150 citations · 179 across the 3 of their papers we have counts for
5 papers
Label Refinery: Improving ImageNet Classification through Label Progression
Hessam Bagherinezhad, Maxwell Horton, Mohammad Rastegari +1
Among the three main components (data, labels, and models) of any supervised learning system, data and models have been the main subjects of active research. However, studying labe…
Who Let The Dogs Out? Modeling Dog Behavior From Visual Data
Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon +2
We introduce the task of directly modeling a visually intelligent agent. Computer vision typically focuses on solving various subtasks related to visual intelligence. We depart fro…
LCNN: Lookup-based Convolutional Neural Network
Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi
Porting state of the art deep learning algorithms to resource constrained compute platforms (e.g. VR, AR, wearables) is extremely challenging. We propose a fast, compact, and accur…
Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects
Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi +1
Human vision greatly benefits from the information about sizes of objects. The role of size in several visual reasoning tasks has been thoroughly explored in human perception and c…
Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images
Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari +1
In this paper, we study the challenging problem of predicting the dynamics of objects in static images. Given a query object in an image, our goal is to provide a physical understa…