作者: Prognosis 時間: 2025-3-21 21:06
https://doi.org/10.1007/978-3-319-54259-1h includes accurately annotated humans and cameras, and features diverse interactive human motions as well as realistic camera trajectories. Extensive experiments on both standard and newly established benchmarks highlight the superiority and efficacy of our framework. The code and dataset are avail作者: Glaci冰 時間: 2025-3-22 01:01 作者: 一起平行 時間: 2025-3-22 07:32 作者: Pruritus 時間: 2025-3-22 09:36
Dark Tourism and Its Potential in Turkeyobject segmentation, making a significant step towards a GPT moment in computer vision. Through extensive experiments, PSALM demonstrates its potential to transform the domain of image segmentation, leveraging the robust visual understanding capabilities of LMMs as seen in natural language processin作者: 態(tài)學(xué) 時間: 2025-3-22 14:42 作者: 態(tài)學(xué) 時間: 2025-3-22 17:54
Objectives of On-Site Wastewater Disposalixed topology in which the Gaussian centers are bound to the mesh vertices. Afterward, we optimize geometry and texture frame-by-frame alternatively for dynamic head capture while maintaining temporal topology stability. Finally, we can extract dynamic facial meshes in regular wiring arrangement and作者: Asseverate 時間: 2025-3-22 23:59
Thor Axel Stenstr?m,Sven Hoffner us to minimize the modality gap and alleviate semantic ambiguity to combine any modalities in any visual conditions. Then, we introduce a modality-agnostic feature fusion (.) module that reweights the multi-modal features based on the inter-modal correlation and selects the fine-grained feature. Th作者: cravat 時間: 2025-3-23 03:02 作者: theta-waves 時間: 2025-3-23 09:08 作者: 云狀 時間: 2025-3-23 13:16 作者: jealousy 時間: 2025-3-23 17:46 作者: thyroid-hormone 時間: 2025-3-23 18:20 作者: Affection 時間: 2025-3-23 23:17
Moulay Alaoui-Jamali,Rongyao ZhouPES to constrain the inter-class relative position of the substitute model in different directions. In this way, the substitute model is more consistent with the target model in the decision space, so that the generated adversarial samples will be more successful in misleading the target model to cl作者: Explosive 時間: 2025-3-24 02:52
Moulay Alaoui-Jamali,Rongyao Zhou. The first two modules can better initialize queries for line detection, while the last one refines predicted line instances. InsMapper is highly adaptable and can be seamlessly modified to align with the most recent HD map detection frameworks. Extensive experimental evaluations are conducted on t作者: 消散 時間: 2025-3-24 08:54 作者: hypnotic 時間: 2025-3-24 11:46 作者: beta-cells 時間: 2025-3-24 17:00 作者: 他很靈活 時間: 2025-3-24 21:12
,Federated Learning with?Local Openset Noisy Labels,s the problems, we design a label communication mechanism that shares “contrastive labels” randomly selected from clients with the server. The privacy of the shared contrastive labels is protected by label differential privacy (DP). Both the DP guarantee and the effectiveness of our approach are the作者: 否認(rèn) 時間: 2025-3-25 01:42
,Diff3DETR: Agent-Based Diffusion Model for?Semi-supervised 3D Object Detection,and the long-range attention in the transformer decoder to refine bounding boxes incrementally. Extensive experiments on ScanNet and SUN RGB-D datasets demonstrate that Diff3DETR outperforms state-of-the-art semi-supervised 3D object detection methods.作者: Adherent 時間: 2025-3-25 06:14 作者: Original 時間: 2025-3-25 08:47 作者: 使混合 時間: 2025-3-25 12:25
,Topo4D: Topology-Preserving Gaussian Splatting for?High-fidelity 4D Head Capture,ixed topology in which the Gaussian centers are bound to the mesh vertices. Afterward, we optimize geometry and texture frame-by-frame alternatively for dynamic head capture while maintaining temporal topology stability. Finally, we can extract dynamic facial meshes in regular wiring arrangement and作者: orthopedist 時間: 2025-3-25 18:40
,Learning Modality-Agnostic Representation for?Semantic Segmentation from?Any Modalities, us to minimize the modality gap and alleviate semantic ambiguity to combine any modalities in any visual conditions. Then, we introduce a modality-agnostic feature fusion (.) module that reweights the multi-modal features based on the inter-modal correlation and selects the fine-grained feature. Th作者: 包裹 時間: 2025-3-25 23:26 作者: glisten 時間: 2025-3-26 03:21
