no code implementations • Findings (ACL) 2022 • Binyuan Hui, Ruiying Geng, Lihan Wang, Bowen Qin, Yanyang Li, Bowen Li, Jian Sun, Yongbin Li
The task of converting a natural language question into an executable SQL query, known as text-to-SQL, is an important branch of semantic parsing.
1 code implementation • 9 May 2023 • Runqing Wang, Gang Wang, Jian Sun, Fang Deng, Jie Chen
The complex relationships between operations and machines are represented precisely and concisely, for which a dual-attention network (DAN) comprising several interconnected operation message attention blocks and machine message attention blocks is proposed.
no code implementations • 5 May 2023 • Hao Lang, Yinhe Zheng, Yixuan Li, Jian Sun, Fei Huang, Yongbin Li
Out-of-distribution (OOD) detection is essential for the reliable and safe deployment of machine learning systems in the real world.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
no code implementations • 2 May 2023 • Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen
In this work, a data-based formulation for computing the steady-state Kalman gain is proposed based on semi-definite programming (SDP) using some noise-free input-state-output data.
no code implementations • 11 Apr 2023 • Jian Sun, Hiroko H. Dodge, Mohammad H. Mahoor
Deep machine learning models including Convolutional Neural Networks (CNN) have been successful in the detection of Mild Cognitive Impairment (MCI) using medical images, questionnaires, and videos.
1 code implementation • 23 Mar 2023 • Xiang Gu, Yucheng Yang, Wei Zeng, Jian Sun, Zongben Xu
In this paper, we propose a novel KeyPoint-Guided model by ReLation preservation (KPG-RL) that searches for the optimal matching (i. e., transport plan) guided by the keypoints in OT.
1 code implementation • 10 Mar 2023 • Tong Nie, Guoyang Qin, Yunpeng Wang, Jian Sun
Traffic volume is an indispensable ingredient to provide fine-grained information for traffic management and control.
no code implementations • 3 Mar 2023 • Liwei Yang, Xiang Gu, Jian Sun
SSDP aims to reduce domain gap by projecting data to the source domain, while MLCL is a learning scheme to learn discriminative and generalizable features on the projected data.
1 code implementation • 15 Feb 2023 • Shihan Liu, Junlin Zha, Jian Sun, Zhuo Li, Gang Wang
This paper proposes an efficient, low-complexity and anchor-free object detector based on the state-of-the-art YOLO framework, which can be implemented in real time on edge computing platforms.
no code implementations • 14 Feb 2023 • Wenjie Liu, Masashi Wakaiki, Jian Sun, Gang Wang, Jie Chen
If, in addition, the transmission protocols at the controller-to-actuator (C-A) and sensor-to-controller (S-C) channels can be adapted, the self-triggered control architecture can be considerably simplified, leveraging a delicate observer-based deadbeat controller to eliminate the need for running the controller in parallel at the encoder side.
1 code implementation • NeurIPS 2021 • Lin Song, Songyang Zhang, Songtao Liu, Zeming Li, Xuming He, Hongbin Sun, Jian Sun, Nanning Zheng
Specifically, we propose a Dynamic Grained Encoder for vision transformers, which can adaptively assign a suitable number of queries to each spatial region.
no code implementations • 29 Nov 2022 • Bowen Yu, Zhenyu Zhang, Jingyang Li, Haiyang Yu, Tingwen Liu, Jian Sun, Yongbin Li, Bin Wang
Open Information Extraction (OpenIE) facilitates the open-domain discovery of textual facts.
1 code implementation • 23 Nov 2022 • Yingxiu Zhao, Yinhe Zheng, Bowen Yu, Zhiliang Tian, Dongkyu Lee, Jian Sun, Haiyang Yu, Yongbin Li, Nevin L. Zhang
In this paper, we explore a novel setting, semi-supervised lifelong language learning (SSLL), where a model learns sequentially arriving language tasks with both labeled and unlabeled data.
no code implementations • 21 Nov 2022 • Yinpei Dai, Wanwei He, Bowen Li, Yuchuan Wu, Zheng Cao, Zhongqi An, Jian Sun, Yongbin Li
Practical dialog systems need to deal with various knowledge sources, noisy user expressions, and the shortage of annotated data.
no code implementations • 10 Nov 2022 • Hao Lang, Yinhe Zheng, Jian Sun, Fei Huang, Luo Si, Yongbin Li
Out-of-Domain (OOD) intent detection is important for practical dialog systems.
no code implementations • 21 Oct 2022 • Tong Nie, Guoyang Qin, Yunpeng Wang, Jian Sun
In addition, sensors are prone to error or missing data due to various kinds of reasons, speeds from these sensors can become highly noisy.
no code implementations • 20 Oct 2022 • Haomin Fu, Yeqin Zhang, Haiyang Yu, Jian Sun, Fei Huang, Luo Si, Yongbin Li, Cam-Tu Nguyen
This paper introduces Doc2Bot, a novel dataset for building machines that help users seek information via conversations.
1 code implementation • 14 Oct 2022 • Yingxiu Zhao, Yinhe Zheng, Zhiliang Tian, Chang Gao, Bowen Yu, Haiyang Yu, Yongbin Li, Jian Sun, Nevin L. Zhang
Lifelong learning (LL) is vital for advanced task-oriented dialogue (ToD) systems.
no code implementations • 27 Sep 2022 • Yeganeh Madadi, Vahid Seydi, Jian Sun, Edward Chaum, Siamak Yousefi
We extend Maximum Mean Discrepancy (MMD), Low-rank coding, and Correlation Alignment (CORAL) to compute the adaptation loss in three base models.
