Accurate detection of movable and moving objects in LiDAR is of vital
im...
Video frame interpolation aims to synthesize one or multiple frames betw...
Computer vision tasks can benefit from the estimation of the salient obj...
Generalizing beyond the experiences has a significant role in developing...
Face is one of the predominant means of person recognition. In the proce...
This paper explores an efficient solution for Space-time Super-Resolutio...
Representation learning from 3D point clouds is challenging due to their...
Attention models are widely used in Vision-language (V-L) tasks to perfo...
Recent studies have shown that current VQA models are heavily biased on ...
Conventional approaches to Sketch-Based Image Retrieval (SBIR) assume th...
Deblurring is the task of restoring a blurred image to a sharp one,
retr...
Sketch-based image retrieval (SBIR) is the task of retrieving images fro...
We present a generative framework for zero-shot action recognition where...
Traditional point tracking algorithms such as the KLT use local 2D
infor...
We study the problem of answering questions about images in the harder
s...
We propose a novel approach for First Impressions Recognition in terms o...
Matching deformable objects using their shapes is an important problem i...
Part-based models with restrictive tree-structured interactions for the ...
Feature or interest points typically use information aggregation in 2D
p...