Search Results for author:
Found 13 papers, 8 papers with code
GAIA: Rethinking Action Quality Assessment for AI-Generated Videos
Assessing action quality is both imperative and challenging due to its significant impact on the quality of AI-generated videos, further complicated by the inherently ambiguous nature of actions within AI-generated video (AIGV).
Understanding and Evaluating Human Preferences for AI Generated Images with Instruction Tuning
Artificial Intelligence Generated Content (AIGC) has grown rapidly in recent years, among which AI-based image generation has gained widespread attention due to its efficient and imaginative image creation ability.
Reproducing the Acoustic Velocity Vectors in a Circular Listening Area
Simulations show that at low frequencies, where the acoustic velocity vectors are the dominant factor for localization, the proposed reproduction method based on matching the CHV-indR coefficients results in higher accuracy in reproduced acoustic velocity vectors when compared with traditional method based on matching the cylindrical harmonic coefficients of the pressure.
Actor-Critic Physics-informed Neural Lyapunov Control
Crucial to our approach is the use of Zubov's Partial Differential Equation (PDE), which precisely characterizes the true region of attraction of a given control policy.
Large Language Models as Hyper-Heuristics for Combinatorial Optimization
The omnipresence of NP-hard combinatorial optimization problems (COPs) compels domain experts to engage in trial-and-error heuristic design.
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
The recent end-to-end neural solvers have shown promise for small-scale routing problems but suffered from limited real-time scaling-up performance.
PneumoLLM: Harnessing the Power of Large Language Model for Pneumoconiosis Diagnosis
Yet, this approach often requires optimization of extensive learnable parameters in the text branch and the dialogue head, potentially diminishing the LLMs' efficacy, especially with limited training data.
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
As a Neural Combinatorial Optimization method, DeepACO performs better than or on par with problem-specific methods on canonical routing problems.
Reproducing the Acoustic Velocity Vectors in a Spherical Listening Region
Simulations show the proposed velocity matching algorithm accurately reproduces the AVVs in the spherical listening region and requires fewer number of loudspeakers than pressure matching algorithm.
AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and Correspondence
In this paper, in order to get a better understanding of the human visual preferences for AIGIs, a large-scale IQA database for AIGC is established, which is named as AIGCIQA2023.
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
To fill this gap, we introduce RL4CO, a unified and extensive benchmark with in-depth library coverage of 23 state-of-the-art methods and more than 20 CO problems.
Time-Domain Wideband Image Source Method for Spherical Microphone Arrays
This paper presents the time-domain wideband spherical microphone array impulse response generator (TDW-SMIR generator), which is a time-domain wideband image source method (ISM) for generating the room impulse responses captured by an open spherical microphone array.
Automatic Detection of Speech Sound Disorder in Child Speech Using Posterior-based Speaker Representations
This paper presents a macroscopic approach to automatic detection of speech sound disorder (SSD) in child speech.
