作者: 情感 時(shí)間: 2025-3-21 21:21
,CoherentGS: Sparse Novel View Synthesis with?Coherent 3D Gaussians, independently during optimization. Specifically, we introduce single and multiview constraints through an implicit convolutional decoder and a total variation loss, respectively. With the coherency introduced to the Gaussians, we further constrain the optimization through a flow-based loss function作者: Neolithic 時(shí)間: 2025-3-22 01:52
,Visual Grounding for?Object-Level Generalization in?Reinforcement Learning, unseen objects and instructions through comprehensible visual confidence maps, facilitating zero-shot object-level generalization. Single-task experiments prove that our intrinsic reward significantly improves performance on challenging skill learning. In multi-task experiments, through testing on 作者: 松果 時(shí)間: 2025-3-22 08:05
,3DEgo: 3D Editing on?the?Go!,es 3D Gaussian Splatting to create 3D scenes from the multi-view consistent edited frames, capitalizing on the inherent temporal continuity and explicit point cloud data. 3DEgo demonstrates remarkable editing precision, speed, and adaptability across a variety of video sources, as validated by exten作者: Individual 時(shí)間: 2025-3-22 12:23 作者: critique 時(shí)間: 2025-3-22 16:10
,Domain-Adaptive Video Deblurring via?Test-Time Blurring,o produce blurred images based on the pseudo-sharp images extracted during testing. To synthesize blurred images in compliance with the target data distribution, we propose a Domain-adaptive Blur Condition Generation Module to create domain-specific blur conditions for the blurring model. Finally, t作者: critique 時(shí)間: 2025-3-22 18:04 作者: 失誤 時(shí)間: 2025-3-23 00:00
,Progressive Pretext Task Learning for?Human Trajectory Prediction,tage, the model is further enhanced to understand long-term dependencies through a destination prediction task. In the final stage, the model aims to address the entire future trajectory task by taking full advantage of the knowledge from previous stages. To alleviate the knowledge forgetting, we fu作者: FLASK 時(shí)間: 2025-3-23 02:19
,Isomorphic Pruning for?Vision Models,on, heterogeneous sub-structures demonstrate significant divergence in their importance distribution, as opposed to isomorphic structures that present similar importance patterns. This inspires us to perform isolated ranking and comparison on different types of sub-structures for more reliable pruni作者: pulmonary-edema 時(shí)間: 2025-3-23 08:05 作者: 膠水 時(shí)間: 2025-3-23 11:30
,Learning Cross-Hand Policies of?High-DOF Reaching and?Grasping,bjects, and the result shows that our method significantly outperforms the baseline methods. Pioneering the transfer of grasp policies across dexterous grippers, our method effectively demonstrates its potential for learning generalizable and transferable manipulation skills for various robotic hand作者: Androgen 時(shí)間: 2025-3-23 17:19 作者: CHIP 時(shí)間: 2025-3-23 18:35
über Sinn und Wert der Theorienlution module. By leveraging the depth maps and semantic masks as guidance for the 3D-aware super-resolution, we significantly reduce the number of sampling points during volume rendering, thereby reducing the computational cost. Our comparative experiments demonstrate the superiority of our method.作者: 幼兒 時(shí)間: 2025-3-23 22:14
über Sinn und Wert der Theorien independently during optimization. Specifically, we introduce single and multiview constraints through an implicit convolutional decoder and a total variation loss, respectively. With the coherency introduced to the Gaussians, we further constrain the optimization through a flow-based loss function作者: Jargon 時(shí)間: 2025-3-24 03:26
Die Stellungnahme des Kranken zur Krankheit unseen objects and instructions through comprehensible visual confidence maps, facilitating zero-shot object-level generalization. Single-task experiments prove that our intrinsic reward significantly improves performance on challenging skill learning. In multi-task experiments, through testing on 作者: parasite 時(shí)間: 2025-3-24 07:52 作者: 手工藝品 時(shí)間: 2025-3-24 11:49
Die Synthese der Krankheitsbilder,by using the result of the deterministic branch to truncate the reverse process of the diffusion model to control uncertainties. We conduct extensive analyses of DGDM on the Moving MNIST. Furthermore, we evaluate the effectiveness of DGDM on the Pacific Northwest Windstorm (PNW)-Typhoon satellite da作者: Metamorphosis 時(shí)間: 2025-3-24 17:07
