133 citations · 510 across the 36 of their papers we have counts for
11 papers · 1 filter
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation
Gengwei Zhang, Yiming Gao, Hang Xu +3
Panoptic segmentation that unifies instance segmentation and semantic segmentation has recently attracted increasing attention. While most existing methods focus on designing novel…
OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research
Kai Li, Hang Xu, Enmin Zhao +2
Owning to the unremitting efforts by a few institutes, significant progress has recently been made in designing superhuman AIs in No-limit Texas Hold'em (NLTH), the primary testbed…
VEGA: Towards an End-to-End Configurable AutoML Pipeline
Bochao Wang, Hang Xu, Jiajin Zhang +21
Automated Machine Learning (AutoML) is an important industrial solution for automatic discovery and deployment of the machine learning models. However, designing an integrated Auto…
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation
Yangxin Wu, Gengwei Zhang, Hang Xu +2
Panoptic segmentation is posed as a new popular test-bed for the state-of-the-art holistic scene understanding methods with the requirement of simultaneously segmenting both foregr…
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
Okan Köpüklü, Jiapeng Zheng, Hang Xu +1
Distracted drivers are more likely to fail to anticipate hazards, which result in car accidents. Therefore, detecting anomalies in drivers' actions (i.e., any action deviating from…
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
Hang Xu, Shaoju Wang, Xinyue Cai +3
We address the curve lane detection problem which poses more realistic challenges than conventional lane detection for better facilitating modern assisted/autonomous driving system…
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling
Wenshuo Ma, Tingzhong Tian, Hang Xu +2
Most state-of-the-art object detection systems follow an anchor-based diagram. Anchor boxes are densely proposed over the images and the network is trained to predict the boxes pos…
JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image
Linpu Fang, Xingyan Liu, Li Liu +2
State-of-the-art single depth image-based 3D hand pose estimation methods are based on dense predictions, including voxel-to-voxel predictions, point-to-point regression, and pixel…
ElixirNet: Relation-aware Network Architecture Adaptation for Medical Lesion Detection
Chenhan Jiang, Shaoju Wang, Hang Xu +2
Most advances in medical lesion detection network are limited to subtle modification on the conventional detection network designed for natural images. However, there exists a vast…
EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement
Linpu Fang, Hang Xu, Zhili Liu +2
Object detectors trained on fully-annotated data currently yield state of the art performance but require expensive manual annotations. On the other hand, weakly-supervised detecto…
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN
Hang Xu, Linpu Fang, Xiaodan Liang +2
The dominant object detection approaches treat each dataset separately and fit towards a specific domain, which cannot adapt to other domains without extensive retraining. In this…