activity
20222026
most citedVoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection

3 citations · 3 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2026

LoViF 2026 The First Challenge on Unified Removal of Raindrops and Reflections: Methods and Results

Zewei He, Xi Tong, Yu Chen +49

This workshop paper comprehensively reviews the First Challenge on Unified Removal of Raindrops and Reflections. The challenge aims to address a frequently encountered practical pr…

cs.CV2026

ProMSA:Progressive Multimodal Search Agents for Knowledge-Based Visual Question Answering

ZhengXian Wu, Hangrui Xu, Kai Shi +8

Knowledge-based Visual Question Answering (KB-VQA) requires models to combine image understanding with external knowledge. Most prior methods use a fixed retrieve-then-generate pip…

cs.CV2026

When Models Judge Themselves: Unsupervised Self-Evolution for Multimodal Reasoning

Zhengxian Wu, Kai Shi, Chuanrui Zhang +10

Recent progress in multimodal large language models has led to strong performance on reasoning tasks, but these improvements largely rely on high-quality annotated data or teacher-…

cs.CV2026

UniPR: Unified Object-level Real-to-Sim Perception and Reconstruction from a Single Stereo Pair

Chuanrui Zhang, Yingshuang Zou, ZhengXian Wu +3

Perceiving and reconstructing objects from images are critical for real-to-sim transfer tasks, which are widely used in the robotics community. Existing methods rely on multiple su…

cs.CV2026

Language-Guided and Motion-Aware Gait Representation for Generalizable Recognition

Zhengxian Wu, Chuanrui Zhang, Shenao Jiang +6

Gait recognition is emerging as a promising technology and an innovative field within computer vision, with a wide range of applications in remote human identification. However, ex…

cs.CV2025

MuDG: Taming Multi-modal Diffusion with Gaussian Splatting for Urban Scene Reconstruction

Yingshuang Zou, Yikang Ding, Chuanrui Zhang +6

Recent breakthroughs in radiance fields have significantly advanced 3D scene reconstruction and novel view synthesis (NVS) in autonomous driving. Nevertheless, critical limitations…

cs.CV2025

DAGait: Generalized Skeleton-Guided Data Alignment for Gait Recognition

Zhengxian Wu, Chuanrui Zhang, Hangrui Xu +2

Gait recognition is emerging as a promising and innovative area within the field of computer vision, widely applied to remote person identification. Although existing gait recognit…

cs.CV2025

PSGait: Gait Recognition using Parsing Skeleton

Hangrui Xu, Zhengxian Wu, Chuanrui Zhang +4

Gait recognition has emerged as a robust biometric modality due to its non-intrusive nature. Conventional gait recognition methods mainly rely on silhouettes or skeletons. While ef…

cs.CV2024

TranSplat: Generalizable 3D Gaussian Splatting from Sparse Multi-View Images with Transformers

Chuanrui Zhang, Yingshuang Zou, Zhuoling Li +2

Compared with previous 3D reconstruction methods like Nerf, recent Generalizable 3D Gaussian Splatting (G-3DGS) methods demonstrate impressive efficiency even in the sparse-view se…

cs.CV2024

Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images

Chuanrui Zhang, Yonggen Ling, Minglei Lu +2

We study the 3D object understanding task for manipulating everyday objects with different material properties (diffuse, specular, transparent and mixed). Existing monocular and RG…

cs.CV2023★ 3 cited

VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection

Zhuoling Li, Chuanrui Zhang, Wei-Chiu Ma +5

In recent years, transformer-based detectors have demonstrated remarkable performance in 2D visual perception tasks. However, their performance in multi-view 3D object detection re…

cs.CV2022

Delving into the Pre-training Paradigm of Monocular 3D Object Detection

Zhuoling Li, Chuanrui Zhang, En Yu +1

The labels of monocular 3D object detection (M3OD) are expensive to obtain. Meanwhile, there usually exists numerous unlabeled data in practical applications, and pre-training is a…