Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Manohar Paluri"'
Autor:
Jürgen Gall, Manohar Paluri, Vivek Sharma, Luc Van Gool, Mohsen Fayyaz, Rainer Stiefelhagen, Ali Diba
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585570
ECCV (5)
Computer Vision – ECCV 2020-16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part V
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2020
ECCV (5)
Computer Vision – ECCV 2020-16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part V
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2020
Video recognition has been advanced in recent years by benchmarks with rich annotations. However, research is still mainly limited to human action or sports recognition - focusing on a highly specific video understanding task and thus leaving a signi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8ae495a519c2fe9f2f1d120e6bb6b7e
https://doi.org/10.1007/978-3-030-58558-7_35
https://doi.org/10.1007/978-3-030-58558-7_35
Publikováno v:
CVPR
Road network extraction from satellite images often produce fragmented road segments leading to road maps unfit for real applications. Pixel-wise classification fails to predict topologically correct and connected road masks due to the absence of con
Autor:
Francesca Babiloni, Rahaf Aljundi, Mohamed Elhoseiny, Tinne Tuytelaars, Marcus Rohrbach, Manohar Paluri
Publikováno v:
Computer Vision – ACCV 2018 ISBN: 9783030208752
ACCV (6)
ACCV (6)
So far life-long learning (LLL) has been studied in relatively small-scale and relatively artificial setups. Here, we introduce a new large-scale alternative. What makes the proposed setup more natural and closer to human-like visual systems is three
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b81d76ea373a503260db1a89cb61cc4b
https://doi.org/10.1007/978-3-030-20876-9_5
https://doi.org/10.1007/978-3-030-20876-9_5
Autor:
Dhruv Mahajan, De-An Huang, Juan Carlos Niebles, Vignesh Ramanathan, Manohar Paluri, Li Fei-Fei, Lorenzo Torresani
Publikováno v:
CVPR
The ability to capture temporal information has been critical to the development of video understanding models. While there have been numerous attempts at modeling motion in videos, an explicit analysis of the effect of temporal information for video
Publikováno v:
CVPR
In this paper we discuss several forms of spatiotemporal convolutions for video analysis and study their effects on action recognition. Our motivation stems from the observation that 2D CNNs applied to individual frames of the video have remained sol
Autor:
Manohar Paluri, Ross Girshick, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten, Vignesh Ramanathan, Dhruv Mahajan, Kaiming He
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012151
ECCV (2)
ECCV (2)
State-of-the-art visual perception models for a wide range of tasks rely on supervised pretraining. ImageNet classification is the de facto pretraining task for these models. Yet, ImageNet is now nearly ten years old and is by modern standards “sma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75b10164cc550f65460c8def8b38a7a1
https://doi.org/10.1007/978-3-030-01216-8_12
https://doi.org/10.1007/978-3-030-01216-8_12
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012632
ECCV (14)
ECCV (14)
This paper introduces a large-scale, multi-label and multi-task video dataset named Scenes-Objects-Actions (SOA). Most prior video datasets are based on a predefined taxonomy, which is used to define the keyword queries issued to search engines. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c24994113a0aa636f894c3cd96e1b534
https://doi.org/10.1007/978-3-030-01264-9_39
https://doi.org/10.1007/978-3-030-01264-9_39
Publikováno v:
CVPR
This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video. We propose an extremely lightweight yet highly effective approach that builds upon the latest advancements in human detection and video u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84427887e4167e1d16ce74ae2c70e1e5
Publikováno v:
CVPR Workshops
Over the last few years deep learning methods have emerged as one of the most prominent approaches for video analysis. However, so far their most successful applications have been in the area of video classification and detection, i.e., problems invo
Publikováno v:
ICCV
With the widespread availability of cellphones and cameras that have GPS capabilities, it is common for images being uploaded to the Internet today to have GPS coordinates associated with them. In addition to research that tries to predict GPS coordi