel Dual Softmax Loss (DSL) to solve the two heterogeneity.
Ranked #5 on
Video Retrieval
on ActivityNet
(using extra training data)
no code implementations • 1 Sep 2021 • Shuhan Zhang, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng
A large body of literature has proved that the Bayesian optimization framework is especially efficient and effective in analog circuit synthesis.
no code implementations • 30 Aug 2021 • Karim Barigou, Daniël Linders, Fan Yang
This paper introduces new valuation schemes called actuarial-consistent valuations for insurance liabilities which depend on both financial and actuarial risks, which imposes that all actuarial risks are priced via standard actuarial principles.
no code implementations • 30 Aug 2021 • Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
Graph neural networks (GNNs), which learn the node representations by recursively aggregating information from its neighbors, have become a predominant computational tool in many domains.
no code implementations • 30 Aug 2021 • Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Guoqi Li, Weisheng Dong, Jianbo Shi
Visual recognition is currently one of the most important and active research areas in computer vision, pattern recognition, and even the general field of artificial intelligence.
no code implementations • 24 Aug 2021 • Yantao Gong, Cao Liu, Jiazhen Yuan, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Ruiyao Niu, Houfeng Wang
To handle this problem, we propose a density-based dynamic curriculum learning model.
no code implementations • ICCV 2021 • Jiachen Li, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, Chiho Choi
Motion forecasting plays a significant role in various domains (e. g., autonomous driving, human-robot interaction), which aims to predict future motion sequences given a set of historical observations.
1 code implementation • RANLP 2021 • Kishore Tumarada, Yifan Zhang, Fan Yang, Eduard Dragut, Omprakash Gnawali, Arjun Mukherjee
Experimental results show novel insights that were previously unknown such as better predictions for an increase in dynamic history length, the impact of the nature of the article on performance, thereby laying the foundation for further research.
no code implementations • 28 Jun 2021 • Shuhan Zhang, Fan Yang, Dian Zhou, Xuan Zeng
A new strategy is proposed to better balance the exploration and exploitation and guarantee the diversity of the query points.
no code implementations • 28 Jun 2021 • Shuhan Zhang, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng
After achieving the first feasible point, we favor the feasible region by adopting a specially designed penalization term to the acquisition function ensemble.
no code implementations • 20 Jun 2021 • Xu Li, Wenyao Zhai, Morris Repeta, Hua Cai, Tyler Ross, Kimia Ansari, Sam Tiller, Hari Krishna Pothula, Dong Liang, Fan Yang, Yibo Lyu, Songlin Shuai, Guangjian Wang, Wen Tong
For E-band wireless communications, a high gain steerable antenna with sub-arrays is desired to reduce the implementation complexity.
1 code implementation • CVPR 2021 • Xin Li, Deng-Ping Fan, Fan Yang, Ao Luo, Hong Cheng, Zicheng Liu
We address this problem with the use of a novel Probabilistic Model Distillation (PMD) approach which transfers knowledge learned by a probabilistic teacher model on synthetic data to a static student model with the use of unlabeled real image pairs.
no code implementations • 16 Jun 2021 • Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu
To address these limitations, we propose a Model-based Counterfactual Synthesizer (MCS) framework for interpreting machine learning models.
no code implementations • ACL 2021 • Shan Wu, Bo Chen, Chunlei Xin, Xianpei Han, Le Sun, Weipeng Zhang, Jiansong Chen, Fan Yang, Xunliang Cai
During synchronous decoding: the utterance paraphrasing is constrained by the structure of the logical form, therefore the canonical utterance can be paraphrased controlledly; the semantic decoding is guided by the semantics of the canonical utterance, therefore its logical form can be generated unsupervisedly.
1 code implementation • 11 Jun 2021 • Xing Cheng, Hezheng Lin, Xiangyu Wu, Fan Yang, Dong Shen, Zhongyuan Wang, Nian Shi, Honglin Liu
The task of multi-label image classification is to recognize all the object labels presented in an image.
