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20232026
most citedBeyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation

11 citations · 31 across the 18 of their papers we have counts for

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9 papers · 1 filter

cs.CV2023

Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation

Sihan Liu, Yiwei Ma, Xiaoqing Zhang +4

Referring Remote Sensing Image Segmentation (RRSIS) is a new challenge that combines computer vision and natural language processing, delineating specific regions in aerial images…

cs.CV2023★ 2 cited

X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation

Yiwei Ma, Yijun Fan, Jiayi Ji +5

In recent times, automatic text-to-3D content creation has made significant progress, driven by the development of pretrained 2D diffusion models. Existing text-to-3D methods typic…

cs.CV2023★ 7 cited

Semi-Supervised Panoptic Narrative Grounding

Danni Yang, Jiayi Ji, Xiaoshuai Sun +4

Despite considerable progress, the advancement of Panoptic Narrative Grounding (PNG) remains hindered by costly annotations. In this paper, we introduce a novel Semi-Supervised Pan…

cs.CV2023★ 1 cited

NICE: Improving Panoptic Narrative Detection and Segmentation with Cascading Collaborative Learning

Haowei Wang, Jiayi Ji, Tianyu Guo +4

Panoptic Narrative Detection (PND) and Segmentation (PNS) are two challenging tasks that involve identifying and locating multiple targets in an image according to a long narrative…

cs.CV2023

JM3D & JM3D-LLM: Elevating 3D Understanding with Joint Multi-modal Cues

Jiayi Ji, Haowei Wang, Changli Wu +3

The rising importance of 3D understanding, pivotal in computer vision, autonomous driving, and robotics, is evident. However, a prevailing trend, which straightforwardly resorted t…

cs.CV2023

3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation

Changli Wu, Yiwei Ma, Qi Chen +4

In 3D Referring Expression Segmentation (3D-RES), the earlier approach adopts a two-stage paradigm, extracting segmentation proposals and then matching them with referring expressi…

cs.CV2023★ 11 cited

Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation

Haowei Wang, Jiji Tang, Jiayi Ji +8

In recent years, 3D understanding has turned to 2D vision-language pre-trained models to overcome data scarcity challenges. However, existing methods simply transfer 2D alignment s…

cs.CV2023★ 4 cited

X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance

Yiwei Ma, Xiaioqing Zhang, Xiaoshuai Sun +5

Text-driven 3D stylization is a complex and crucial task in the fields of computer vision (CV) and computer graphics (CG), aimed at transforming a bare mesh to fit a target text. P…

cs.CV2023★ 1 cited

Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network

Haowei Wang, Jiayi Ji, Yiyi Zhou +2

Panoptic Narrative Grounding (PNG) is an emerging cross-modal grounding task, which locates the target regions of an image corresponding to the text description. Existing approache…