Implicit Neural Representations with Periodic Activation Functions
On 4 Aug, 2020 By admin 0 Comments
Computer Vision
Implicit Neural Representations with Periodic Activation Functions
On 4 Aug, 2020 By admin 0 Comments
READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents
On 10 May, 2017 By admin 0 Comments
Tobias Grüning, Roger Labahn, Markus Diem, Florian Kleber, Stefan Fiel, TU Wien
May, 2017
Abstract:
Detecting Cancer Metastases on Gigapixel Pathology Images
On 23 Apr, 2017 By admin 0 Comments
Yun Liu, Krishna Gadepalli, Mohammad Norouzi, George E. Dahl, Timo Kohlberger, Aleksey Boyko, Subhashini Venugopalan, Aleksei Timofeev, Philip Q. Nelson, Greg S. Corrado, Jason D. Hipp, Lily Peng, Martin C. Stumpe
March 2017
Abstract:
Adversarial Machine Learning at Scale
On 22 Apr, 2017 By admin 0 Comments
Alexey Kurakin, Ian Goodfellow, Samy Bengio
February 2017
Abstract:
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding
On 3 Apr, 2017 By admin 0 Comments
Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum
May 2016
Abstract:
Lip Reading Sentences in the Wild
On 1 Dec, 2016 By admin 0 Comments
Joon Son Chung, Andrew Senior, Oriol Vinyals, Andrew Zisserman
November 2016
Abstract:
The goal of this work is to recognise phrases and sentences being spoken by a talking face, with or without the audio. Unlike previous works that have focussed on recognising a limited number of words or phrases, we tackle lip reading as an open-world problem - unconstrained natural language sentences, and in the wild videos.
Automated Inference on Criminality using Face Images
On 1 Dec, 2016 By admin 0 Comments
Xiaolin Wu, Xi Zhang
Novenber 2016
Abstract:
Encode, Review, and Decode: Reviewer Module for Caption Generation
On 20 Oct, 2016 By admin 0 Comments
Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen
(Submitted on 25 May 2016 (v1) - revised 7 Jun 2016)
Abstract:
Lost at See: Random Walks for Scale Space Theory in Computer Vision - Florian Sobieczky
On 21 Jan, 2015 By admin 0 Comments