1 citations · 2 across the 4 of their papers we have counts for
9 papers
Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection
Weibo Jiang, Weihong Ren, Jiandong Tian +3
Human-Object Interaction (HOI) detection plays a vital role in scene understanding, which aims to predict the HOI triplet in the form of <human, object, action>. Existing methods m…
XAI for In-hospital Mortality Prediction via Multimodal ICU Data
Xingqiao Li, Jindong Gu, Zhiyong Wang +3
Predicting in-hospital mortality for intensive care unit (ICU) patients is key to final clinical outcomes. AI has shown advantaged accuracy but suffers from the lack of explainabil…
Online Clustering of Bandits with Misspecified User Models
Zhiyong Wang, Jize Xie, Xutong Liu +2
The contextual linear bandit is an important online learning problem where given arm features, a learning agent selects an arm at each round to maximize the cumulative rewards in t…
Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning
Peggy Tang, Junbin Gao, Lei Zhang +1
Recently, compressive text summarisation offers a balance between the conciseness issue of extractive summarisation and the factual hallucination issue of abstractive summarisation…
Full Resolution Repetition Counting
Jianing Li, Bowen Chen, Zhiyong Wang +1
Given an untrimmed video, repetitive actions counting aims to estimate the number of repetitions of class-agnostic actions. To handle the various length of videos and repetitive ac…
Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation
Clinton Ansun Mo, Kun Hu, Chengjiang Long +1
Deriving sophisticated 3D motions from sparse keyframes is a particularly challenging problem, due to continuity and exceptionally skeletal precision. The action features are often…