,Refine, Discriminate and?Align: Stealing Encoders via?Sample-Wise Prototypes and?Multi-relational Eelational extraction loss that trains the surrogate encoder to .iscriminate mismatched embedding-prototype pairs while .ligning those matched ones in terms of both amplitude and angle. In this way, the trained surrogate encoder achieves state-of-the-art results across the board in various downstream作者: 我正派 時間: 2025-3-26 05:31 作者: 外星人 時間: 2025-3-26 09:50 作者: obstruct 時間: 2025-3-26 16:07 作者: 冒失 時間: 2025-3-26 18:41 作者: 無政府主義者 時間: 2025-3-26 21:36
,InsMapper: Exploring Inner-Instance Information for?Vectorized HD Mapping,. The first two modules can better initialize queries for line detection, while the last one refines predicted line instances. InsMapper is highly adaptable and can be seamlessly modified to align with the most recent HD map detection frameworks. Extensive experimental evaluations are conducted on t作者: 牢騷 時間: 2025-3-27 02:07
,KDProR: A Knowledge-Decoupling Probabilistic Framework for?Video-Text Retrieval,h utilizes our proposed Expectation-Knowledge-Maximization (EKM) algorithm for optimization. Specifically, in E-step, KDProR obtains relevant contextual semantics from knowledge stores and achieves efficient knowledge injection through interpolation and alignment correction. During the K-step, KDPro作者: Vaginismus 時間: 2025-3-27 06:43 作者: 圓木可阻礙 時間: 2025-3-27 11:23
Conference proceedings 2025uter Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024...The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforceme作者: 被告 時間: 2025-3-27 15:59
0302-9743 ce on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024...The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; r作者: cyanosis 時間: 2025-3-27 19:06 作者: Optometrist 時間: 2025-3-27 23:25 作者: Ligneous 時間: 2025-3-28 03:22
Moulay Alaoui-Jamali,Rongyao Zhougmentation models. The resulting model, Segment3D, generalizes significantly better than the models trained on costly manual 3D labels and enables easily adding new training data to further boost the segmentation performance.作者: coagulate 時間: 2025-3-28 08:10
U. Kellhammer,B. Giesecke,K. überlan the public TOD dataset. Furthermore, trained on simulated data, CODERS generalize well to unseen category-level object instances in real-world robot manipulation experiments. Our dataset, code, and demos will be available at ..作者: 出生 時間: 2025-3-28 12:40
,Active Coarse-to-Fine Segmentation of?Moveable Parts from?Real Images,45% of the images. This translates to significant (60%) time saving over manual effort required by the best non-AL model to attain the same segmentation accuracy. At last, we contribute a dataset of 2,550 real images with annotated moveable?parts, demonstrating its superior quality and diversity over the best alternatives.作者: 暫時中止 時間: 2025-3-28 15:44 作者: 凌辱 時間: 2025-3-28 20:13 作者: 全國性 時間: 2025-3-29 01:23 作者: Matrimony 時間: 2025-3-29 04:35
,WHAC: World-Grounded Humans and?Cameras,ng and ill-posed problem. In this study, we aim to recover expressive parametric human models (., SMPL-X) and corresponding camera poses jointly, by leveraging the synergy between three critical players: the world, the human, and the camera. Our approach is founded on two key observations. Firstly, 作者: Irrigate 時間: 2025-3-29 08:59 作者: 夾死提手勢 時間: 2025-3-29 12:53
,Diff3DETR: Agent-Based Diffusion Model for?Semi-supervised 3D Object Detection,oint-wise annotations for point clouds is time-consuming and laborious. Recent developments in semi-supervised methods seek to mitigate this problem by employing a teacher-student framework to generate pseudo-labels for unlabeled point clouds. However, these pseudo-labels frequently suffer from insu作者: Fallibility 時間: 2025-3-29 16:40
,PSALM: Pixelwise SegmentAtion with?Large Multi-modal Model,being limited to textual output, PSALM incorporates a mask decoder and a well-designed input schema to handle a variety of segmentation tasks. This schema includes images, task instructions, conditional prompts, and mask tokens, which enable the model to generate and classify segmentation masks effe作者: paltry 時間: 2025-3-29 23:10 作者: 聚集 時間: 2025-3-30 00:45 作者: 極大痛苦 時間: 2025-3-30 07:45
,Topo4D: Topology-Preserving Gaussian Splatting for?High-fidelity 4D Head Capture, aims to generate dynamic topological meshes and corresponding texture maps from videos, which is widely utilized in movies and games for its ability to simulate facial muscle movements and recover dynamic textures in pore-squeezing. The industry often adopts a method involving multi-view stereo and作者: 提煉 時間: 2025-3-30 09:36
