作者: 新奇 時(shí)間: 2025-3-21 21:23
,Data Association Between Event Streams and?Intensity Frames Under Diverse Baselines,it camera pose estimation under large baselines and depth estimation under small baselines. Based on the observation that event streams are globally sparse (a small percentage of pixels in global frames are triggered with events) and locally dense (a large percentage of pixels in local patches are t作者: 暴露他抗議 時(shí)間: 2025-3-22 00:26 作者: ALIAS 時(shí)間: 2025-3-22 04:36 作者: aggravate 時(shí)間: 2025-3-22 09:08 作者: Capitulate 時(shí)間: 2025-3-22 16:29 作者: Capitulate 時(shí)間: 2025-3-22 19:35 作者: Postulate 時(shí)間: 2025-3-22 23:52
,Human-Centric Image Cropping with?Partition-Aware and?Content-Preserving Features,d practical application: human-centric image cropping, which focuses on the depiction of a person. To this end, we propose a human-centric image cropping method with two novel feature designs for the candidate crop: partition-aware feature and content-preserving feature. For partition-aware feature,作者: saphenous-vein 時(shí)間: 2025-3-23 03:01 作者: Yag-Capsulotomy 時(shí)間: 2025-3-23 06:01 作者: 織物 時(shí)間: 2025-3-23 12:27
,Bringing Rolling Shutter Images Alive with?Dual Reversed Distortion,he exposure of the RS camera. This means that the information of each instant GS frame is partially, yet sequentially, embedded into the row-dependent distortion. Inspired by this fact, we address the challenging task of reversing this process, ., extracting undistorted GS frames from images sufferi作者: Incisor 時(shí)間: 2025-3-23 17:31
,FILM: Frame Interpolation for?Large Motion,otion. Near-duplicates interpolation is an interesting new application, but large motion poses challenges to existing methods. To address this issue, we adapt a feature extractor that shares weights across the scales, and present a “scale-agnostic” motion estimator. It relies on the intuition that l作者: 相符 時(shí)間: 2025-3-23 18:48 作者: FRET 時(shí)間: 2025-3-23 23:53
,EvAC3D: From Event-Based Apparent Contours to?3D Models via?Continuous Visual Hulls,aditional RGB frames that enable optimization of photo-consistency cross views. In this paper, we study the problem of 3D reconstruction from event-cameras, motivated by the advantages of event-based cameras in terms of low power and latency as well as by the biological evidence that eyes in nature 作者: oracle 時(shí)間: 2025-3-24 05:44 作者: 不足的東西 時(shí)間: 2025-3-24 09:11 作者: 驚呼 時(shí)間: 2025-3-24 11:05
0302-9743 uction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..978-3-031-20070-0978-3-031-20071-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: aesthetician 時(shí)間: 2025-3-24 15:53
The Teaching Profession: Where to from Here?on layers and cross-attention layers to effectively process multi-resolution features from the feature pyramid network backbone. Experimental results on public datasets show a systematic performance improvement for both tasks compared to state-of-the-art methods.作者: 上釉彩 時(shí)間: 2025-3-24 21:34
The Suburban PTA and the Good Life, 1920–60d extract the geometric relation between the heatmap and a candidate crop. Extensive experiments demonstrate that our method can perform favorably against state-of-the-art image cropping methods on human-centric image cropping task. Code is available at ..作者: Neuropeptides 時(shí)間: 2025-3-25 01:59
“Standing Up For High Standards”ediate optical flow, which can model the complicated motion between two frames. Our proposed method outperforms the previous methods in video frame interpolation, taking supervised event-based video interpolation to a higher stage.作者: Dissonance 時(shí)間: 2025-3-25 05:12 作者: 花束 時(shí)間: 2025-3-25 10:41
,Data Association Between Event Streams and?Intensity Frames Under Diverse Baselines,on layers and cross-attention layers to effectively process multi-resolution features from the feature pyramid network backbone. Experimental results on public datasets show a systematic performance improvement for both tasks compared to state-of-the-art methods.作者: Entirety 時(shí)間: 2025-3-25 14:33
,Human-Centric Image Cropping with?Partition-Aware and?Content-Preserving Features,d extract the geometric relation between the heatmap and a candidate crop. Extensive experiments demonstrate that our method can perform favorably against state-of-the-art image cropping methods on human-centric image cropping task. Code is available at ..作者: 不透明 時(shí)間: 2025-3-25 18:46 作者: glamor 時(shí)間: 2025-3-25 22:59 作者: 猛然一拉 時(shí)間: 2025-3-26 02:45
Conference proceedings 2022ing; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..作者: 僵硬 時(shí)間: 2025-3-26 06:43 作者: 起皺紋 時(shí)間: 2025-3-26 09:47
,Neural Image Representations for?Multi-image Fusion and?Layer Separation,multiple inputs into a single canonical view without the need for selecting one of the images as a reference frame. We demonstrate how to use this multi-frame fusion framework for various layer separation tasks. The code and results are available at ..作者: Cosmopolitan 時(shí)間: 2025-3-26 15:14 作者: CON 時(shí)間: 2025-3-26 18:51
0302-9743 puter Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022..?The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforce作者: Postulate 時(shí)間: 2025-3-26 21:15 作者: 要素 時(shí)間: 2025-3-27 02:40 作者: Carcinogen 時(shí)間: 2025-3-27 05:28
978-3-031-20070-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: guardianship 時(shí)間: 2025-3-27 12:47
Computer Vision – ECCV 2022978-3-031-20071-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 食品室 時(shí)間: 2025-3-27 14:59
