Tianzhu Zhang

27

Papers

61

Total Citations

Papers (27)

Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation

BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation

Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective

ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting

Dual-Agent Optimization framework for Cross-Domain Few-Shot Segmentation

Rethinking Correspondence-based Category-Level Object Pose Estimation

StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning

SAS: Segment Any 3D Scene with Integrated 2D Priors

Generalized Few-Shot Point Cloud Segmentation via LLM-Assisted Hyper-Relation Matching

CA-I2P: Channel-Adaptive Registration Network with Global Optimal Selection

Implicit Correspondence Learning for Image-to-Point Cloud Registration

Diffusion-based Source-biased Model for Single Domain Generalized Object Detection

Structure-Aware Correspondence Learning for Relative Pose Estimation

Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment

Pamba: Enhancing Global Interaction in Point Clouds via State Space Model

Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation

Exploring the Better Multimodal Synergy Strategy for Vision-Language Models

Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation

Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation

Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning

Unsupervised Template-assisted Point Cloud Shape Correspondence Network

Rethinking Noisy Video-Text Retrieval via Relation-aware Alignment

SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras

Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation

RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation

Learning Neural Scene Representation from iToF Imaging

Exploring Weather-aware Aggregation and Adaptation for Semantic Segmentation under Adverse Conditions