作者: Offensive 時(shí)間: 2025-3-21 21:34 作者: Evocative 時(shí)間: 2025-3-22 03:36 作者: myriad 時(shí)間: 2025-3-22 06:37
EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verificationons at the right locations and scales, for identity based matching of face images. It performs well in the presence of occlusions, by avoiding the occluded regions and selecting the next best visible regions. We show quantitatively, by experiments on the standard benchmark dataset Labeled Faces in t作者: 雕鏤 時(shí)間: 2025-3-22 09:09 作者: 污點(diǎn) 時(shí)間: 2025-3-22 16:12
Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programmingthe procedural space of shapes derived from a grammar. Instead we formulate parsing as a linear binary program which we solve using Dual Decomposition. The algorithm produces plausible approximations of globally optimal segmentations without grammar sampling. It yields state-of-the-art performance o作者: 污點(diǎn) 時(shí)間: 2025-3-22 17:29 作者: 犬儒主義者 時(shí)間: 2025-3-23 00:37
A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolutiono recently proposed methods, Anchored Neighborhood Regression (ANR) and Simple Functions (SF), provide state-of-the-art quality performance. Moreover, ANR is among the fastest known super-resolution methods. ANR learns sparse dictionaries and regressors anchored to the dictionary atoms. SF relies on作者: macular-edema 時(shí)間: 2025-3-23 02:26 作者: 哎呦 時(shí)間: 2025-3-23 08:28 作者: Oscillate 時(shí)間: 2025-3-23 13:23
A Novel Context-Aware Topic Model for Category Discovery in Natural Scenesariability in them. This paper proposes a novel context-aware topic model for category discovery in complex natural scenes. The proposed model constructs a generative probabilistic procedure from three-level features consisting of patch, region and the entire image by introducing latent topic variab作者: 固定某物 時(shí)間: 2025-3-23 15:43 作者: entrance 時(shí)間: 2025-3-23 20:25
DisLocation: Scalable Descriptor Distinctiveness for Location Recognitions made difficult by plenty of non-distinctive features which commonly occur in imagery of urban environments, such as generic modern windows, doors, cars, trees, etc. The focus of this work is to adapt standard Hamming Embedding retrieval system to account for varying descriptor distinctiveness. To 作者: Harridan 時(shí)間: 2025-3-24 00:16 作者: MIRTH 時(shí)間: 2025-3-24 02:57 作者: 起來(lái)了 時(shí)間: 2025-3-24 07:37 作者: MEET 時(shí)間: 2025-3-24 13:47 作者: Awning 時(shí)間: 2025-3-24 15:44 作者: 不愿 時(shí)間: 2025-3-24 20:35 作者: CAGE 時(shí)間: 2025-3-25 02:53 作者: 肉體 時(shí)間: 2025-3-25 04:03 作者: lethal 時(shí)間: 2025-3-25 10:25 作者: Oratory 時(shí)間: 2025-3-25 14:56 作者: 轉(zhuǎn)向 時(shí)間: 2025-3-25 17:16 作者: Myocyte 時(shí)間: 2025-3-25 22:30
Robust Sharpness Metrics Using Reorganized DCT Coefficients for Auto-Focus Applicationarpness/blurriness metrics, this metric is very efficient in sharpness measurement for images with different contents, and can be used in real-time auto-focus application. Experiments show that it correlates well with perceived sharpness.作者: sparse 時(shí)間: 2025-3-26 03:27
DisLocation: Scalable Descriptor Distinctiveness for Location Recognitione negligible (1?%)..The method is evaluated on standard publicly available large-scale place recognition benchmarks containing street-view imagery of Pittsburgh and San Francisco. DisLoc is shown to outperform all baselines, while setting the new state-of-the-art on both benchmarks. The method is co作者: 裹住 時(shí)間: 2025-3-26 07:25
Discriminative Collaborative Representation for Classificationadvantage of being efficient as CRC, while at the same time showing even stronger discriminative power than existing dictionary learning methods. Extensive experiments on nine widely used benchmark datasets for both controlled and uncontrolled classification tasks demonstrate its consistent effectiv作者: 藕床生厭倦 時(shí)間: 2025-3-26 10:15
Consistent Foreground Co-segmentationrative constrained clustering algorithm is then proposed to trim away the incorrect and accidental linkage relationships. The clustering algorithm also performs automatic model selection to estimate the number of individual objects in the foreground (e.g. male and female birds in courtship), while a作者: 諷刺滑稽戲劇 時(shí)間: 2025-3-26 13:30 作者: Parabola 時(shí)間: 2025-3-26 19:57
Computer Vision -- ACCV 2014978-3-319-16817-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: embolus 時(shí)間: 2025-3-26 23:07 作者: ASSAY 時(shí)間: 2025-3-27 04:47 作者: saturated-fat 時(shí)間: 2025-3-27 06:34
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234013.jpg作者: Osteons 時(shí)間: 2025-3-27 13:26
https://doi.org/10.1007/978-3-319-16817-3Action recognition; Aerial images; Camera calibration; City-scale; Data Mining; Differential constraints; 作者: Arb853 時(shí)間: 2025-3-27 17:03 作者: Hyperalgesia 時(shí)間: 2025-3-27 19:44
Cutaneous Arteries of the Lower Extremityays defined by the local distribution or histogram. But the huge expense of computing the distribution hampers the popularity of these filters in real-time or interactive-rate systems. In this paper, we present an efficient and practical method to estimate the local weighted distribution for the wei作者: collateral 時(shí)間: 2025-3-28 00:58
