Search Results for author:
Found 16 papers, 3 papers with code
Multiple Random Walkers and Their Application to Image Cosegmentation
A graph-based system to simulate the movements and interactions of multiple random walkers (MRW) is proposed in this work.
Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions
Then, we minimize a hybrid of the three energies to separate a primary object from its background.
POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models
By superposing the foreground and background features, we build the object recurrence model, the background model, and the primary object model.
Online Video Object Segmentation via Convolutional Trident Network
A semi-supervised online video object segmentation algorithm, which accepts user annotations about a target object at the first frame, is proposed in this work.
Ranked #69 on
Semi-Supervised Video Object Segmentation
on DAVIS 2016
Contour-Constrained Superpixels for Image and Video Processing
We initialize superpixel labels in each frame by transferring those in the previous frame and refine the labels to make superpixels temporally consistent as well as compatible with object contours.
Temporal Superpixels Based on Proximity-Weighted Patch Matching
A temporal superpixel algorithm based on proximity-weighted patch matching (TS-PPM) is proposed in this work.
Interactive Image Segmentation via Backpropagating Refinement Scheme
An interactive image segmentation algorithm, which accepts user-annotations about a target object and the background, is proposed in this work.
Ranked #9 on
Interactive Segmentation
on SBD
A Topological Nomenclature for 3D Shape Analysis in Connectomics
Next, we develop nomenclature rules for pyramidal neurons and mitochondria from the reduced graph and finally learn the feature embedding for shape manipulation.
Automated Measurements of Key Morphological Features of Human Embryos for IVF
A major challenge in clinical In-Vitro Fertilization (IVF) is selecting the highest quality embryo to transfer to the patient in the hopes of achieving a pregnancy.
MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM Images
On MitoEM, we find existing instance segmentation methods often fail to correctly segment mitochondria with complex shapes or close contacts with other instances.
Ranked #2 on
3D Instance Segmentation
on MitoEM
(AP75-R-Test metric)
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation
To alleviate the problem, we propose to classify input features into intermediate shape codes and recover complete object shapes from them.
Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution
Specifically, we propose a dynamic high-pass filtering (HPF) module that locally applies adaptive filter weights for each spatial location and channel group to preserve high-frequency signals.
Developmental Stage Classification of EmbryosUsing Two-Stream Neural Network with Linear-Chain Conditional Random Field
In this work, we propose a two-stream model for developmental stage classification.
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation
Motivated by this, we propose a video instance segmentation method that alleviates the problem due to missing detections.
Ranked #40 on
Video Instance Segmentation
on YouTube-VIS validation
YouMVOS: An Actor-Centric Multi-Shot Video Object Segmentation Dataset
Many video understanding tasks require analyzing multi-shot videos, but existing datasets for video object segmentation (VOS) only consider single-shot videos.
Two Stream Active Query Suggestion for Active Learning in Connectomics
As a use case, we build an end-to-end active learning framework with our query suggestion method for 3D synapse detection and mitochondria segmentation in connectomics.
