1.5k citations · 1.7k across the 59 of their papers we have counts for
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Am I a Baller? Basketball Performance Assessment from First-Person Videos
Gedas Bertasius, Hyun Soo Park, Stella X. Yu +1
This paper presents a method to assess a basketball player's performance from his/her first-person video. A key challenge lies in the fact that the evaluation metric is highly subj…
Unsupervised Learning of Important Objects from First-Person Videos
Gedas Bertasius, Hyun Soo Park, Stella X. Yu +1
A first-person camera, placed at a person's head, captures, which objects are important to the camera wearer. Most prior methods for this task learn to detect such important object…
Local Perturb-and-MAP for Structured Prediction
Gedas Bertasius, Qiang Liu, Lorenzo Torresani +1
Conditional random fields (CRFs) provide a powerful tool for structured prediction, but cast significant challenges in both the learning and inference steps. Approximation techniqu…
Convolutional Random Walk Networks for Semantic Image Segmentation
Gedas Bertasius, Lorenzo Torresani, Stella X. Yu +1
Most current semantic segmentation methods rely on fully convolutional networks (FCNs). However, their use of large receptive fields and many pooling layers cause low spatial resol…
First Person Action-Object Detection with EgoNet
Gedas Bertasius, Hyun Soo Park, Stella X. Yu +1
Unlike traditional third-person cameras mounted on robots, a first-person camera, captures a person's visual sensorimotor object interactions from up close. In this paper, we study…