1 code implementation • 14 Sep 2022 • Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li
To capture the structured dialog semantics, we pre-train the dialog understanding module via a novel tree-induced semi-supervised contrastive learning objective with the help of extra dialog annotations.
no code implementations • 8 Sep 2022 • Jian Sun, Kristopher Innanen
Compared to FWI, which is sensitive to the initial model, IFWI benefits from the increased degrees of freedom with deep learning optimization, thus allowing to start from a random initialization, which greatly reduces the risk of non-uniqueness and being trapped in local minima.
no code implementations • 29 Aug 2022 • Bowen Qin, Binyuan Hui, Lihan Wang, Min Yang, Jinyang Li, Binhua Li, Ruiying Geng, Rongyu Cao, Jian Sun, Luo Si, Fei Huang, Yongbin Li
In recent years, deep neural networks have significantly advanced this task by neural generation models, which automatically learn a mapping function from an input NL question to an output SQL query.
no code implementations • 22 Aug 2022 • Xin Wang, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen
The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems (a. k. a.
no code implementations • CVPR 2023 • Xuanyang Zhang, Yonggang Li, Xiangyu Zhang, Yongtao Wang, Jian Sun
Differentiable architecture search (DARTS) has significantly promoted the development of NAS techniques because of its high search efficiency and effectiveness but suffers from performance collapse.
Ranked #11 on
Neural Architecture Search
on NAS-Bench-201, CIFAR-10
no code implementations • 1 Aug 2022 • Xin Wang, Jian Sun, Gang Wang, Jie Chen
This article deals with model- and data-based consensus control of heterogenous leader-following multi-agent systems (MASs) under an event-triggering transmission scheme.
1 code implementation • 22 Jul 2022 • Jinrong Yang, Lin Song, Songtao Liu, Weixin Mao, Zeming Li, Xiaoping Li, Hongbin Sun, Jian Sun, Nanning Zheng
Many point-based 3D detectors adopt point-feature sampling strategies to drop some points for efficient inference.
no code implementations • 21 Jul 2022 • Jinrong Yang, Songtao Liu, Zeming Li, Xiaoping Li, Jian Sun
In this paper, we explore the performance of real time models on this metric and endow the models with the capacity of predicting the future, significantly improving the results for streaming perception.
no code implementations • 18 Jul 2022 • Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen
Self-triggered control, a well-documented technique for reducing the communication overhead while ensuring desired system performance, is gaining increasing popularity.
no code implementations • 14 Jul 2022 • Zhenyu Zhang, Bowen Yu, Haiyang Yu, Tingwen Liu, Cheng Fu, Jingyang Li, Chengguang Tang, Jian Sun, Yongbin Li
In this paper, we propose a Layout-aware document-level Information Extraction dataset, LIE, to facilitate the study of extracting both structural and semantic knowledge from visually rich documents (VRDs), so as to generate accurate responses in dialogue systems.
2 code implementations • 6 Jul 2022 • HongYu Zhou, Zheng Ge, Songtao Liu, Weixin Mao, Zeming Li, Haiyan Yu, Jian Sun
To date, the most powerful semi-supervised object detectors (SS-OD) are based on pseudo-boxes, which need a sequence of post-processing with fine-tuned hyper-parameters.
1 code implementation • 2 Jun 2022 • Yingfei Liu, Junjie Yan, Fan Jia, Shuailin Li, Aqi Gao, Tiancai Wang, Xiangyu Zhang, Jian Sun
More specifically, we extend the 3D position embedding (3D PE) in PETR for temporal modeling.
Ranked #2 on
3D Lane Detection
on OpenLane
1 code implementation • 1 Jun 2022 • Yanwei Li, Yilun Chen, Xiaojuan Qi, Zeming Li, Jian Sun, Jiaya Jia
To this end, the modality-specific space is first designed to represent different inputs in the voxel feature space.
1 code implementation • CVPR 2022 • Yanwei Li, Xiaojuan Qi, Yukang Chen, LiWei Wang, Zeming Li, Jian Sun, Jiaya Jia
In this work, we present a conceptually simple yet effective framework for cross-modality 3D object detection, named voxel field fusion.
no code implementations • 30 May 2022 • Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, Yongbin Li
In this paper, we present Duplex Conversation, a multi-turn, multimodal spoken dialogue system that enables telephone-based agents to interact with customers like a human.
1 code implementation • 30 May 2022 • Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan Yuille
The Gaussian reconstruction kernels have been proposed by Westover (1990) and studied by the computer graphics community back in the 90s, which gives an alternative representation of object 3D geometry from meshes and point clouds.
no code implementations • 25 May 2022 • Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Aleš Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Fangya Li, Ruipeng Gang, Chenghua Li, Jinjing Li, Sai Ma, Chenming Liu, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park
The challenge is composed of two tracks with an emphasis on fidelity and complexity constraints: In Track 1, participants are asked to optimize objective fidelity scores while imposing a low-complexity constraint (i. e. solutions can not exceed a given number of operations).
no code implementations • 24 May 2022 • Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Haiyang Yu, Jian Sun, Yongbin Li
Open Information Extraction (OpenIE) facilitates domain-independent discovery of relational facts from large corpora.
Ranked #1 on
Open Information Extraction
on CaRB
Natural Language Understanding
Open-Domain Question Answering
+1
1 code implementation • 19 May 2022 • Tong Nie, Guoyang Qin, Jian Sun
Rapid advances in sensor, wireless communication, cloud computing and data science have brought unprecedented amount of data to assist transportation engineers and researchers in making better decisions.
