Search Results - "IEEE/CVF Conference on Computer Vision and Pattern Recognition"

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) : Salt Lake City, Utah, USA 18-22 June 2018 by IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers

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Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio- Visual Event Perception by Gao, Junyu, Chen, Mengyuan, Xu, Changsheng

“…With only video-level event labels, this paper targets at the task of weakly-supervised audio-visual event perception (WS-AVEP), which aims to temporally…”
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Record-Breaking Registrants and Technical Papers for 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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CVPR 2019: Call for Papers Deadline November 16: The 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Subspace-PnP: A Geometric Constraint Loss for Mutual Assistance of Depth and Optical Flow Estimation by Chi, Cheng, Hao, Tianyu, Wang, Qingjie, Guo, Peng, Yang, Xin

“…, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 4654–4665, 2020; Ranjan et al., in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 12240…”
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InLoc: Indoor Visual Localization with Dense Matching and View Synthesis by Taira, Hajime, Okutomi, Masatoshi, Sattler, Torsten, Cimpoi, Mircea, Pollefeys, Marc, Sivic, Josef, Pajdla, Tomas, Torii, Akihiko

“…We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect to a large indoor 3D map. The contributions of this work are…”
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MTPose: Human Pose Estimation with High-Resolution Multi-scale Transformers by Wang, Rui, Geng, Fudi, Wang, Xiangyang

“…HRNet (High-Resolution Networks) as reported by Sun et al. (in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR), 2019…”
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VizWiz Grand Challenge: Answering Visual Questions from Blind People by Gurari, Danna, Li, Qing, Stangl, Abigale J., Guo, Anhong, Lin, Chi, Grauman, Kristen, Luo, Jiebo, Bigham, Jeffrey P.

“…The study of algorithms to automatically answer visual questions currently is motivated by visual question answering (VQA) datasets constructed in artificial…”
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Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping by Fu, Huan, Gong, Mingming, Wang, Chaohui, Batmanghelich, Kayhan, Zhang, Kun, Tao, Dacheng

“…Unsupervised domain mapping aims to learn a function GXY to translate domain X to Y in the absence of paired examples. Finding the optimal GXY without paired…”
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CRAFT: Concept Recursive Activation FacTorization for Explainability by Fel, Thomas, Picard, Agustin, Bethune, Louis, Boissin, Thibaut, Vigouroux, David, Colin, Julien, Cadenc, Remi, Serre, Thomas

“…Attribution methods, which employ heatmaps to identify the most influential regions of an image that impact model decisions, have gained widespread popularity…”
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Deep Ordinal Regression Network for Monocular Depth Estimation by Fu, Huan, Gong, Mingming, Wang, Chaohui, Batmanghelich, Kayhan, Tao, Dacheng

“…Monocular depth estimation, which plays a crucial role in understanding 3D scene geometry, is an ill-posed problem. Recent methods have gained significant…”
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Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? by Boudiaf, Malik, Kervadec, Hoel, Masud, Ziko Imtiaz, Piantanida, Pablo, Ayed, Ismail Ben, Dolz, Jose

“…We show that the way inference is performed in few-shot segmentation tasks has a substantial effect on performances-an aspect often overlooked in the…”
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Staged encoder training for cross-camera person re-identification by Xu, Zhi, Yang, Jiawei, Liu, Yuxuan, Zhao, Longyang, Liu, Jiajia

“…As a cross-camera retrieval problem, person re-identification (ReID) suffers from image style variations caused by camera parameters, lighting and other…”
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Image Segmentation Using Text and Image Prompts by Luddecke, Timo, Ecker, Alexander

“…Image segmentation is usually addressed by training a model for a fixed set of object classes. Incorporating additional classes or more complex queries later…”
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Two-stream lightweight sign language transformer by Chen, Yuming, Mei, Xue, Qin, Xuan

“…Despite the recent progress of continuous sign language translation-based video, a variety of deep learning models are difficult to apply to the real-time…”
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Improving neural implicit surfaces geometry with patch warping by Darmon, Francois, Bascle, Benedicte, Devaux, Jean-Clement, Monasse, Pascal, Aubry, Mathieu

“…Neural implicit surfaces have become an important technique for multi-view 3D reconstruction but their accuracy remains limited. In this paper, we argue that…”
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Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning by Guo, Pengfei, Wang, Puyang, Zhou, Jinyuan, Jiang, Shanshan, Patel, Vishal M.

“…Fast and accurate reconstruction of magnetic resonance (MR) images from under-sampled data is important in many clinical applications. In recent years, deep…”
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Squeeze-and-Excitation Networks by Hu, Jie, Shen, Li, Sun, Gang

“…Convolutional neural networks are built upon the convolution operation, which extracts informative features by fusing spatial and channel-wise information…”
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MobileNetV2: Inverted Residuals and Linear Bottlenecks by Sandler, Mark, Howard, Andrew, Zhu, Menglong, Zhmoginov, Andrey, Chen, Liang-Chieh

“…In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and…”
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DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion by Douillard, Arthur, Rame, Alexandre, Couairon, Guillaume, Cord, Matthieu

“…Deep network architectures struggle to continually learn new tasks without forgetting the previous tasks. A recent trend indicates that dynamic architectures…”
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