Search Results for author:
Found 10 papers, 3 papers with code
Social-Mobility-Aware Joint Communication and Computation Resource Management in NOMA-Enabled Vehicular Networks
The existing computation and communication (2C) optimization schemes for vehicular edge computing (VEC) networks mainly focus on the physical domain without considering the influence from the social domain.
EVD Surgical Guidance with Retro-Reflective Tool Tracking and Spatial Reconstruction using Head-Mounted Augmented Reality Device
The head surface is reconstructed using depth data for spatial registration, avoiding fixing tracking targets rigidly on the patient's skull.
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation
In this work, instead of directly predicting the pixel-level segmentation masks, the problem of referring image segmentation is formulated as sequential polygon generation, and the predicted polygons can be later converted into segmentation masks.
Ranked #1 on
Referring Expression Segmentation
on ReferIt
(using extra training data)
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect
In this paper, we provide an in-depth analysis of the underlying parse tree-like structure involved in the effect prediction task and we further establish a Hierarchical Capsule Prediction Network (HapNet) for predicting the effects of marketing campaigns.
Learning Self-Consistency for Deepfake Detection
We propose a new method to detect deepfake images using the cue of the source feature inconsistency within the forged images.
Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition
Recognizing the expressions of partially occluded faces is a challenging computer vision problem.
Facial Expression Recognition
Facial Expression Recognition (FER)
A Deep Cascade Network for Unaligned Face Attribute Classification
First, a weakly-supervised face region localization network is designed to automatically detect regions (or parts) specific to attributes.
ExprGAN: Facial Expression Editing with Controllable Expression Intensity
To address these limitations, we propose an Expression Generative Adversarial Network (ExprGAN) for photo-realistic facial expression editing with controllable expression intensity.
Semi-supervised Conditional GANs
We introduce a new model for building conditional generative models in a semi-supervised setting to conditionally generate data given attributes by adapting the GAN framework.
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition
In this paper, we present FaceNet2ExpNet, a novel idea to train an expression recognition network based on static images.
Ranked #1 on
Facial Expression Recognition (FER)
on CK+
