1.5k citations · 3.1k across the 62 of their papers we have counts for
6 papers · 1 filter
VideoMCC: a New Benchmark for Video Comprehension
Du Tran, Maksim Bolonkin, Manohar Paluri +1
While there is overall agreement that future technology for organizing, browsing and searching videos hinges on the development of methods for high-level semantic understanding of…
Multiple Hypothesis Colorization
Mohammad Haris Baig, Lorenzo Torresani
In this work we focus on the problem of colorization for image compression. Since color information occupies a large proportion of the total storage size of an image, a method that…
Local Perturb-and-MAP for Structured Prediction
Gedas Bertasius, Qiang Liu, Lorenzo Torresani +1
Conditional random fields (CRFs) provide a powerful tool for structured prediction, but cast significant challenges in both the learning and inference steps. Approximation techniqu…
Convolutional Random Walk Networks for Semantic Image Segmentation
Gedas Bertasius, Lorenzo Torresani, Stella X. Yu +1
Most current semantic segmentation methods rely on fully convolutional networks (FCNs). However, their use of large receptive fields and many pooling layers cause low spatial resol…
Network of Experts for Large-Scale Image Categorization
Karim Ahmed, Mohammad Haris Baig, Lorenzo Torresani
We present a tree-structured network architecture for large scale image classification. The trunk of the network contains convolutional layers optimized over all classes. At a give…
Recurrent Mixture Density Network for Spatiotemporal Visual Attention
Loris Bazzani, Hugo Larochelle, Lorenzo Torresani
In many computer vision tasks, the relevant information to solve the problem at hand is mixed to irrelevant, distracting information. This has motivated researchers to design atten…