Latest AI and machine learning research in identifying and reporting child abuse for healthcare professionals.
Painting textures for existing geometries is a critical yet labor-intensive process in 3D asset ge...
Deep Reinforcement Learning (DRL) has demonstrated strong performance in robotic control but remai...
Large Language Models (LLMs) encapsulate a surprising amount of factual world knowledge. However, ...
With the continuous emergence of various social media platforms frequently used in daily life, the...
Aerial Vision-and-Language Navigation (Aerial VLN) aims to obtain an unmanned aerial vehicle agent...
Natural and lifelike locomotion remains a fundamental challenge for humanoid robots to interact wi...
We introduce a novel visual tokenization framework that embeds a provable PCA-like structure into ...
Current 3D stylization techniques primarily focus on static scenes, while our world is inherently ...
Unreadable code could be a breeding ground for errors. Thus, previous work defined approaches base...
When discussing the Aerial-Ground Person Re-identification (AGPReID) task, we face the main challe...
Multivariate Time Series Classification (MTSC) is crucial in extensive practical applications, suc...
We present V$^2$Dial - a novel expert-based model specifically geared towards simultaneously handl...
Single Image Reflection Removal (SIRR) is a canonical blind source separation problem and refers t...
Soybean leaf disease detection is critical for agricultural productivity but faces challenges due ...
Wearable sensing devices, such as Holter monitors, will play a crucial role in the future of digit...
Two-tower models are widely adopted in the industrial-scale matching stage across a broad range of...
The accurate assessment of the brain's functional network is seen as crucial for the understanding o...
Neural Radiance Fields (NeRF) have been gaining attention as a significant form of 3D content repr...
Recent studies have shown that Large Vision-Language Models (VLMs) tend to neglect image content a...
Medical image segmentation plays a crucial role in various clinical applications. A major challeng...
It is well known that query-based attacks tend to have relatively higher success rates in adversar...