no code implementations • WMT (EMNLP) 2020 • Calvin Bao, Yow-Ting Shiue, Chujun Song, Jie Li, Marine Carpuat
This paper describes the University of Maryland’s submissions to the WMT20 Shared Task on Chat Translation.
no code implementations • ECCV 2020 • Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao
Lighter model and faster inference are the focus of current single image super-resolution (SISR) research.
no code implementations • 25 Mar 2024 • Laiyan Ding, Panwen Hu, Jie Li, Rui Huang
To address this RGB-TSDF distribution difference, we propose a two-stage network with a 3D RGB feature completion module that completes RGB features with meaningful values for occluded areas.
1 code implementation • 19 Mar 2024 • Wenjun Zou, Yao Lyu, Jie Li, Yujie Yang, Shengbo Eben Li, Jingliang Duan, Xianyuan Zhan, Jingjing Liu, Yaqin Zhang, Keqiang Li
Safe reinforcement learning (RL) offers advanced solutions to constrained optimal control problems.
no code implementations • 14 Mar 2024 • Jie Li, Jiaying Wen, Tongxin Yang, Fenglin Cai, Miao Wei, Zhiwei Zhang, Li Jiang
In this paper, we introduce a new dataset in the medical field of Traumatic Brain Injury (TBI), called TBI-IT, which includes both electronic medical records (EMRs) and head CT images.
no code implementations • 27 Feb 2024 • Haojun Jiang, Jiawei Sun, Jie Li, Chentao Wu
Graph representation learning (GRL) makes considerable progress recently, which encodes graphs with topological structures into low-dimensional embeddings.
no code implementations • 22 Feb 2024 • Zhaoyang Wang, Bo Hu, Mingyang Zhang, Jie Li, Leida Li, Maoguo Gong, Xinbo Gao
Firstly, we devise a new diffusion restoration network that leverages the produced enhanced image and noise-containing images, incorporating nonlinear features obtained during the denoising process of the diffusion model, as high-level visual information.
no code implementations • 20 Feb 2024 • Angus Yang, Zehan Li, Jie Li
Our GenAI Coding Workshop highlights the effectiveness and accessibility of the prompting methodology developed in this study.
no code implementations • 3 Feb 2024 • Lu Chen, Shaofeng Li, Benhao Huang, Fan Yang, Zheng Li, Jie Li, Yuan Luo
In the context of deep neural networks, we expose the existence of a harmless perturbation space, where perturbations leave the network output entirely unaltered.
no code implementations • 30 Jan 2024 • Jie Li, Yi Liu, Chongyang Liu, Ling Shi, Xiaoning Ren, Yaowen Zheng, Yang Liu, Yinxing Xue
To address this research gap, we conducted an extensive empirical study on Multilingual Jailbreak attacks.
1 code implementation • 29 Jan 2024 • Jie Li, Yulong Xia, Tongxin Yang, Fenglin Cai, Miao Wei, Zhiwei Zhang, Li Jiang
Index Terms-HICH, Deep learning, Intraparenchymal hemorrhage, named entity recognition, novel dataset
no code implementations • 5 Jan 2024 • Song Bai, Jie Li
Since the year 2023 an abundant amount of research papers has emerged in the domain of 3D generation.
no code implementations • 28 Dec 2023 • Yuhang Zhang, Yuang Deng, Xiaopeng Zhang, Jie Li, Robert C. Qiu, Qi Tian
In DeLR, the query is based on region-level, and we only annotate the object region that is queried; 2) Instead of directly providing both localization and recognition annotations, we separately query the two components, and thus reduce the recognition budget with the pseudo class labels provided by the model.
1 code implementation • 17 Dec 2023 • Guang Yang, Jie Li, Xinbo Gao
Specifically, we introduce a Spatial-Frequency Fusion Block to facilitate efficient interaction between dual domains and capture complementary information from input images with different exposures.
no code implementations • 14 Dec 2023 • Yan Gao, Haojun Xu, Nannan Wang, Jie Li, Xinbo Gao
In addition to the previous method of treating objects as nodes, the network innovatively treats object trajectories as nodes for information interaction, improving the graph neural network's feature representation capability.
1 code implementation • 7 Dec 2023 • Guang Yang, Jie Li, Hanxiao Lei, Xinbo Gao
In this study, we propose a multi-scale dual attention (MDA) framework for infrared and visible image fusion, which is designed to measure and integrate complementary information in both structure and loss function at the image and patch level.
no code implementations • 5 Dec 2023 • Guozhang Li, Xinpeng Ding, De Cheng, Jie Li, Nannan Wang, Xinbo Gao
To further clarify the noise of expanded boundaries, we combine mutual learning with a tailored proposal-level contrastive objective to use a learnable approach to harmonize a balance between incomplete yet clean (initial) and comprehensive yet noisy (expanded) boundaries for more precise ones.
no code implementations • 28 Nov 2023 • Jie Li, Zhixin Li, Zhi Liu, Pengyuan Zhou, Richang Hong, Qiyue Li, Han Hu
To our knowledge, this is the first comprehensive study of viewport prediction in volumetric video streaming.
no code implementations • 20 Nov 2023 • Yating Chen, Cai Wen, Yan Huang, Le Liang, Jie Li, HUI ZHANG, Wei Hong
In this paper, we formulate the precoding problem of integrated sensing and communication (ISAC) waveform as a non-convex quadratically constrainted quadratic program (QCQP), in which the weighted sum of communication multi-user interference (MUI) and the gap between dual-use waveform and ideal radar waveform is minimized with peak-to-average power ratio (PAPR) constraints.
no code implementations • 9 Nov 2023 • Yuxin Zhu, Xilei Zhu, Huiyu Duan, Jie Li, Kaiwei Zhang, Yucheng Zhu, Li Chen, Xiongkuo Min, Guangtao Zhai
Visual saliency prediction for omnidirectional videos (ODVs) has shown great significance and necessity for omnidirectional videos to help ODV coding, ODV transmission, ODV rendering, etc..
1 code implementation • 8 Nov 2023 • Zhanbo Feng, Yuanjie Wang, Jie Li, Fan Yang, Jiong Lou, Tiebin Mi, Robert. C. Qiu, Zhenyu Liao
As a result, there is a growing trend to leverage federated learning (FL) techniques to train large ML models in a distributed and collaborative manner.