Tensorrechnung im Minkowski-Raumo produce blurred images based on the pseudo-sharp images extracted during testing. To synthesize blurred images in compliance with the target data distribution, we propose a Domain-adaptive Blur Condition Generation Module to create domain-specific blur conditions for the blurring model. Finally, t作者: Ingrained 時(shí)間: 2025-3-24 19:02
Differenzialformen auf Mannigfaltigkeitental continuity of segmentation, respectively. Extensive experiments on five tubular structure datasets validate the effectiveness and robustness of our approach. Furthermore, the integration of FFMs with other popular segmentation models such as HR-Net also yields performance enhancement, suggesting作者: 過(guò)度 時(shí)間: 2025-3-25 02:30
https://doi.org/10.1007/978-3-658-36137-2tage, the model is further enhanced to understand long-term dependencies through a destination prediction task. In the final stage, the model aims to address the entire future trajectory task by taking full advantage of the knowledge from previous stages. To alleviate the knowledge forgetting, we fu作者: Myocyte 時(shí)間: 2025-3-25 04:01 作者: 固定某物 時(shí)間: 2025-3-25 09:31
https://doi.org/10.1007/978-3-642-49744-5text query with an auxiliary model like CLIP. Then the heatmap simply multiplies the pixel values of the original image to obtain the actual input image for the LVLM. Extensive experiments on various vison-language benchmarks verify the effectiveness of our technique. For example, . improves LLaVA-1作者: BATE 時(shí)間: 2025-3-25 14:59
Die Sinneserfahrung als Erkenntnisquellebjects, and the result shows that our method significantly outperforms the baseline methods. Pioneering the transfer of grasp policies across dexterous grippers, our method effectively demonstrates its potential for learning generalizable and transferable manipulation skills for various robotic hand作者: Definitive 時(shí)間: 2025-3-25 19:03 作者: 子女 時(shí)間: 2025-3-25 20:33
0302-9743 reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation..978-3-031-73403-8978-3-031-73404-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: cushion 時(shí)間: 2025-3-26 01:04
Die Stellungnahme des Kranken zur Krankheit With a dataset size 40 times larger than the NYUv2 dataset, it facilitates future scalable research in indoor scene analysis. Experimental results on both NYUv2 and Occ-ScanNet demonstrate that our method achieves state-of-the-art performance. The dataset and code are made publicly at ..作者: 起草 時(shí)間: 2025-3-26 06:33 作者: Guileless 時(shí)間: 2025-3-26 11:15
Tensorrechnung im Minkowski-Raumis highlights the need for advancements in the safety and real-world usability of end-to-end planners. By publicly releasing our simulator and scenarios as an easy-to-run ., we invite the research community to explore, refine, and validate their AD models in controlled, yet highly configurable and challenging sensor-realistic environments.作者: 參考書(shū)目 時(shí)間: 2025-3-26 14:15
https://doi.org/10.1007/978-3-658-36137-2s-108) over the SOTA model. On the most challenging variant (Pascal-Parts-201), the gain is .. Experimentally, we show that OLAF’s broad applicability enables gains across multiple architectures (CNN, U-Net, Transformer) and datasets. The code is available at ..作者: 浮雕寶石 時(shí)間: 2025-3-26 18:28
Die Einsteinschen Feldgleichungen novel continuous-time Gaussian Belief Propagation (GBP) framework, coined ., which targets decentralized probabilistic inference across agents. We demonstrate the efficacy of our method in motion tracking and localization settings, complemented by empirical ablation studies.. 作者: 過(guò)渡時(shí)期 時(shí)間: 2025-3-26 23:41
Die Eigenschaften der Staatsgewaltinto error-guided masks, and then utilizes these masks to sample points and filter out problematic areas in an iterative manner. The experiments demonstrate that our method outperforms existing SCR approaches that do not rely on 3D information on the Cambridge Landmarks and Indoor6 datasets.作者: Congestion 時(shí)間: 2025-3-27 04:22 作者: Acetabulum 時(shí)間: 2025-3-27 06:00 作者: 連詞 時(shí)間: 2025-3-27 12:46
,NeuroNCAP: Photorealistic Closed-Loop Safety Testing for?Autonomous Driving,is highlights the need for advancements in the safety and real-world usability of end-to-end planners. By publicly releasing our simulator and scenarios as an easy-to-run ., we invite the research community to explore, refine, and validate their AD models in controlled, yet highly configurable and challenging sensor-realistic environments.作者: LATHE 時(shí)間: 2025-3-27 13:57 作者: 紀(jì)念 時(shí)間: 2025-3-27 21:17 作者: 踉蹌 時(shí)間: 2025-3-28 00:12