2 code implementations • 11 May 2022 • Yawei Li, Kai Zhang, Radu Timofte, Luc van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu1, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoğlu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gaoand Dengwen Zhouand Qian Ning, Jingzhu Tang, Han Huang, YuFei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Dengwen Zhou, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang
The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29. 00dB on DIV2K validation set.
2 code implementations • CVPR 2022 • Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, Jiaya Jia
In this paper, we introduce two new modules to enhance the capability of Sparse CNNs, both are based on making feature sparsity learnable with position-wise importance prediction.
1 code implementation • 18 Apr 2022 • Ziwei Luo, Youwei Li, Shen Cheng, Lei Yu, Qi Wu, Zhihong Wen, Haoqiang Fan, Jian Sun, Shuaicheng Liu
To overcome the challenges in BurstSR, we propose a Burst Super-Resolution Transformer (BSRT), which can significantly improve the capability of extracting inter-frame information and reconstruction.
Ranked #1 on
Burst Image Super-Resolution
on BurstSR
no code implementations • 11 Apr 2022 • Guocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun
TNAS performs a modified bi-level Breadth-First Search in the proposed trees to discover a high-performance architecture.
7 code implementations • 10 Apr 2022 • Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, Jian Sun
Although there have been significant advances in the field of image restoration recently, the system complexity of the state-of-the-art (SOTA) methods is increasing as well, which may hinder the convenient analysis and comparison of methods.
Ranked #1 on
Deblurring
on MSU BASED
no code implementations • 28 Mar 2022 • Junjie Fu, Jian Sun, Gang Wang
Extensive experiments demonstrate that our method can not only improve the attack success rates, but also reduces the number of queries compared to other methods.
1 code implementation • CVPR 2022 • Yisheng He, Yao Wang, Haoqiang Fan, Jian Sun, Qifeng Chen
6D object pose estimation networks are limited in their capability to scale to large numbers of object instances due to the close-set assumption and their reliance on high-fidelity object CAD models.
1 code implementation • CVPR 2022 • Jinrong Yang, Songtao Liu, Zeming Li, Xiaoping Li, Jian Sun
In this paper, instead of searching trade-offs between accuracy and speed like previous works, we point out that endowing real-time models with the ability to predict the future is the key to dealing with this problem.
Ranked #1 on
Real-Time Object Detection
on Argoverse-HD (Full-Stack, Val)
(sAP metric, using extra
training data)
2 code implementations • 22 Mar 2022 • Zhisheng Zhong, Jiequan Cui, Zeming Li, Eric Lo, Jian Sun, Jiaya Jia
Given the promising performance of contrastive learning, we propose Rebalanced Siamese Contrastive Mining (ResCom) to tackle imbalanced recognition.
Ranked #4 on
Long-tail Learning
on CIFAR-10-LT (ρ=10)
no code implementations • ACL 2022 • Yingxiu Zhao, Zhiliang Tian, Huaxiu Yao, Yinhe Zheng, Dongkyu Lee, Yiping Song, Jian Sun, Nevin L. Zhang
Building models of natural language processing (NLP) is challenging in low-resource scenarios where only limited data are available.
1 code implementation • CVPR 2022 • Zhiyuan Liang, Tiancai Wang, Xiangyu Zhang, Jian Sun, Jianbing Shen
The tree energy loss is effective and easy to be incorporated into existing frameworks by combining it with a traditional segmentation loss.
1 code implementation • Findings (ACL) 2022 • Sai Zhang, Yuwei Hu, Yuchuan Wu, Jiaman Wu, Yongbin Li, Jian Sun, Caixia Yuan, Xiaojie Wang
We find some new linguistic phenomena and interactive manners in SSTOD which raise critical challenges of building dialog agents for the task.
Ranked #1 on
SSTOD
on SSD_NAME
2 code implementations • CVPR 2022 • Anlin Zheng, Yuang Zhang, Xiangyu Zhang, Xiaojuan Qi, Jian Sun
Experiments show that our method can significantly boost the performance of query-based detectors in crowded scenes.
Ranked #2 on
Object Detection
on CrowdHuman (full body)
no code implementations • 14 Mar 2022 • Binyuan Hui, Ruiying Geng, Lihan Wang, Bowen Qin, Bowen Li, Jian Sun, Yongbin Li
The task of converting a natural language question into an executable SQL query, known as text-to-SQL, is an important branch of semantic parsing.
6 code implementations • CVPR 2022 • Xiaohan Ding, Xiangyu Zhang, Yizhuang Zhou, Jungong Han, Guiguang Ding, Jian Sun
We revisit large kernel design in modern convolutional neural networks (CNNs).
Ranked #69 on
Image Classification
on ImageNet
1 code implementation • 10 Mar 2022 • Yingfei Liu, Tiancai Wang, Xiangyu Zhang, Jian Sun
Object query can perceive the 3D position-aware features and perform end-to-end object detection.
no code implementations • 6 Mar 2022 • Yisheng He, Haoqiang Fan, Haibin Huang, Qifeng Chen, Jian Sun
Instead, we propose a label-free method that learns to enforce the geometric consistency between category template mesh and observed object point cloud under a self-supervision manner.
no code implementations • 16 Feb 2022 • Xin Wang, Julian Berberich, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen
To this end, we begin by presenting a dynamic event-triggering scheme (ETS) based on periodic sampling, and a discrete-time looped-functional approach, through which a model-based stability condition is derived.