1 code implementation • 7 Nov 2023 • Katie Z Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q Weinberger, Yue Wang, Marco Pavone
We propose a novel framework to integrate SD maps into online map prediction and propose a Transformer-based encoder, SD Map Encoder Representations from transFormers, to leverage priors in SD maps for the lane-topology prediction task.
no code implementations • 29 Oct 2023 • Jingliang Duan, Jie Li, Xuyang Chen, Kai Zhao, Shengbo Eben Li, Lin Zhao
Despite the absence of convexity, we leverage these properties to derive novel findings regarding convergence (and nearly dimension-free rate) to stationary points for three policy gradient methods, including the vanilla policy gradient method, the natural policy gradient method, and the Gauss-Newton method.
no code implementations • 11 Oct 2023 • Zeyang Li, Chuxiong Hu, Yunan Wang, Guojian Zhan, Jie Li, Shengbo Eben Li
We also show that a modified version of regularized policy iteration, i. e., with finite-step policy evaluation, is equivalent to inexact Newton method where the Newton iteration formula is solved with truncated iterations.
no code implementations • 26 Sep 2023 • Jie Li, Hancheng Cao, Laura Lin, Youyang Hou, Ruihao Zhu, Abdallah El Ali
They emphasized the unique human factors of "enjoyment" and "agency", where humans remain the arbiters of "AI alignment".
no code implementations • 18 Sep 2023 • Jie Li, Jiawei Wang, Shengbo Eben Li, Keqiang Li
Connected and automated vehicles (CAVs) technologies promise to attenuate undesired traffic disturbances.
no code implementations • 7 Sep 2023 • Li Li, Qingqing Li, Guozheng Xu, Pengwei Zhou, Jingmin Tu, Jie Li, Jian Yao
We design a three-branch network to predict semantic labels, point offsets and extract deep embedding features.
no code implementations • 30 Aug 2023 • Zhanbo Feng, Zenan Ling, Ci Gong, Feng Zhou, Jie Li, Robert C. Qiu
Existing works tend to use either image-guided methods, which provide a visual reference but lack control over semantic coherence, or text-guided methods, which ensure faithfulness to text guidance but lack visual quality.
no code implementations • 29 Aug 2023 • Lei Han, Qingxu Zhu, Jiapeng Sheng, Chong Zhang, Tingguang Li, Yizheng Zhang, He Zhang, Yuzhen Liu, Cheng Zhou, Rui Zhao, Jie Li, Yufeng Zhang, Rui Wang, Wanchao Chi, Xiong Li, Yonghui Zhu, Lingzhu Xiang, Xiao Teng, Zhengyou Zhang
In this work, we propose a framework for driving legged robots act like real animals with lifelike agility and strategy in complex environments.
no code implementations • 20 Aug 2023 • Shuman Fang, Zhiwen Lin, Ke Yan, Jie Li, Xianming Lin, Rongrong Ji
However, these methods ignore the relationship among humans, objects, and interactions: 1) human features are more contributive than object ones to interaction prediction; 2) interactive information disturbs the detection of objects but helps human detection.
no code implementations • 16 Aug 2023 • Mengjie Du, Xiang Fang, Jie Li
This technical report describes ChinaTelecom system for Track 1 (closed) of the VoxCeleb2023 Speaker Recognition Challenge (VoxSRC 2023).
no code implementations • 4 Aug 2023 • Shuman Fang, Shuai Liu, Jie Li, Guannan Jiang, Xianming Lin, Rongrong Ji
Human-Object Interaction (HOI) detection aims to understand the interactions between humans and objects, which plays a curtail role in high-level semantic understanding tasks.
no code implementations • 31 Jul 2023 • Hao Lin, Ke wu, Jie Li, Jun Li, Wu-Jun Li
To the best of our knowledge, UniAP is the first parallel method that can jointly optimize the two categories of parallel strategies to find an optimal solution.
no code implementations • 20 Jul 2023 • Zongmin Liu, Jirui Wang, Jie Li, Zufeng Li, Kai Ren, Peng Shi
Furthermore, a detection-grasping integrated algorithm based on box coordinate matching (DG-BCM) is proposed to obtain the fusion model of object detection and grasp estimation.
no code implementations • 6 Jul 2023 • Ruiyang Xia, Decheng Liu, Jie Li, Lin Yuan, Nannan Wang, Xinbo Gao
Advanced manipulation techniques have provided criminals with opportunities to make social panic or gain illicit profits through the generation of deceptive media, such as forged face images.
no code implementations • 28 Jun 2023 • Feng Xu, Shuxiang Zhang, Linjie Ma, Yong Hou, Jie Li, Andrej Denisenko, Zifu Li, Joachim Spatz, Jörg Wrachtrup, Qiang Wei, Zhiqin Chu
The constant interplay and information exchange between cells and their micro-environment are essential to their survival and ability to execute biological functions.
no code implementations • 14 Jun 2023 • Zhusi Zhong, Jie Li, Lulu Bi, Li Yang, Ihab Kamel, Rama Chellappa, Xinbo Gao, Harrison Bai, Zhicheng Jiao
Medical image segmentation based on deep learning often fails when deployed on images from a different domain.
no code implementations • 13 Jun 2023 • Bowen Li, Hanlin Gu, Ruoxin Chen, Jie Li, Chentao Wu, Na Ruan, Xueming Si, Lixin Fan
We investigate a Temporal Gradient Inversion Attack with a Robust Optimization framework, called TGIAs-RO, which recovers private data without any prior knowledge by leveraging multiple temporal gradients.
1 code implementation • 21 May 2023 • Haojun Xu, Yan Gao, Zheng Hui, Jie Li, Xinbo Gao
Also, humans have brain regions dedicated to understanding the minds of others and analyzing their intentions, such as the medial prefrontal cortex of the temporal lobe.
Ranked #2 on Skeleton Based Action Recognition on NTU RGB+D 120 (using extra training data)
1 code implementation • CVPR 2023 • Basile Van Hoorick, Pavel Tokmakov, Simon Stent, Jie Li, Carl Vondrick
Tracking objects with persistence in cluttered and dynamic environments remains a difficult challenge for computer vision systems.
1 code implementation • 25 Apr 2023 • Guozhang Li, De Cheng, Xinpeng Ding, Nannan Wang, Jie Li, Xinbo Gao
The proposed Bi-SCC firstly adopts a temporal context augmentation to generate an augmented video that breaks the correlation between positive actions and their co-scene actions in the inter-video; Then, a semantic consistency constraint (SCC) is used to enforce the predictions of the original video and augmented video to be consistent, hence suppressing the co-scene actions.
Weakly-supervised Temporal Action Localization Weakly Supervised Temporal Action Localization
no code implementations • 7 Apr 2023 • Yalu Wang, Zhijie Han, Jie Li, Xin He
To address the above issue, this paper proposes a graph neural network algorithm based on behavior similarity (BS-GAT) using graph attention network.
no code implementations • 5 Apr 2023 • Kai Han, Yandong Li, Sagar Vaze, Jie Li, Xuhui Jia
In this paper, we reconsider the recognition problem and task a vision-language model to assign class names to images given only a large and essentially unconstrained vocabulary of categories as prior information.
no code implementations • 26 Mar 2023 • Yukang Zhang, Yan Yan, Jie Li, Hanzi Wang
Furthermore, to better disentangle the modality-relevant features and the modality-irrelevant features, we propose a novel Center-Quadruplet Causal (CQC) loss to encourage the network to effectively learn the modality-relevant features and the modality-irrelevant features.
1 code implementation • CVPR 2023 • Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
We design view-conditioned queries at the output level, which enables the generation of multiple virtual frames during training to learn viewpoint equivariance by enforcing multi-view consistency.
no code implementations • 15 Feb 2023 • Shijing Yuan, Hongze Liu, Hongtao Lv, Zhanbo Feng, Jie Li, Hongyang Chen, Chentao Wu
To overcome these limitations, we propose a novel adaptive mechanism for cross-silo FL, towards incentivizing organizations to contribute data to maximize their long-term payoffs in a real dynamic training environment.
