7 citations · 7 across the 8 of their papers we have counts for
12 papers
Beyond Facial Consistency: Personalized Person Image Generation with Holistic Identity Preservation
Yuxuan Xiao, Shanshan Zhang, Jian Yang +1
Personalized person image generation requires preserving subject identity across both local facial details and broader appearance cues. Existing methods typically emphasize only on…
IREU: Identity-Related Encoder-Only Unlearning for Customized Portrait Generation
Chaoyi Shi, Shanshan Zhang, Jian Yang
Customized Portrait Generation (CPG) technologies have been widely used to generate high-fidelity person images given an input image indicating the identity and a text prompt indic…
One-Shot Novel View and Pose Human Image Synthesis via 3D Prior Guided Diffusion Model
Shenjian Gong, Kangkan Wang, Shanshan Zhang +1
This paper addresses the challenge of one-shot novel view and pose human image synthesis. The existing methods transfer the reference human image to a target pose using a set of 2D…
Shape-Prior-Based Point Cloud Completion for Single-Stage Fully Sparse 3D Object Detection
Kaizheng Wang, Mingqian Ji, Jian Yang +1
Single-stage fully sparse 3D object detectors rely on point clouds data to detect objects in autonomous driving scenarios. However, the sparsity and incompleteness of point clouds…
Revisiting Token Compression for Accelerating ViT-based Sparse Multi-View 3D Object Detectors
Mingqian Ji, Shanshan Zhang, Jian Yang
Vision Transformer (ViT)-based sparse multi-view 3D object detectors have achieved remarkable accuracy but still suffer from high inference latency due to heavy token processing. T…
RayMamba: Ray-Aligned Serialization for Long-Range 3D Object Detection
Cheng Lu, Mingqian Ji, Shanshan Zhang +2
Long-range 3D object detection remains challenging because LiDAR observations become highly sparse and fragmented in the far field, making reliable context modeling difficult for e…
Enhancing Pseudo-Boxes via Data-Level LiDAR-Camera Fusion for Unsupervised 3D Object Detection
Mingqian Ji, Jian Yang, Shanshan Zhang
Existing LiDAR-based 3D object detectors typically rely on manually annotated labels for training to achieve good performance. However, obtaining high-quality 3D labels is time-con…
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving
Mingqian Ji, Jian Yang, Shanshan Zhang
Current multi-view 3D object detection methods typically transfer 2D features into 3D space using depth estimation or 3D position encoder, but in a fully data-driven and implicit m…
DepthFusion: Depth-Aware Hybrid Feature Fusion for LiDAR-Camera 3D Object Detection
Mingqian Ji, Jian Yang, Shanshan Zhang
State-of-the-art LiDAR-camera 3D object detectors usually focus on feature fusion. However, they neglect the factor of depth while designing the fusion strategy. In this work, we a…
Imagine the Unseen: Occluded Pedestrian Detection via Adversarial Feature Completion
Shanshan Zhang, Mingqian Ji, Yang Li +1
Pedestrian detection has significantly progressed in recent years, thanks to the development of DNNs. However, detection performance at occluded scenes is still far from satisfacto…
Grouped Adaptive Loss Weighting for Person Search
Yanling Tian, Di Chen, Yunan Liu +2
Person search is an integrated task of multiple sub-tasks such as foreground/background classification, bounding box regression and person re-identification. Therefore, person sear…
Bi-level Alignment for Cross-Domain Crowd Counting
Shenjian Gong, Shanshan Zhang, Jian Yang +2
Recently, crowd density estimation has received increasing attention. The main challenge for this task is to achieve high-quality manual annotations on a large amount of training d…