180 citations · 420 across the 29 of their papers we have counts for
11 papers · 1 filter
D-Separation for Causal Self-Explanation
Wei Liu, Jun Wang, Haozhao Wang +4
Rationalization is a self-explaining framework for NLP models. Conventional work typically uses the maximum mutual information (MMI) criterion to find the rationale that is most in…
The Robust Semantic Segmentation UNCV2023 Challenge Results
Xuanlong Yu, Yi Zuo, Zitao Wang +34
This paper outlines the winning solutions employed in addressing the MUAD uncertainty quantification challenge held at ICCV 2023. The challenge was centered around semantic segment…
OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes
Tao Xie, Kun Dai, Siyi Lu +7
In this work, we seek to predict camera poses across scenes with a multi-task learning manner, where we view the localization of each scene as a new task. We propose OFVL-MS, a uni…
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint
Wei Liu, Jun Wang, Haozhao Wang +5
A self-explaining rationalization model is generally constructed by a cooperative game where a generator selects the most human-intelligible pieces from the input text as rationale…
Sharp upper bounds for the capacity in the hyperbolic and Euclidean spaces
Haizhong Li, Ruixuan Li, Changwei Xiong
We derive various sharp upper bounds for the -capacity of a smooth compact set in the hyperbolic space and the Euclidean space . Firstly, using…
Dual-modality Smart Shoes for Quantitative Assessment of Hemiplegic Patients' Lower Limbs' Muscle Strength
Huajun Long, Jie Li, Rui Li +2
Stroke can lead to the impaired motor ability of the patient's lower limbs and hemiplegia. Accurate assessment of the lower limbs' motor ability is important for diagnosis and reha…
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning
Han Chen, Ziwen Zhao, Yuhua Li +3
Graph Contrastive Learning (GCL) is an effective way to learn generalized graph representations in a self-supervised manner, and has grown rapidly in recent years. However, the und…
MGR: Multi-generator Based Rationalization
Wei Liu, Haozhao Wang, Jun Wang +4
Rationalization is to employ a generator and a predictor to construct a self-explaining NLP model in which the generator selects a subset of human-intelligible pieces of the input…
LSwinSR: UAV Imagery Super-Resolution based on Linear Swin Transformer
Rui Li, Xiaowei Zhao
Super-resolution, which aims to reconstruct high-resolution images from low-resolution images, has drawn considerable attention and has been intensively studied in computer vision…
Structural phase transitions and superconductivity in the Heusler intermetallics PdSn ( = Ti, Zr, Hf)
Hang Su, Feng Du, Rui Li +7
We report the discovery of structural phase transitions and superconductivity in the full Heusler compounds PdSn ( = Ti, Zr, Hf), by means of electrical transport, magnet…
Pillar R-CNN for Point Cloud 3D Object Detection
Guangsheng Shi, Ruifeng Li, Chao Ma
The performance of point cloud 3D object detection hinges on effectively representing raw points, grid-based voxels or pillars. Recent two-stage 3D detectors typically take the poi…