Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Feris, Rogerio S."'
Autor:
Mishra, Samarth, Panda, Rameswar, Phoo, Cheng Perng, Chen, Chun-Fu, Karlinsky, Leonid, Saenko, Kate, Saligrama, Venkatesh, Feris, Rogerio S.
Pre-training models on Imagenet or other massive datasets of real images has led to major advances in computer vision, albeit accompanied with shortcomings related to curation cost, privacy, usage rights, and ethical issues. In this paper, for the fi
Externí odkaz:
http://arxiv.org/abs/2112.00054
Face recognition is a long standing challenge in the field of Artificial Intelligence (AI). The goal is to create systems that accurately detect, recognize, verify, and understand human faces. There are significant technical hurdles in making these s
Externí odkaz:
http://arxiv.org/abs/1901.10436
Autor:
Mac, Khoi-Nguyen C., Joshi, Dhiraj, Yeh, Raymond A., Xiong, Jinjun, Feris, Rogerio S., Do, Minh N.
Fine-grained action detection is an important task with numerous applications in robotics and human-computer interaction. Existing methods typically utilize a two-stage approach including extraction of local spatio-temporal features followed by tempo
Externí odkaz:
http://arxiv.org/abs/1811.08815
We propose a novel method for real-time face alignment in videos based on a recurrent encoder-decoder network model. Our proposed model predicts 2D facial point heat maps regularized by both detection and regression loss, while uniquely exploiting re
Externí odkaz:
http://arxiv.org/abs/1801.06066
Autor:
Merler, Michele, Joshi, Dhiraj, Nguyen, Quoc-Bao, Hammer, Stephen, Kent, John, Smith, John R., Feris, Rogerio S.
The production of sports highlight packages summarizing a game's most exciting moments is an essential task for broadcast media. Yet, it requires labor-intensive video editing. We propose a novel approach for auto-curating sports highlights, and use
Externí odkaz:
http://arxiv.org/abs/1707.07075
We propose a novel recurrent encoder-decoder network model for real-time video-based face alignment. Our proposed model predicts 2D facial point maps regularized by a regression loss, while uniquely exploiting recurrent learning at both spatial and t
Externí odkaz:
http://arxiv.org/abs/1608.05477
A unified deep neural network, denoted the multi-scale CNN (MS-CNN), is proposed for fast multi-scale object detection. The MS-CNN consists of a proposal sub-network and a detection sub-network. In the proposal sub-network, detection is performed at
Externí odkaz:
http://arxiv.org/abs/1607.07155
We address the problem of cross-domain image retrieval, considering the following practical application: given a user photo depicting a clothing image, our goal is to retrieve the same or attribute-similar clothing items from online shopping stores.
Externí odkaz:
http://arxiv.org/abs/1505.07922
We explore the redundancy of parameters in deep neural networks by replacing the conventional linear projection in fully-connected layers with the circulant projection. The circulant structure substantially reduces memory footprint and enables the us
Externí odkaz:
http://arxiv.org/abs/1502.03436
We present a novel local-based face verification system whose components are analogous to those of biological systems. In the proposed system, after global registration and normalization, three eye regions are converted from the spatial to polar freq
Externí odkaz:
http://arxiv.org/abs/cs/0509083