Ranked #10 on
Multi-Label Classification
on MS-COCO
1 code implementation • 10 Jun 2021 • Hezheng Lin, Xing Cheng, Xiangyu Wu, Fan Yang, Dong Shen, Zhongyuan Wang, Qing Song, Wei Yuan
In this paper, we propose a new attention mechanism in Transformer termed Cross Attention, which alternates attention inner the image patch instead of the whole image to capture local information and apply attention between image patches which are divided from single-channel feature maps capture global information.
no code implementations • NeurIPS 2021 • Zhaowen Li, Zhiyang Chen, Fan Yang, Wei Li, Yousong Zhu, Chaoyang Zhao, Rui Deng, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang
More importantly, the masked tokens together with the remaining tokens are further recovered by a global image decoder, which preserves the spatial information of the image and is more friendly to the downstream dense prediction tasks.
no code implementations • 7 Jun 2021 • Kexuan Li, Fangfang Wang, Ruiqi Liu, Fan Yang, Zuofeng Shang
Our method is able to recover the ODE system without being subject to the curse of dimensionality and complicated ODE structure.
1 code implementation • CVPR 2021 • Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji
Channel pruning and tensor decomposition have received extensive attention in convolutional neural network compression.
1 code implementation • 18 May 2021 • Yuanming Li, Huaizheng Zhang, Shanshan Jiang, Fan Yang, Yonggang Wen, Yong Luo
AI engineering has emerged as a crucial discipline to democratize deep neural network (DNN) models among software developers with a diverse background.
no code implementations • CVPR 2021 • Fan Yang, Guosheng Lin
Garment transfer shows great potential in realistic applications with the goal of transfering outfits across different people images.
1 code implementation • 30 Apr 2021 • Chenfei Wu, Lun Huang, Qianxi Zhang, Binyang Li, Lei Ji, Fan Yang, Guillermo Sapiro, Nan Duan
Generating videos from text is a challenging task due to its high computational requirements for training and infinite possible answers for evaluation.
1 code implementation • CVPR 2021 • Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, Deng-Ping Fan
Automatically detecting/segmenting object(s) that blend in with their surroundings is difficult for current models.
no code implementations • 12 Mar 2021 • Yifan Zhang, Dainis Boumber, Marjan Hosseinia, Fan Yang, Arjun Mukherjee
It is also one of the first to use Deep Language Models in this setting.
1 code implementation • 26 Feb 2021 • Yu Liu, Fan Yang, Dominique Ginhac
Interpreting human actions requires understanding the spatial and temporal context of the scenes.
1 code implementation • CVPR 2021 • Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan Yuille, Fan Yang
Semi-supervised learning on class-imbalanced data, although a realistic problem, has been under studied.
no code implementations • 11 Feb 2021 • Zheng Li, Xiaoyu Nie, Fan Yang, Xiangpei Liu, Dongyu Liu, Xiaolong Dong, Xingchen Zhao, Tao Peng, M. Suhail Zubairy, Marlan O. Scully
We present a novel method to synthesize non-trivial speckles that can enable superresolving second-order correlation imaging.
Optics Image and Video Processing
no code implementations • 5 Feb 2021 • Zongming Ma, Fan Yang
If the entries of $\mathbf x$, $\mathbf y$ and $\mathbf z$ are i. i. d.
Probability
1 code implementation • 31 Jan 2021 • Zhi Chen, Fan Yang, Wenbing Tao
We then propose a hybrid attention block to extract feature, which integrates the Bayesian attentive context normalization (BACN) and channel-wise attention (CA).
no code implementations • 18 Jan 2021 • Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu
With the wide use of deep neural networks (DNN), model interpretability has become a critical concern, since explainable decisions are preferred in high-stake scenarios.
1 code implementation • ICCV 2021 • Fan Yang, Qiang Zhai, Xin Li, Rui Huang, Ao Luo, Hong Cheng, Deng-Ping Fan
Spotting objects that are visually adapted to their surroundings is challenging for both humans and AI.
no code implementations • 24 Dec 2020 • Xiao-Wei Duan, Xiao-Dian Chen, Li-Cai Deng, Fan Yang, Chao Liu, Anupam Bhardwaj, Hua-Wei Zhang
The nature of shock waves in non-fundamental mode RR Lyrae stars remains a mystery because of limited spectroscopic observations.
Solar and Stellar Astrophysics
no code implementations • 21 Dec 2020 • Rui Han, Michael T Lacey, Fan Yang
We prove a Roth type theorem for polynomial corners in the finite field setting.
