output
19942026
most citedMachine learning and deep learning

2.6k citations

976 papers

cs.CV2026

Scene-aware Prediction of Diverse Human Movement Goals

Qiaoyue Yang, Amadeus Weber, Magnus Jung +2

Anticipation of human behaviours facilitates autonomous systems in proactive planning. Human behaviour could be stochastic due to varying goals. Human goals typically guide their o…

cs.CV2026

Long-Term Prediction of Local and Global Human Motion with Occlusion Recovery

Qiaoyue Yang, Sven Heutger, Christopher Niemann +3

Human motion describes the three-dimensional full-body movement of a person. Anticipating such motion holds significant relevance across a wide range of application domains such as…

stat.ML2026

Active multiple matrix completion with adaptive confidence sets

Andrea Locatelli, Alexandra Carpentier, Michal Valko

In this work, we formulate a new multi-task active learning setting in which the learner's goal is to solve multiple matrix completion problems simultaneously. At each round, the l…

cs.CV2026

Transcending the Annotation Bottleneck: AI-Powered Discovery in Biology and Medicine

Soumick Chatterjee

The dependence on expert annotation has long constituted the primary rate-limiting step in the application of artificial intelligence to biomedicine. While supervised learning drov…

cs.CV2026

Contactless estimation of continuum displacement and mechanical compressibility from image series using a deep learning based framework

A. N. Maria Antony, T. Richter, E. Gladilin

Contactless and non-invasive estimation of mechanical properties of physical media from optical observations is of interest for manifold engineering and biomedical applications, wh…

eess.IV2026

Towards Segmenting the Invisible: An End-to-End Registration and Segmentation Framework for Weakly Supervised Tumour Analysis

Budhaditya Mukhopadhyay, Chirag Mandal, Pavan Tummala +3

Liver tumour ablation presents a significant clinical challenge: whilst tumours are clearly visible on pre-operative MRI, they are often effectively invisible on intra-operative CT…