activity
20172026
most citedSemi-Supervised Video Salient Object Detection Using Pseudo-Labels

10 citations · 23 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Generative World Simulation with DAO and JING

XGEN Team, Guohao Cai, Haoxuan Che +16

We present a Generative World Simulation framework that couples persistent shared world state with continuous first-person audiovisual generation. The framework integrates DAO, a c…

cs.CV2026

DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior

Junjia Huang, Binbin Yang, Pengxiang Yan +6

Storyboard synthesis plays a crucial role in visual storytelling, aiming to generate coherent shot sequences that visually narrate cinematic events with consistent characters, scen…

cs.CV2025

DreamFuse: Adaptive Image Fusion with Diffusion Transformer

Junjia Huang, Pengxiang Yan, Jiyang Liu +5

Image fusion seeks to seamlessly integrate foreground objects with background scenes, producing realistic and harmonious fused images. Unlike existing methods that directly insert…

cs.CV2025

DreamLayer: Simultaneous Multi-Layer Generation via Diffusion Mode

Junjia Huang, Pengxiang Yan, Jinhang Cai +5

Text-driven image generation using diffusion models has recently gained significant attention. To enable more flexible image manipulation and editing, recent research has expanded…

cs.CV2023★ 10 cited

FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation

Jie Qin, Jie Wu, Pengxiang Yan +8

Recently, open-vocabulary learning has emerged to accomplish segmentation for arbitrary categories of text-based descriptions, which popularizes the segmentation system to more gen…

cs.CV2022★ 1 cited

Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning

Pengxiang Yan, Ziyi Wu, Mengmeng Liu +3

Recent advances in deep learning significantly boost the performance of salient object detection (SOD) at the expense of labeling larger-scale per-pixel annotations. To relieve the…

cs.CV2019★ 10 cited

Semi-Supervised Video Salient Object Detection Using Pseudo-Labels

Pengxiang Yan, Guanbin Li, Yuan Xie +4

Deep learning-based video salient object detection has recently achieved great success with its performance significantly outperforming any other unsupervised methods. However, exi…

cs.CV2017★ 2 cited

Instance-Level Salient Object Segmentation

Guanbin Li, Yuan Xie, Liang Lin +1

Image saliency detection has recently witnessed rapid progress due to deep convolutional neural networks. However, none of the existing methods is able to identify object instances…