Classical Analysis and ODEs Combinatorics Number Theory
no code implementations • 21 Dec 2020 • Yunmo Chen, Sixing Lu, Fan Yang, Xiaojiang Huang, Xing Fan, Chenlei Guo
Query rewriting (QR) systems are widely used to reduce the friction caused by errors in a spoken language understanding pipeline.
no code implementations • 15 Dec 2020 • Yifan Zhang, Fan Yang, Marjan Hosseinia, Arjun Mukherjee
In this paper, we introduce a new framework called the sentiment-aspect attribution module (SAAM).
no code implementations • NeurIPS 2020 • Fan Yang, Alina Vereshchaka, Changyou Chen, Wen Dong
We demonstrate the performance of our algorithm through benchmarking with three state-of-the-art multi-agent imitation learning algorithms on several tasks, including solving a multi-agent traffic optimization problem in a real-world transportation network.
no code implementations • COLING 2020 • Fan Yang, Eduard Dragut, Arjun Mukherjee
We evaluate the proposed model on this dataset.
no code implementations • 17 Nov 2020 • Fan Yang, Chao Yang, Di Guo, Huaping Liu, Fuchun Sun
Robots have limited adaptation ability compared to humans and animals in the case of damage.
1 code implementation • ECCV 2020 • Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji
Specifically, most state-of-the-art SR models without batch normalization have a large dynamic quantization range, which also serves as another cause of performance drop.
no code implementations • COLING 2020 • Juan Li, Ruoxu Wang, Ningyu Zhang, Wen Zhang, Fan Yang, Huajun Chen
To recognize unseen relations at test time, we explore the problem of zero-shot relation classification.
no code implementations • 22 Oct 2020 • Fan Yang, Hongyang R. Zhang, Sen Wu, Weijie J. Su, Christopher Ré
A fundamental question in transfer learning is whether combining the data of both tasks works better than using only the target task's data (equivalently, whether a "positive information transfer" happens).
no code implementations • 7 Oct 2020 • Jonni Virtema, Jana Hofmann, Bernd Finkbeiner, Juha Kontinen, Fan Yang
We study the expressivity and complexity of model checking linear temporal logic with team semantics (TeamLTL).
Logic in Computer Science Computational Complexity F.4.1; D.2.4
3 code implementations • ECCV 2020 • Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li
Firstly, on the basis of a lightweight backbone, we propose a meta-joint optimization strategy to dynamically regress a small set of 3DMM parameters, which greatly enhances speed and accuracy simultaneously.
Ranked #1 on
3D Face Reconstruction
on Florence
(Mean NME metric)
2 code implementations • 14 Sep 2020 • Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo
Despite the remarkable successes of Convolutional Neural Networks (CNNs) in computer vision, it is time-consuming and error-prone to manually design a CNN.
1 code implementation • 8 Sep 2020 • Heng Fan, Hexin Bai, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao, Lin Yuan, Haibin Ling
The average video length of LaSOT is around 2, 500 frames, where each video contains various challenge factors that exist in real world video footage, such as the targets disappearing and re-appearing.
1 code implementation • ECCV 2020 • Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu
Current works either simply distill prior knowledge from the corresponding depth map for handling the RGB-image or blindly fuse color and geometric information to generate the coarse depth-aware representations, hindering the performance of RGB-D saliency detectors. In this work, we introduceCascade Graph Neural Networks(Cas-Gnn), a unified framework which is capable of comprehensively distilling and reasoning the mutual benefits between these two data sources through a set of cascade graphs, to learn powerful representations for RGB-D salient object detection.
Ranked #5 on
RGB-D Salient Object Detection
on NJU2K
no code implementations • 3 Aug 2020 • Yuheng Lu, Fan Yang, Fangping Chen, Don Xie
Place recognition is one of the hot research fields in automation technology and is still an open issue, Camera and Lidar are two mainstream sensors used in this task, Camera-based methods are easily affected by illumination and season changes, LIDAR cannot get the rich data as the image could , In this paper, we propose the PIC-Net (Point cloud and Image Collaboration Network), which use attention mechanism to fuse the features of image and point cloud, and mine the complementary information between the two.
no code implementations • 24 Jul 2020 • Sina Mohseni, Fan Yang, Shiva Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric Ragan
Combating fake news and misinformation propagation is a challenging task in the post-truth era.
no code implementations • 11 Jul 2020 • Zhi Chen, Fan Yang, Wenbing Tao
We then propose a hybrid attention block to extract feature, which integrates the bayesian attentive context normalization (BACN) and channel-wise attention (CA).
no code implementations • 7 Jul 2020 • Fan Yang, Xin Chang, Chenyu Dang, Ziqiang Zheng, Sakriani Sakti, Satoshi Nakamura, Yang Wu
We aim to improve the performance of Multiple Object Tracking and Segmentation (MOTS) by refinement.
