activity
20182023
most citedRetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free

119 citations · 192 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 1 cited

Joint Depth Prediction and Semantic Segmentation with Multi-View SAM

Mykhailo Shvets, Dongxu Zhao, Marc Niethammer +2

Multi-task approaches to joint depth and segmentation prediction are well-studied for monocular images. Yet, predictions from a single-view are inherently limited, while multiple v…

cs.CV2019

Tangent Images for Mitigating Spherical Distortion

Marc Eder, Mykhailo Shvets, John Lim +1

In this work, we propose "tangent images," a spherical image representation that facilitates transferable and scalable computer vision. Inspired by techniques in cartog…

cs.LG2019★ 56 cited

MolecularRNN: Generating realistic molecular graphs with optimized properties

Mariya Popova, Mykhailo Shvets, Junier Oliva +1

Designing new molecules with a set of predefined properties is a core problem in modern drug discovery and development. There is a growing need for de-novo design methods that woul…

cs.CV2019★ 119 cited

RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free

Cheng-Yang Fu, Mykhailo Shvets, Alexander C. Berg

Recently two-stage detectors have surged ahead of single-shot detectors in the accuracy-vs-speed trade-off. Nevertheless single-shot detectors are immensely popular in embedded vis…

cs.CV2018★ 16 cited

Target Driven Instance Detection

Phil Ammirato, Cheng-Yang Fu, Mykhailo Shvets +2

While state-of-the-art general object detectors are getting better and better, there are not many systems specifically designed to take advantage of the instance detection problem.…