2 code implementations • CVPR 2022 • Yin-Yin He, Peizhen Zhang, Xiu-Shen Wei, Xiangyu Zhang, Jian Sun
In this paper, we explore to excavate the confusion matrix, which carries the fine-grained misclassification details, to relieve the pairwise biases, generalizing the coarse one.
no code implementations • 8 Dec 2021 • Jian Sun, Yu Zhou, Chengqing Zong
To address the problem, we propose a novel model, called DyMen, to dynamically adjust the subsequent linking target based on the previously linked entities via reinforcement learning, enabling the model to select a link target that can fully use previously linked information.
1 code implementation • NeurIPS 2021 • Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu
To tackle the challenge of negative domain transfer, we propose a novel Adversarial Reweighting (AR) approach that adversarially learns the weights of source domain data to align the source and target domain distributions, and the transferable deep recognition network is learned on the reweighted source domain data.
Ranked #1 on
Partial Domain Adaptation
on ImageNet-Caltech
no code implementations • NeurIPS 2021 • Ruosi Wan, Zhanxing Zhu, Xiangyu Zhang, Jian Sun
Specifically, 1) we introduce the assumptions that can lead to equilibrium state in SMD, and prove equilibrium can be reached in a linear rate regime under given assumptions; 2) we propose ``angular update" as a substitute for effective learning rate to depict the state of SMD, and derive the theoretical value of angular update in equilibrium state; 3) we verify our assumptions and theoretical results on various large-scale computer vision tasks including ImageNet and MSCOCO with standard settings.
1 code implementation • 29 Nov 2021 • Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li
Pre-trained models have proved to be powerful in enhancing task-oriented dialog systems.
Ranked #1 on
End-To-End Dialogue Modelling
on MULTIWOZ 2.0
1 code implementation • 21 Nov 2021 • Jian Sun, Ali Pourramezan Fard, Mohammad H. Mahoor
To address the computational burdens of the Dynamic Routing mechanism, this paper proposes new Fully Connected (FC) layers by xnorizing the linear projector outside or inside the Dynamic Routing within the CapsFC layer.
Ranked #11 on
Image Classification
on MNIST
(Accuracy metric)
no code implementations • 18 Nov 2021 • Bowen Qin, Lihan Wang, Binyuan Hui, Ruiying Geng, Zheng Cao, Min Yang, Jian Sun, Yongbin Li
Recently pre-training models have significantly improved the performance of various NLP tasks by leveraging large-scale text corpora to improve the contextual representation ability of the neural network.
no code implementations • 6 Nov 2021 • Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen, Lihua Xie
We prove that local variable estimates generated by the proposed algorithm achieve consensus and are attracted to a neighborhood of the optimal solution in expectation with an $\mathcal{O}(\frac{1}{T}+\frac{1}{\sqrt{T}})$ convergence rate, where $T$ is the total number of iterations.
no code implementations • 29 Oct 2021 • Guanglin Niu, Yang Li, Chengguang Tang, Zhongkai Hu, Shibin Yang, Peng Li, Chengyu Wang, Hao Wang, Jian Sun
The multi-relational Knowledge Base Question Answering (KBQA) system performs multi-hop reasoning over the knowledge graph (KG) to achieve the answer.
Knowledge Base Question Answering
Knowledge Graph Embedding
+1
no code implementations • 25 Oct 2021 • Xin Wang, Jian Sun, Julian Berberich, Gang Wang, Frank Allgöwer, Jie Chen
Data-based representations for time-invariant linear systems with known or unknown system input matrices are first developed, along with a novel class of dynamic triggering schemes for sampled-data systems with time delays.
1 code implementation • NeurIPS 2021 • Zijian Kang, Peizhen Zhang, Xiangyu Zhang, Jian Sun, Nanning Zheng
Knowledge distillation has shown great success in classification, however, it is still challenging for detection.
no code implementations • 25 Oct 2021 • Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen
Finally, a numerical example is given to validate the effectiveness of the proposed control method.
1 code implementation • EMNLP 2021 • Che Liu, Rui Wang, Jinghua Liu, Jian Sun, Fei Huang, Luo Si
Learning sentence embeddings from dialogues has drawn increasing attention due to its low annotation cost and high domain adaptability.
no code implementations • 26 Sep 2021 • Xuanyang Zhang, Xiangyu Zhang, Jian Sun
Knowledge distillation field delicately designs various types of knowledge to shrink the performance gap between compact student and large-scale teacher.
1 code implementation • 23 Sep 2021 • Peizhen Zhang, Zijian Kang, Tong Yang, Xiangyu Zhang, Nanning Zheng, Jian Sun
Instead, we generate an instructive knowledge based only on student representations and regular labels.
2 code implementations • 15 Sep 2021 • Yingming Wang, Xiangyu Zhang, Tong Yang, Jian Sun
Thanks to the query design and the attention variant, the proposed detector that we called Anchor DETR, can achieve better performance and run faster than the DETR with 10$\times$ fewer training epochs.
1 code implementation • 17 Aug 2021 • Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Yukang Chen, Lu Qi, LiWei Wang, Zeming Li, Jian Sun, Jiaya Jia
In particular, Panoptic FCN encodes each object instance or stuff category with the proposed kernel generator and produces the prediction by convolving the high-resolution feature directly.
Panoptic Segmentation
Weakly-supervised panoptic segmentation
1 code implementation • ICCV 2021 • Xin Wei, Yifei Gong, Fudong Wang, Xing Sun, Jian Sun
In this way, each 3D shape with arbitrary views is represented by a fixed number of canonical view features, which are further aggregated to generate a rich and robust 3D shape representation for shape recognition.
