159 citations · 195 across the 8 of their papers we have counts for
8 papers
Point-VOS: Pointing Up Video Object Segmentation
Idil Esen Zulfikar, Sabarinath Mahadevan, Paul Voigtlaender +1
Current state-of-the-art Video Object Segmentation (VOS) methods rely on dense per-object mask annotations both during training and testing. This requires time-consuming and costly…
AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
Yuanwen Yue, Sabarinath Mahadevan, Jonas Schult +4
During interactive segmentation, a model and a user work together to delineate objects of interest in a 3D point cloud. In an iterative process, the model assigns each data point t…
DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer
Amit Kumar Rana, Sabarinath Mahadevan, Alexander Hermans +1
Most state-of-the-art instance segmentation methods rely on large amounts of pixel-precise ground-truth annotations for training, which are expensive to create. Interactive segment…
4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation
Lars Kreuzberg, Idil Esen Zulfikar, Sabarinath Mahadevan +2
In this work, we present a new paradigm, called 4D-StOP, to tackle the task of 4D Panoptic LiDAR Segmentation. 4D-StOP first generates spatio-temporal proposals using voting-based…
D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
Christian Schmidt, Ali Athar, Sabarinath Mahadevan +1
Despite receiving significant attention from the research community, the task of segmenting and tracking objects in monocular videos still has much room for improvement. Existing w…
Making a Case for 3D Convolutions for Object Segmentation in Videos
Sabarinath Mahadevan, Ali Athar, Aljoša Ošep +3
The task of object segmentation in videos is usually accomplished by processing appearance and motion information separately using standard 2D convolutional networks, followed by a…
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos
Ali Athar, Sabarinath Mahadevan, Aljoša Ošep +2
Existing methods for instance segmentation in videos typically involve multi-stage pipelines that follow the tracking-by-detection paradigm and model a video clip as a sequence of…
Iteratively Trained Interactive Segmentation
Sabarinath Mahadevan, Paul Voigtlaender, Bastian Leibe
Deep learning requires large amounts of training data to be effective. For the task of object segmentation, manually labeling data is very expensive, and hence interactive methods…