activity
20212025
most citedFree-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud

9 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2025

Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images

Jie Mei, Chenyu Lin, Yu Qiu +4

Lung cancer is a leading cause of cancer-related deaths globally. PET-CT is crucial for imaging lung tumors, providing essential metabolic and anatomical information, while it face…

eess.SY2025

Coordinated Energy-Trajectory Economic Model Predictive Control for Autonomous Surface Vehicles under Disturbances

Zhongqi Deng, Yuan Wang, Jian Huang +2

The paper proposes a novel Economic Model Predictive Control (EMPC) scheme for Autonomous Surface Vehicles (ASVs) to simultaneously address path following accuracy and energy const…

cs.CV2024★ 3 cited

Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection

Junfei Yi, Jianxu Mao, Tengfei Liu +5

Knowledge distillation (KD) is a widely adopted and effective method for compressing models in object detection tasks. Particularly, feature-based distillation methods have shown r…

cs.CV2023★ 1 cited

Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast Learning

Yihong Cao, Hui Zhang, Xiao Lu +3

Domain adaptive semantic segmentation enables robust pixel-wise understanding in real-world driving scenes. Source-free domain adaptation, as a more practical technique, addresses…

cs.CV2021

Projected Sliced Wasserstein Autoencoder-based Hyperspectral Images Anomaly Detection

Yurong Chen, Hui Zhang, Yaonan Wang +2

Anomaly detection (AD) has been an active research area in various domains. Yet, the increasing data scale, complexity, and dimension turn the traditional methods into challenging.…

cs.CV2021★ 9 cited

Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud

Mingtao Feng, Zhen Li, Qi Li +6

3D object grounding aims to locate the most relevant target object in a raw point cloud scene based on a free-form language description. Understanding complex and diverse descripti…