Asia
Supplementary Materials for Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
But, our current design has a limitation: the transition direction and distance are fixed, resulting in equally spaced distances between viewports.
Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment Tianhe Wu
Extensive experimental results demonstrate that Assessor360 outperforms state-of-the-art methods on multiple OIQA datasets.
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions
For this reason, the ML community started focusing on non-monotone problems with extra structural properties.
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
Intervention Target Estimation (ITE) is vital for both understanding and decision-making in complex systems, yet it remains underexplored.
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
The high-capacity generative models trained on large, diverse datasets have demonstrated remarkable success across vision and language tasks.
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation
Temporal action segmentation and long-term action anticipation are two popular vision tasks for the temporal analysis of actions in videos.
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics
Deep learning methods have gained popularity in high energy physics for fast modeling of particle showers in detectors.
