activity
20212024
most citedFine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection

28 citations · 54 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024★ 5 cited

Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning

Bingqian Lin, Yanxin Long, Yi Zhu +4

Vision-and-language navigation (VLN) asks an agent to follow a given language instruction to navigate through a real 3D environment. Despite significant advances, conventional VLN…

cs.CV2024

DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation

Minbin Huang, Yanxin Long, Xinchi Deng +6

Text-to-image (T2I) generation models have significantly advanced in recent years. However, effective interaction with these models is challenging for average users due to the need…

cs.CV2023★ 2 cited

CapDet: Unifying Dense Captioning and Open-World Detection Pretraining

Yanxin Long, Youpeng Wen, Jianhua Han +5

Benefiting from large-scale vision-language pre-training on image-text pairs, open-world detection methods have shown superior generalization ability under the zero-shot or few-sho…

cs.CV2023

NLIP: Noise-robust Language-Image Pre-training

Runhui Huang, Yanxin Long, Jianhua Han +4

Large-scale cross-modal pre-training paradigms have recently shown ubiquitous success on a wide range of downstream tasks, e.g., zero-shot classification, retrieval and image capti…

cs.CV2022★ 28 cited

Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection

Yanxin Long, Jianhua Han, Runhui Huang +4

Inspired by the success of vision-language methods (VLMs) in zero-shot classification, recent works attempt to extend this line of work into object detection by leveraging the loca…

cs.CV2021★ 19 cited

Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation

Bingqian Lin, Yi Zhu, Yanxin Long +3

Language instruction plays an essential role in the natural language grounded navigation tasks. However, navigators trained with limited human-annotated instructions may have diffi…