1 code implementation • CVPR 2023 • Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang
It emphasizes spatio-temporal continuity and integrates both past and future reasoning for tracked objects.
no code implementations • 2 Feb 2023 • Jinjiang Guo, Jie Li
Most existing methodologies utilize either biomedical network information or molecule structural features to predict potential interaction link.
no code implementations • 8 Jan 2023 • Fengping Wang, Jie Li, Chun Qi, Lin Wang, Pan Wang
A micro-expression is a spontaneous unconscious facial muscle movement that can reveal the true emotions people attempt to hide.
no code implementations • 7 Jan 2023 • Zongmin Liu, Jirui Wang, Jie Li, Pengda Liu, Kai Ren
However, indoor scenes are usually complex and there are many types of interference factors, leading to great challenges in the multiple targets detection.
no code implementations • CVPR 2023 • Pavel Tokmakov, Jie Li, Adrien Gaidon
Yet, this important phenomenon is largely absent from existing video object segmentation (VOS) benchmarks.
no code implementations • 8 Nov 2022 • Tara Sadjadpour, Jie Li, Rares Ambrus, Jeannette Bohg
To address these issues in a unified framework, we propose to learn shape and spatio-temporal affinities between tracks and detections in consecutive frames.
1 code implementation • 7 Nov 2022 • Jie Li, Paul Fearnhead, Piotr Fryzlewicz, Tengyao Wang
We show how to automatically generate new offline detection methods based on training a neural network.
no code implementations • 27 Oct 2022 • Pan Wang, Jie Li, Jieru Chen, Lin Wang, Chun Qi
To take full exploration of the constraints between spectra, the coefficients corresponding to the convolution kernel are constrained by the L_(2, 1)norm to improve spectral accuracy.
no code implementations • 5 Oct 2022 • Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
Our methods leverage commonly available LiDAR or RGB videos during training time to fine-tune the depth representation, which leads to improved 3D detectors.
no code implementations • 21 Sep 2022 • Han Xu, Zheming Zuo, Jie Li, Victor Chang
Situating at the core of Artificial Intelligence (AI), Machine Learning (ML), and more specifically, Deep Learning (DL) have embraced great success in the past two decades.
no code implementations • 17 Sep 2022 • Ye Bai, Jie Li, Wenjing Han, Hao Ni, Kaituo Xu, Zhuo Zhang, Cheng Yi, Xiaorui Wang
Experimental results show that the proposed model achieves competitive performance with 1/3 of the parameters of the encoder, compared with the full-parameter model.
no code implementations • 25 Jul 2022 • Jingyuan Yang, Jie Li, Leida Li, Xiumei Wang, Yuxuan Ding, Xinbo Gao
In psychology, the \textit{Object-Appraisal-Emotion} model has demonstrated that each individual's emotion is affected by his/her subjective appraisal, which is further formed by the affective memory.
no code implementations • 12 Jul 2022 • Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J Guibas
In this work, we develop a holistic representation of traffic scenes that leverages both spatial and temporal information of the actors in the scene.
1 code implementation • 12 Jul 2022 • Decheng Liu, Weijie He, Chunlei Peng, Nannan Wang, Jie Li, Xinbo Gao
The multiple branches transformer is employed to explore the inter-correlation between different attributes in similar semantic regions for attribute feature learning.
1 code implementation • 3 Jul 2022 • Chang Sun, Zili Wang, Shuyou Zhang, Taotao Zhou, Jie Li, Jianrong Tan
To address this issue, a digital-twin-enhanced (DT-enhanced) metal tube bending forming real-time prediction method based on multi-source-input multi-task learning (MTL) is proposed.
1 code implementation • 16 Jun 2022 • Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki
Building 3D perception systems for autonomous vehicles that do not rely on high-density LiDAR is a critical research problem because of the expense of LiDAR systems compared to cameras and other sensors.
Autonomous Vehicles Bird's-Eye View Semantic Segmentation +1
no code implementations • 7 Jun 2022 • Yifei Sun, Jie Li, Tong Zhang, Rui Wang, Xiaohui Peng, Tony Xiao Han, Haisheng Tan
At the end, we show that the reconstructed room layout can be utilized to locate a mobile device according to its AoA spectrum, even with single access point.
1 code implementation • Proceedings of the ACM Web Conference 2022 • Jie Li, Yongli Ren, Ke Deng
To fill this gap, we propose a Generative Adversarial Networks (GANs) based learning algorithm FairGAN mapping the exposure fairness issue to the problem of negative preferences in implicit feedback data.
1 code implementation • 4 Apr 2022 • Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon
This paper proposes a self-supervised objective for learning representations that localize objects under occlusion - a property known as object permanence.
no code implementations • 28 Mar 2022 • Jie Li, Chao Yu, Yan Luo, Yifei Sun, Rui Wang
Relying on the passive sensing system, a dataset of received signals, where three types of hand gestures are sensed, is collected by using Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) paths as the reference channel respectively.
no code implementations • 24 Mar 2022 • Jiawei Sun, Ruoxin Chen, Jie Li, Chentao Wu, Yue Ding, Junchi Yan
Graph Contrastive Learning (GCL) has shown promising performance in graph representation learning (GRL) without the supervision of manual annotations.
1 code implementation • 29 Jan 2022 • Jie Li, Ling Han, Cong Zhang, Qiyue Li, Zhi Liu
Most of the current prediction methods combining saliency detection and FoV information neither take into account that the distortion of projected 360-degree videos can invalidate the weight sharing of traditional convolutional networks, nor do they adequately consider the difficulty of obtaining complete multi-user FoV information, which degrades the prediction performance.
no code implementations • CVPR 2022 • Yuhang Zhang, Xiaopeng Zhang, Lingxi Xie, Jie Li, Robert C. Qiu, Hengtong Hu, Qi Tian
The Yes query is treated as positive pairs of the queried category for contrastive pulling, while the No query is treated as hard negative pairs for contrastive repelling.
1 code implementation • 10 Dec 2021 • Shuman Fang, Jie Li, Xianming Lin, Rongrong Ji
By treating the attack of both specific data and a modified model as a task, we expect the adversarial perturbations to adopt enough tasks for generalization.
1 code implementation • 8 Dec 2021 • Qi Song, Jie Li, Chenghong Li, Hao Guo, Rui Huang
Recent non-local self-attention methods have proven to be effective in capturing long-range dependencies for semantic segmentation.
1 code implementation • 4 Dec 2021 • Feng Xu, Chuang Zhu, Wenqi Tang, Ying Wang, Yu Zhang, Jie Li, Hongchuan Jiang, Zhongyue Shi, Jun Liu, Mulan Jin
Conclusion: Our study provides a novel DL-based biomarker on primary tumor CNB slides to predict the metastatic status of ALN preoperatively for patients with EBC.
1 code implementation • 16 Nov 2021 • Yuanfei Huang, Jie Li, Yanting Hu, Xinbo Gao, Hua Huang
Recently, deep-learning-based super-resolution methods have achieved excellent performances, but mainly focus on training a single generalized deep network by feeding numerous samples.
no code implementations • 27 Oct 2021 • Qi Song, Jie Li, Hao Guo, Rui Huang
Without any external training data, our proposed Denoised NL can achieve the state-of-the-art performance of 83. 5\% and 46. 69\% mIoU on Cityscapes and ADE20K, respectively.
no code implementations • 25 Oct 2021 • Dehao Huang, Jintao Cheng, Rui Fan, Zhihao Su, Qiongxiong Ma, Jie Li
Therefore, it is crucial to study a robust bone marrow cell detection algorithm for a quantitative automatic analysis system.
no code implementations • 5 Oct 2021 • Jie Li, Oufan Zhang, Yingze Wang, Kunyang Sun, Xingyi Guan, Dorian Bagni, Mojtaba Haghighatlari, Fiona L. Kearns, Conor Parks, Rommie E. Amaro, Teresa Head-Gordon
The viability of a new drug molecule is a time and resource intensive task that makes computer-aided assessments a vital approach to rapid drug discovery.
