Intrinsic decomposition is to infer the albedo and shading from the imag...
Intrinsic image decomposition (IID) is an under-constrained problem.
The...
Intrinsic image decomposition is the process of recovering the image
for...
Multimodal large-scale datasets for outdoor scenes are mostly designed f...
For deepfake detection, video-level detectors have not been explored as
...
Many interesting tasks in machine learning and computer vision are learn...
We investigate the use of photometric invariance and deep learning to co...
While kinship verification is a well-exploited task which only identifie...
In general, intrinsic image decomposition algorithms interpret shading a...
In this paper we address the benefit of adding adversarial training to t...
Lies and deception are common phenomena in society, both in our private ...
In this paper, we provide a synthetic data generator methodology with fu...
In this paper, we formulate the color constancy task as an image-to-imag...
Dense optical flow ground truth of non-rigid motion for real-world image...
In this paper, we propose a framework for generating 3D point cloud of a...
Semantic segmentation of outdoor scenes is problematic when there are
va...
This paper presents a novel multi scale gradient and a corner point base...
Object detection is an important research area in the field of computer
...