26 citations · 93 across the 23 of their papers we have counts for
6 papers · 1 filter
Sparse All-Layer Connector for Domain Generalised Semantic Segmentation
Ruoyu Guo, Xin Kun Lin, Maurice Pagnucco +1
Domain generalised semantic segmentation (DGSS) has recently benefited from combining multiple foundation models, such as vision-language and vision foundation models, to leverage…
Identifying Temporal Features within Transcoders for Time Sensitive Factual Recall
Sanjay Govindan, Yang Song, Maurice Pagnucco
Large Language Models (LLMs) suffer from temporal misalignment, often due to the contradictory nature of their training corpora. While current mitigation strategies rely on computa…
Hierarchical Prompt Injector for Domain Generalization Segmentation
Xin Kun Lin, Ruoyu Guo, Jiaqi Guo +2
Domain Generalized Semantic Segmentation (DGSS) is a challenging task, as vision models often rely on low-level appearance cues that change across domains. In contrast, structural…
P-PatchDiff: Progressive Patch Diffusion Models for Low-light Image Enhancement
Ruoyu Guo, Haonan Zhong, Maurice Pagnucco +1
Recent advancements in low-light image enhancement have leveraged diffusion models for their strong ability to generate perceptually realistic, detailed images. Patch diffusion mod…
FAIRT2V: Training-Free Debiasing for Text-to-Video Diffusion Models
Haonan Zhong, Wei Song, Tingxu Han +3
Text-to-video (T2V) diffusion models have achieved rapid progress, yet their demographic biases, particularly gender bias, remain largely unexplored. We present FairT2V, a training…
Reinforcement Learning for Follow-the-Leader Robotic Endoscopic Navigation via Synthetic Data
Sicong Gao, Chen Qian, Laurence Xian +3
Autonomous navigation is crucial for both medical and industrial endoscopic robots, enabling safe and efficient exploration of narrow tubular environments without continuous human…