,Learning Modality-Agnostic Representation for?Semantic Segmentation from?Any Modalities,ity of existing multi-modal (., Image+X) semantic segmentation methods when confronting modality absence or failure, as often occurred in real-world applications. Inspired by the open-world learning capability of multi-modal vision-language models (MVLMs), we explore a new direction in learning the 作者: 彎曲道理 時間: 2025-3-30 13:30
Kinetic Typography Diffusion Model, guided video diffusion models to achieve visually-pleasing text appearances. To do this, we first construct a kinetic typography dataset, comprising about 600K videos. Our dataset is made from a variety of combinations in 584 templates designed by professional motion graphics designers and involves作者: FILTH 時間: 2025-3-30 20:17
,Refine, Discriminate and?Align: Stealing Encoders via?Sample-Wise Prototypes and?Multi-relational Eined encoders: (1) suboptimal performances attributed to biased optimization objectives, and (2) elevated query costs stemming from the end-to-end paradigm that necessitates querying the target encoder every epoch. Specifically, we initially .efine the representations of the target encoder for each 作者: Hemoptysis 時間: 2025-3-30 23:50 作者: 小卒 時間: 2025-3-31 00:57
GroupDiff: Diffusion-Based Group Portrait Editing,allenging due to the intricate dynamics of human interactions and the diverse gestures. In this work, we present ., a pioneering effort to tackle group photo editing with three dedicated contributions: . Since there are no labeled data for group photo editing, we create a data engine to generate pai作者: BROOK 時間: 2025-3-31 05:02 作者: neurologist 時間: 2025-3-31 12:21
,Inter-Class Topology Alignment for?Efficient Black-Box Substitute Attacks,ver, existing schemes merely train the substitute model to mimic the outputs of the target model without fully simulating the decision space, resulting in the adversarial samples generated by the substitute model being classified into the non-target class by the target model. To alleviate this issue作者: 粘連 時間: 2025-3-31 14:55 作者: CANDY 時間: 2025-3-31 19:42 作者: AGONY 時間: 2025-4-1 00:33 作者: 脫毛 時間: 2025-4-1 05:51 作者: Fsh238 時間: 2025-4-1 06:07
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/242342.jpg作者: Affirm 時間: 2025-4-1 11:50
https://doi.org/10.1007/978-3-319-54259-1or different architectures or sizes, . directly learns the continuous . of neural networks. Once trained, we can sample weights for any-sized network directly from the manifold, even for previously unseen configurations, without retraining. To achieve this ambitious goal, . trains neural implicit fu作者: pantomime 時間: 2025-4-1 18:00
https://doi.org/10.1007/978-3-319-54259-1ng and ill-posed problem. In this study, we aim to recover expressive parametric human models (., SMPL-X) and corresponding camera poses jointly, by leveraging the synergy between three critical players: the world, the human, and the camera. Our approach is founded on two key observations. Firstly, 作者: 性學(xué)院 時間: 2025-4-1 20:33 作者: 爭論 時間: 2025-4-2 00:42
History of Tourism Development in Turkeyoint-wise annotations for point clouds is time-consuming and laborious. Recent developments in semi-supervised methods seek to mitigate this problem by employing a teacher-student framework to generate pseudo-labels for unlabeled point clouds. However, these pseudo-labels frequently suffer from insu作者: perimenopause 時間: 2025-4-2 03:35
Dark Tourism and Its Potential in Turkeybeing limited to textual output, PSALM incorporates a mask decoder and a well-designed input schema to handle a variety of segmentation tasks. This schema includes images, task instructions, conditional prompts, and mask tokens, which enable the model to generate and classify segmentation masks effe作者: exophthalmos 時間: 2025-4-2 10:23
History of Tourism Development in Turkeysigners experiment with the placement and modification of elements to create aesthetic layouts, however, we observed that current discrete diffusion models (DDMs) struggle to correct inharmonious layouts after they have been generated. In this paper, we first provide novel insights into . phenomenon