Ranked #1 on
Multi-Object Tracking
on MOTS20
no code implementations • 4 Jul 2020 • Yigeng Zhang, Fan Yang, Yifan Zhang, Eduard Dragut, Arjun Mukherjee
In this work, we propose a method that differentiates the satirical news and true news.
1 code implementation • 15 Jun 2020 • Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
In this paper, we investigate a specific security problem called trojan attack, which aims to attack deployed DNN systems relying on the hidden trigger patterns inserted by malicious hackers.
no code implementations • 14 Jun 2020 • Hu Ding, Fan Yang, Jiawei Huang
For the data sanitization defense, we link it to the intrinsic dimensionality of data; in particular, we provide a sampling theorem in doubling metrics for explaining the effectiveness of DBSCAN (as a density-based outlier removal method) for defending against poisoning attacks.
no code implementations • 5 Jun 2020 • Fan Yang, Xiao Xiao
Blur detection is the separation of blurred and clear regions of an image, which is an important and challenging task in computer vision.
3 code implementations • 1 Jun 2020 • Matthew W. Hoffman, Bobak Shahriari, John Aslanides, Gabriel Barth-Maron, Nikola Momchev, Danila Sinopalnikov, Piotr Stańczyk, Sabela Ramos, Anton Raichuk, Damien Vincent, Léonard Hussenot, Robert Dadashi, Gabriel Dulac-Arnold, Manu Orsini, Alexis Jacq, Johan Ferret, Nino Vieillard, Seyed Kamyar Seyed Ghasemipour, Sertan Girgin, Olivier Pietquin, Feryal Behbahani, Tamara Norman, Abbas Abdolmaleki, Albin Cassirer, Fan Yang, Kate Baumli, Sarah Henderson, Abe Friesen, Ruba Haroun, Alex Novikov, Sergio Gómez Colmenarejo, Serkan Cabi, Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, Andrew Cowie, Ziyu Wang, Bilal Piot, Nando de Freitas
These implementations serve both as a validation of our design decisions as well as an important contribution to reproducibility in RL research.
no code implementations • 7 Apr 2020 • Zhecan Wang, Jian Zhao, Cheng Lu, Han Huang, Fan Yang, Lianji Li, Yandong Guo
To better demonstrate the advantage of our methods, we further propose a new benchmark dataset with the most rich distribution of head-gaze combination reflecting real-world scenarios.
2 code implementations • 3 Apr 2020 • Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou
In this paper, we introduce XGLUE, a new benchmark dataset that can be used to train large-scale cross-lingual pre-trained models using multilingual and bilingual corpora and evaluate their performance across a diverse set of cross-lingual tasks.
no code implementations • NeurIPS 2020 • Jiachen Li, Fan Yang, Masayoshi Tomizuka, Chiho Choi
In this paper, we propose a generic trajectory forecasting framework (named EvolveGraph) with explicit relational structure recognition and prediction via latent interaction graphs among multiple heterogeneous, interactive agents.
Ranked #10 on
Trajectory Prediction
on Stanford Drone
no code implementations • 27 Feb 2020 • Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu
In this paper, we systematically review different data augmentation methods for time series.
no code implementations • 31 Jan 2020 • Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng
In this paper, we present a novel network structure called Hybrid Graph Neural Network (HyGnn) which targets to relieve the problem by interweaving the multi-scale features for crowd density as well as its auxiliary task (localization) together and performing joint reasoning over a graph.
no code implementations • 16 Jan 2020 • Fan Yang, Shao-Jian Jiang, Fei Zhou
When strong quantum fluctuations near resonance are taken into account, the line of continuous phase transitions terminates at two multicritical points near resonance, between which the transitions are expected to be first-order ones.
Quantum Gases
no code implementations • ICLR 2020 • Fan Yang, Ling Chen, Fan Zhou, Yusong Gao, Wei Cao
Real-world dynamical systems often consist of multiple stochastic subsystems that interact with each other.
no code implementations • NeurIPS 2019 • Fan Yang, Liu Leqi, Yifan Wu, Zachary C. Lipton, Pradeep Ravikumar, William W. Cohen, Tom Mitchell
The ability to inferring latent psychological traits from human behavior is key to developing personalized human-interacting machine learning systems.
