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20232026
most citedSemi-Supervised Panoptic Narrative Grounding

7 citations · 23 across the 49 of their papers we have counts for

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Showing 2023Show all

6 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.MM2023

MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization

Tao Chen, Ze Lin, Hui Li +4

Given the long textual product information and the product image, Multi-modal Product Summarization (MPS) aims to increase customers' desire to purchase by highlighting product cha…