作者: 確定無疑 時間: 2025-3-21 22:22 作者: 樂章 時間: 2025-3-22 00:38
MobileFace: 3D Face Reconstruction with Efficient CNN Regressiond costly methods preventing real-time applications. In this work we design a compact and fast CNN model enabling real-time face reconstruction on mobile devices. For this purpose, we first study more traditional but slow morphable face models and use them to automatically annotate a large set of ima作者: intolerance 時間: 2025-3-22 06:49 作者: 圖畫文字 時間: 2025-3-22 09:42
Non-rigid 3D Shape Registration Using an Adaptive Templated; (2) an adaptive shape template method to improve the convergence of registration algorithms and achieve a better final shape correspondence and (3) a new iterative registration method that combines Iterative Closest Points with Coherent Point Drift (CPD) to achieve a more stable and accurate corr作者: 粗魯性質 時間: 2025-3-22 13:31
3D Human Body Reconstruction from a Single Image via Volumetric Regressionsion. The proposed method does not require the fitting of a shape model and can be trained to work from a variety of input types, whether it be landmarks, images or segmentation masks. Additionally, non-visible parts, either self-occluded or otherwise, are still reconstructed, which is not the case 作者: 粗魯性質 時間: 2025-3-22 20:02 作者: 自然環(huán)境 時間: 2025-3-22 21:47 作者: 儲備 時間: 2025-3-23 02:22
MoQA – A Multi-modal Question Answering Architecturetbook Question Answering (TQA) focuses on questions based on the school curricula, where the text and diagrams are extracted from textbooks. A subset of questions cannot be answered solely based on diagrams, but requires external knowledge of the surrounding text. In this work, we propose a novel de作者: machination 時間: 2025-3-23 07:47
Quantifying the Amount of Visual Information Used by Neural Caption Generatorsmage foils is reported, showing that the extent to which image captioning architectures retain and are sensitive to visual information varies depending on the type of word being generated and the position in the caption as a whole. We motivate this work in the context of broader goals in the field t作者: obsession 時間: 2025-3-23 10:30
Distinctive-Attribute Extraction for Image Captioningn open issue. In previous works, a caption involving semantic description can be generated by applying additional information into the RNNs. In this approach, we propose a distinctive-attribute extraction (DaE) method that extracts attributes which explicitly encourage RNNs to generate an accurate c作者: 難聽的聲音 時間: 2025-3-23 15:05 作者: dyspareunia 時間: 2025-3-23 19:00
Knowing When to Look for What and Where: Evaluating Generation of Spatial Descriptions with Adaptives in end-to-end neural networks, in particular how adaptive attention is informative for generating spatial relations. We show that the model generates spatial relations more on the basis of textual rather than visual features and therefore confirm the previous observations that the learned visual f作者: Vulvodynia 時間: 2025-3-23 23:59
How Clever Is the FiLM Model, and How Clever Can it Be?vely simple and easily transferable architecture. In this paper, we investigate in more detail the ability of FiLM to learn various linguistic constructions. Our results indicate that (a) FiLM is not able to learn relational statements straight away except for very simple instances, (b) training on 作者: epicondylitis 時間: 2025-3-24 05:12
Image-Sensitive Language Modeling for Automatic Speech Recognitionhis paper explores the benefits of introducing the visual modality as context information to automatic speech recognition. We use neural multimodal language models to rescore the recognition results of utterances that describe visual scenes. We provide a comprehensive survey of how much the language作者: 媽媽不開心 時間: 2025-3-24 08:45 作者: 離開 時間: 2025-3-24 11:41 作者: crumble 時間: 2025-3-24 18:25
H. Bj?rke,O. Dragesund,?. Ulltangons. It is not only applicable to human skeletons but also to other kinematic chains for instance animals or industrial robots. We achieve state-of-the-art results on different benchmark databases and real world scenes.作者: reflection 時間: 2025-3-24 22:03 作者: jeopardize 時間: 2025-3-25 01:22
Video Object Segmentation with Referring Expressions and ., with language descriptions of target objects. We show that our approach performs on par with the methods which have access to the object mask on . and is competitive to methods using scribbles on challenging ..作者: 享樂主義者 時間: 2025-3-25 05:35 作者: Obverse 時間: 2025-3-25 08:04 作者: GLUE 時間: 2025-3-25 15:20
https://doi.org/10.1057/9781137466242 a real distribution of 2D poses. Training does not require correspondence between the 2D inputs to either the generator or the discriminator. We apply our approach to the task of 3D human pose estimation. Results on Human3.6M dataset demonstrates that our approach outperforms many previous supervised and weakly supervised approaches.作者: 離開真充足 時間: 2025-3-25 19:47 作者: CHART 時間: 2025-3-25 20:26 作者: attenuate 時間: 2025-3-26 02:50 作者: BRINK 時間: 2025-3-26 08:19 作者: chiropractor 時間: 2025-3-26 08:34
3D Human Body Reconstruction from a Single Image via Volumetric Regressionrks, images or segmentation masks. Additionally, non-visible parts, either self-occluded or otherwise, are still reconstructed, which is not the case with depth map regression. We present results that show that our method can handle both pose variation and detailed reconstruction given appropriate datasets for training.作者: Nebulous 時間: 2025-3-26 14:26 作者: boisterous 時間: 2025-3-26 18:58 作者: Intrepid 時間: 2025-3-26 22:51
