76 citations · 102 across the 6 of their papers we have counts for
7 papers
SynCLIP: Synonym-Coherent Language-Image Pretraining for Robust Open-Vocabulary Dense Perception
Mingjie Xie, Guangjun He, Dongli Xu +5
Open-vocabulary dense perception (OVDP) aims to localize objects unseen during training by leveraging textual knowledge. Despite the remarkable progress of recent CLIP-based approa…
Physics-Aware Novel-View Acoustic Synthesis with Vision-Language Priors and 3D Acoustic Environment Modeling
Congyi Fan, Jian Guan, Youtian Lin +5
Spatial audio is essential for immersive experiences, yet novel-view acoustic synthesis (NVAS) remains challenging due to complex physical phenomena such as reflection, diffraction…
DualMark: Identifying Model and Training Data Origins in Generated Audio
Xuefeng Yang, Jian Guan, Feiyang Xiao +5
Existing watermarking methods for audio generative models only enable model-level attribution, allowing the identification of the originating generation model, but are unable to tr…
Align Your Rhythm: Generating Highly Aligned Dance Poses with Gating-Enhanced Rhythm-Aware Feature Representation
Congyi Fan, Jian Guan, Xuanjia Zhao +5
Automatically generating natural, diverse and rhythmic human dance movements driven by music is vital for virtual reality and film industries. However, generating dance that natura…
FastDrag: Manipulate Anything in One Step
Xuanjia Zhao, Jian Guan, Congyi Fan +4
Drag-based image editing using generative models provides precise control over image contents, enabling users to manipulate anything in an image with a few clicks. However, prevail…
EARL: An Elliptical Distribution aided Adaptive Rotation Label Assignment for Oriented Object Detection in Remote Sensing Images
Jian Guan, Mingjie Xie, Youtian Lin +2
Label assignment is a crucial process in object detection, which significantly influences the detection performance by determining positive or negative samples during training proc…
IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection
Youtian Lin, Pengming Feng, Jian Guan +2
Object detection in aerial images is a challenging task due to the lack of visible features and variant orientation of objects. Significant progress has been made recently for pred…