31 citations · 51 across the 5 of their papers we have counts for
7 papers
Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
Zhuohang Zhu, Haodong Chen, Qiang Qu +2
Effective stock price forecasting (estimating future prices) and prediction (estimating future price changes) are pivotal for investors, regulatory agencies, and policymakers. Thes…
EvAnimate: Event-conditioned Image-to-Video Generation for Human Animation
Qiang Qu, Ming Li, Xiaoming Chen +1
Conditional human animation traditionally animates static reference images using pose-based motion cues extracted from video data. However, these video-derived cues often suffer fr…
LLM-EvRep: Learning an LLM-Compatible Event Representation Using a Self-Supervised Framework
Zongyou Yu, Qiang Qu, Qian Zhang +2
Recent advancements in event-based recognition have demonstrated significant promise, yet most existing approaches rely on extensive training, limiting their adaptability for effic…
NVS-SQA: Exploring Self-Supervised Quality Representation Learning for Neurally Synthesized Scenes without References
Qiang Qu, Yiran Shen, Xiaoming Chen +3
Neural View Synthesis (NVS), such as NeRF and 3D Gaussian Splatting, effectively creates photorealistic scenes from sparse viewpoints, typically evaluated by quality assessment met…
NeRF-NQA: No-Reference Quality Assessment for Scenes Generated by NeRF and Neural View Synthesis Methods
Qiang Qu, Hanxue Liang, Xiaoming Chen +2
Neural View Synthesis (NVS) has demonstrated efficacy in generating high-fidelity dense viewpoint videos using a image set with sparse views. However, existing quality assessment m…
EvRepSL: Event-Stream Representation via Self-Supervised Learning for Event-Based Vision
Qiang Qu, Xiaoming Chen, Yuk Ying Chung +1
Event-stream representation is the first step for many computer vision tasks using event cameras. It converts the asynchronous event-streams into a formatted structure so that conv…