,Reprojection Errors as?Prompts for?Efficient Scene Coordinate Regression,into error-guided masks, and then utilizes these masks to sample points and filter out problematic areas in an iterative manner. The experiments demonstrate that our method outperforms existing SCR approaches that do not rely on 3D information on the Cambridge Landmarks and Indoor6 datasets.作者: Ornithologist 時(shí)間: 2025-3-28 03:29 作者: Alpha-Cells 時(shí)間: 2025-3-28 07:20 作者: 柏樹(shù) 時(shí)間: 2025-3-28 13:27 作者: Minutes 時(shí)間: 2025-3-28 15:41
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: STENT 時(shí)間: 2025-3-28 22:40 作者: 漸變 時(shí)間: 2025-3-29 01:00 作者: foppish 時(shí)間: 2025-3-29 03:56 作者: Antioxidant 時(shí)間: 2025-3-29 11:06 作者: definition 時(shí)間: 2025-3-29 15:05
,Visual Grounding for?Object-Level Generalization in?Reinforcement Learning,VLM) for visual grounding and transfer its vision-language knowledge into reinforcement learning (RL) for object-centric tasks, which makes the agent capable of zero-shot generalization to unseen objects and instructions. By visual grounding, we obtain an object-grounded confidence map for the targe作者: licence 時(shí)間: 2025-3-29 18:40 作者: 丑惡 時(shí)間: 2025-3-29 22:25 作者: embolus 時(shí)間: 2025-3-30 01:29 作者: 卷發(fā) 時(shí)間: 2025-3-30 07:17 作者: Cytology 時(shí)間: 2025-3-30 09:16 作者: 挑剔為人 時(shí)間: 2025-3-30 14:42
,NeuroNCAP: Photorealistic Closed-Loop Safety Testing for?Autonomous Driving,p evaluation and the creation of safety-critical scenarios. The simulator learns from sequences of real-world driving sensor data and enables reconfigurations and renderings of new, unseen scenarios. In this work, we use our simulator to test the responses of AD models to safety-critical scenarios i作者: Petechiae 時(shí)間: 2025-3-30 18:25
,OLAF: A Plug-and-Play Framework for?Enhanced Multi-object Multi-part Scene Parsing,ts. To address the task, we propose a plug-and-play approach termed OLAF. First, we augment the input (RGB) with channels containing object-based structural cues (fg/bg mask, boundary edge mask). We propose a weight adaptation technique which enables regular (RGB) pre-trained models to process the a作者: 老人病學(xué) 時(shí)間: 2025-3-31 00:28
,Progressive Pretext Task Learning for?Human Trajectory Prediction,ges from short-term to long-term within a trajectory. However, existing works attempt to address the entire trajectory prediction with a singular, uniform training paradigm, neglecting the distinction between short-term and long-term dynamics in human trajectories. To overcome this limitation, we in作者: conifer 時(shí)間: 2025-3-31 01:26 作者: myocardium 時(shí)間: 2025-3-31 08:03 作者: 平淡而無(wú)味 時(shí)間: 2025-3-31 11:26
,Attention Prompting on?Image for?Large Vision-Language Models,rgent capabilities and demonstrating impressive performance on various vision-language tasks. Motivated by text prompting in LLMs, visual prompting has been explored to enhance LVLMs’ capabilities of perceiving visual information. However, previous visual prompting techniques solely process visual i作者: defuse 時(shí)間: 2025-3-31 14:10
,Learning Cross-Hand Policies of?High-DOF Reaching and?Grasping,eused on another gripper. In this paper, we propose a novel method that can learn a unified policy model that can be easily transferred to different dexterous grippers. Our method consists of two stages: a gripper-agnostic policy model that predicts the displacements of pre-defined key points on the作者: shrill 時(shí)間: 2025-3-31 20:14
,Reprojection Errors as?Prompts for?Efficient Scene Coordinate Regression,r, many existing SCR approaches train on samples from all image regions, including dynamic objects and texture-less areas. Utilizing these areas for optimization during training can potentially hamper the overall performance and efficiency of the model. In this study, we first perform an in-depth an作者: 一再煩擾 時(shí)間: 2025-3-31 22:32 作者: FADE 時(shí)間: 2025-4-1 02:21
,Long-Tail Temporal Action Segmentation with?Group-Wise Temporal Logit Adjustment,temporal action segmentation methods overlook the long tail and fail to recognize tail actions. Existing long-tail methods make class-independent assumptions and struggle to identify tail classes when applied to temporal segmentation frameworks. This work proposes a novel group-wise temporal logit a作者: Spina-Bifida 時(shí)間: 2025-4-1 06:45
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/242318.jpg作者: Substance-Abuse 時(shí)間: 2025-4-1 13:26
über Sinn und Wert der Theorienges. These methods allow control over the pose of the generated 3D human and enable rendering from different viewpoints. However, none of these methods explore semantic disentanglement in human image synthesis, i.e., they can not disentangle the generation of different semantic parts, such as the bo