The Cutaneous Arteries of the Human Bodyregation methods; six unsupervised and four supervised learning methods are tested on two existing eye fixation datasets. Results show that a simple average of the TOP 2 saliency maps significantly outperforms the best saliency models. Considering more saliency models tends to decrease the performan作者: ORE 時(shí)間: 2025-3-28 05:14
Cutaneous Arteries of the Lower Extremityle, subtle/micro-expressions are rarely analyzed, due to three main difficulties: inter-class similarity (hardly discriminate facial expressions of two subtle emotional states from a person), intra-class dissimilarity (different facial morphology and behaviors of two subjects in one subtle emotion s作者: 我就不公正 時(shí)間: 2025-3-28 06:34
Polina Yu. Grosheva,Nataliya V. Bondarchukons at the right locations and scales, for identity based matching of face images. It performs well in the presence of occlusions, by avoiding the occluded regions and selecting the next best visible regions. We show quantitatively, by experiments on the standard benchmark dataset Labeled Faces in t作者: 分貝 時(shí)間: 2025-3-28 12:28 作者: lethal 時(shí)間: 2025-3-28 17:30 作者: zonules 時(shí)間: 2025-3-28 19:05 作者: Hirsutism 時(shí)間: 2025-3-29 00:10
Pre-incident Planning and Analysis,o recently proposed methods, Anchored Neighborhood Regression (ANR) and Simple Functions (SF), provide state-of-the-art quality performance. Moreover, ANR is among the fastest known super-resolution methods. ANR learns sparse dictionaries and regressors anchored to the dictionary atoms. SF relies on作者: 極端的正確性 時(shí)間: 2025-3-29 05:41 作者: dagger 時(shí)間: 2025-3-29 10:00
The Empty Subject: Void-in-Itself,s. Therefore, for visual-based expression analysis, localizing the action parts and encoding them effectively become two essential but challenging problems. To take them into account jointly for expression analysis, in this paper, we propose to adapt 3D Convolutional Neural Networks (3D CNN) with de作者: averse 時(shí)間: 2025-3-29 14:39
The Undead Subject: Virtual Monsters,ariability in them. This paper proposes a novel context-aware topic model for category discovery in complex natural scenes. The proposed model constructs a generative probabilistic procedure from three-level features consisting of patch, region and the entire image by introducing latent topic variab作者: ESPY 時(shí)間: 2025-3-29 17:29 作者: Lice692 時(shí)間: 2025-3-29 23:03
Howard B. Kaplan,Glen C. Tolle Jr.s made difficult by plenty of non-distinctive features which commonly occur in imagery of urban environments, such as generic modern windows, doors, cars, trees, etc. The focus of this work is to adapt standard Hamming Embedding retrieval system to account for varying descriptor distinctiveness. To 作者: 一再遛 時(shí)間: 2025-3-30 02:24 作者: verdict 時(shí)間: 2025-3-30 07:51 作者: 會(huì)議 時(shí)間: 2025-3-30 12:12 作者: 有罪 時(shí)間: 2025-3-30 14:20 作者: BRIDE 時(shí)間: 2025-3-30 17:37
Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programmingthe procedural space of shapes derived from a grammar. Instead we formulate parsing as a linear binary program which we solve using Dual Decomposition. The algorithm produces plausible approximations of globally optimal segmentations without grammar sampling. It yields state-of-the-art performance on standard datasets.作者: A保存的 時(shí)間: 2025-3-30 22:35
0302-9743 12th Asian Conference on Computer Vision, ACCV 2014, held in Singapore, Singapore, in November 2014. The total of 227 contributions presented in these volumes was carefully reviewed and selected from 814 submissions. The papers are organized in topical sections on recognition; 3D vision; low-level v作者: pus840 時(shí)間: 2025-3-31 01:37
Thread-Safe: Towards Recognizing Human Actions Across Shot Boundariespropose composing a video into threads of related shots, removing some of the discontinuities due to shot boundaries; and third, we show the benefits of utilizing video threads in recognizing human actions. The experiments demonstrate that human action retrieval accuracy can be improved using threads.作者: Enervate 時(shí)間: 2025-3-31 05:20
0302-9743 ision and features; segmentation; face and gesture, tracking; stereo, physics, video and events; and poster sessions 1-3.978-3-319-16816-6978-3-319-16817-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 褻瀆 時(shí)間: 2025-3-31 10:02
Cutaneous Arteries of the Lower Extremityalso adaptive to the structure of the input image. The proposed accelerated weighted median/mode filters are effective and efficient for a variety of applications, which have comparable performance against the current state-of-the-art counterparts and cost only a fraction of their execution time.作者: 綠州 時(shí)間: 2025-3-31 17:07
Valery A. Tsvetkov,Mikhail N. Dudintraction technique for point context and contour segments as well as (ii) a new fused similarity measure for object matching and recognition, and (iii) the impressive robustness of the method in an object retrieval scenario as well as in a real application for environmental microorganism recognition.作者: LOPE 時(shí)間: 2025-3-31 19:55
Pre-incident Planning and Analysis,o SF. We validate our method on standard images and compare with state-of-the-art methods. We obtain improved quality (. 0.2–0.7?dB PSNR better than ANR) and excellent time complexity, rendering A+ the most efficient dictionary-based super-resolution method to date.作者: obligation 時(shí)間: 2025-4-1 01:31
