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20152026
most citedArgoverse: 3D Tracking and Forecasting with Rich Maps

157 citations · 369 across the 28 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CV2019★ 157 cited

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…

cs.CV2019

Towards Markerless Grasp Capture

Samarth Brahmbhatt, Charles C. Kemp, James Hays

Humans excel at grasping objects and manipulating them. Capturing human grasps is important for understanding grasping behavior and reconstructing it realistically in Virtual Reali…

cs.LG2019★ 1 cited

Kernel Mean Matching for Content Addressability of GANs

Wittawat Jitkrittum, Patsorn Sangkloy, Muhammad Waleed Gondal +3

We propose a novel procedure which adds "content-addressability" to any given unconditional implicit model e.g., a generative adversarial network (GAN). The procedure allows users…

cs.CV2019

ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging

Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp +1

Grasping and manipulating objects is an important human skill. Since hand-object contact is fundamental to grasping, capturing it can lead to important insights. However, observing…

cs.RO2019

ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact

Samarth Brahmbhatt, Ankur Handa, James Hays +1

Grasping and manipulating objects is an important human skill. Since most objects are designed to be manipulated by human hands, anthropomorphic hands can enable richer human-robot…

cs.CV2019

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…