標題: Titlebook: Computer Vision - ECCV 2008; 10th European Confer David Forsyth,Philip Torr,Andrew Zisserman Conference proceedings 2008 Springer-Verlag Be [打印本頁] 作者: Stubborn 時間: 2025-3-21 19:40
書目名稱Computer Vision - ECCV 2008影響因子(影響力)
書目名稱Computer Vision - ECCV 2008影響因子(影響力)學科排名
書目名稱Computer Vision - ECCV 2008網(wǎng)絡公開度
書目名稱Computer Vision - ECCV 2008網(wǎng)絡公開度學科排名
書目名稱Computer Vision - ECCV 2008被引頻次
書目名稱Computer Vision - ECCV 2008被引頻次學科排名
書目名稱Computer Vision - ECCV 2008年度引用
書目名稱Computer Vision - ECCV 2008年度引用學科排名
書目名稱Computer Vision - ECCV 2008讀者反饋
書目名稱Computer Vision - ECCV 2008讀者反饋學科排名
作者: Cuisine 時間: 2025-3-22 00:10
Learning Spatial Context: Using Stuff to Find Things improve our detection ability over state-of-the-art detectors. We also present a method for learning the active set of relationships for a particular dataset. We present results on object detection in images from the PASCAL VOC 2005/2006 datasets and on the task of overhead car detection in satelli作者: insidious 時間: 2025-3-22 02:57
Segmentation and Recognition Using Structure from Motion Point Clouds are possible using only motion and 3D world structure. Further, we show that the motion-derived information complements an existing state-of-the-art appearance-based method, improving both qualitative and quantitative performance.作者: 暴露他抗議 時間: 2025-3-22 05:51 作者: constellation 時間: 2025-3-22 09:23 作者: 豐滿中國 時間: 2025-3-22 13:48 作者: 豐滿中國 時間: 2025-3-22 20:10 作者: 沒有希望 時間: 2025-3-22 21:32
0302-9743 We are very proud that every paper received at least three reviews. At this point, authors were able to respond to reviews. The Area Chairs then needed to reac978-3-540-88681-5978-3-540-88682-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 敏捷 時間: 2025-3-23 04:36 作者: invert 時間: 2025-3-23 07:25 作者: 運動性 時間: 2025-3-23 11:19
New Ways to?Garble Arithmetic Circuits are possible using only motion and 3D world structure. Further, we show that the motion-derived information complements an existing state-of-the-art appearance-based method, improving both qualitative and quantitative performance.作者: 責問 時間: 2025-3-23 14:25
Lecture Notes in Computer Sciencethe choice of the most efficient search action at each step is guided intuitively and rigorously by expected Shannon information gain. We demonstrate the algorithm in feature matching as part of a sequential SLAM system for 3D camera tracking. Robust, real-time matching can be achieved even in the p作者: encomiast 時間: 2025-3-23 19:29
Ashrujit Ghoshal,Mingxun Zhou,Elaine Shintation results than the parametric methods using shape prior information. Comparative results on segmenting ventricle frontal horn and putamen shapes in MR brain images confirm both robustness and accuracy of the proposed joint curve evolution algorithm.作者: 柏樹 時間: 2025-3-24 01:10
Advances in Cryptology – EUROCRYPT 2024images is determined by human observers. Distance measures are analyzed how they mimic differences in color naturalness of images as obtained by humans..Based on the theoretical and experimental results on spectral and real-world data sets, it can be concluded that the perceptual Euclidean distance 作者: 不適 時間: 2025-3-24 06:13
Towards Scalable Dataset Construction: An Active Learning Approach作者: 收藏品 時間: 2025-3-24 06:44 作者: 禁令 時間: 2025-3-24 14:22
Semidefinite Programming Heuristics for Surface Reconstruction Ambiguities作者: Meander 時間: 2025-3-24 14:54
Arasu Arun,Srinath Setty,Justin Thaler. Our construction uses labeled examples to build activity models, and unlabeled, but corresponding, examples to build an implicit model of how appearance changes with aspect. We demonstrate our method with challenging sequences of real human motion, where discriminative methods built on appearance alone fail badly.作者: intention 時間: 2025-3-24 21:40
Pratish Datta,Ilan Komargodski,Brent Waterse computational efficiency by using a branch-and-bound strategy for localization during both training and testing. Experimental evaluation on the PASCAL VOC and TU Darmstadt datasets show that the structured training procedure improves performance over binary training as well as the best previously published scores.作者: 指派 時間: 2025-3-25 00:32