0302-9743 ls were selected for inclusion in the proceedings. The workshop topics present a good?orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and?novel applications..978-3-030-11017-8978-3-030-11018-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 培養(yǎng) 時間: 2025-3-27 02:02
A. Saville,I. G. Baxter,D. W. McKayges for CNN training. We then investigate a class of efficient MobileNet CNNs and adapt such models for the task of shape regression. Our evaluation on three datasets demonstrates significant improvements in the speed and the size of our model while maintaining state-of-the-art reconstruction accuracy.作者: Cabinet 時間: 2025-3-27 08:31
European History in Perspectiveespondence establishment than standard CPD. We call this new morphing approach . (ICPD). Our proposed framework is evaluated qualitatively and quantitatively on three datasets: Headspace, BU3D and a synthetic LSFM dataset, and is compared with several other methods. The proposed framework is shown to give state-of-the-art performance.作者: 說笑 時間: 2025-3-27 10:37
https://doi.org/10.1007/978-3-319-92249-2aption. We evaluate the proposed method with a challenge data and verify that this method improves the performance, describing images in more detail. The method can be plugged into various models to improve their performance.作者: Adherent 時間: 2025-3-27 15:50 作者: PACK 時間: 2025-3-27 21:29
Paolo Freguglia,Mariano Giaquinta model improves when adding the image to the conditioning set. The image was introduced to a purely text-based RNN-LM using three different composition methods. Our experiments show that using the visual modality helps the recognition process by a . relative improvement, but can also hurt the results because of overfitting to the visual input.作者: Accomplish 時間: 2025-3-27 22:17 作者: Between 時間: 2025-3-28 05:49 作者: 場所 時間: 2025-3-28 07:31
Distinctive-Attribute Extraction for Image Captioningaption. We evaluate the proposed method with a challenge data and verify that this method improves the performance, describing images in more detail. The method can be plugged into various models to improve their performance.作者: flaggy 時間: 2025-3-28 13:20 作者: 賞錢 時間: 2025-3-28 18:33 作者: SKIFF 時間: 2025-3-28 19:28 作者: –LOUS 時間: 2025-3-28 23:53
Computer Vision – ECCV 2018 Workshops978-3-030-11018-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 別名 時間: 2025-3-29 05:50 作者: HACK 時間: 2025-3-29 10:45
R. C. A. Bannister,D. Harding,S. J. Lockwood spatial similarity of nearby video frames, however, suggests opportunity to reuse computation. Existing work has explored basic feature reuse and feature warping based on optical flow, but has encountered limits to the speedup attainable with these techniques. In this paper, we present a new, two p作者: 擁護 時間: 2025-3-29 11:28 作者: Harbor 時間: 2025-3-29 19:15
A. Saville,I. G. Baxter,D. W. McKayd costly methods preventing real-time applications. In this work we design a compact and fast CNN model enabling real-time face reconstruction on mobile devices. For this purpose, we first study more traditional but slow morphable face models and use them to automatically annotate a large set of ima作者: 為現(xiàn)場 時間: 2025-3-29 20:17
H. Bj?rke,O. Dragesund,?. Ulltangnt a method based on projecting an observation onto a kinematic chain space (KCS). An optimization of the nuclear norm is proposed that implicitly enforces structural properties of the kinematic chain. Unlike other approaches our method is not relying on training data or previously determined constr作者: THE 時間: 2025-3-30 03:18
European History in Perspectived; (2) an adaptive shape template method to improve the convergence of registration algorithms and achieve a better final shape correspondence and (3) a new iterative registration method that combines Iterative Closest Points with Coherent Point Drift (CPD) to achieve a more stable and accurate corr作者: 磨坊 時間: 2025-3-30 06:53 作者: audiologist 時間: 2025-3-30 11:53
https://doi.org/10.1057/9781137466242iven only 2D pose landmarks. Our method does not require correspondences between 2D and 3D points to build explicit 3D priors. We utilize an adversarial framework to impose a prior on the 3D structure, learned solely from their random 2D projections. Given a set of 2D pose landmarks, the generator n作者: Atrium 時間: 2025-3-30 16:07
Bear-Baiting and the Theatre of Crueltyclasses and establishing a semantic relationship to the unseen . classes ....?through the action labels. In order to draw a clear line between . and conventional . classification, the . and . categories must be disjoint. Ensuring this premise is not trivial, especially when the source dataset is ext作者: 負擔 時間: 2025-3-30 17:59
https://doi.org/10.1007/978-3-319-92249-2tbook Question Answering (TQA) focuses on questions based on the school curricula, where the text and diagrams are extracted from textbooks. A subset of questions cannot be answered solely based on diagrams, but requires external knowledge of the surrounding text. In this work, we propose a novel de作者: Ballerina 時間: 2025-3-30 22:30
After Artaud: Peter Brook and , Seasonmage foils is reported, showing that the extent to which image captioning architectures retain and are sensitive to visual information varies depending on the type of word being generated and the position in the caption as a whole. We motivate this work in the context of broader goals in the field t作者: 誰在削木頭 時間: 2025-3-31 00:51 作者: innovation 時間: 2025-3-31 05:56
https://doi.org/10.1007/978-3-319-92249-2 Analyzing attention maps offers us a perspective to find out limitations of current VQA systems and an opportunity to further improve them. In this paper, we select two state-of-the-art VQA approaches with attention mechanisms to study their robustness and disadvantages by visualizing and analyzing