Search Results for author:
Found 13 papers, 5 papers with code
VIGFace: Virtual Identity Generation Model for Face Image Synthesis
Initially, we train the face recognition model using a real face dataset and create a feature space for both real and virtual IDs where virtual prototypes are orthogonal to other prototypes.
Enhancing Multi-View Pedestrian Detection Through Generalized 3D Feature Pulling
The main challenge in multi-view pedestrian detection is integrating view-specific features into a unified space for comprehensive end-to-end perception.
Ranked #1 on
Multiview Detection
on Wildtrack
MAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting Estimation
We propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, a SVBRDF, and 3D spatially-varying lighting.
Few-shot Neural Radiance Fields Under Unconstrained Illumination
In this paper, we introduce a new challenge for synthesizing novel view images in practical environments with limited input multi-view images and varying lighting conditions.
K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments
In this paper, we introduce a new large-scale face database from KIST, denoted as K-FACE, and describe a novel capturing device specifically designed to obtain the data.
A 3D model-based approach for fitting masks to faces in the wild
Our method proceeds by first fitting a 3D morphable model on the input image, second overlaying the mask surface onto the face model and warping the respective mask texture, and last projecting the 3D mask back to 2D.
ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications
We then generate KIST SynADL, a large-scale synthetic dataset of elders' activities of daily living, from ElderSim and use the data in addition to real datasets to train three state-of the-art human action recognition models.
Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation
To overcome this limitation, we introduce a learnable module, cylindrical convolutional networks (CCNs), that exploit cylindrical representation of a convolutional kernel defined in the 3D space.
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing
To the best of our knowledge, this is the first work to suggest an encoder-decoder model for knowledge tracing that applies deep self-attentive layers to exercises and responses separately.
Ranked #2 on
Knowledge Tracing
on EdNet
Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment
First, we define the concept of the study session, study session dropout and study session dropout prediction task in a mobile learning environment.
Assessment Modeling: Fundamental Pre-training Tasks for Interactive Educational Systems
However, such methods fail to utilize the full range of student interaction data available and do not model student learning behavior.
EdNet: A Large-Scale Hierarchical Dataset in Education
With advances in Artificial Intelligence in Education (AIEd) and the ever-growing scale of Interactive Educational Systems (IESs), data-driven approach has become a common recipe for various tasks such as knowledge tracing and learning path recommendation.
Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess
Our model outperforms existing approaches over several metrics in predicting user response correctness, notably out-performing other methods on new users without large question-response histories.
