6 citations · 17 across the 7 of their papers we have counts for
7 papers
DRSeg: Decomposed Two-Stage Rollouts for Efficient Reasoning Segmentation in Multimodal Large Language Models
Yulin He, Wei Chen, Zhikang Jian +5
Reasoning segmentation is an emerging vision-language task that requires reasoning over intricate text queries to precisely segment objects. However, existing methods typically suf…
Real-Time 3D Occupancy Prediction via Geometric-Semantic Disentanglement
Yulin He, Wei Chen, Tianci Xun +1
Occupancy prediction plays a pivotal role in autonomous driving (AD) due to the fine-grained geometric perception and general object recognition capabilities. However, existing met…
USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model
Yulin He, Wei Chen, Yusong Tan +1
Open World Object Detection (OWOD) is a novel and challenging computer vision task that enables object detection with the ability to detect unknown objects. Existing methods typica…
Pseudo-label Correction and Learning For Semi-Supervised Object Detection
Yulin He, Wei Chen, Ke Liang +3
Pseudo-Labeling has emerged as a simple yet effective technique for semi-supervised object detection (SSOD). However, the inevitable noise problem in pseudo-labels significantly de…
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
Zhaoxin Fan, Yulin He, Zhicheng Wang +3
Real-world sensors often produce incomplete, irregular, and noisy point clouds, making point cloud completion increasingly important. However, most existing completion methods rely…
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation
Xin Luo, Wei Chen, Yusong Tan +3
It is desirable to transfer the knowledge stored in a well-trained source model onto non-annotated target domain in the absence of source data. However, state-of-the-art methods fo…
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview
Zhaoxin Fan, Yazhi Zhu, Yulin He +3
Object pose detection and tracking has recently attracted increasing attention due to its wide applications in many areas, such as autonomous driving, robotics, and augmented reali…