標題: Titlebook: Computational Visual Media; 12th International C Fang-Lue Zhang,Andrei Sharf Conference proceedings 2024 The Editor(s) (if applicable) and [打印本頁] 作者: 游牧 時間: 2025-3-21 19:15
書目名稱Computational Visual Media影響因子(影響力)
書目名稱Computational Visual Media影響因子(影響力)學科排名
書目名稱Computational Visual Media網(wǎng)絡公開度
書目名稱Computational Visual Media網(wǎng)絡公開度學科排名
書目名稱Computational Visual Media被引頻次
書目名稱Computational Visual Media被引頻次學科排名
書目名稱Computational Visual Media年度引用
書目名稱Computational Visual Media年度引用學科排名
書目名稱Computational Visual Media讀者反饋
書目名稱Computational Visual Media讀者反饋學科排名
作者: 不確定 時間: 2025-3-21 23:37
Explore and?Enhance the?Generalization of?Anomaly DeepFake Detection These detection methods primarily enhance generalization by constructing pseudo-fake samples, which involve three main steps: mask generation, source-target preprocessing, and blending. In this paper, we conducted a systematic analysis of some core factors in these steps. Based on the aforementione作者: ambivalence 時間: 2025-3-22 00:50 作者: CHART 時間: 2025-3-22 07:17
Face Expression Recognition via?Product-Cross Dual Attention and?Neutral-Aware Anchor Losshis task is challenging due to the ambiguities in expressions and also in the diverse poses and occlusions of the head. To handle this challenging task, recent approaches usually rely on attention mechanism to make the network focus on the most critical regions of a face, or apply a consistency loss作者: 仲裁者 時間: 2025-3-22 11:57 作者: 煩憂 時間: 2025-3-22 16:52
Single-Video Temporal Consistency Enhancement with?Rolling Guidancelic. However, ensuring the temporal consistency of generated videos is still a challenging problem. Most existing algorithms for temporal consistency enhancement rely on the motion cues from a guidance video to filter the temporally inconsistent video. This paper proposes a novel approach that proce作者: 煩憂 時間: 2025-3-22 17:11 作者: organic-matrix 時間: 2025-3-22 22:07
Silhouette-Based 6D Object Pose Estimationwn objects beyond the training datasets, due to the closed-set assumption and the expensive cost of high-quality annotation. Conversely, traditional methods struggle to achieve accurate pose estimation for texture-less objects. In this work, we propose a silhouette-based 6D object pose estimation me作者: Physiatrist 時間: 2025-3-23 04:51
Robust Light Field Depth Estimation over?Occluded and?Specular Regionsh range, with the highest level of consistency indicating the correct depth. These methods are based on the photo consistency of Lambertian surface. However, the photo consistency is broken when occlusion and specular reflection occur. In this paper, a new depth estimation algorithm is proposed to s作者: IRK 時間: 2025-3-23 09:09
Foreground and?Background Separate Adaptive Equilibrium Gradients Loss for?Long-Tail Object Detectioss. However, in the presence of long-tail distribution, the performance is still unsatisfactory. Long-tail data distribution means that a few head classes occupy most of the data, while most of the tail classes are not representative, and tail classes are excessive negatively suppressed during train作者: 安心地散步 時間: 2025-3-23 11:32
Multi-level Patch Transformer for?Style Transfer with?Single Reference Imageof large volumes of style image data. In this work, we present a deep model called . to optimize the mapping between a content image and a single style image by leveraging the strengths of transformer encoders and generative adversarial networks, where we advocate for patch-level operations. Our pro作者: Concomitant 時間: 2025-3-23 17:36
Palette-Based Content-Aware Image Recoloringpulating a small set of representative colors. Many approaches have been proposed for palette extraction and palette-based image recoloring. However, existing methods primarily leverage low-level visual information to extract color palettes, so that different objects with similar colors will share t作者: extrovert 時間: 2025-3-23 22:02
FreeStyler: A Free-Form Stylization Method via?Multimodal Vector Quantizationowever, most existing works only support single-modal guidance, which is not ideal for real-world applications. To tackle this limitation, we propose FreeStyler, a flexible framework for image stylization that is capable of handling various input scenarios. Our approach goes beyond the traditional a作者: landfill 時間: 2025-3-23 22:52
Denoised Dual-Level Contrastive Network for?Weakly-Supervised Temporal Sentence Grounding labeling the temporal boundaries, weakly-supervised methods have drawn increasing attention. Most of the weakly-supervised methods heavily rely on aligning the visual and textual modalities, ignoring modeling the confusing snippets within a video and non-discriminative snippets across different vid作者: 漂亮 時間: 2025-3-24 03:14
13 B,H,S 1-Thia-,-decaborane(9),egy (NRS) modules. BBMG leverages the inherent characteristics of boundary blur to simulate a comprehensive range of tampering techniques, enabling a more realistic representation of real-world scenarios. In conjunction with BBMG, the NRS module effectively mitigates the influence of noise samples. 作者: exclamation 時間: 2025-3-24 09:28
14 B,H,S 1-Thia-,-dodecaborane(11),lity prediction function from data. We evaluate the proposed method for different powerful FR models on two classical video-based (or template-based) benchmarks IJB-B and YTF. Extensive experiments show that, although the tinyFQnet is much smaller than the others, the proposed method outperforms sta作者: 過去分詞 時間: 2025-3-24 11:29
