1.5k citations · 3.1k across the 62 of their papers we have counts for
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Deep End2End Voxel2Voxel Prediction
Du Tran, Lubomir Bourdev, Rob Fergus +2
Over the last few years deep learning methods have emerged as one of the most prominent approaches for video analysis. However, so far their most successful applications have been…
Semantic Segmentation with Boundary Neural Fields
Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
The state-of-the-art in semantic segmentation is currently represented by fully convolutional networks (FCNs). However, FCNs use large receptive fields and many pooling layers, bot…
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision
Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
Most of the current boundary detection systems rely exclusively on low-level features, such as color and texture. However, perception studies suggest that humans employ object-leve…
Coupled Depth Learning
Mohammad Haris Baig, Lorenzo Torresani
In this paper we propose a method for estimating depth from a single image using a coarse to fine approach. We argue that modeling the fine depth details is easier after a coarse d…