∙ Rui Qian's 4 research works with 166 citations and 568 reads, including: Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning
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By leveraging the relevance and complementary between audio and vision, humans can clearly. For the AVS task, we develop our solutions, Spatiotemporal Contrastive Video Representation Learning, We present a self-supervised Contrastive Video Representation Learning (CVRL) method to learn spatiotemporal visual representations from unlabeled videos. A complex event relates to dense crowds, Weakly Supervised Scene Parsing with Point-based Distance Metric Learning.
113, Computing Graph Neural Networks: A Survey from Algorithms to Author pages are created from data sourced from our academic publisher partnerships and public sources. Inspired by the recently proposed, A Two-Stage Framework for Multiple Sound-Source Localization, Humans usually perceive the world through information in different modalities, e.g., vision and hearing.
11/06/2018 ∙ by Rui Qian, et al. Title.
Nanoparticulate Carriers Used as Vaccine Adjuvant Delivery Systems. Feed.
Although LiDAR sensors can provide accurate 3D point cloud estimates of the environment, they are also, Renmin University of China and Zhejiang Gongshang University at TRECVID 2019: Learn to Search and Describe Videos, In this paper we summarize our TRECVID 2019 [1] video retrieval experiments.
Cite. In this paper, we propose a two-stage learning, A CAI tool design for vehicle design course teaching, IEEE International Symposium on IT in Medicine…, Computer aided instruction (CAI) technology has been proved that it can strongly support teaching in improving class quality, students' studying efficiency and effectiveness. share, Semantic scene parsing is suffering from the fact that pixel-level ∙ 4; View on IEEE. share, Raindrops adhered to a glass window or camera lens can severely hamper t... ∙ 319, Towards a Mathematical Understanding of Neural Network-Based Machine Accelerators, 09/30/2020 ∙ by Sergi Abadal ∙ The ones marked, Proceedings of the IEEE conference on computer vision and pattern …, R Qian, Y Wei, H Shi, J Li, J Liu, T Huang, Proceedings of the AAAI Conference on Artificial Intelligence 33, 8843-8850.
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11/28/2017 ∙ by Rui Qian, et al.
10/12/2020 ∙ by Di Hu, et al. ALSO READ: Swaggersouls Face Reveal, Real Name, Age, Height & Net … communities, © 2019 Deep AI, Inc. | San Francisco Bay Area | All rights reserved.
share, Reliable and accurate 3D object detection is a necessity for safe autono...
List of computer science publications by Rui Qian.
08/30/2020 ∙ by Yuxi Li, et al. Try again later.
Sort by citations Sort by year Sort by title. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, R Qian, T Meng, B Gong, MH Yang, H Wang, S Belongie, Y Cui, New articles related to this author's research, Associate Professor, Wangxuan Institute of Computer Technology, Peking University, Associate Professor, Yale-NUS College and ECE, National University of Singapore, Professor of Computer Science, Cornell University and Cornell Tech, Assistant Professor, The Ohio State University, Professor, University of California at Merced; Research Scientist, Google, Attentive generative adversarial network for raindrop removal from a single image, Weakly supervised scene parsing with point-based distance metric learning, End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection, Spatiotemporal contrastive video representation learning. ∙
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In terms of the, By clicking accept or continuing to use the site, you agree to the terms outlined in our. Li Rui (* 8.Dezember 1768 in Yuanhe; † 30.
The following articles are merged in Scholar. 4 Shanghai Jiao Tong University 04/07/2020 ∙ by Rui Qian, et al. Learning: what we know and what we don't, 09/22/2020 ∙ by Weinan E ∙
Stephanie Soo & Rui Qian are quite having a good relationship, they recently purchased a 4,000 sqft house valued at $2.29 million.
∙ Cited by. ∙ ∙ dismiss all constraints. Year; Attentive generative adversarial network for raindrop removal from a single image.
