19 citations · 35 across the 11 of their papers we have counts for
11 papers
Diff-PC: Identity-preserving and 3D-aware Controllable Diffusion for Zero-shot Portrait Customization
Yifang Xu, Benxiang Zhai, Chenyu Zhang +3
Portrait customization (PC) has recently garnered significant attention due to its potential applications. However, existing PC methods lack precise identity (ID) preservation and…
FaceSnap: Enhanced ID-fidelity Network for Tuning-free Portrait Customization
Benxiang Zhai, Yifang Xu, Guofeng Zhang +2
Benefiting from the significant advancements in text-to-image diffusion models, research in personalized image generation, particularly customized portrait generation, has also mad…
HiFi-Portrait: Zero-shot Identity-preserved Portrait Generation with High-fidelity Multi-face Fusion
Yifang Xu, Benxiang Zhai, Yunzhuo Sun +3
Recent advancements in diffusion-based technologies have made significant strides, particularly in identity-preserved portrait generation (IPG). However, when using multiple refere…
Omnidirectional Depth-Aided Occupancy Prediction based on Cylindrical Voxel for Autonomous Driving
Chaofan Wu, Jiaheng Li, Jinghao Cao +6
Accurate 3D perception is essential for autonomous driving. Traditional methods often struggle with geometric ambiguity due to a lack of geometric prior. To address these challenge…
Multi-modal Fusion and Query Refinement Network for Video Moment Retrieval and Highlight Detection
Yifang Xu, Yunzhuo Sun, Benxiang Zhai +3
Given a video and a linguistic query, video moment retrieval and highlight detection (MR&HD) aim to locate all the relevant spans while simultaneously predicting saliency scores. M…
Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models
Yifang Xu, Yunzhuo Sun, Benxiang Zhai +4
The target of video moment retrieval (VMR) is predicting temporal spans within a video that semantically match a given linguistic query. Existing VMR methods based on multimodal la…
Robust and Flexible Omnidirectional Depth Estimation with Multiple 360-degree Cameras
Ming Li, Xuejiao Hu, Xueqian Jin +3
Omnidirectional depth estimation has received much attention from researchers in recent years. However, challenges arise due to camera soiling and variations in camera layouts, aff…
Real-time Multi-view Omnidirectional Depth Estimation for Real Scenarios based on Teacher-Student Learning with Unlabeled Data
Ming Li, Xiong Yang, Chaofan Wu +5
Omnidirectional depth estimation enables efficient 3D perception over a full 360-degree range. However, in real-world applications such as autonomous driving and robotics, achievin…
GPTSee: Enhancing Moment Retrieval and Highlight Detection via Description-Based Similarity Features
Yunzhuo Sun, Yifang Xu, Zien Xie +2
Moment retrieval (MR) and highlight detection (HD) aim to identify relevant moments and highlights in video from corresponding natural language query. Large language models (LLMs)…
VTG-GPT: Tuning-Free Zero-Shot Video Temporal Grounding with GPT
Yifang Xu, Yunzhuo Sun, Zien Xie +2
Video temporal grounding (VTG) aims to locate specific temporal segments from an untrimmed video based on a linguistic query. Most existing VTG models are trained on extensive anno…
Topology Design for GNSSs Considering Both Inter-satellite Links and Ground-satellite Links
Z. Yan, K. Zhao, W. Li +4
Inter-satellite links (ISLs) are adopted in global navigation satellite systems (GNSSs) for high-precision orbit determination and space-based end-to-end telemetry telecommand cont…