Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Orazio Gallo"'
Publikováno v:
CVPR
Time-to-contact (TTC), the time for an object to collide with the observer's plane, is a powerful tool for path planning: it is potentially more informative than the depth, velocity, and acceleration of objects in the scene -- even for humans. TTC pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32cca034c53ceed149123f7a041c4884
http://arxiv.org/abs/2101.04777
http://arxiv.org/abs/2101.04777
Publikováno v:
CVPR
This paper presents a new method to synthesize an image from arbitrary views and times given a collection of images of a dynamic scene. A key challenge for the novel view synthesis arises from dynamic scene reconstruction where epipolar geometry does
Publikováno v:
CVPR
Stereo-based depth estimation is a cornerstone of computer vision, with state-of-the-art methods delivering accurate results in real time. For several applications such as autonomous navigation, however, it may be useful to trade accuracy for lower l
Publikováno v:
CVPR
Estimating a mesh from an unordered set of sparse, noisy 3D points is a challenging problem that requires carefully selected priors. Existing hand-crafted priors, such as smoothness regularizers, impose an undesirable trade-off between attenuating no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce9e08b63af02d7660ccc557314ebc84
http://arxiv.org/abs/2001.01744
http://arxiv.org/abs/2001.01744
Publikováno v:
ACM Transactions on Graphics. 36:1-14
Capturing a picture that "tells a story" requires the ability to create the right composition. The two most important parameters controlling composition are the camera position and the focal length of the lens. The traditional paradigm is for a photo
Publikováno v:
IEEE Transactions on Computational Imaging. 3:47-57
Neural networks are becoming central in several areas of computer vision and image processing and different architectures have been proposed to solve specific problems. The impact of the loss layer of neural networks, however, has not received much a
Publikováno v:
CVPR
Convolutions are the fundamental building block of CNNs. The fact that their weights are spatially shared is one of the main reasons for their widespread use, but it also is a major limitation, as it makes convolutions content agnostic. We propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67776d1dd868cc4e7d07e0f03ea60b90
http://arxiv.org/abs/1904.05373
http://arxiv.org/abs/1904.05373
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110239
ECCV Workshops (6)
ECCV Workshops (6)
To date, top-performing optical flow estimation methods only take pairs of consecutive frames into account. While elegant and appealing, the idea of using more than two frames has not yet produced state-of-the-art results. We present a simple, yet ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14baec96ed421d99f0e4cc240eac3437
https://doi.org/10.1007/978-3-030-11024-6_53
https://doi.org/10.1007/978-3-030-11024-6_53
Publikováno v:
ICCV
We present Extreme View Synthesis, a solution for novel view extrapolation that works even when the number of input images is small--as few as two. In this context, occlusions and depth uncertainty are two of the most pressing issues, and worsen as t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9de5deb7f5523800d6b22071e84efafa
http://arxiv.org/abs/1812.04777
http://arxiv.org/abs/1812.04777
Publikováno v:
ICCP
Motion blur is a fundamental problem in computer vision as it impacts image quality and hinders inference. Traditional deblurring algorithms leverage the physics of the image formation model and use hand-crafted priors: they usually produce results t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1452cc96b724b64a02616c33cfcb826