32 citations · 63 across the 6 of their papers we have counts for
6 papers
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond
Thanh Vu, Baochen Sun, Bodi Yuan +3
The success of data mixing augmentations in image classification tasks has been well-received. However, these techniques cannot be readily applied to object detection due to challe…
Allowing Safe Contact in Robotic Goal-Reaching: Planning and Tracking in Operational and Null Spaces
Xinghao Zhu, Wenzhao Lian, Bodi Yuan +2
In recent years, impressive results have been achieved in robotic manipulation. While many efforts focus on generating collision-free reference signals, few allow safe contact betw…
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Yuanyi Zhong, Bodi Yuan, Hong Wu +3
We present a novel semi-supervised semantic segmentation method which jointly achieves two desiderata of segmentation model regularities: the label-space consistency property betwe…
Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics
Zhiwei Jia, Bodi Yuan, Kangkang Wang +4
Many applications of unpaired image-to-image translation require the input contents to be preserved semantically during translations. Unaware of the inherently unmatched semantics…
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka
Urban autonomous driving decision making is challenging due to complex road geometry and multi-agent interactions. Current decision making methods are mostly manually designing the…
Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety
Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka
The decision and planning system for autonomous driving in urban environments is hard to design. Most current methods manually design the driving policy, which can be expensive to…