15 citations · 25 across the 8 of their papers we have counts for
10 papers
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
Yuhao Chen, Xin Tan, Borui Zhao +4
Semi-supervised learning (SSL) has attracted enormous attention due to its vast potential of mitigating the dependence on large labeled datasets. The latest methods (e.g., FixMatch…
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy
Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng +3
Recently, there has been tremendous interest in industry 4.0 infrastructure to address labor shortages in global supply chains. Deploying artificial intelligence-enabled robotic bi…
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis
Maximilian Gilles, Yuhao Chen, Tim Robin Winter +2
Autonomous bin picking poses significant challenges to vision-driven robotic systems given the complexity of the problem, ranging from various sensor modalities, to highly entangle…
Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification
Guoqing Zhang, Yuhao Chen, Weisi Lin +2
As a prevailing task in video surveillance and forensics field, person re-identification (re-ID) aims to match person images captured from non-overlapped cameras. In unconstrained…
TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Search
Yuhao Chen, Guoqing Zhang, Yujiang Lu +3
Text-based person search is a sub-task in the field of image retrieval, which aims to retrieve target person images according to a given textual description. The significant featur…
Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-Identification
Guoqing Zhang, Yuhao Chen, Yang Dai +2
Recently, video-based person re-identification (re-ID) has drawn increasing attention in compute vision community because of its practical application prospects. Due to the inaccur…