24 citations · 30 across the 11 of their papers we have counts for
12 papers
TeFlow: Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation
Qingwen Zhang, Chenhan Jiang, Xiaomeng Zhu +4
Self-supervised feed-forward methods for scene flow estimation offer real-time efficiency, but their supervision from two-frame point correspondences is unreliable and often breaks…
Unleashing Vision-Language Semantics for Deepfake Video Detection
Jiawen Zhu, Yunqi Miao, Xueyi Zhang +2
Recent Deepfake Video Detection (DFD) studies have demonstrated that pre-trained Vision-Language Models (VLMs) such as CLIP exhibit strong generalization capabilities in detecting…
Diffusion-Based Makeup Transfer with Facial Region-Aware Makeup Features
Zheng Gao, Debin Meng, Yunqi Miao +4
Current diffusion-based makeup transfer methods commonly use the makeup information encoded by off-the-shelf foundation models (e.g., CLIP) as condition to preserve the makeup styl…
FG-Portrait: 3D Flow Guided Editable Portrait Animation
Yating Xu, Yunqi Miao, Evangelos Ververas +2
Motion transfer from the driving to the source portrait remains a key challenge in the portrait animation. Current diffusion-based approaches condition only on the driving motion,…
SAM-Body4D: Training-Free 4D Human Body Mesh Recovery from Videos
Mingqi Gao, Yunqi Miao, Jungong Han
Human Mesh Recovery (HMR) aims to reconstruct 3D human pose and shape from 2D observations and is fundamental to human-centric understanding in real-world scenarios. While recent i…
LSVOS 2025 Challenge Report: Recent Advances in Complex Video Object Segmentation
Chang Liu, Henghui Ding, Kaining Ying +46
This report presents an overview of the 7th Large-scale Video Object Segmentation (LSVOS) Challenge held in conjunction with ICCV 2025. Besides the two traditional tracks of LSVOS…
The 1st Solution for MOSEv2 Challenge 2025: Long-term and Concept-aware Video Segmentation via SeC
Mingqi Gao, Jingkun Chen, Yunqi Miao +3
This technical report explores the MOSEv2 track of the LSVOS Challenge, which targets complex semi-supervised video object segmentation. By analysing and adapting SeC, an enhanced…
Unlocking the Potential of Diffusion Priors in Blind Face Restoration
Yunqi Miao, Zhiyu Qu, Mingqi Gao +4
Although diffusion prior is rising as a powerful solution for blind face restoration (BFR), the inherent gap between the vanilla diffusion model and BFR settings hinders its seamle…
WaveFace: Authentic Face Restoration with Efficient Frequency Recovery
Yunqi Miao, Jiankang Deng, Jungong Han
Although diffusion models are rising as a powerful solution for blind face restoration, they are criticized for two problems: 1) slow training and inference speed, and 2) failure i…
Confidence-guided Centroids for Unsupervised Person Re-Identification
Yunqi Miao, Jiankang Deng, Guiguang Ding +1
Unsupervised person re-identification (ReID) aims to train a feature extractor for identity retrieval without exploiting identity labels. Due to the blind trust in imperfect cluste…
On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification
Yunqi Miao, Nianchang Huang, Xiao Ma +2
Visible-infrared person re-identification (VI-ReID) has been challenging due to the existence of large discrepancies between visible and infrared modalities. Most pioneering approa…
Shallow Feature Based Dense Attention Network for Crowd Counting
Yunqi Miao, Zijia Lin, Guiguang Ding +1
While the performance of crowd counting via deep learning has been improved dramatically in the recent years, it remains an ingrained problem due to cluttered backgrounds and varyi…