2 citations · 2 across the 9 of their papers we have counts for
7 papers · 1 filter
Adversarial Prompts for Acceptance Collapse in Speculative Decoding
Run Wang, Chaoyi Zhou, Xi Liu +7
Lossless acceleration schemes, such as speculative decoding, promise significant inference speedups by relying on dynamic token-level alignment between a draft and a target model.…
Experimental and model-assisted analysis of lamella thinning and breakup in diesel-surrogate fuel-droplet wall impingement under Leidenfrost conditions
Xinquan Liang, Daniel Olufemi Olurotimi, Xi Liu +2
Hot-wall fuel-droplet impingement affects liquid redistribution, secondary droplet formation, and droplet evaporation in diesel-relevant spray-wall systems. This study investigates…
Digital measurement of droplet flame diameter in microgravity combustion images using Segment Anything Model 2 with automatic prompt selection
Minghui Xu, Chaoyi Zhou, Aaron P. Cecil +3
Flame diameter is a key measurable parameter in microgravity droplet combustion, but its extraction from self-illuminated frames remains difficult because soot tails, blurred lumin…
HAD: Hallucination-Aware Diffusion Priors for 3D Reconstruction
Xi Liu, Weiwei Sun, Zhou Ren +3
Diffusion priors have recently demonstrated strong capability in enhancing the quality of sparse-view 3D reconstruction by augmenting training views at novel viewpoints, but they i…
Sat3R: Satellite DSM Reconstruction via RPC-Aware Depth Fine-tuning
Qiaoyi Yang, Chaoyi Zhou, Xi Liu +9
Accurate Digital Surface Model (DSM) reconstruction from satellite imagery is critical for applications such as disaster response, urban planning, and large-scale geographic mappin…
Controlling Your Image via Simplified Vector Graphics
Lanqing Guo, Xi Liu, Yufei Wang +2
Recent advances in image generation have achieved remarkable visual quality, while a fundamental challenge remains: Can image generation be controlled at the element level, enablin…
FlexMap: Robust HD Map Construction under Flexible Camera Configurations
Run Wang, Chaoyi Zhou, Amir Salarpour +5
High-definition (HD) maps provide essential semantic information about road structures for autonomous driving, but existing HD map construction methods typically require calibrated…