26 citations · 93 across the 23 of their papers we have counts for
16 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…
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…
Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation
Qingchen Tang, Lei Fan, Maurice Pagnucco +1
Weakly supervised image segmentation with image-level labels has drawn attention due to the high cost of pixel-level annotations. Traditional methods using Class Activation Maps (C…
Interpretable Image Classification via Non-parametric Part Prototype Learning
Zhijie Zhu, Lei Fan, Maurice Pagnucco +1
Classifying images with an interpretable decision-making process is a long-standing problem in computer vision. In recent years, Prototypical Part Networks has gained traction as a…
MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects
Lei Fan, Dongdong Fan, Zhiguang Hu +5
We present MANTA, a visual-text anomaly detection dataset for tiny objects. The visual component comprises over 137.3K images across 38 object categories spanning five typical doma…
Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection
Lei Fan, Junjie Huang, Donglin Di +4
For anomaly detection (AD), early approaches often train separate models for individual classes, yielding high performance but posing challenges in scalability and resource managem…
Dataset Distillation for Histopathology Image Classification
Cong Cong, Shiyu Xuan, Sidong Liu +3
Deep neural networks (DNNs) have exhibited remarkable success in the field of histopathology image analysis. On the other hand, the contemporary trend of employing large models and…
An annotated grain kernel image database for visual quality inspection
Lei Fan, Yiwen Ding, Dongdong Fan +4
We present a machine vision-based database named GrainSet for the purpose of visual quality inspection of grain kernels. The database contains more than 350K single-kernel images w…
DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation
Haoran Fan, Qi Fan, Maurice Pagnucco +1
Few-shot segmentation (FSS) aims to segment novel classes in a query image by using only a small number of supporting images from base classes. However, in cross-domain few-shot se…
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection
Lei Fan, Yiwen Ding, Dongdong Fan +3
Cereal grain plays a crucial role in the human diet as a major source of essential nutrients. Grain Appearance Inspection (GAI) serves as an essential process to determine grain qu…
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition
Junyan Wang, Zhenhong Sun, Yichen Qian +5
3D convolution neural networks (CNNs) have been the prevailing option for video recognition. To capture the temporal information, 3D convolutions are computed along the sequences,…
Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction
Lihuan Li, Maurice Pagnucco, Yang Song
Pedestrian trajectory prediction is an essential and challenging task for a variety of real-life applications such as autonomous driving and robotic motion planning. Besides genera…
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains
Lei Fan, Yiwen Ding, Dongdong Fan +3
Cereal grains are a vital part of human diets and are important commodities for people's livelihood and international trade. Grain Appearance Inspection (GAI) serves as one of the…
Discriminative Latent Semantic Graph for Video Captioning
Yang Bai, Junyan Wang, Yang Long +4
Video captioning aims to automatically generate natural language sentences that can describe the visual contents of a given video. Existing generative models like encoder-decoder f…