A 360-degree (omni-directional) image provides an all-encompassing spher...
This paper presents a French text-to-speech synthesis system for the Bli...
Sketch-based terrain generation seeks to create realistic landscapes for...
Robust audio anti-spoofing has been increasingly challenging due to the
...
Large language models have become a potential pathway toward achieving
a...
Online learning to rank (OLTR) is a sequential decision-making problem w...
Given an untrimmed video, repetitive actions counting aims to estimate t...
Existing point cloud modeling datasets primarily express the modeling
pr...
Deriving sophisticated 3D motions from sparse keyframes is a particularl...
Synthesizing controllable motion for a character using deep learning has...
Conversational contextual bandits elicit user preferences by occasionall...
Person Re-identification (ReID) has been extensively studied in recent y...
A computational graph in a deep neural network (DNN) denotes a specific ...
Multimodal summarisation with multimodal output is drawing increasing
at...
The self-attention mechanism, successfully employed with the transformer...
This paper describes our system for the SemEval2022 task of matching
dic...
Existing motion capture datasets are largely short-range and cannot yet ...
Sign language translation (SLT), which generates text in a spoken langua...
Weeds are a significant threat to the agricultural productivity and the
...
We present a novel privacy preservation strategy for decentralized
visua...
Spatial-temporal graphs have been widely used by skeleton-based action
r...
Optimal transport (OT) is a powerful tool for measuring the distance bet...
Generative adversarial networks (GANs) have demonstrated great success i...
This paper introduces a new generative deep learning network for human m...
Protein contacts contain important information for protein structure and...
Motivation. Protein contact map describes the pairwise spatial and funct...