6 citations · 11 across the 4 of their papers we have counts for
5 papers
Learning Adaptive Parameter Tuning for Image Processing
Jingming Dong, Iuri Frosio, Jan Kautz
The non-stationary nature of image characteristics calls for adaptive processing, based on the local image content. We propose a simple and flexible method to learn local tuning of…
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability
Nikolaos Karianakis, Jingming Dong, Stefano Soatto
We conduct an empirical study to test the ability of Convolutional Neural Networks (CNNs) to reduce the effects of nuisance transformations of the input data, such as location, sca…
Domain-Size Pooling in Local Descriptors: DSP-SIFT
Jingming Dong, Stefano Soatto
We introduce a simple modification of local image descriptors, such as SIFT, based on pooling gradient orientations across different domain sizes, in addition to spatial locations.…
Visual Scene Representations: Contrast, Scaling and Occlusion
Stefano Soatto, Jingming Dong, Nikolaos Karianakis
We study the structure of representations, defined as approximations of minimal sufficient statistics that are maximal invariants to nuisance factors, for visual data subject to sc…
On the Design and Analysis of Multiple View Descriptors
Jingming Dong, Jonathan Balzer, Damek Davis +2
We propose an extension of popular descriptors based on gradient orientation histograms (HOG, computed in a single image) to multiple views. It hinges on interpreting HOG as a cond…