Search Results - 2014 IEEE Conference on Computer Vision and Pattern Recognition*

2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014) : Columbus, Ohio, USA, 23-28 June 2014 by IEEE Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers

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Title page iii by Anon

“…Presents the title page of the proceedings record…”
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Title page i by Anon

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Image processing based data reduction technique in WVSN for smart agriculture by Koteich, Jana, Salim, Christian, Mitton, Nathalie

“…Nowadays, to improve animal well being in livestock farming application, a wireless video sensor network (WVSN) can be deployed to early detect injury and…”
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Classification of Histology Sections via Multispectral Convolutional Sparse Coding by Yin Zhou, Hang Chang, Barner, Kenneth, Spellman, Paul, Parvin, Bahram

“…Image-based classification of histology sections plays an important role in predicting clinical outcomes. However this task is very challenging due to the…”
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Inception recurrent convolutional neural network for object recognition by Alom, Md Zahangir, Hasan, Mahmudul, Yakopcic, Chris, Taha, Tarek M., Asari, Vijayan K.

“… (in: Proceedings of the IEEE conference on computer vision and pattern recognition, 2015) and Pinheiro and Collobert (in: ICML, 2014…”
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A Riemannian Framework for Matching Point Clouds Represented by the Schrödinger Distance Transform by Yan Deng, Rangarajan, Anand, Eisenschenk, Stephan, Vemuri, Baba C.

“…In this paper, we cast the problem of point cloud matching as a shape matching problem by transforming each of the given point clouds into a shape…”
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A novel generative adversarial net for calligraphic tablet images denoising by Zhang, Jiulong, Guo, Mingtao, Fan, Jianping

“… The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 ) that was formerly used for super resolution reconstruction…”
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In search of inliers: 3d correspondence by local and global voting by Buch, Anders Glent, Yang, Yang, Krüger, Norbert, Henrik Gordon Petersen

“…We present a method for finding correspondence between 3D models. From an initial set of feature correspondences, our method uses a fast voting scheme to…”
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A Novel HDR Depth Camera for Real-Time 3D 360 degree Panoramic Vision by Belbachir, Ahmed Nabil, Schraml, Stephan, Mayerhofer, Manfred, Hofstatter, Michael

“…This paper presents a novel 360 degree High-Dynamic Range (HDR) camera for real-time 3D 360 degree panoramic computer vision…”
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Recurrent Knowledge Distillation by Pintea, Silvia L., Liu, Yue, van Gemert, Jan C.

“…Knowledge distillation compacts deep networks by letting a small student network learn from a large teacher network. The accuracy of knowledge distillation…”
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Auto-correct-integrated trackers with and without memory of first frames by Sekhavati, Ali, Eghbal, Najmeh

“… In: 2009 IEEE conference on computer vision and pattern recognition. IEEE, 2009), CSR-DCF (Lukezic et al. in Discriminative correlation filter with channel and spatial reliability…”
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CDnet 2014: An Expanded Change Detection Benchmark Dataset by Yi Wang, Jodoin, Pierre-Marc, Porikli, Fatih, Konrad, Janusz, Benezeth, Yannick, Ishwar, Prakash

“… We describe these categories in detail and provide an overview of the results of more than a dozen methods submitted to the IEEE Change DetectionWorkshop 2014…”
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Pupil detection for head-mounted eye tracking in the wild: an evaluation of the state of the art by Fuhl, Wolfgang, Tonsen, Marc, Bulling, Andreas, Kasneci, Enkelejda

“… & applications, ACM. New York, NY, USA, pp 123–130, 2016 ), ExCuSe (Fuhl et al. in Computer analysis of images and patterns…”
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Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation by Lee, Seungho, Lee, Minhyun, Lee, Jongwuk, Shim, Hyunjung

“…Existing studies in weakly-supervised semantic segmentation (WSSS) using image-level weak supervision have several limitations…”
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CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation by Lin, Yuqi, Chen, Minghao, Wang, Wenxiao, Wu, Boxi, Li, Ke, Lin, Binbin, Liu, Haifeng, He, Xiaofei

“…Weakly supervised semantic segmentation (WSSS) with image-level labels is a challenging task. Mainstream approaches follow a multi-stage framework and suffer…”
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Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers by Ru, Lixiang, Zhan, Yibing, Yu, Baosheng, Du, Bo

“…Weakly-supervised semantic segmentation (WSSS) with image-level labels is an important and challenging task. Due to the high training efficiency, end-to-end…”
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Going deeper with convolutions by Szegedy, Christian, Wei Liu, Yangqing Jia, Sermanet, Pierre, Reed, Scott, Anguelov, Dragomir, Erhan, Dumitru, Vanhoucke, Vincent, Rabinovich, Andrew

“…We propose a deep convolutional neural network architecture codenamed Inception that achieves the new state of the art for classification and detection in the ImageNet Large-Scale Visual Recognition Challenge 2014 (ILSVRC14…”
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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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Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation by Zhou, Tianfei, Zhang, Meijie, Zhao, Fang, Li, Jianwu

“… In particular, we propose regional semantic contrast and aggregation (RCA). RCA is equipped with a regional memory bank to store massive, diverse object patterns appearing…”
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