Search Results for author:
Found 10 papers, 6 papers with code
Luminance-aware Color Transform for Multiple Exposure Correction
Images captured with irregular exposures inevitably present unsatisfactory visual effects, such as distorted hue and color tone.
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling
A novel monocular 3D pose and shape reconstruction algorithm, based on bi-contextual attention and attention-guided modeling (BAAM), is proposed in this work.
Ranked #1 on
Autonomous Vehicles
on ApolloCar3D
Local Connectivity-Based Density Estimation for Face Clustering
For this purpose, we propose a reliable density estimation algorithm based on local connectivity between K nearest neighbors (KNN).
Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps
We propose a novel guided interactive segmentation (GIS) algorithm for video objects to improve the segmentation accuracy and reduce the interaction time.
Ranked #2 on
Interactive Video Object Segmentation
on DAVIS 2017
(using extra training data)
Interactive Segmentation
Interactive Video Object Segmentation
+3
Representative Color Transform for Image Enhancement
Recently, the encoder-decoder and intensity transformation approaches lead to impressive progress in image enhancement.
Interactive Video Object Segmentation Using Global and Local Transfer Modules
The global transfer module conveys the segmentation information in an annotated frame to a target frame, while the local transfer module propagates the segmentation information in a temporally adjacent frame to the target frame.
Ranked #3 on
Interactive Video Object Segmentation
on DAVIS 2017
(using extra training data)
Sequential Clique Optimization for Video Object Segmentation
A novel algorithm to segment out objects in a video sequence is proposed in this work.
CDTS: Collaborative Detection, Tracking, and Segmentation for Online Multiple Object Segmentation in Videos
A novel online algorithm to segment multiple objects in a video sequence is proposed in this work.
Primary Object Segmentation in Videos Based on Region Augmentation and Reduction
A novel algorithm to segment a primary object in a video sequence is proposed in this work.
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.
