Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Pahuja, Anuj"'
Publikováno v:
The IEEE Winter Conference on Applications of Computer Vision (WACV), 2020, pp. 81-90
What's the most accurate 3D model of your face you can obtain while sitting at your desk? We attempt to answer this question in our work. High fidelity face reconstructions have so far been limited to either studio settings or through expensive 3D sc
Externí odkaz:
http://arxiv.org/abs/2003.08583
Segmenting salient objects in an image is an important vision task with ubiquitous applications. The problem becomes more challenging in the presence of a cluttered and textured background, low resolution and/or low contrast images. Even though exist
Externí odkaz:
http://arxiv.org/abs/1905.11522
Supervised deep learning methods have shown promising results for the task of monocular depth estimation; but acquiring ground truth is costly, and prone to noise as well as inaccuracies. While synthetic datasets have been used to circumvent above pr
Externí odkaz:
http://arxiv.org/abs/1803.01599
Autor:
Veit, Andreas, Wilber, Michael, Vaish, Rajan, Belongie, Serge, Davis, James, Anand, Vishal, Aviral, Anshu, Chakrabarty, Prithvijit, Chandak, Yash, Chaturvedi, Sidharth, Devaraj, Chinmaya, Dhall, Ankit, Dwivedi, Utkarsh, Gupte, Sanket, Sridhar, Sharath N., Paga, Karthik, Pahuja, Anuj, Raisinghani, Aditya, Sharma, Ayush, Sharma, Shweta, Sinha, Darpana, Thakkar, Nisarg, Vignesh, K. Bala, Verma, Utkarsh, Abhishek, Kanniganti, Agrawal, Amod, Aishwarya, Arya, Bhattacharjee, Aurgho, Dhanasekar, Sarveshwaran, Gullapalli, Venkata Karthik, Gupta, Shuchita, G, Chandana, Jain, Kinjal, Kapur, Simran, Kasula, Meghana, Kumar, Shashi, Kundaliya, Parth, Mathur, Utkarsh, Mishra, Alankrit, Mudgal, Aayush, Nadimpalli, Aditya, Nihit, Munakala Sree, Periwal, Akanksha, Sagar, Ayush, Shah, Ayush, Sharma, Vikas, Sharma, Yashovardhan, Siddiqui, Faizal, Singh, Virender, S., Abhinav, Yadav, Anurag. D.
When crowdsourcing systems are used in combination with machine inference systems in the real world, they benefit the most when the machine system is deeply integrated with the crowd workers. However, if researchers wish to integrate the crowd with "
Externí odkaz:
http://arxiv.org/abs/1509.07543
Akademický článek
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