1 code implementation • 27 Sep 2021 • Bowen Li, Lixin Fan, Hanlin Gu, Jie Li, Qiang Yang
To address these risks, the ownership verification of federated learning models is a prerequisite that protects federated learning model intellectual property rights (IPR) i. e., FedIPR.
no code implementations • 6 Sep 2021 • Qiuming Zhu, Fei Bai, Minghui Pang, Jie Li, Weizhi Zhong, Xiaomin Chen, Kai Mao
Line-of-sight (LoS) path is essential for the reliability of air-to-ground (A2G) communications, but the existence of LoS path is difficult to predict due to random obstacles on the ground.
no code implementations • 4 Sep 2021 • Jingyuan Yang, Jie Li, Xiumei Wang, Yuxuan Ding, Xinbo Gao
Then, we design three specific networks, i. e., Global-Net, Semantic-Net and Expression-Net, to extract distinct emotional features from different stimuli simultaneously.
no code implementations • 1 Sep 2021 • Menghui Jiang, Huanfeng Shen, Jie Li, Liangpei Zhang
Images from many remote sensing satellites, including MODIS, Landsat-8, Sentinel-1, and Sentinel-2, are utilized in the experiments.
no code implementations • ICCV 2021 • Zhijian Liu, Simon Stent, Jie Li, John Gideon, Song Han
Computer vision tasks such as object detection and semantic/instance segmentation rely on the painstaking annotation of large training datasets.
no code implementations • 13 Aug 2021 • Huanfeng Shen, Menghui Jiang, Jie Li, Chenxia Zhou, Qiangqiang Yuan, Liangpei Zhang
In this paper, we systematically investigate the coupling of model-driven and data-driven methods, which has rarely been considered in the remote sensing image restoration and fusion communities.
2 code implementations • ICCV 2021 • Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
Recent progress in 3D object detection from single images leverages monocular depth estimation as a way to produce 3D pointclouds, turning cameras into pseudo-lidar sensors.
Ranked #1 on Monocular 3D Object Detection on KITTI Pedestrian Moderate (using extra training data)
no code implementations • 31 Jul 2021 • Fengping Wang, Jie Li, Siqi Zhang, Chun Qi, Yun Zhang, Danmin Miao
Micro-expressions are spontaneous, unconscious facial movements that show people's true inner emotions and have great potential in related fields of psychological testing.
no code implementations • 27 Jul 2021 • Jie Li, Sheng Zhang, Kai Han, Xia Yuan, Chunxia Zhao, Yu Liu
UGV-KPNet is computationally efficient with a small number of parameters and provides pixel-level accurate keypoints detection results in real-time.
no code implementations • 21 Jul 2021 • Taichu Shi, Yang Qi, Weipeng Zhang, Paul R. Prucnal, Jie Li, Ben Wu
The ultra-fast optical pulse functions as a tweezer that collects samples of the signals at very low sampling rates, and each sample is short enough to maintain the statistical properties of the signals.
no code implementations • 20 Jul 2021 • Guoliang Li, Shuai Wang, Jie Li, Rui Wang, Fan Liu, Xiaohui Peng, Tony Xiao Han, Chengzhong Xu
Characterizing the sensing and communication performance tradeoff in integrated sensing and communication (ISAC) systems is challenging in the applications of learning-based human motion recognition.
no code implementations • 18 Jul 2021 • Liupeng Lin, Jie Li, Huanfeng Shen, Lingli Zhao, Qiangqiang Yuan, Xinghua Li
The data fusion technology aims to aggregate the characteristics of different data and obtain products with multiple data advantages.
no code implementations • 29 Jun 2021 • Jie Li, Laiyan Ding, Rui Huang
3D semantic scene completion and 2D semantic segmentation are two tightly correlated tasks that are both essential for indoor scene understanding, because they predict the same semantic classes, using positively correlated high-level features.
no code implementations • CVPR 2021 • Jingyuan Yang, Jie Li, Leida Li, Xiumei Wang, Xinbo Gao
Visual Emotion Analysis (VEA) has attracted increasing attention recently with the prevalence of sharing images on social networks.
no code implementations • CVPR 2021 • Jingfan Guo, Jie Li, Rahul Narain, Hyun Soo Park
Inspired by the theory of optimal control, we optimize the body states such that the simulated cloth motion is matched to the point cloud measurements, and the analytic gradient of the simulator is back-propagated to update the body states.
no code implementations • CVPR 2021 • Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon
We use a hierarchical Lovasz hinge loss to learn a low-dimensional embedding space structured into a unified semantic and instance hierarchy without requiring separate network branches or object proposals.
no code implementations • CVPR 2021 • Zheng Hui, Jie Li, Xiumei Wang, Xinbo Gao
Instead of considering iterative strategy, we make the blur kernel predictor trainable in the whole blind SR model, in which AMNet is well-trained.
2 code implementations • 19 Jun 2021 • Jie Li, Lizhong Yao
In this paper, we introduce a new acoustic leakage dataset of gas pipelines, called as GPLA-12, which has 12 categories over 684 training/testing acoustic signals.
no code implementations • 8 Jun 2021 • Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon
We use a hierarchical Lov\'asz hinge loss to learn a low-dimensional embedding space structured into a unified semantic and instance hierarchy without requiring separate network branches or object proposals.
no code implementations • 16 May 2021 • Yuhang Zhang, Xiaopeng Zhang, Robert. C. Qiu, Jie Li, Haohang Xu, Qi Tian
Semi-supervised learning acts as an effective way to leverage massive unlabeled data.
no code implementations • NeurIPS 2021 • Yixu Wang, Jie Li, Hong Liu, Yan Wang, Yongjian Wu, Feiyue Huang, Rongrong Ji
We argue this is due to the lack of rich information in the probability prediction and the overfitting caused by hard labels.
no code implementations • 24 Apr 2021 • Peng Xie, Wenyuan Tao, Jie Li, Wentao Huang, Siming Chen
The core of the approach is a subset embedding network (SEN) that represents a group of subsets as uniformly-formatted embeddings.
no code implementations • 21 Apr 2021 • Guoliang Li, Shuai Wang, Jie Li, Rui Wang, Xiaohui Peng, Tony Xiao Han
Although wireless channel models can be adopted for dataset generation, current channel models are mostly designed for communication rather than sensing.
2 code implementations • CVPR 2021 • Tianwei Lin, Zhuoqi Ma, Fu Li, Dongliang He, Xin Li, Errui Ding, Nannan Wang, Jie Li, Xinbo Gao
Inspired by the common painting process of drawing a draft and revising the details, we introduce a novel feed-forward method named Laplacian Pyramid Network (LapStyle).
no code implementations • ICCV 2021 • Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
Simulators can efficiently generate large amounts of labeled synthetic data with perfect supervision for hard-to-label tasks like semantic segmentation.