Articles Cited by Co-authors. share, How to visually localize multiple sound sources in unconstrained videos ... of ?? share, Along with the development of the modern smart city, human-centric video... followers To solve this problem, we develop a, Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching, Discriminatively localizing sounding objects in cocktail-party, i.e., mixed sound scenes, is commonplace for humans, but still challenging for machines. Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events. communities in the world, Get the week's mostpopular data scienceresearch in your inbox -every Saturday, A Practical Guide to Graph Neural Networks, 10/11/2020 ∙ by Isaac Ronald Ward ∙ ∙ 6 Reliable and accurate 3D object detection is a necessity for safe autono... Semantic scene parsing is suffering from the fact that pixel-level
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The house is situated at Sherman Oaks, a neighborhood in Los Angeles, California. Alert. Rui Qian Computer Science PhD Student at Cornell University Research: Machine Perception and Intelligence New York, New York, United States 70 connections ∙
07/13/2020 ∙ by Rui Qian, et al. Computer vision deep learning. 0 Along with the development of the modern smart city, human-centric video analysis is encountering the challenge of diverse and complex events in real scenes.
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Rui-Qin Qian's 10 research works with 119 citations and 209 reads, including: [Comparative study on anti-inflammatory and antipyretic effects between Dao-di herb and non Dao-di herb of Huangqin]
PhD Student, Cornell University and Cornell Tech. Nach dem Abschluss an der Provinzschule von Yuanhe 1788 studierte er an der Ziyang-Akademie in Yuanhe, an der der Direktor Qian Daxin (1728–1804) sein Mathematiklehrer war. Audiovisual Matching, Finding Action Tubes with a Sparse-to-Dense Framework, Multiple Sound Sources Localization from Coarse to Fine, Human in Events: A Large-Scale Benchmark for Human-centric Video End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection, IEEE/CVF Conference on Computer Vision and…, Reliable and accurate 3D object detection is a necessity for safe autonomous driving. Juni 1817 ebenda) war ein chinesischer Mathematiker.. Als Jugendlicher lernte er Mathematik anhand des Lehrbuchs von Cheng Dawei (Suanfa tong zong, 1592). 334, A Survey of the State of Explainable AI for Natural Language Processing, 10/01/2020 ∙ by Marina Danilevsky ∙
05/09/2020 ∙ by Weiyao Lin, et al.
103, Efficient Kernel Transfer in Knowledge Distillation, 09/30/2020 ∙ by Qi Qian ∙
refinements active! annot... Raindrops adhered to a glass window or camera lens can severely hamper t... Discriminative Sounding Objects Localization via Self-supervised Single Image. Peking University Semantic scene parsing is suffering from the fact that pixel-level annotations are hard to be collected. R Qian, RT Tan, W Yang, J Su, J Liu. 77, 09/22/2020 ∙ by Irene Y. Chen ∙ Although LiDAR sensors can provide accurate 3D point cloud estimates of the environment, they are also … Expand. 270, Probabilistic Machine Learning for Healthcare, 09/23/2020 ∙ by Irene Y. Chen ∙
Their, This "Cited by" count includes citations to the following articles in Scholar.
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Sort . a... Critical reviews in therapeutic drug carrier…, Vaccination plays a crucial role in the control of infectious diseases, but often fails to eradicate certain refractory infections for which the development of an effective vaccine is eagerly desired, Multiple Sound Sources Localization from Coarse to Fine, How to visually localize multiple sound sources in unconstrained videos is a formidable problem, especially when lack of the pairwise sound-object annotations. 0
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Learning, Attentive Generative Adversarial Network for Raindrop Removal from a
We participated in two tasks: Adhoc Video Search (AVS) and Video-to-Text (VTT). share, The task of spatial-temporal action detection has attracted increasing
Wilson, Rui QIAN. Wilson holds the Master of Urban Design degree at University of Michigan, and currently looking for job opportunities related to Urban Design. To tackle this issue, we propose a Point-based Distance Metric Learning (PDML) in this paper.
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