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20172025
most citedVATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection

7 citations · 13 across the 10 of their papers we have counts for

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8 papers · 1 filter

cs.CV20257 cited

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels

Xiwei Xuan, Xiaoqi Wang, Wenbin He +4

The advances in multi-modal foundation models (FMs) (e.g., CLIP and LLaVA) have facilitated the auto-labeling of large-scale datasets, enhancing model performance in challenging do…

cs.CV2025

VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis

Xinyuan Yan, Xiwei Xuan, Jorge Piazentin Ono +6

Real-world machine learning models require rigorous evaluation before deployment, especially in safety-critical domains like autonomous driving and surveillance. The evaluation of…

cs.CV2024

USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation

Xiaoqi Wang, Wenbin He, Xiwei Xuan +8

The open-vocabulary image segmentation task involves partitioning images into semantically meaningful segments and classifying them with flexible text-defined categories. The recen…

cs.CV2024

A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets

Thang Doan, Sima Behpour, Xin Li +3

Few-shot Class-Incremental Learning (FSCIL) poses the challenge of retaining prior knowledge while learning from limited new data streams, all without overfitting. The rise of Visi…

cs.CV2024

AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding

Xiwei Xuan, Jorge Piazentin Ono, Liang Gou +2

Data slice finding is an emerging technique for validating machine learning (ML) models by identifying and analyzing subgroups in a dataset that exhibit poor performance, often cha…

cs.CV20233 cited

GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients

Sima Behpour, Thang Doan, Xin Li +3

Detecting out-of-distribution (OOD) data is crucial for ensuring the safe deployment of machine learning models in real-world applications. However, existing OOD detection approach…