1 code implementation • 29 Mar 2021 • Yuanfei Huang, Jie Li, Yanting Hu, Xinbo Gao, Hua Huang
Being extremely dependent on iterative estimation of the degradation prior or optimization of the model from scratch, the existing blind super-resolution (SR) methods are generally time-consuming and less effective, as the estimation of degradation proceeds from a blind initialization and lacks interpretable degradation priors.
1 code implementation • ICCV 2021 • Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon
In this work, we introduce an end-to-end trainable approach for joint object detection and tracking that is capable of such reasoning.
no code implementations • 9 Mar 2021 • Kaiming Tang, Shengbo Eben Li, Yuming Yin, Yang Guan, Jingliang Duan, Wenhan Cao, Jie Li
The equivalence holds given certain conditions about initial state distributions and policy formats, in which the system state is the estimation error, control input is the filter gain, and control objective function is the accumulated estimation error.
2 code implementations • 23 Feb 2021 • Yang Guan, Jingliang Duan, Shengbo Eben Li, Jie Li, Jianyu Chen, Bo Cheng
Formally, MPG is constructed as a weighted average of the data-driven and model-driven PGs, where the former is the derivative of the learned Q-value function, and the latter is that of the model-predictive return.
no code implementations • 9 Feb 2021 • Yutong Jin, Jie Li, Xinyu Wang, Peiyao Li, Jinjiang Guo, Junfeng Wu, Dawei Leng, Lurong Pan
The novel coronavirus (SARS-CoV-2) which causes COVID-19 is an ongoing pandemic.
1 code implementation • 8 Feb 2021 • Dawei Leng, Jinjiang Guo, Lurong Pan, Jie Li, Xinyu Wang
Graph neural networks are emerging as continuation of deep learning success w. r. t.
no code implementations • 7 Feb 2021 • Jie Li, Yu Hu
In this paper, we put forward a novel density-oriented PointNet (DPointNet) for 3D object detection in point clouds, in which the density of points increases layer by layer.
no code implementations • 4 Feb 2021 • Dong Chu, Huanfeng Shen, Xiaobin Guan, Jing M. Chen, Xinghua Li, Jie Li, Liangpei Zhang
The applications of Normalized Difference Vegetation Index (NDVI) time-series data are inevitably hampered by cloud-induced gaps and noise.
no code implementations • 28 Jan 2021 • Jinjiang Guo, Jie Li, Dawei Leng, Lurong Pan
Multi-scale biomedical knowledge networks are expanding with emerging experimental technologies that generates multi-scale biomedical big data.
1 code implementation • 10 Jan 2021 • Zheming Zuo, Jie Li, Han Xu, Noura Al Moubayed
Disruptive technologies provides unparalleled opportunities to contribute to the identifications of many aspects in pervasive healthcare, from the adoption of the Internet of Things through to Machine Learning (ML) techniques.
1 code implementation • ICCV 2021 • Jie Li, Rongrong Ji, Peixian Chen, Baochang Zhang, Xiaopeng Hong, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang, Yongjian Wu
A common practice is to start from a large perturbation and then iteratively reduce it with a deterministic direction and a random one while keeping it adversarial.
1 code implementation • 26 Dec 2020 • Hsu-kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg
Second, we propose to learn a metric that combines the Mahalanobis and feature distances when comparing a track and a new detection in data association.
no code implementations • 23 Dec 2020 • Jie Li, Ruqian Wu
A new multifunctional 2D material is theoretically predicted based on systematic ab-initio calculations and model simulations for the honeycomb lattice of endohedral fullerene W@C28 molecules.
Materials Science Computational Physics
no code implementations • 23 Dec 2020 • Jie Li, Binglin Li, Min Gao
Recently, skeleton-based approaches have achieved rapid progress on the basis of great success in skeleton representation.
no code implementations • 21 Dec 2020 • Matthijs H. J. de Jong, Jie Li, Claus Gärtner, Richard A. Norte, Simon Gröblacher
Studying the interplay between multiple coupled mechanical resonators is a promising new direction in the field of optomechanics.
Optics Mesoscale and Nanoscale Physics
no code implementations • 17 Dec 2020 • Yuanbin Jin, Jiangwei Yan, Shah Jee Rahman, Jie Li, Xudong Yu, Jing Zhang
We measure a highest rotation frequency about 4. 3 GHz of the trapped nanoparticle without feedback cooling and a 6 GHz rotation with feedback cooling, which is the fastest mechanical rotation ever reported to date.
Optics Mesoscale and Nanoscale Physics Quantum Physics
1 code implementation • 14 Dec 2020 • Jie Li, Vasileios Giotsas, Shi Zhou
Our work provides insights into the latest deployment of M-BGP in a major ISP network and it highlights the characteristics and effectiveness of M-BGP as a means to realize load sharing.
Networking and Internet Architecture
2 code implementations • 7 Dec 2020 • Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui
In practice, an initial semantic segmentation (SS) of a single sweep point cloud can be achieved by any appealing network and then flows into the semantic scene completion (SSC) module as the input.
Ranked #3 on 3D Semantic Scene Completion on SemanticKITTI
3D Semantic Scene Completion from a single RGB image 3D Semantic Segmentation +3
no code implementations • 27 Nov 2020 • Yi Gu, Jie Li, Yuting Gao, Ruoxin Chen, Chentao Wu, Feiyang Cai, Chao Wang, Zirui Zhang
Neural networks are susceptible to catastrophic forgetting.
no code implementations • 19 Nov 2020 • Jiang He, Jie Li, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang
Hyperspectral images are crucial for many research works.
no code implementations • 11 Nov 2020 • Yi Gu, Yuting Gao, Jie Li, Chentao Wu, Weijia Jia
Due to the uncertainty in the distortion variation, restoring distorted images caused by liquify filter is a challenging task.
1 code implementation • 28 Oct 2020 • Steve Bryson, Michelle Kunimoto, Ravi K. Kopparapu, Jeffrey L. Coughlin, William J. Borucki, David Koch, Victor Silva Aguirre, Christopher Allen, Geert Barentsen, Natalie. M. Batalha, Travis Berger, Alan Boss, Lars A. Buchhave, Christopher J. Burke, Douglas A. Caldwell, Jennifer R. Campbell, Joseph Catanzarite, Hema Chandrasekharan, William J. Chaplin, Jessie L. Christiansen, Jorgen Christensen-Dalsgaard, David R. Ciardi, Bruce D. Clarke, William D. Cochran, Jessie L. Dotson, Laurance R. Doyle, Eduardo Seperuelo Duarte, Edward W. Dunham, Andrea K. Dupree, Michael Endl, James L. Fanson, Eric B. Ford, Maura Fujieh, Thomas N. Gautier III, John C. Geary, Ronald L Gilliland, Forrest R. Girouard, Alan Gould, Michael R. Haas, Christopher E. Henze, Matthew J. Holman, Andrew Howard, Steve B. Howell, Daniel Huber, Roger C. Hunter, Jon M. Jenkins, Hans Kjeldsen, Jeffery Kolodziejczak, Kipp Larson, David W. Latham, Jie Li, Savita Mathur, Soren Meibom, Chris Middour, Robert L. Morris, Timothy D. Morton, Fergal Mullally, Susan E. Mullally, David Pletcher, Andrej Prsa, Samuel N. Quinn, Elisa V. Quintana, Darin Ragozzine, Solange V. Ramirez, Dwight T. Sanderfer, Dimitar Sasselov, Shawn E. Seader, Megan Shabram, Avi Shporer, Jeffrey C. Smith, Jason H. Steffen, Martin Still, Guillermo Torres, John Troeltzsch, Joseph D. Twicken, Akm Kamal Uddin, Jeffrey E. Van Cleve, Janice Voss, Lauren Weiss, William F. Welsh, Bill Wohler, Khadeejah A Zamudio
We present occurrence rates for rocky planets in the habitable zones (HZ) of main-sequence dwarf stars based on the Kepler DR25 planet candidate catalog and Gaia-based stellar properties.
