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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23095 条 记 录,以下是201-210 订阅
排序:
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving
AIDE: An Automatic Data Engine for Object Detection in Auton...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liang, Mingfu Sue, Jong-Chyi Schulter, Samuel Garg, Sparsh Zhao, Shiyu Wu, Ying Chandraker, Manmohan Northwestern Univ Evanston IL 60208 USA NEC Labs Amer Princeton NJ USA Rutgers State Univ New Brunswick NJ USA Univ Calif San Diego San Diego CA USA
Autonomous vehicle (AV) systems rely on robust perception models as a cornerstone of safety assurance. However, objects encountered on the road exhibit a long-tailed distribution, with rare or unseen categories posing... 详细信息
来源: 评论
Intrinsic Image Diffusion for Indoor Single-view Material Estimation
Intrinsic Image Diffusion for Indoor Single-view Material Es...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kocsis, Peter Sitzmann, Vincent Niessner, Matthias Tech Univ Munich Munich Germany MIT EECS Cambridge MA 02139 USA
We present Intrinsic Image Diffusion, a generative model for appearance decomposition of indoor scenes. Given a single input view, we sample multiple possible material explanations represented as albedo, roughness, an... 详细信息
来源: 评论
Solving Masked Jigsaw Puzzles with Diffusion vision Transformers
Solving Masked Jigsaw Puzzles with Diffusion Vision Transfor...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Jinyang Teshome, Wondmgezahu Ghimire, Sandesh Sznaier, Mario Camps, Octavia Northeastern Univ Boston MA 02115 USA Qualcomm San Diego CA USA
Solving image and video jigsaw puzzles poses the challenging task of rearranging image fragments or video frames from unordered sequences to restore meaningful images and video sequences. Existing approaches often hin... 详细信息
来源: 评论
BIOCLIP: A vision Foundation Model for the Tree of Life
BIOCLIP: A Vision Foundation Model for the Tree of Life
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Stevens, Samuel Wu, Jiaman Thompson, Matthew J. Campolongo, Elizabeth G. Song, Chan Hee Carlyle, David Edward Dong, Li Dahdul, Wasila M. Stewart, Charles Berger-Wolf, Tanya Chao, Wei-Lun Su, Yu Ohio State Univ Columbus OH 43210 USA Microsoft Res Mountain View CA USA Univ Calif Irvine Irvine CA USA Rensselaer Polytech Inst Troy NY USA
Images of the natural world, collected by a variety of cameras, from drones to individual phones, are increasingly abundant sources of biological information. There is an explosion of computational methods and tools, ... 详细信息
来源: 评论
MAFA: Managing False Negatives for vision-Language Pre-training
MAFA: Managing False Negatives for Vision-Language Pre-train...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Byun, Jaeseok Kim, Dohoon Moon, Taesup Seoul Natl Univ Dept ECE Seoul South Korea Seoul Natl Univ Dept ASRI INMC IPAI AIIS Seoul South Korea
We consider a critical issue of false negatives in vision-Language Pre-training (VLP), a challenge that arises from the inherent many-to-many correspondence of image-text pairs in large-scale web-crawled datasets. The...
来源: 评论
VicTR: Video-conditioned Text Representations for Activity recognition
VicTR: Video-conditioned Text Representations for Activity R...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kahatapitiya, Kumara Arnab, Anurag Nagrani, Arsha Ryoo, Michael S. SUNY Stony Brook Stony Brook NY 11794 USA Google Res Mountain View CA USA
vision-Language models (VLMs) have excelled in the image-domain- especially in zero-shot settings- thanks to the availability of vast pretraining data (i.e., paired image-text samples). However for videos, such paired... 详细信息
来源: 评论
StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN
StyleCineGAN: Landscape Cinemagraph Generation using a Pre-t...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Choi, Jongwoo Seo, Kwanggyoon Ashtari, Amirsaman Noh, Junyong Korea Adv Inst Sci & Technol Visual Media Lab Daejeon South Korea
We propose a method that can generate cinemagraphs automatically from a still landscape image using a pre-trained StyleGAN. Inspired by the success of recent unconditional video generation, we leverage a powerful pre-... 详细信息
来源: 评论
Attention-Propagation Network for Egocentric Heatmap to 3D Pose Lifting
Attention-Propagation Network for Egocentric Heatmap to 3D P...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kang, Taeho Lee, Youngki Seoul Natl Univ Seoul South Korea
We present EgoTAP, a heatmap-to-3D pose lifting method for highly accurate stereo egocentric 3D pose estimation. Severe self-occlusion and out-of-view limbs in egocentric camera views make accurate pose estimation a c... 详细信息
来源: 评论
Resource-Efficient Transformer Pruning for Finetuning of Large Models
Resource-Efficient Transformer Pruning for Finetuning of Lar...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ilhan, Fatih Su, Gong Tekin, Selim Furkan Huang, Tiansheng Hu, Sihao Liu, Ling Georgia Inst Technol Atlanta GA 30332 USA IBM Res Yorktown Hts NY USA
With the recent advances in vision transformers and large language models (LLMs), finetuning costly large models on downstream learning tasks poses significant challenges under limited computational resources. This pa... 详细信息
来源: 评论
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
Animate Anyone: Consistent and Controllable Image-to-Video S...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hu, Li Alibaba Grp Inst Intelligent Comp Hangzhou Peoples R China
Character Animation aims to generating character videos from still images through driving signals. Currently, diffusion models have become the mainstream in visual generation research, owing to their robust generative... 详细信息
来源: 评论