1 citations · 1 across the 8 of their papers we have counts for
8 papers
BC-IHV: Conditioning the Color Space for Stable Rectified-Flow Low-Light Enhancement
Yi Ai, Zheng Chen, Yuanhao Cai +2
Low-light image enhancement (LLIE) must correct ambiguous exposure without overwriting structure already supported by the input. Generative transport can model exposure ambiguity;…
UDAPose: Unsupervised Domain Adaptation for Low-Light Human Pose Estimation
Haopeng Chen, Yihao Ai, Kabeen Kim +3
Low-visibility scenarios, such as low-light conditions, pose significant challenges to human pose estimation due to the scarcity of annotated low-light datasets and the loss of vis…
FineViT: Progressively Unlocking Fine-Grained Perception with Dense Recaptions
Peisen Zhao, Xiaopeng Zhang, Mingxing Xu +10
While Multimodal Large Language Models (MLLMs) have experienced rapid advancements, their visual encoders frequently remain a performance bottleneck. Conventional CLIP-based encode…
LaS-Comp: Zero-shot 3D Completion with Latent-Spatial Consistency
Weilong Yan, Haipeng Li, Hao Xu +4
This paper introduces LaS-Comp, a zero-shot and category-agnostic approach that leverages the rich geometric priors of 3D foundation models to enable 3D shape completion across div…
Flow-Matching Guided Deep Unfolding for Hyperspectral Image Reconstruction
Yi Ai, Yuanhao Cai, Yulun Zhang +2
Reconstructing a three-dimensional hyperspectral cube from a two-dimensional compressed measurement is a severely ill-posed inverse problem. Existing deep unfolding networks (DUNs)…
Distilling Closed-Source LLM's Knowledge for Locally Stable and Economic Biomedical Entity Linking
Yihao Ai, Zhiyuan Ning, Weiwei Dai +5
Biomedical entity linking aims to map nonstandard entities to standard entities in a knowledge base. Traditional supervised methods perform well but require extensive annotated dat…
Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions
Yihao Ai, Yifei Qi, Bo Wang +3
Existing 2D human pose estimation research predominantly concentrates on well-lit scenarios, with limited exploration of poor lighting conditions, which are a prevalent aspect of d…
Bottom-Up 2D Pose Estimation via Dual Anatomical Centers for Small-Scale Persons
Yu Cheng, Yihao Ai, Bo Wang +2
In multi-person 2D pose estimation, the bottom-up methods simultaneously predict poses for all persons, and unlike the top-down methods, do not rely on human detection. However, th…