Video object segmentation (VOS) aims at segmenting a particular object throughout the
entire video clip sequence. The state-of-the-art VOS methods have achieved excellent …

From the innovation, Artificial Intelligence (AI) materialized as one of the noticeable research
areas in various technologies and has almost expanded into every aspect of modern human …

The significant power of deep learning networks has led to enormous development in object
detection. Over the last few years, object detector frameworks have achieved tremendous …

Regression-based methods for 3D human pose estimation directly predict the 3D pose
parameters from a 2D image using deep networks. While achieving state-of-the-art …

Can our video understanding systems perceive objects when a heavy occlusion exists in a
scene? To answer this question, we collect a large-scale dataset called OVIS for occluded …

Perceiving and manipulating 3D articulated objects in diverse environments is essential for
home-assistant robots. Recent studies have shown that point-level affordance provides …

With the rise in popularity of autonomous driving, the speed and accuracy of surrounding
objects' detection by in-vehicle sensing technology is becoming increasingly important for …

Abstract While Visual Question Answering (VQA) has progressed rapidly, previous works
raise concerns about robustness of current VQA models. In this work, we study the …

Object occlusion presents a significant and complex challenge in computer vision, requiring
effective solutions. While convolutional neural networks (CNNs) have shown success in …

Scene matching involves establishing a mapping relationship between heterogeneous
images, which is crucial for drone visual geo-localization. However, it poses a significant …