Earth and Planetary Astrophysics Solar and Stellar Astrophysics
1 code implementation • 28 Sep 2020 • Yuanfei Huang, Jie Li, Xinbo Gao, Yanting Hu, Wen Lu
To solve them, we propose a purposeful and interpretable detail-fidelity attention network to progressively process these smoothes and details in divide-and-conquer manner, which is a novel and specific prospect of image super-resolution for the purpose on improving the detail fidelity, instead of blindly designing or employing the deep CNNs architectures for merely feature representation in local receptive fields.
no code implementations • 18 Sep 2020 • Ruoxin Chen, Jie Li, Chentao Wu, Bin Sheng, Ping Li
Random selection based defenses can achieve certified robustness by averaging the classifiers' predictions on the sub-datasets sampled from the training set.
no code implementations • 11 Sep 2020 • Jie Li, Yu Hu
We present an improved version of PointRCNN for 3D object detection, in which a multi-branch backbone network is adopted to handle the non-uniform density of point clouds.
no code implementations • 11 Sep 2020 • Ji-Yue Wang, Pei Zhang, Wen-feng Pang, Jie Li
The experiment results confirm that the TC can help LsrKD and MrKD to boost training, especially on the networks they are failed.
no code implementations • 7 Sep 2020 • Xi Gu, Lingbin Kong, Zhicheng Wang, Jie Li, Zhaohui Yu, Gang Wei
On the DOTA dataset, CenterFPANet mAP is 64. 00%, and FPS is 22. 2, which is close to the accuracy of the anchor-based methods currently used and much faster than them.
3 code implementations • 21 Aug 2020 • Jiaming Han, Jian Ding, Jie Li, Gui-Song Xia
However most of existing methods rely on heuristically defined anchors with different scales, angles and aspect ratios and usually suffer from severe misalignment between anchor boxes and axis-aligned convolutional features, which leads to the common inconsistency between the classification score and localization accuracy.
Ranked #22 on Object Detection In Aerial Images on DOTA (using extra training data)
no code implementations • 3 Aug 2020 • Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard
In autonomous driving, accurately estimating the state of surrounding obstacles is critical for safe and robust path planning.
no code implementations • 14 Jul 2020 • Jie Li, Lei Gu, Ruqian Wu
Nanomagnets with giant magnetic anisotropy energy and long coherence time are desired for various technological innovations such as quantum information procession and storage.
Materials Science Computational Physics
no code implementations • 14 Jul 2020 • Jie Li, Shengbo Eben Li, Yang Guan, Jingliang Duan, Wenyu Li, Yuming Yin
The simulation results show that the TPI algorithm can converge to the optimal solution for the linear plant, and has high resistance to disturbances for the nonlinear plant.
no code implementations • 3 Jul 2020 • Feifei Huang, Jie Li, Xuelin Zhu
Deep convolution neural network has attracted many attentions in large-scale visual classification task, and achieves significant performance improvement compared to traditional visual analysis methods.
no code implementations • 3 Jul 2020 • Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang, Tongliang Liu
Specifically, we devise a partial segment loss regarded as a loss sampling to learn integral action parts from labeled segments.
Weakly-supervised Temporal Action Localization Weakly Supervised Temporal Action Localization
no code implementations • 25 Jun 2020 • Zhenxi Zhang, Chunna Tian, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao
Further, we propose a context encoding module to utilize the global predictor from the error map to enhance the feature representation and regularize the networks.
no code implementations • 25 May 2020 • Bing Cao, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li
Heterogeneous face recognition (HFR) refers to matching face images acquired from different domains with wide applications in security scenarios.
1 code implementation • CVPR 2020 • Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian
For reducing the solution space, we first model the adversarial perturbation optimization problem as a process of recovering frequency-sparse perturbations with compressed sensing, under the setting that random noise in the low-frequency space is more likely to be adversarial.
1 code implementation • CVPR 2020 • Jie Li, Kai Han, Peng Wang, Yu Liu, Xia Yuan
In contrast to the standard 3D convolution that is limited to a fixed 3D receptive field, our module is capable of modeling the dimensional anisotropy voxel-wisely.
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.
1 code implementation • ICLR 2020 • Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
Instead of using semantic labels and proxy losses in a multi-task approach, we propose a new architecture leveraging fixed pretrained semantic segmentation networks to guide self-supervised representation learning via pixel-adaptive convolutions.
no code implementations • 17 Feb 2020 • Yu Liu, Jie Li, Qingsen Yan, Xia Yuan, Chunxia Zhao, Ian Reid, Cesar Cadena
This paper tackles the problem of data fusion in the semantic scene completion (SSC) task, which can simultaneously deal with semantic labeling and scene completion.
Ranked #14 on 3D Semantic Scene Completion on NYUv2
no code implementations • 16 Feb 2020 • Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Xinbo Gao, Zhifeng Li
In the SR processing, we first generated a group of FACs from the input LR face, and then reconstructed the HR face from this group of FACs.
no code implementations • 15 Feb 2020 • Jingwei Xin, Nannan Wang, Jie Li, Xinbo Gao, Zhifeng Li
Current state-of-the-art CNN methods usually treat the VSR problem as a large number of separate multi-frame super-resolution tasks, at which a batch of low resolution (LR) frames is utilized to generate a single high resolution (HR) frame, and running a slide window to select LR frames over the entire video would obtain a series of HR frames.
3 code implementations • 7 Feb 2020 • Zheng Hui, Jie Li, Xiumei Wang, Xinbo Gao
Besides, we devise a geometrical alignment constraint item to compensate for the pixel-based distance between prediction features and ground-truth ones.
Ranked #1 on Facial Inpainting on FFHQ
1 code implementation • 29 Jan 2020 • Yu Liu, Jie Li, Xia Yuan, Chunxia Zhao, Roland Siegwart, Ian Reid, Cesar Cadena
We propose PALNet, a novel hybrid network for SSC based on single depth.
4 code implementations • 16 Jan 2020 • Hsu-kuang Chiu, Antonio Prioletti, Jie Li, Jeannette Bohg
Our method estimates the object states by adopting a Kalman Filter.
no code implementations • MDPI Remote Sensing 2020 • Jianhao Gao, Qiangqiang Yuan, Jie Li, Hai Zhang, Xin Su
The approach can be roughly divided into two steps: in the first step, a specially designed convolutional neural network (CNN) translates the synthetic aperture radar (SAR) images into simulated optical images in an object-to-object manner; in the second step, the simulated optical image, together with the SAR image and the optical image corrupted by clouds, is fused to reconstruct the corrupted area by a generative adversarial network (GAN) with a particular loss function.