1 code implementation • LREC 2022 • Yinhe Zheng, Guanyi Chen, Xin Liu, Jian Sun
To better investigate this issue, we manually annotate 100K dialogues from MMChat and further filter the corpus accordingly, which yields MMChat-hf.
no code implementations • ACL 2021 • Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu
Existing dialog state tracking (DST) models are trained with dialog data in a random order, neglecting rich structural information in a dataset.
1 code implementation • 27 Jul 2021 • Songyang Zhang, Lin Song, Songtao Liu, Zheng Ge, Zeming Li, Xuming He, Jian Sun
In this report, we introduce our real-time 2D object detection system for the realistic autonomous driving scenario.
1 code implementation • 26 Jul 2021 • Heran Yang, Jian Sun, Liwei Yang, Zongben Xu
Hyper-GAN consists of a pair of hyper-encoder and hyper-decoder to first map from the source contrast to a common feature space, and then further map to the target contrast image.
32 code implementations • 18 Jul 2021 • Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, Jian Sun
In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX.
Ranked #1 on
Real-Time Object Detection
on Argoverse-HD (Detection-Only, Val)
(using extra training data)
no code implementations • 9 Jul 2021 • Fangcao Xu, Jian Sun, Guido Cervone, Mark Salvador
Atmospheric correction errors can significantly alter the spectral signature of the observations, and lead to invalid classifications or target detection.
2 code implementations • Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2021 • Ziwei Luo, Lei Yu, Xuan Mo, Youwei Li, Lanpeng Jia, Haoqiang Fan, Jian Sun, Shuaicheng Liu
We propose a novel architecture to handle the problem of multi-frame super-resolution (MFSR).
Ranked #2 on
Burst Image Super-Resolution
on SyntheticBurst
no code implementations • 7 Jun 2021 • Goutam Bhat, Martin Danelljan, Radu Timofte, Kazutoshi Akita, Wooyeong Cho, Haoqiang Fan, Lanpeng Jia, Daeshik Kim, Bruno Lecouat, Youwei Li, Shuaicheng Liu, Ziluan Liu, Ziwei Luo, Takahiro Maeda, Julien Mairal, Christian Micheloni, Xuan Mo, Takeru Oba, Pavel Ostyakov, Jean Ponce, Sanghyeok Son, Jian Sun, Norimichi Ukita, Rao Muhammad Umer, Youliang Yan, Lei Yu, Magauiya Zhussip, Xueyi Zou
This paper reviews the NTIRE2021 challenge on burst super-resolution.
no code implementations • 1 Jun 2021 • Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu
Existing dialog state tracking (DST) models are trained with dialog data in a random order, neglecting rich structural information in a dataset.
Ranked #1 on
Multi-domain Dialogue State Tracking
on MULTIWOZ 2.1
(using extra training data)
4 code implementations • 22 May 2021 • Zhen Liu, Wenjie Lin, Xinpeng Li, Qing Rao, Ting Jiang, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu
In this paper, we present an attention-guided deformable convolutional network for hand-held multi-frame high dynamic range (HDR) imaging, namely ADNet.
Ranked #5 on
Face Alignment
on WFW (Extra Data)
1 code implementation • CVPR 2021 • Zhibo Fan, Yuchen Ma, Zeming Li, Jian Sun
Recently few-shot object detection is widely adopted to deal with data-limited situations.
no code implementations • 17 May 2021 • Andrey Ignatov, Kim Byeoung-su, Radu Timofte, Angeline Pouget, Fenglong Song, Cheng Li, Shuai Xiao, Zhongqian Fu, Matteo Maggioni, Yibin Huang, Shen Cheng, Xin Lu, Yifeng Zhou, Liangyu Chen, Donghao Liu, Xiangyu Zhang, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Bin Huang, Tianbao Zhou, Shuai Liu, Lei Lei, Chaoyu Feng, Liguang Huang, Zhikun Lei, Feifei Chen
A detailed description of all models developed in the challenge is provided in this paper.
1 code implementation • 27 Apr 2021 • Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si
Moreover, modeling and inferring complex relations of one-to-many (1-N), many-to-one (N-1), and many-to-many (N-N) by previous knowledge graph completion approaches requires high model complexity and a large amount of training instances.
1 code implementation • CVPR 2021 • Liangyu Chen, Tong Yang, Xiangyu Zhang, Wei zhang, Jian Sun
We propose a novel point annotated setting for the weakly semi-supervised object detection task, in which the dataset comprises small fully annotated images and large weakly annotated images by points.
no code implementations • CVPR 2021 • Yuchen Ma, Songtao Liu, Zeming Li, Jian Sun
We propose a dense object detector with an instance-wise sampling strategy, named IQDet.
no code implementations • 13 Apr 2021 • Thomas Eboli, Jian Sun, Jean Ponce
We address the problem of non-blind deblurring and demosaicking of noisy raw images.
1 code implementation • CVPR 2021 • Songyang Zhang, Zeming Li, Shipeng Yan, Xuming He, Jian Sun
Motivated by our discovery, we propose a unified distribution alignment strategy for long-tail visual recognition.
Ranked #16 on
Long-tail Learning
on Places-LT
2 code implementations • CVPR 2021 • Zheng Ge, Songtao Liu, Zeming Li, Osamu Yoshie, Jian Sun
Recent advances in label assignment in object detection mainly seek to independently define positive/negative training samples for each ground-truth (gt) object.
