papers
Publications (8)
cs.CV2019
Massively Parallel Benders Decomposition for Correlation Clustering
Margret Keuper, Jovita Lukasik, Maneesh Singh +1
The paper reformulates correlation clustering for image segmentation as an integer linear program and solves it using a massively parallel Benders decomposition, where each subprob…
#correlation clustering#image segmentation#graph partitioning#benders decomposition
cs.IT2018
On Lipschitz Bounds of General Convolutional Neural Networks
Dongmian Zou, Radu Balan, Maneesh Singh
cs.LG2017
Lipschitz Properties for Deep Convolutional Networks
Radu Balan, Maneesh Singh, Dongmian Zou
cs.CV2017
Unsupervised Representation Learning by Sorting Sequences
Hsin-Ying Lee, Jia-Bin Huang, Maneesh Singh +1
cs.LG2019
Disconnected Manifold Learning for Generative Adversarial Networks
Mahyar Khayatkhoei, Ahmed Elgammal, Maneesh Singh
cs.CV2018
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders
Ananya Harsh Jha, Saket Anand, Maneesh Singh +1
eess.AS2018
Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition
Aditay Tripathi, Aanchan Mohan, Saket Anand +1
cs.CV2019
SpliceRadar: A Learned Method For Blind Image Forensics
Aurobrata Ghosh, Zheng Zhong, Terrance E Boult +1