Ranked #6 on Cloud Removal on SEN12MS-CR
no code implementations • 2 Jan 2020 • Zhiyun Fan, Jie Li, Shiyu Zhou, Bo Xu
We investigate different factors of SAM.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 23 Dec 2019 • Yang Guan, Shengbo Eben Li, Jingliang Duan, Jie Li, Yangang Ren, Qi Sun, Bo Cheng
Reinforcement learning (RL) algorithms have been successfully applied to a range of challenging sequential decision making and control tasks.
no code implementations • CVPR 2020 • Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome Lynch, Adrien Gaidon
Panoptic segmentation is a complex full scene parsing task requiring simultaneous instance and semantic segmentation at high resolution.
1 code implementation • 19 Nov 2019 • Kangfu Mei, Juncheng Li, Jiajie Zhang, Hao-Yu Wu, Jie Li, Rui Huang
However, plenty of studies have shown that global information is crucial for image restoration tasks like image demosaicing and enhancing.
1 code implementation • 18 Nov 2019 • Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler
For training, only one set of source input images is therefore provided in the challenge.
1 code implementation • 22 Oct 2019 • Yalong Liu, Jie Li, Miaomiao Wang, Zhicheng Jiao, Jian Yang, Xianjun Li
In this paper, a novel spatiotemporal transformation deep learning method called Trident Segmentation CNN (TS-CNN) is proposed to segment PWML in MR images.
no code implementations • 4 Oct 2019 • Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
Learning depth and camera ego-motion from raw unlabeled RGB video streams is seeing exciting progress through self-supervision from strong geometric cues.
no code implementations • 4 Oct 2019 • Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
Dense depth estimation from a single image is a key problem in computer vision, with exciting applications in a multitude of robotic tasks.
no code implementations • 30 Sep 2019 • Zhenzhen Xiang, Jingrui Yu, Jie Li, Jianbo Su
As for the pose tracker, we propose a visual odometry system fusing both the feature matching and the virtual LiDAR scan matching results.
1 code implementation • 16 Sep 2019 • Zhenzhen Xiang, Anbo Bao, Jie Li, Jianbo Su
On the other hand, feature fusion modules are designed to combine different modal of semantic features, which leverage the information from both inputs for better accuracy.
no code implementations • 11 Sep 2019 • Jingliang Duan, Jie Li, Qiang Ge, Shengbo Eben Li, Monimoy Bujarbaruah, Fei Ma, Dezhao Zhang
The warm-up phase minimizes the square of the Hamiltonian to achieve admissibility, while the generalized policy iteration phase relaxes the update termination conditions for faster convergence.
1 code implementation • 19 Aug 2019 • Jie Li, Haifeng Liu, Chuanghua Gui, Jianyu Chen, Zhenyun Ni, Ning Wang
We present the design and implementation of a visual search system for real time image retrieval on JD. com, the world's third largest and China's largest e-commerce site.
no code implementations • 9 Aug 2019 • Qiankun Tang, Shice Liu, Jie Li, Yu Hu
We introduce a novel single-shot object detector to ease the imbalance of foreground-background class by suppressing the easy negatives while increasing the positives.
1 code implementation • 24 Jul 2019 • Zheng Hui, Jie Li, Xinbo Gao, Xiumei Wang
In this paper, we propose a novel perceptual image super-resolution method that progressively generates visually high-quality results by constructing a stage-wise network.
Ranked #8 on Image Super-Resolution on Urban100 - 4x upscaling (SSIM metric)
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.
1 code implementation • 24 Jun 2019 • Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Xianjun Li, Zhicheng Jiao, Jian Yang, Xingbo Gao
In this paper, we construct an efficient two-stage PWML semantic segmentation network based on the characteristics of the lesion, called refined segmentation R-CNN (RS RCNN).
no code implementations • 18 Jun 2019 • Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao
3D image segmentation is one of the most important and ubiquitous problems in medical image processing.
no code implementations • 17 Jun 2019 • Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao
We train the deep encoder-decoder for landmark detection, and combine global landmark configuration with local high-resolution feature responses.
no code implementations • 28 Apr 2019 • Yachen Tang, Tingting Liu, Guangyi Liu, Jie Li, Renchang Dai, Chen Yuan
Because of data duplication, database decentralization, weak data relations, and sluggish data updates, the power asset management system eager to adopt a new strategy to avoid the information losses, bias, and improve the data storage efficiency and extraction process.
2 code implementations • 18 Apr 2019 • Jia Yan, Jie Li, Xin Fu
No-reference image quality assessment (NR-IQA) aims to measure the image quality without reference image.
1 code implementation • ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019 • YuanYuan Zhao, Jie Li, Xiaorui Wang, Yan Li
Attention-based sequence-to-sequence architectures have made great progress in the speech recognition task.
no code implementations • 16 Apr 2019 • Erkun Yang, Cheng Deng, Chao Li, Wei Liu, Jie Li, DaCheng Tao
In this paper, we propose a deep quantization approach, which is among the early attempts of leveraging deep neural networks into quantization-based cross-modal similarity search.
no code implementations • 26 Mar 2019 • Yayu Peng, Yishen Wang, Xiao Lu, Haifeng Li, Di Shi, Zhiwei Wang, Jie Li
Short-term load forecasting (STLF) is essential for the reliable and economic operation of power systems.
no code implementations • CVPR 2019 • Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian Reid
RGB images differentiate from depth images as they carry more details about the color and texture information, which can be utilized as a vital complementary to depth for boosting the performance of 3D semantic scene completion (SSC).
Ranked #19 on 3D Semantic Scene Completion on NYUv2
2 code implementations • 15 Jan 2019 • Guanyu Gao, Jie Li, Yonggang Wen
We formulate the building thermal control as a cost-minimization problem which jointly considers the energy consumption of HVAC and the thermal comfort of the occupants.
no code implementations • 4 Dec 2018 • Jie Li, Allan Raventos, Arjun Bhargava, Takaaki Tagawa, Adrien Gaidon
We propose an end-to-end learning approach for panoptic segmentation, a novel task unifying instance (things) and semantic (stuff) segmentation.
Ranked #26 on Panoptic Segmentation on Cityscapes val (using extra training data)
no code implementations • ICCV 2019 • Jie Li, Rongrong Ji, Hong Liu, Xiaopeng Hong, Yue Gao, Qi Tian
In this paper, we make the first attempt in attacking image retrieval systems.
no code implementations • 26 Nov 2018 • Jie Li, Yahui Shan, Xiaorui Wang, Yan Li
The use of future contextual information is typically shown to be helpful for acoustic modeling.
1 code implementation • 14 Nov 2018 • Avi Shporer, Ian Wong, Chelsea X. Huang, Michael R. Line, Keivan G. Stassun, Tara Fetherolf, Stephen R. Kane, Luke G. Bouma, Tansu Daylan, Maximilian N. Guenther, George R. Ricker, David W. Latham, Roland Vanderspek, Sara Seager, Joshua N. Winn, Jon M. Jenkins, Ana Glidden, Zach Berta-Thompson, Eric B. Ting, Jie Li, Kari Haworth
The phase curve includes the transit, secondary eclipse, and sinusoidal modulations across the orbital phase shaped by the planet's atmospheric characteristics and the star-planet gravitational interaction.
Earth and Planetary Astrophysics Solar and Stellar Astrophysics
no code implementations • 1 Nov 2018 • Hu Han, Jie Li, Anil K. Jain, Shiguang Shan, Xilin Chen
To close the gap, we propose an efficient tattoo search approach that is able to learn tattoo detection and compact representation jointly in a single convolutional neural network (CNN) via multi-task learning.
no code implementations • ICLR 2019 • Kuan-Hui Lee, German Ros, Jie Li, Adrien Gaidon
Deep Learning for Computer Vision depends mainly on the source of supervision. Photo-realistic simulators can generate large-scale automatically labeled syntheticdata, but introduce a domain gap negatively impacting performance.
1 code implementation • 1 Oct 2018 • Qiang Zhang, Qiangqiang Yuan, Jie Li, Xin-Xin Liu, Huanfeng Shen, Liangpei Zhang
The existence of hybrid noise in hyperspectral images (HSIs) severely degrades the data quality, reduces the interpretation accuracy of HSIs, and restricts the subsequent HSIs applications.
no code implementations • 28 Sep 2018 • Yanting Hu, Jie Li, Yuanfei Huang, Xinbo Gao
To capture more informative features and maintain long-term information for image super-resolution, we propose a channel-wise and spatial feature modulation (CSFM) network in which a sequence of feature-modulation memory (FMM) modules is cascaded with a densely connected structure to transform low-resolution features to high informative features.
no code implementations • 4 Sep 2018 • Huanfeng Shen, Menghui Jiang, Jie Li, Qiangqiang Yuan, Yanchong Wei, Liangpei Zhang
In the field of spatial-spectral fusion, the model-based method and the deep learning (DL)-based method are state-of-the-art.
no code implementations • 26 Jul 2018 • Miaopeng Li, Zimeng Zhou, Jie Li, Xinguo Liu
In this work, we propose a new method for multi-person pose estimation which combines the traditional bottom-up and the top-down methods.
no code implementations • International Joint Conferences on Artificial Intelligence Organization 2018 • Jingjing Wang, Jie Li, Shoushan Li, Yangyang Kang, Min Zhang, Luo Si, Guodong Zhou
Aspect sentiment classification, a challenging taskin sentiment analysis, has been attracting more andmore attention in recent years.
2 code implementations • 1 Jun 2018 • Qiangqiang Yuan, Qiang Zhang, Jie Li, Huanfeng Shen, Liangpei Zhang
Hyperspectral image (HSI) denoising is a crucial preprocessing procedure to improve the performance of the subsequent HSI interpretation and applications.
no code implementations • 18 May 2018 • Jie Li, Xiaorui Wang, Yuan-Yuan Zhao, Yan Li
The use of future contextual information is typically shown to be helpful for acoustic modeling.
no code implementations • 15 Apr 2018 • Qiyue Li, Heng Qu, Zhi Liu, Nana Zhou, Wei Sun, Jie Li
Based on the extended fingerprint database, the accuracy of indoor localization system can be improved with reduced human effort.
Networking and Internet Architecture
no code implementations • 24 Feb 2018 • Yanting Hu, Xinbo Gao, Jie Li, Yuanfei Huang, Hanzi Wang
To improve information flow and to capture sufficient knowledge for reconstructing the high-frequency details, we propose a cascaded multi-scale cross network (CMSC) in which a sequence of subnetworks is cascaded to infer high resolution features in a coarse-to-fine manner.
no code implementations • 28 Nov 2017 • Haoxuan You, Zhicheng Jiao, Haojun Xu, Jie Li, Ying Wang, Xinbo Gao
Generative adversarial network (GAN) has gotten wide re-search interest in the field of deep learning.
1 code implementation • 18 Oct 2017 • Susan E. Thompson, Jeffrey L. Coughlin, Kelsey Hoffman, Fergal Mullally, Jessie L. Christiansen, Christopher J. Burke, Steve Bryson, Natalie Batalha, Michael R. Haas, Joseph Catanzarite, Jason F. Rowe, Geert Barentsen, Douglas A. Caldwell, Bruce D. Clarke, Jon M. Jenkins, Jie Li, David W. Latham, Jack J. Lissauer, Savita Mathur, Robert L. Morris, Shawn E. Seader, Jeffrey C. Smith, Todd C. Klaus, Joseph D. Twicken, Bill Wohler, Rachel Akeson, David R. Ciardi, William D. Cochran, Thomas Barclay, Jennifer R. Campbell, William J. Chaplin, David Charbonneau, Christopher E. Henze, Steve B. Howell, Daniel Huber, Andrej Prsa, Solange V. Ramirez, Timothy D. Morton, Jorgen Christensen-Dalsgaard, Jessie L. Dotson, Laurance Doyle, Edward W. Dunham, Andrea K. Dupree, Eric B. Ford, John C. Geary, Forrest R. Girouard, Howard Isaacson, Hans Kjeldsen, Jason H. Steffen, Elisa V. Quintana, Darin Ragozzine, Megan Shabram, Avi Shporer, Victor Silva Aguirre, Martin Still, Peter Tenenbaum, William F. Welsh, Angie Wolfgang, Khadeejah A. Zamudio, David G. Koch, William J. Borucki
For orbital periods less than 100 days the Robovetter completeness (the fraction of simulated transits that are determined to be planet candidates) across all observed stars is greater than 85%.
Earth and Planetary Astrophysics
1 code implementation • 9 Sep 2017 • Qiang Zhang, Qiangqiang Yuan, Jie Li, Zhen Yang, Xiaoshuang Ma
In this paper, to break the limit of the traditional linear models for synthetic aperture radar (SAR) image despeckling, we propose a novel deep learning approach by learning a non-linear end-to-end mapping between the noisy and clean SAR images with a dilated residual network (SAR-DRN).
no code implementations • 14 Jun 2017 • Haozhe Xie, Jie Li, Hanqing Xue
Dimensionality reduction techniques play important roles in the analysis of big data.
1 code implementation • 23 Feb 2017 • Jie Li, Katherine A. Skinner, Ryan M. Eustice, Matthew Johnson-Roberson
Due to the depth-dependent water column effects inherent to underwater environments, we show that our end-to-end network implicitly learns a coarse depth estimate of the underwater scene from monocular underwater images.
no code implementations • 8 Jan 2017 • Nannan Wang, Xinbo Gao, Jie Li
The most time-consuming or main computation complexity for exemplar-based face sketch synthesis methods lies in the neighbor selection process.
no code implementations • 25 Aug 2016 • Haozhe Xie, Jie Li, Qiaosheng Zhang, Yadong Wang
FS followed by RP outperforms other combination methods in classification accuracy on most of the datasets.
no code implementations • 1 Jul 2016 • Chunlei Peng, Xinbo Gao, Nannan Wang, Jie Li
An adaptive sparse graphical representation scheme is designed to represent heterogeneous face images, where a Markov networks model is constructed to generate adaptive sparse vectors.
no code implementations • 25 Mar 2016 • Nannan Wang, Jie Li, Leiyu Sun, Bin Song, Xinbo Gao
In this paper, we proposed a synthesized face sketch recognition framework based on full-reference image quality assessment metrics.
no code implementations • 2 Mar 2015 • Chunlei Peng, Xinbo Gao, Nannan Wang, Jie Li
Heterogeneous face recognition (HFR) refers to matching face images acquired from different sources (i. e., different sensors or different wavelengths) for identification.