Ranked #74 on
Object Detection
on COCO test-dev
no code implementations • 22 Mar 2021 • Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen
When both input and output channels are subject to DoS attacks and quantization, the proposed structure is shown able to decouple the encoding schemes for input, output, and estimated output signals.
6 code implementations • CVPR 2021 • Qiang Chen, Yingming Wang, Tong Yang, Xiangyu Zhang, Jian Cheng, Jian Sun
From the perspective of optimization, we introduce an alternative way to address the problem instead of adopting the complex feature pyramids - {\em utilizing only one-level feature for detection}.
Ranked #144 on
Object Detection
on COCO test-dev
1 code implementation • CVPR 2021 • Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu
To balance plasticity and stability of network in continual learning, in this paper, we propose a novel network training algorithm called Adam-NSCL, which sequentially optimizes network parameters in the null space of previous tasks.
1 code implementation • CVPR 2021 • Cheng Zou, Bohan Wang, Yue Hu, Junqi Liu, Qian Wu, Yu Zhao, Boxun Li, Chenguang Zhang, Chi Zhang, Yichen Wei, Jian Sun
We propose HOI Transformer to tackle human object interaction (HOI) detection in an end-to-end manner.
Ranked #22 on
Human-Object Interaction Detection
on HICO-DET
(using extra training data)
no code implementations • 7 Mar 2021 • Binyuan Hui, Xiang Shi, Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu
In this paper, we present the Schema Dependency guided multi-task Text-to-SQL model (SDSQL) to guide the network to effectively capture the interactions between questions and schemas.
3 code implementations • CVPR 2021 • Yisheng He, Haibin Huang, Haoqiang Fan, Qifeng Chen, Jian Sun
Moreover, at the output representation stage, we designed a simple but effective 3D keypoints selection algorithm considering the texture and geometry information of objects, which simplifies keypoint localization for precise pose estimation.
Ranked #1 on
6D Pose Estimation
on LineMOD
no code implementations • 4 Feb 2021 • Manzhu Yu, Fangcao Xu, Weiming Hu, Jian Sun, Guido Cervone
Meanwhile, by using IoT observations, the spatial resolution of air temperature predictions is significantly improved.
1 code implementation • CVPR 2021 • Xuanyang Zhang, Pengfei Hou, Xiangyu Zhang, Jian Sun
In this paper, we investigate a new variant of neural architecture search (NAS) paradigm -- searching with random labels (RLNAS).
1 code implementation • 19 Jan 2021 • Zeming Li, Songtao Liu, Jian Sun
The teacher's weight is a momentum update of the student, and the teacher's BN statistics is a momentum update of those in history.
20 code implementations • CVPR 2021 • Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun
We present a simple but powerful architecture of convolutional neural network, which has a VGG-like inference-time body composed of nothing but a stack of 3x3 convolution and ReLU, while the training-time model has a multi-branch topology.
Ranked #35 on
Semantic Segmentation
on Cityscapes val
2 code implementations • 5 Jan 2021 • Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu
Semantic parsing has long been a fundamental problem in natural language processing.
Ranked #5 on
Dialogue State Tracking
on CoSQL
no code implementations • 1 Jan 2021 • Xiang Gu, Jiasun Feng, Jian Sun, Zongben Xu
In this framework, we model the domain generalization as a learning problem that enforces the learner to be able to generalize well for any train/val subsets splitting of the training dataset.
no code implementations • 25 Dec 2020 • Tiancai Wang, Xiangyu Zhang, Jian Sun
In this paper, we present an implicit feature pyramid network (i-FPN) for object detection.
no code implementations • 13 Dec 2020 • Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai, GuanAn Wang, Yan Huang, Liang Wang, Erjin Zhou, Tieniu Tan, Jian Sun
Instead, we focus on exploiting multi-scale information from layers with different receptive-field sizes and then making full of use this information by improving the fusion method.
1 code implementation • CVPR 2021 • JianFeng Wang, Lin Song, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng
Mainstream object detectors based on the fully convolutional network has achieved impressive performance.
1 code implementation • NeurIPS 2020 • Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng
To this end, we propose a fine-grained dynamic head to conditionally select a pixel-level combination of FPN features from different scales for each instance, which further releases the ability of multi-scale feature representation.
1 code implementation • NeurIPS 2020 • Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Xiangyu Zhang, Hongbin Sun, Jian Sun, Nanning Zheng
The Learnable Tree Filter presents a remarkable approach to model structure-preserving relations for semantic segmentation.
6 code implementations • CVPR 2021 • Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, LiWei Wang, Zeming Li, Jian Sun, Jiaya Jia
In this paper, we present a conceptually simple, strong, and efficient framework for panoptic segmentation, called Panoptic FCN.
Ranked #1 on
Panoptic Segmentation
on Mapillary val
(PQth metric)
no code implementations • COLING 2020 • Jian Sun, Yu Zhou, Chengqing Zong
The hierarchical attention adaptively aggregates the low-hierarchy and the high-hierarchy information, which is beneficial to balance the neighborhood information of counterpart entities and distinguish non-counterpart entities with similar structures.
2 code implementations • CVPR 2021 • Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, Jian Sun
By integrating these two components together, our method achieves the best performance for unsupervised optical flow learning on multiple leading benchmarks, including MPI-SIntel, KITTI 2012 and KITTI 2015.