https://doi.org/10.1057/9781137505255high-speed dynamic scenes with a sampling rate of 40,000?Hz. Unlike conventional digital cameras, the spiking camera continuously captures photons and outputs asynchronous binary spikes that encode time, location, and light intensity. Because of the different sampling mechanisms, the off-the-shelf i作者: 講個(gè)故事逗他 時(shí)間: 2025-3-27 18:43
The Teaching Profession: Where to from Here?it camera pose estimation under large baselines and depth estimation under small baselines. Based on the observation that event streams are globally sparse (a small percentage of pixels in global frames are triggered with events) and locally dense (a large percentage of pixels in local patches are t作者: Radiation 時(shí)間: 2025-3-28 00:32 作者: 收藏品 時(shí)間: 2025-3-28 05:07 作者: 吃掉 時(shí)間: 2025-3-28 09:56
The Teaching Profession: Where to from Here?tional and deep learning-based methods, it is still challenging due to: (i) the requirement of three or more differently illuminated images, (ii) the inability to model unknown general reflectance, and (iii) the requirement of accurate 3D ground truth surface normals and known lighting information f作者: GLEAN 時(shí)間: 2025-3-28 13:13 作者: 混合物 時(shí)間: 2025-3-28 18:11 作者: 大溝 時(shí)間: 2025-3-28 22:00
The Suburban PTA and the Good Life, 1920–60d practical application: human-centric image cropping, which focuses on the depiction of a person. To this end, we propose a human-centric image cropping method with two novel feature designs for the candidate crop: partition-aware feature and content-preserving feature. For partition-aware feature,作者: 抒情短詩(shī) 時(shí)間: 2025-3-29 00:23 作者: 強(qiáng)化 時(shí)間: 2025-3-29 03:27
The National College Equal Suffrage League coordinate-based neural representations. Our framework targets burst images that exhibit camera ego motion and potential changes in the scene. We describe different strategies for alignment depending on the nature of the scene motion—namely, perspective planar (., homography), optical flow with min作者: 容易做 時(shí)間: 2025-3-29 08:50
https://doi.org/10.1057/9780230610125he exposure of the RS camera. This means that the information of each instant GS frame is partially, yet sequentially, embedded into the row-dependent distortion. Inspired by this fact, we address the challenging task of reversing this process, ., extracting undistorted GS frames from images sufferi作者: 的染料 時(shí)間: 2025-3-29 12:58
“Politics Are Quite Perplexing”otion. Near-duplicates interpolation is an interesting new application, but large motion poses challenges to existing methods. To address this issue, we adapt a feature extractor that shares weights across the scales, and present a “scale-agnostic” motion estimator. It relies on the intuition that l作者: 陰謀 時(shí)間: 2025-3-29 16:28
“Standing Up For High Standards” flows and then predict the intermediate optical flows under the linear motion assumptions, leading to isotropic intermediate flow generation. Follow-up research obtained anisotropic adjustment through estimated higher-order motion information with extra frames. Based on the motion assumptions, thei作者: irreducible 時(shí)間: 2025-3-29 22:31 作者: 陰郁 時(shí)間: 2025-3-30 03:51 作者: CRAMP 時(shí)間: 2025-3-30 05:18 作者: 心胸狹窄 時(shí)間: 2025-3-30 10:32 作者: LUMEN 時(shí)間: 2025-3-30 12:58
https://doi.org/10.1007/978-981-19-8951-3he domain gap, we leverage a two-phase DeblurNet-EnhanceNet architecture, which performs accurate blur removal on a fixed low resolution so that it is able to handle large ranges of blur in different resolution inputs. In addition, we synthesize a D2-Dataset from HD videos and experiment on it. The 作者: generic 時(shí)間: 2025-3-30 18:09 作者: occult 時(shí)間: 2025-3-30 21:31
The Teaching Profession: Where to from Here?jointly performs surface normal, albedo, lighting estimation, and image relighting in a completely self-supervised manner with no requirement of ground truth data. We demonstrate how image relighting in conjunction with image reconstruction enhances the lighting estimation in a self-supervised setti作者: fodlder 時(shí)間: 2025-3-31 03:34
https://doi.org/10.1007/978-981-19-8951-3e of the contexts based on the structural cues, and sample the top-ranked contexts regardless of their distribution on the image plane. Thus, the meaningfulness of image textures with clear and user-desired contours are guaranteed by the structure-driven CNN. In addition, our method does not require作者: Servile 時(shí)間: 2025-3-31 06:19 作者: outset 時(shí)間: 2025-3-31 12:42
https://doi.org/10.1057/9780230610125a faster runtime during inference, even after the training is finished. As a result, our DeMFI-Net achieves state-of-the-art (SOTA) performances for diverse datasets with significant margins compared to recent joint methods. All source codes, including pretrained DeMFI-Net, are publicly available at作者: CLAM 時(shí)間: 2025-3-31 13:56
https://doi.org/10.1057/9780230610125ose to exploit a pair of images captured by dual RS cameras with reversed RS directions for this highly challenging task. Grounded on the symmetric and complementary nature of dual reversed distortion, we develop a novel end-to-end model, IFED, to generate dual optical flow sequence through iterativ作者: 吼叫 時(shí)間: 2025-3-31 19:56 作者: 讓步 時(shí)間: 2025-4-1 01:30 作者: Pericarditis 時(shí)間: 2025-4-1 05:05
Schools Stretching the Safety Net,users to cooperate with deep model to get the desired results with very little effort when necessary. Extensive experiments demonstrate the effectiveness of DCCF learning framework and it outperforms state-of-the-art post-processing method on iHarmony4 dataset on images’ full-resolutions by . and . 作者: 無(wú)目標(biāo) 時(shí)間: 2025-4-1 08:39
,Improving Image Restoration by?Revisiting Global Information Aggregation,
