activity
20152021
most citedSim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control

29 citations · 45 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CV2021

Binary TTC: A Temporal Geofence for Autonomous Navigation

Abhishek Badki, Orazio Gallo, Jan Kautz +1

Time-to-contact (TTC), the time for an object to collide with the observer's plane, is a powerful tool for path planning: it is potentially more informative than the depth, velocit…

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.RO20206 cited

How to Close Sim-Real Gap? Transfer with Segmentation!

Mengyuan Yan, Qingyun Sun, Iuri Frosio +2

One fundamental difficulty in robotic learning is the sim-real gap problem. In this work, we propose to use segmentation as the interface between perception and control, as a domai…

cs.CV2020

Meshlet Priors for 3D Mesh Reconstruction

Abhishek Badki, Orazio Gallo, Jan Kautz +1

Estimating a mesh from an unordered set of sparse, noisy 3D points is a challenging problem that requires carefully selected priors. Existing hand-crafted priors, such as smoothnes…

cs.CV2018

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

Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset

Qi Guo, Iuri Frosio, Orazio Gallo +2

Scene motion, multiple reflections, and sensor noise introduce artifacts in the depth reconstruction performed by time-of-flight cameras. We propose a two-stage, deep-learning appr…