Ranked #1 on
Optical Flow Estimation
on KITTI 2012 unsupervised
no code implementations • NeurIPS 2020 • Gang Wang, Songtao Lu, Georgios Giannakis, Gerald Tesauro, Jian Sun
The present contribution deals with decentralized policy evaluation in multi-agent Markov decision processes using temporal-difference (TD) methods with linear function approximation for scalability.
no code implementations • 27 Nov 2020 • Songtao Liu, Zeming Li, Jian Sun
Our Faster R-CNN (ResNet50-FPN) baseline achieves 39. 8% mAP on COCO, which is on par with the state of the art self-supervised methods pre-trained on ImageNet.
no code implementations • ECCV 2020 • Ruixuan Yu, Xin Wei, Federico Tombari, Jian Sun
In this work, we propose a novel deep network for point clouds by incorporating positional information of points as inputs while yielding rotation-invariance.
no code implementations • 6 Oct 2020 • Zeming Li, Yuchen Ma, Yukang Chen, Xiangyu Zhang, Jian Sun
In this report, we present our object detection/instance segmentation system, MegDetV2, which works in a two-pass fashion, first to detect instances then to obtain segmentation.
1 code implementation • 5 Oct 2020 • Benjin Zhu, Junqiang Huang, Zeming Li, Xiangyu Zhang, Jian Sun
In this paper, we propose EqCo (Equivalent Rules for Contrastive Learning) to make self-supervised learning irrelevant to the number of negative samples in the contrastive learning framework.
4 code implementations • CVPR 2021 • Ningning Ma, Xiangyu Zhang, Ming Liu, Jian Sun
We present a simple, effective, and general activation function we term ACON which learns to activate the neurons or not.
no code implementations • 28 Jul 2020 • Jie Huang, Cheng-Xiang Wang, Hengtai Chang, Jian Sun, Xiqi Gao
Millimeter wave (mmWave) bands have been utilized for the fifth generation (5G) communication systems and will no doubt continue to be deployed for beyond 5G (B5G).
no code implementations • 28 Jul 2020 • Yunzeng Li, Wensheng Zhang, Cheng-Xiang Wang, Jian Sun, Yu Liu
Then, the vacant channels in the selected segment will be aggregated for satisfying the user requirement.
no code implementations • 28 Jul 2020 • Qingshan Chen, Cheng-Xiang Wang, Jian Sun, Wensheng Zhang, Qiuming Zhu
The study of the underlying VLC channel is the basis for designing the VLC communication system.
no code implementations • 26 Jul 2020 • Bin Fu, Yunqi Qiu, Chengguang Tang, Yang Li, Haiyang Yu, Jian Sun
Question Answering (QA) over Knowledge Base (KB) aims to automatically answer natural language questions via well-structured relation information between entities stored in knowledge bases.
2 code implementations • ECCV 2020 • Ningning Ma, Xiangyu Zhang, Jiawei Huang, Jian Sun
WeightNet is easy and memory-conserving to train, on the kernel space instead of the feature space.
6 code implementations • ECCV 2020 • Ningning Ma, Xiangyu Zhang, Jian Sun
We present a conceptually simple but effective funnel activation for image recognition tasks, called Funnel activation (FReLU), that extends ReLU and PReLU to a 2D activation by adding a negligible overhead of spatial condition.
2 code implementations • ECCV 2020 • Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, Jian Sun
In this paper, We propose a simple and efficient operator called Border-Align to extract "border features" from the extreme point of the border to enhance the point feature.
no code implementations • 17 Jul 2020 • Mehmet Ekmekci, Leandro Gorno, Lucas Maestri, Jian Sun, Dong Wei
The principal learns about the agent's type from a noisy performance measure, which can be manipulated by the agent via a costly and hidden action.
1 code implementation • ECCV 2020 • Miao Hao, Yitao Liu, Xiangyu Zhang, Jian Sun
In this paper we propose a new intermediate supervision method, named LabelEnc, to boost the training of object detection systems.
2 code implementations • 7 Jul 2020 • Benjin Zhu, Jian-Feng Wang, Zhengkai Jiang, Fuhang Zong, Songtao Liu, Zeming Li, Jian Sun
During training, to both satisfy the prior distribution of data and adapt to category characteristics, we present Center Weighting to adjust the category-specific prior distributions.
1 code implementation • ECCV 2020 • Thomas Eboli, Jian Sun, Jean Ponce
Non-blind image deblurring is typically formulated as a linear least-squares problem regularized by natural priors on the corresponding sharp picture's gradients, which can be solved, for example, using a half-quadratic splitting method with Richardson fixed-point iterations for its least-squares updates and a proximal operator for the auxiliary variable updates.
no code implementations • ACL 2020 • Yinpei Dai, Hangyu Li, Chengguang Tang, Yongbin Li, Jian Sun, Xiaodan Zhu
Existing end-to-end dialog systems perform less effectively when data is scarce.
no code implementations • 16 Jun 2020 • Qingtao Zhao, Jennie Si, Jian Sun
In this paper time-driven learning refers to the machine learning method that updates parameters in a prediction model continuously as new data arrives.
no code implementations • 16 Jun 2020 • Thomas Eboli, Alex Nowak-Vila, Jian Sun, Francis Bach, Jean Ponce, Alessandro Rudi
We present a novel approach to image restoration that leverages ideas from localized structured prediction and non-linear multi-task learning.
no code implementations • 15 Jun 2020 • Ruosi Wan, Zhanxing Zhu, Xiangyu Zhang, Jian Sun
In this work, we comprehensively reveal the learning dynamics of neural network with normalization, weight decay (WD), and SGD (with momentum), named as Spherical Motion Dynamics (SMD).
no code implementations • 18 May 2020 • Zechun Liu, Xiangyu Zhang, Zhiqiang Shen, Zhe Li, Yichen Wei, Kwang-Ting Cheng, Jian Sun
To tackle these three naturally different dimensions, we proposed a general framework by defining pruning as seeking the best pruning vector (i. e., the numerical value of layer-wise channel number, spacial size, depth) and construct a unique mapping from the pruning vector to the pruned network structures.
no code implementations • ACL 2020 • Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu
This paper proposes Dynamic Memory Induction Networks (DMIN) for few-shot text classification.
no code implementations • 5 May 2020 • Yinpei Dai, Huihua Yu, Yixuan Jiang, Chengguang Tang, Yongbin Li, Jian Sun
Dialog management (DM) is a crucial component in a task-oriented dialog system.