1 code implementation • 8 Dec 2019 • Fan Yang, Cheng Lu, Yandong Guo, Longin Jan Latecki, Haibin Ling
Feature pyramid architecture has been broadly adopted in object detection and segmentation to deal with multi-scale problem.
no code implementations • 1 Dec 2019 • Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng
Bayesian optimization with Gaussian process as surrogate model has been successfully applied to analog circuit synthesis.
no code implementations • 25 Nov 2019 • Jin Watanabe, Takatomi Kubo, Fan Yang, Kazushi Ikeda
An automatic mouse behavior recognition system can considerably reduce the workload of experimenters and facilitate the analysis process.
1 code implementation • 24 Nov 2019 • Fan Yang, Feiran Li, Yang Wu, Sakriani Sakti, Satoshi Nakamura
3D panoramic multi-person localization and tracking are prominent in many applications, however, conventional methods using LiDAR equipment could be economically expensive and also computationally inefficient due to the processing of point cloud data.
Ranked #1 on
Multi-Object Tracking
on MOT15_3D
(using extra training data)
no code implementations • 18 Nov 2019 • Heng Fan, Fan Yang, Peng Chu, Lin Yuan, Haibin Ling
For the analysis component, given the tracking results on all sequences, it investigates the behavior of the tracker under each individual factor and generates the report automatically.
1 code implementation • 4 Nov 2019 • Fan Yang, Zijian Zhang, Haofan Wang, Yuening Li, Xia Hu
XDeep is an open-source Python package developed to interpret deep models for both practitioners and researchers.
no code implementations • 23 Oct 2019 • Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda
One of the complicated relationships among three correlated variables could be a two-layer hierarchical many-to-many mapping.
no code implementations • 14 Oct 2019 • Fan Yang, Xiao Liu, Dongliang He, Chuang Gan, Jian Wang, Chao Li, Fu Li, Shilei Wen
In this work, we introduce a new problem, named as {\em story-preserving long video truncation}, that requires an algorithm to automatically truncate a long-duration video into multiple short and attractive sub-videos with each one containing an unbroken story.
8 code implementations • 3 Oct 2019 • Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu
Recently, increasing attention has been drawn to the internal mechanisms of convolutional neural networks, and the reason why the network makes specific decisions.
no code implementations • 2 Oct 2019 • Zijian Zhang, Fan Yang, Haofan Wang, Xia Hu
We introduce a new model-agnostic explanation technique which explains the prediction of any classifier called CLE.
no code implementations • 28 Sep 2019 • Zhi Chen, Fan Yang, Wenbing Tao
To establish the link between Fn-score and loss, we propose to guide the loss with the Fn-score directly.
no code implementations • 23 Aug 2019 • Mengnan Du, Fan Yang, Na Zou, Xia Hu
Deep learning is increasingly being used in high-stake decision making applications that affect individual lives.
no code implementations • 13 Aug 2019 • Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
Recent explainability related studies have shown that state-of-the-art DNNs do not always adopt correct evidences to make decisions.
no code implementations • WS 2019 • Fan Yang, Xiaochang Peng, Gargi Ghosh, Reshef Shilon, Hao Ma, Eider Moore, Goran Predovic
Interactions among users on social network platforms are usually positive, constructive and insightful.
no code implementations • 26 Jul 2019 • Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang
Segmenting coronary arteries is challenging, as classic unsupervised methods fail to produce satisfactory results and modern supervised learning (deep learning) requires manual annotation which is often time-consuming and can some time be infeasible.
3 code implementations • arXiv 2019 • Fan Yang, Sakriani Sakti, Yang Wu, Satoshi Nakamura
Although skeleton-based action recognition has achieved great success in recent years, most of the existing methods may suffer from a large model size and slow execution speed.
Ranked #1 on
Hand Gesture Recognition
on DHG-14
no code implementations • 16 Jul 2019 • Fan Yang, Mengnan Du, Xia Hu
Interpretable Machine Learning (IML) has become increasingly important in many real-world applications, such as autonomous cars and medical diagnosis, where explanations are significantly preferred to help people better understand how machine learning systems work and further enhance their trust towards systems.
BIG-bench Machine Learning
Interpretable Machine Learning
+1
no code implementations • 8 Jul 2019 • Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia Hu
In this demo paper, we present the XFake system, an explainable fake news detector that assists end-users to identify news credibility.
no code implementations • 27 Jun 2019 • Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao
In addition, we introduce a novel three-stage learning approach which enables the (cognitive) encoder to gradually distill useful knowledge from the paired (visual) encoder during the learning process.