We propose a scene-level inverse rendering framework that uses multi-vie...
In this paper, we propose a new challenge that synthesizes a novel view ...
Unsupervised approaches for video anomaly detection may not perform as g...
This paper presents Probabilistic Video Contrastive Learning, a
self-sup...
We propose a novel framework for fine-grained object recognition that le...
In this paper, we introduce a new large-scale face database from KIST,
d...
Face recognition research now requires a large number of labelled masked...
Existing techniques to adapt semantic segmentation networks across the s...
To train deep learning models for vision-based action recognition of eld...
The goal of video summarization is to select keyframes that are visually...
Existing techniques to encode spatial invariance within deep convolution...
Heterogeneous Face Recognition (HFR) is a task that matches faces across...
This paper presents a summary of the 2019 Unconstrained Ear Recognition
...
This paper presents a summary of the 2019 Unconstrained Ear Recognition
...
Typical person re-identification frameworks search for k best matches in...