157 citations · 227 across the 9 of their papers we have counts for
9 papers
3D for Free: Crossmodal Transfer Learning using HD Maps
Benjamin Wilson, Zsolt Kira, James Hays
3D object detection is a core perceptual challenge for robotics and autonomous driving. However, the class-taxonomies in modern autonomous driving datasets are significantly smalle…
Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy +8
We present Argoverse -- two datasets designed to support autonomous vehicle machine learning tasks such as 3D tracking and motion forecasting. Argoverse was collected by a fleet of…
Let's Transfer Transformations of Shared Semantic Representations
Nam Vo, Lu Jiang, James Hays
With a good image understanding capability, can we manipulate the images high level semantic representation? Such transformation operation can be used to generate or retrieve simil…
Composing Text and Image for Image Retrieval - An Empirical Odyssey
Nam Vo, Lu Jiang, Chen Sun +4
In this paper, we study the task of image retrieval, where the input query is specified in the form of an image plus some text that describes desired modifications to the input ima…
Complex Event Recognition from Images with Few Training Examples
Unaiza Ahsan, Chen Sun, James Hays +1
We propose to leverage concept-level representations for complex event recognition in photographs given limited training examples. We introduce a novel framework to discover event…
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Patsorn Sangkloy, Jingwan Lu, Chen Fang +2
Recently, there have been several promising methods to generate realistic imagery from deep convolutional networks. These methods sidestep the traditional computer graphics renderi…