activity
20152021
most citedLearning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation

12 citations · 19 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2021

Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles

Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio +5

Extracting interesting scenarios from real-world data as well as generating failure cases is important for the development and testing of autonomous systems. We propose efficient m…

cs.CV2020

Bi3D: Stereo Depth Estimation via Binary Classifications

Abhishek Badki, Alejandro Troccoli, Kihwan Kim +3

Stereo-based depth estimation is a cornerstone of computer vision, with state-of-the-art methods delivering accurate results in real time. For several applications such as autonomo…

cs.CV2018★ 5 cited

Extreme View Synthesis

Inchang Choi, Orazio Gallo, Alejandro Troccoli +2

We present Extreme View Synthesis, a solution for novel view extrapolation that works even when the number of input images is small--as few as two. In this context, occlusions and…

cs.CV2018★ 12 cited

Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation

Zhaoyang Lv, Kihwan Kim, Alejandro Troccoli +3

Estimation of 3D motion in a dynamic scene from a temporal pair of images is a core task in many scene understanding problems. In real world applications, a dynamic scene is common…

cs.CV2015★ 2 cited

Locally Non-rigid Registration for Mobile HDR Photography

Orazio Gallo, Alejandro Troccoli, Jun Hu +2

Image registration for stack-based HDR photography is challenging. If not properly accounted for, camera motion and scene changes result in artifacts in the composite image. Unfort…