New Ways to?Garble Arithmetic Circuits fact that if we train a Randomized Tree classifier to recognize a number of keypoints extracted from an image database, all other keypoints can be characterized in terms of their response to these classification trees. This signature is fast to compute and has a discriminative power that is comparable to that of the much slower SIFT descriptor.作者: 難理解 時間: 2025-3-25 05:32
Yingxin Li,Fukang Liu,Gaoli WangILSS. We show highly competitive object categorization results on the Caltech dataset. To evaluate the performance of our algorithm further, we introduce the challenging Landmarks-18 dataset, a collection of photographs of famous landmarks from around the world. The results on this new dataset show the great potential of our proposed algorithm.作者: 凝結劑 時間: 2025-3-25 11:31 作者: 芭蕾舞女演員 時間: 2025-3-25 13:29 作者: 通知 時間: 2025-3-25 17:57 作者: 正式演說 時間: 2025-3-25 23:30
Keypoint Signatures for Fast Learning and Recognition fact that if we train a Randomized Tree classifier to recognize a number of keypoints extracted from an image database, all other keypoints can be characterized in terms of their response to these classification trees. This signature is fast to compute and has a discriminative power that is comparable to that of the much slower SIFT descriptor.作者: 解決 時間: 2025-3-26 00:27 作者: accrete 時間: 2025-3-26 08:16
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Cornersuperior performance to other state-of-the-art approaches (including those based upon sparse feature detectors). Furthermore, the approach requires only weak supervision in the form of class labels for each training sequence. No ground truth position or temporal alignment is required during training.作者: LUDE 時間: 2025-3-26 10:09
Semi-supervised On-Line Boosting for Robust Tracking given prior and an on-line classifier. This comes without any parameter tuning. In the experiments, we demonstrate real-time tracking of our SemiBoost tracker on several challenging test sequences where our tracker outperforms other on-line tracking methods.作者: indemnify 時間: 2025-3-26 14:53 作者: CLASH 時間: 2025-3-26 20:46 作者: interrupt 時間: 2025-3-26 23:30 作者: 碎石頭 時間: 2025-3-27 05:03 作者: 千篇一律 時間: 2025-3-27 05:49 作者: 細頸瓶 時間: 2025-3-27 11:40 作者: precede 時間: 2025-3-27 15:40
0302-9743 oduce them, a total of 871 papers were reviewed. Forty were selected for oral pres- tation and 203 were selected for poster presentation, yielding acceptance rates of 4.6% for oral, 23.3% for poster, and 27.9% in total. Weappliedthreeprinciples.First,sincewehadastronggroupofAreaChairs, the ?nal deci作者: Bother 時間: 2025-3-27 18:10 作者: 入伍儀式 時間: 2025-3-28 01:24
Conference proceedings 2008, a total of 871 papers were reviewed. Forty were selected for oral pres- tation and 203 were selected for poster presentation, yielding acceptance rates of 4.6% for oral, 23.3% for poster, and 27.9% in total. Weappliedthreeprinciples.First,sincewehadastronggroupofAreaChairs, the ?nal decisions to a作者: 別名 時間: 2025-3-28 06:07
Something Old, Something New, Something Borrowed, Something Bluerk in cybernetics, psychology, physics, mathematics and philosophy) till my retirement earlier this year (hence the slightly blue feeling), thus my career roughly covers the history of the field. “Vision” has diverse connotations. The fundamental dichotomy is between “optically guided action” and “v作者: 鬧劇 時間: 2025-3-28 09:04
Learning to Localize Objects with Structured Output Regression a way that is not specific to the localization task. First a binary classifier is trained using a sample of positive and negative examples, and this classifier is subsequently applied to multiple regions within test images. We propose instead to treat object localization in a principled way by posi作者: Amenable 時間: 2025-3-28 10:41
Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiersect classes. Most approaches use co-occurrence of “nouns” and image features over large datasets to determine the correspondence, but many correspondence ambiguities remain. We further constrain the correspondence problem by exploiting additional language constructs to improve the learning process f作者: ADOPT 時間: 2025-3-28 16:21 作者: Overdose 時間: 2025-3-28 19:31
