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20162026
most citedUncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation

45 citations · 65 across the 22 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CV2025

Identity-Preserving Text-to-Video Generation via Training-Free Prompt, Image, and Guidance Enhancement

Jiayi Gao, Changcheng Hua, Qingchao Chen +2

Identity-preserving text-to-video (IPT2V) generation creates videos faithful to both a reference subject image and a text prompt. While fine-tuning large pretrained video diffusion…

cs.CV2025

Investigating Domain Gaps for Indoor 3D Object Detection

Zijing Zhao, Zhu Xu, Qingchao Chen +2

As a fundamental task for indoor scene understanding, 3D object detection has been extensively studied, and the accuracy on indoor point cloud data has been substantially improved.…

cs.RO2025

CubeDN: Real-time Drone Detection in 3D Space from Dual mmWave Radar Cubes

Yuan Fang, Fangzhan Shi, Xijia Wei +3

As drone use has become more widespread, there is a critical need to ensure safety and security. A key element of this is robust and accurate drone detection and localization. Whil…

cs.CV2025

Advancing 3D Scene Understanding with MV-ScanQA Multi-View Reasoning Evaluation and TripAlign Pre-training Dataset

Wentao Mo, Qingchao Chen, Yuxin Peng +2

The advancement of 3D vision-language (3D VL) learning is hindered by several limitations in existing 3D VL datasets: they rarely necessitate reasoning beyond a close range of obje…

cs.CV2025

TRKT: Weakly Supervised Dynamic Scene Graph Generation with Temporal-enhanced Relation-aware Knowledge Transferring

Zhu Xu, Ting Lei, Zhimin Li +4

Dynamic Scene Graph Generation (DSGG) aims to create a scene graph for each video frame by detecting objects and predicting their relationships. Weakly Supervised DSGG (WS-DSGG) re…

cs.CV2025

Open-Vocabulary HOI Detection with Interaction-aware Prompt and Concept Calibration

Ting Lei, Shaofeng Yin, Qingchao Chen +2

Open Vocabulary Human-Object Interaction (HOI) detection aims to detect interactions between humans and objects while generalizing to novel interaction classes beyond the training…