1 code implementation • ECCV 2020 • Yiming Hu, Yuding Liang, Zichao Guo, Ruosi Wan, Xiangyu Zhang, Yichen Wei, Qingyi Gu, Jian Sun
Comprehensive experiments show that ABS can dramatically enhance existing NAS approaches by providing a promising shrunk search space.
4 code implementations • 26 Apr 2020 • Yukang Chen, Peizhen Zhang, Zeming Li, Yanwei Li, Xiangyu Zhang, Lu Qi, Jian Sun, Jiaya Jia
We propose a Dynamic Scale Training paradigm (abbreviated as DST) to mitigate scale variation challenge in object detection.
1 code implementation • CVPR 2020 • Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia
Traditional convolution-based generative adversarial networks synthesize images based on hierarchical local operations, where long-range dependency relation is implicitly modeled with a Markov chain.
1 code implementation • CVPR 2020 • Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun
Human-object interaction (HOI) detection strives to localize both the human and an object as well as the identification of complex interactions between them.
no code implementations • CVPR 2021 • Jin Chen, Xijun Wang, Zichao Guo, Xiangyu Zhang, Jian Sun
More gracefully, our DRConv transfers the increasing channel-wise filters to spatial dimension with learnable instructor, which not only improve representation ability of convolution, but also maintains computational cost and the translation-invariance as standard convolution dose.
Ranked #4 on
Semantic Segmentation
on MCubeS
1 code implementation • CVPR 2020 • Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, Jian Sun
To demonstrate the superiority of the dynamic property, we compare with several static architectures, which can be modeled as special cases in the routing space.
3 code implementations • CVPR 2020 • Xuangeng Chu, Anlin Zheng, Xiangyu Zhang, Jian Sun
We propose a simple yet effective proposal-based object detector, aiming at detecting highly-overlapped instances in crowded scenes.
Ranked #2 on
Pedestrian Detection
on TJU-Ped-traffic
2 code implementations • CVPR 2020 • Guan'an Wang, Shuo Yang, Huanyu Liu, Zhicheng Wang, Yang Yang, Shuliang Wang, Gang Yu, Erjin Zhou, Jian Sun
When aligning two groups of local features from two images, we view it as a graph matching problem and propose a cross-graph embedded-alignment (CGEA) layer to jointly learn and embed topology information to local features, and straightly predict similarity score.
no code implementations • 13 Mar 2020 • Lu Qi, Yi Wang, Yukang Chen, Yingcong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia
In this paper, we explore the mask representation in instance segmentation with Point-of-Interest (PoI) features.
4 code implementations • ECCV 2020 • Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xiangyu Zhang, Xinyu Zhou, Erjin Zhou, Jian Sun
To tackle this problem, we propose an efficient attention mechanism - Pose Refine Machine (PRM) to make a trade-off between local and global representations in output features and further refine the keypoint locations.
Ranked #1 on
Keypoint Detection
on COCO
no code implementations • 3 Mar 2020 • Qiuling Yang, Alireza Sadeghi, Gang Wang, Georgios B. Giannakis, Jian Sun
Numerical tests using real load data on the IEEE $118$-bus benchmark system showcase the improved estimation and robustness performance of the proposed scheme compared with several state-of-the-art alternatives.
no code implementations • 28 Feb 2020 • Jie Huang, Cheng-Xiang Wang, Lu Bai, Jian Sun, Yang Yang, Jie Li, Olav Tirkkonen, Ming-Tuo Zhou
This paper investigates various applications of big data analytics, especially machine learning algorithms in wireless communications and channel modeling.
no code implementations • 4 Feb 2020 • Shenglin Peng, Wenchen Luo, Jian Sun, Ai-Min Guo, Fangping Ouyang, Tapash Chakraborty
Here we propose an isotropic all electrical spin analyzer in a quantum ring with spin-orbit coupling by analytically and numerically modeling how the charge transmission rates depend on the polarization of the incident spin.
Mesoscale and Nanoscale Physics
1 code implementation • ICLR 2020 • Junjie Yan, Ruosi Wan, Xiangyu Zhang, Wei zhang, Yichen Wei, Jian Sun
Therefore many modified normalization techniques have been proposed, which either fail to restore the performance of BN completely, or have to introduce additional nonlinear operations in inference procedure and increase huge consumption.
no code implementations • ICLR 2020 • Haotian Zhang, Jian Sun, Zongben Xu
Bayesian optimization is an effective tool to optimize black-box functions and popular for hyper-parameter tuning in machine learning.
no code implementations • NeurIPS 2019 • Jian Sun, Zongben Xu
To compute high-resolution diffusion distance or segmentation mask, we design an up-sampling strategy by feature-attentional interpolation which can be learned when training spec-diff-net.
Image Segmentation
Weakly supervised Semantic Segmentation
+1