activity
20242026
most citedI2EDL: Interactive Instruction Error Detection and Localization

3 citations · 4 across the 8 of their papers we have counts for

collaborators

11 papers

cs.AI2026

Mitigating Saliency Collapse: Robust Saliency-Aware Long-Text Image-Text Alignment

Qiuyu Kong, Zanxi Ruan, Marco Cristani +1

Long-text image-text alignment is essential for fine-grained scene understanding, yet existing methods mainly focus on extending context length or improving local alignment. We ide…

cs.CV2026

Is SAM3 ready for pathology segmentation?

Qiuyu Kong, Shakiba Sharifi, Yiming Wang +2

Is Segment Anything Model 3 (SAM3) capable in segmenting Any Pathology Images? Digital pathology segmentation spans tissue-level and nuclei-level scales, where traditional methods…

cs.CV2026

Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection

Muhammad Aqeel, Maham Nazir, Uzair Khan +2

Zero-shot anomaly detection aims to identify defects in unseen categories without target-specific training. Existing methods usually apply the same feature transformation to all sa…

cs.CV2026

Benchmarking Interaction, Beyond Policy: a Reproducible Benchmark for Collaborative Instance Object Navigation

Edoardo Zorzi, Francesco Taioli, Yiming Wang +4

We propose Question-Asking Navigation (QAsk-Nav), the first reproducible benchmark for Collaborative Instance Object Navigation (CoIN) that enables an explicit, separate assessment…

cs.CV2026

StructXLIP: Enhancing Vision-language Models with Multimodal Structural Cues

Zanxi Ruan, Songqun Gao, Qiuyu Kong +2

Edge-based representations are fundamental cues for visual understanding, a principle rooted in early vision research and still central today. We extend this principle to vision-la…

cs.CV2026

Multi-Level Conditioning by Pairing Localized Text and Sketch for Fashion Image Generation

Ziyue Liu, Davide Talon, Federico Girella +5

Sketches offer designers a concise yet expressive medium for early-stage fashion ideation by specifying structure, silhouette, and spatial relationships, while textual descriptions…

cs.CV2026

VISOR: VIsual Spatial Object Reasoning for Language-driven Object Navigation

Francesco Taioli, Shiping Yang, Sonia Raychaudhuri +3

Language-driven object navigation requires agents to interpret natural language descriptions of target objects, which combine intrinsic and extrinsic attributes for instance recogn…

cs.CV2025

LOTS of Fashion! Multi-Conditioning for Image Generation via Sketch-Text Pairing

Federico Girella, Davide Talon, Ziyue Liu +3

Fashion design is a complex creative process that blends visual and textual expressions. Designers convey ideas through sketches, which define spatial structure and design elements…

cs.CV2025

Seeing the Abstract: Translating the Abstract Language for Vision Language Models

Davide Talon, Federico Girella, Ziyue Liu +2

Natural language goes beyond dryly describing visual content. It contains rich abstract concepts to express feeling, creativity and properties that cannot be directly perceived. Ye…

cs.AI2024★ 1 cited

Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues

Francesco Taioli, Edoardo Zorzi, Gianni Franchi +4

Language-driven instance object navigation assumes that human users initiate the task by providing a detailed description of the target instance to the embodied agent. While this d…

cs.RO2024★ 3 cited

I2EDL: Interactive Instruction Error Detection and Localization

Francesco Taioli, Stefano Rosa, Alberto Castellini +5

In the Vision-and-Language Navigation in Continuous Environments (VLN-CE) task, the human user guides an autonomous agent to reach a target goal via a series of low-level actions f…