7 accepted papers
Stereo video inpainting, which aims to fill the occluded regions of warped videos with visually coherent content while maintaining temporal consistency, remains a challenging open problem. The regions to be filled are scattered along object boundaries and occupy only a small fraction of each frame,
The imitation of voice, targeted on specific speech attributes such as timbre and speaking style, is crucial in speech generation. However, existing methods rely heavily on annotated data, and struggle with effectively disentangling timbre and style, leading to challenges in achieving controllable g…
Traditional sampling-based algorithms rely on random samples to explore a whole configuration space of robots for optimal path planning, while a uniform sampler impedes the exploration with randomly generated samples, leading to a long calculation time, especially in complex environments. Recently,
Pose-guided person image generation aims to synthesize person images in arbitrary poses. This task requires to perform spatial deformation on source images. Existing work often failed to transfer complex textures to generated images well. To solve this problem, we propose a novel network for this ta…
Existing Domain Adaptation (DA) has been able to transfer knowledge from a labeled source domain to an unlabeled target domain nicely. However, in a more complex Open Set Domain Adaptation (OSDA) setting containing unknown target domain categories, previous DA methods fail or even negatively transfe…
Code search, which aims at retrieving the most relevant code fragment for a given natural language query, is a common activity in software development practice. Recently, contrastive learning is widely used in code search research, where many data augmentation approaches for source code (e.g., seman…
Self-supervised monocular depth estimation has achieved impressive performance on outdoor datasets. Its performance however degrades notably in indoor environments because of the lack of textures. Without rich textures, the photometric consistency is too weak to train a good depth network. Inspired…