,6 Ar3H2S Hydrogen sulfide – argon (3/1),, they do not consider the arousal degree of an expression. We propose a neutral-expression-aware expression feature similarity loss based on the traditional anchor loss, which can further guide the network to learn better features from an input image. Extensive experiments demonstrate the advantage作者: 危險 時間: 2025-3-24 18:04 作者: 衣服 時間: 2025-3-24 21:33
12 BH4Na Sodium tetrahydroborate,y when the datasets contain a small number of samples. We also demonstrate that the structured layout space constructed by our method enables structure blending between structured layouts. We will release our code upon the acceptance of the paper.作者: 乳白光 時間: 2025-3-25 00:02 作者: 值得 時間: 2025-3-25 06:33
,6 Ar3H2S Hydrogen sulfide – argon (3/1),ency, we propose a voting method to select the un-occluded pixels to obtain the initial depth of the occluded point. We use a method to determine the specular region based on similar features of color and texture in the superpixel region and then present an optimization energy function to obtain the作者: 乳白光 時間: 2025-3-25 10:12 作者: lymphedema 時間: 2025-3-25 13:20
https://doi.org/10.1007/978-3-540-47532-3ontent preservation and stylizing effects. Experiments and a user study confirm that our method substantially outperforms the state-of-the-art style transfer methods when both the style and content domain only contain one image each.作者: 彩色的蠟筆 時間: 2025-3-25 18:06 作者: 物質 時間: 2025-3-26 00:00 作者: 勉強 時間: 2025-3-26 01:44 作者: cortex 時間: 2025-3-26 06:27
Explore and?Enhance the?Generalization of?Anomaly DeepFake Detectionegy (NRS) modules. BBMG leverages the inherent characteristics of boundary blur to simulate a comprehensive range of tampering techniques, enabling a more realistic representation of real-world scenarios. In conjunction with BBMG, the NRS module effectively mitigates the influence of noise samples. 作者: Obstruction 時間: 2025-3-26 09:03 作者: 壟斷 時間: 2025-3-26 13:18
Face Expression Recognition via?Product-Cross Dual Attention and?Neutral-Aware Anchor Loss, they do not consider the arousal degree of an expression. We propose a neutral-expression-aware expression feature similarity loss based on the traditional anchor loss, which can further guide the network to learn better features from an input image. Extensive experiments demonstrate the advantage作者: 證明無罪 時間: 2025-3-26 17:03 作者: 撕裂皮肉 時間: 2025-3-26 21:56
: Learning General Trees for?Structured Grid Layout Generationy when the datasets contain a small number of samples. We also demonstrate that the structured layout space constructed by our method enables structure blending between structured layouts. We will release our code upon the acceptance of the paper.作者: NIL 時間: 2025-3-27 01:33
Silhouette-Based 6D Object Pose Estimationto perform pose estimation through search, rendering, and comparison in a reduced-dimensional space efficiently and accurately. Experimental results demonstrate the high precision and generalization of the proposed method. Our code is available at ..作者: poliosis 時間: 2025-3-27 07:05
Robust Light Field Depth Estimation over?Occluded and?Specular Regionsency, we propose a voting method to select the un-occluded pixels to obtain the initial depth of the occluded point. We use a method to determine the specular region based on similar features of color and texture in the superpixel region and then present an optimization energy function to obtain the作者: 玩忽職守 時間: 2025-3-27 10:38
Foreground and?Background Separate Adaptive Equilibrium Gradients Loss for?Long-Tail Object Detectioategories to weight different classes, then adaptively leverage the suppression of head classes according to the logit value of the network output. Meanwhile, dynamically adjusting the suppression gradient of the background classes to protect the head and common classes while improving the detection作者: occult 時間: 2025-3-27 15:44 作者: 謊言 時間: 2025-3-27 21:18 作者: 富足女人 時間: 2025-3-27 22:35 作者: FOVEA 時間: 2025-3-28 02:40
Denoised Dual-Level Contrastive Network for?Weakly-Supervised Temporal Sentence Groundingintra-video and inter-video loss. Moreover, a ranking weight strategy is presented to select high-quality positive and negative pairs during training. Afterward, an effective pseudo-label denoised process is introduced to alleviate the noisy activations caused by the video-level annotations, thereby作者: GLADE 時間: 2025-3-28 10:17 作者: aristocracy 時間: 2025-3-28 12:49 作者: 消息靈通 時間: 2025-3-28 15:47 作者: 厭惡 時間: 2025-3-28 22:20 作者: Malleable 時間: 2025-3-28 23:50
0302-9743 ton, New Zealand, in April 2024..The 34 full papers were carefully reviewed and selected from 212 submissions. The papers are organized in topical sections as follows:.Part I: Reconstruction and Modelling, Point Cloud, Rendering and Animation, User Interations..Part II: Facial Images, Image Generati作者: aplomb 時間: 2025-3-29 05:58 作者: colloquial 時間: 2025-3-29 08:13 作者: flourish 時間: 2025-3-29 11:44 作者: forager 時間: 2025-3-29 19:03 作者: ectropion 時間: 2025-3-29 20:10
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233216.jpg作者: 壟斷 時間: 2025-3-30 03:10 作者: Interdict 時間: 2025-3-30 07:51
13 B,H,S 1-Thia-,-decaborane(9), These detection methods primarily enhance generalization by constructing pseudo-fake samples, which involve three main steps: mask generation, source-target preprocessing, and blending. In this paper, we conducted a systematic analysis of some core factors in these steps. Based on the aforementione
