56 citations · 70 across the 10 of their papers we have counts for
10 papers
Continue or Replan? Bernoulli-Continuation Policy Learning for Adaptive Horizon Execution
Weichen Xu, Zhenhua Liu, Lin Luo +8
Existing chunk-based Vision-Language-Action (VLA) models execute a fixed number of actions (i.e., execution horizon) before replanning, turning replanning into a task-agnostic peri…
Two Heads are Better than One: Distilling Large Language Model Features Into Small Models with Feature Decomposition and Mixture
Tianhao Fu, Xinxin Xu, Weichen Xu +6
Market making (MM) through Reinforcement Learning (RL) has attracted significant attention in financial trading. With the development of Large Language Models (LLMs), more and more…
MAIN: Mutual Alignment Is Necessary for instruction tuning
Fanyi Yang, Jianfeng Liu, Xin Zhang +7
Instruction tuning has empowered large language models (LLMs) to achieve remarkable performance, yet its success heavily depends on the availability of large-scale, high-quality in…
Gaussian Primitives for Deformable Image Registration
Jihe Li, Xiang Liu, Fabian Zhang +4
Deformable Image Registration (DIR) is essential for aligning medical images that exhibit anatomical variations, facilitating applications such as disease tracking and radiotherapy…
PKU-AIGIQA-4K: A Perceptual Quality Assessment Database for Both Text-to-Image and Image-to-Image AI-Generated Images
Jiquan Yuan, Fanyi Yang, Jihe Li +4
In recent years, image generation technology has rapidly advanced, resulting in the creation of a vast array of AI-generated images (AIGIs). However, the quality of these AIGIs is…
Dynamic Texture Transfer using PatchMatch and Transformers
Guo Pu, Shiyao Xu, Xixin Cao +1
How to automatically transfer the dynamic texture of a given video to the target still image is a challenging and ongoing problem. In this paper, we propose to handle this task via…
TIER: Text-Image Encoder-based Regression for AIGC Image Quality Assessment
Jiquan Yuan, Xinyan Cao, Jinming Che +5
Recently, AIGC image quality assessment (AIGCIQA), which aims to assess the quality of AI-generated images (AIGIs) from a human perception perspective, has emerged as a new topic i…
PSCR: Patches Sampling-based Contrastive Regression for AIGC Image Quality Assessment
Jiquan Yuan, Xinyan Cao, Linjing Cao +2
In recent years, Artificial Intelligence Generated Content (AIGC) has gained widespread attention beyond the computer science community. Due to various issues arising from continuo…
PKU-I2IQA: An Image-to-Image Quality Assessment Database for AI Generated Images
Jiquan Yuan, Xinyan Cao, Changjin Li +3
As image generation technology advances, AI-based image generation has been applied in various fields and Artificial Intelligence Generated Content (AIGC) has garnered widespread a…
Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model
Yuxuan Zhao, Xinyan Cao, Jinlong Lin +2
There has been an encouraging progress in the affective states recognition models based on the single-modality signals as electroencephalogram (EEG) signals or peripheral physiolog…