Segmentation and Recognition Using Structure from Motion Point Cloudscific patterns of motion and 3D world structure that vary with object category. We introduce features that project the 3D cues back to the 2D image plane while modeling spatial layout and context. A randomized decision forest combines many such features to achieve a coherent 2D segmentation and reco作者: ectropion 時間: 2025-3-28 23:57 作者: Coronary-Spasm 時間: 2025-3-29 03:32 作者: TRACE 時間: 2025-3-29 08:46 作者: 任意 時間: 2025-3-29 14:51 作者: deviate 時間: 2025-3-29 17:49 作者: 不理會 時間: 2025-3-29 22:37
Localizing Objects with Smart Dictionariesbrute-force approach made feasible by three key developments: First, our method reduces the size of a large generic dictionary (on the order of ten thousand words) to the low hundreds while increasing classification performance compared to .-means. This is achieved by creating a discriminative dicti作者: 連鎖,連串 時間: 2025-3-30 02:04
Weakly Supervised Object Localization with Stable Segmentations suited for the task of learning object classifiers from weakly labeled image data, where only the presence of an object in an image is known, but not its location. Some recent work has explored the application of MIL algorithms to the tasks of image categorization and natural scene classification. 作者: 笨拙的你 時間: 2025-3-30 06:19
A Perceptual Comparison of Distance Measures for Color Constancy Algorithmster vision. As many color constancy algorithms exist, different distance measures are used to compute their accuracy. In general, these distances measures are based on mathematical principles such as the angular error and Euclidean distance. However, it is unknown to what extent these distance measu作者: 聯(lián)想 時間: 2025-3-30 11:31
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Cornersneered” to be both sparse and invariant to transformation and it is assumed that they provide the greatest discriminative information. To tackle activity recognition, we propose learning compound features that are assembled from simple 2D corners in both space and time. Each corner is encoded in rel作者: CRAB 時間: 2025-3-30 16:17
Semi-supervised On-Line Boosting for Robust Trackingcurrent view of the object from its surrounding background needs to be discriminiated. However, on-line adaption faces one key problem: Each update of the tracker may introduce an error which, finally, can lead to tracking failure (drifting). The contribution of this paper is a novel on-line semi-su作者: FRONT 時間: 2025-3-30 18:00
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234146.jpg作者: 大酒杯 時間: 2025-3-30 23:17
https://doi.org/10.1007/978-3-540-88682-2action recognition; aerial imagery; algorithms; edge detection; motion capture; multi body tracking; multi作者: Crayon 時間: 2025-3-31 04:22 作者: 容易生皺紋 時間: 2025-3-31 08:35 作者: 敏捷 時間: 2025-3-31 11:44
Advances in Cryptology – EUROCRYPT 2023rk in cybernetics, psychology, physics, mathematics and philosophy) till my retirement earlier this year (hence the slightly blue feeling), thus my career roughly covers the history of the field. “Vision” has diverse connotations. The fundamental dichotomy is between “optically guided action” and “v作者: 施舍 時間: 2025-3-31 16:25
Pratish Datta,Ilan Komargodski,Brent Waters a way that is not specific to the localization task. First a binary classifier is trained using a sample of positive and negative examples, and this classifier is subsequently applied to multiple regions within test images. We propose instead to treat object localization in a principled way by posi作者: 焦慮 時間: 2025-3-31 20:46 作者: Tremor 時間: 2025-4-1 01:22 作者: myalgia 時間: 2025-4-1 05:11
New Ways to?Garble Arithmetic Circuitscific patterns of motion and 3D world structure that vary with object category. We introduce features that project the 3D cues back to the 2D image plane while modeling spatial layout and context. A randomized decision forest combines many such features to achieve a coherent 2D segmentation and reco作者: 柔聲地說 時間: 2025-4-1 07:58
New Ways to?Garble Arithmetic Circuitsoints. However, the training itself is usually relatively slow and performed offline. Although methods have recently been proposed to train the classifier online, they can only learn a very limited number of new keypoints. This represents a handicap for real-time applications, such as Simultaneous L
