Computer Vision
Inferring and Executing Programs for Visual Reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick
May, 2017
Abstract:
Rethinking the Inception Architecture for Computer Vision
October, 2020
Abstract
Shortcut Learning in Deep Neural Networks
May, 2020
Abstract
READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents
Tobias Grüning, Roger Labahn, Markus Diem, Florian Kleber, Stefan Fiel, TU Wien
May, 2017
Abstract:
Detecting Cancer Metastases on Gigapixel Pathology Images
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
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
Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum
May 2016
Abstract:
Lip Reading Sentences in the Wild
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
Xiaolin Wu, Xi Zhang
Novenber 2016
Abstract: