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Showing papers from Queen Mary, University of London Show all papers

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NeurIPS 2026Queen Mary University of LondonQueen Mary, University of LondonPose & motion

RadarFlowPose: Vision-Inspired Coarse-to-Fine Skeleton Refinement with Flow Matching

Kailu Guo, Akram Alomainy, Khalid Z Rajab

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ZhejiangNanjingAlibaba GroupBeijing University of Chemical TZhejiang LabVision-language models

ALAM: Algebraically Consistent Latent Transitions for Vision-Language-Action Models

Zuojin Tang, Haoyun Liu, Xinyuan Chang, Changjie Wu and 10 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Queen Mary, University of LondonSyngenta AGSyngentaProteins

PaxBench: A Multimodal Sequence Benchmark for Protein Abundance Prediction

Ke Zhai, Oscar J Charles, Helena A Saunders, Conrad Bessant

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026AaltoKing's College London, UnivQueen Mary, University of LondonKing's College LondonXi'an JiaotongImage recognition

CausalAffect: Causally Guided Learning of Psychology-Aligned Facial Affect Relations

Guanyu Hu, Tangzheng Lian, Dimitrios Kollias, Oya Celiktutan and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Michigan StateQueen Mary, University of LondonQueen Mary University of LondonAdobe ResarchMICHIGAN STATE UNIVERSITYVideo generation

LogicDirector: Enforcing Temporal Composition in Text-to-Video Generation

Yujiang Pu, Zixu Cheng, Shaogang Gong, Handong Zhao and 1 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Harbin EngineeringQueen Mary, University of LondonTime series forecasting

Diff-Kalman: Difference-Driven Learning for Structure-Preserving Kalman Filtering

Jia Gao, Xianglei Xing, yang qing, Tianshuo Zhang and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Queen Mary, University of LondonNational Technical University ofQueen Mary University of London Video understanding

Behaviour4All: A Dependency-Aware Toolkit for in-the-wild Facial Behaviour Analysis

Dimitrios Kollias, Chunchang Shao, Odysseus Kaloidas, Ioannis Patras

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U BirminghamQueen Mary, University of LondonJohns HopkinsMedical imaging

Focus, Align, and Diffuse: Time-Series-Aware Keyframe Diffusion for Cardiac Dynamic Synthesis from Sparse Observations

Junkai Liu, Haofan Wu, Nay Aung, Joao A Lima and 2 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Beijing University of Posts and Huazhong University of Science aQueen Mary, University of LondonMohamed bin Zayed University of Shenzhen University of Advanced Federated learning

Rehearsal-Free Statistical Prototype Regularization for Federated Incremental Learning

Xiuying Wang, Yichen Li, Jiahua Cheng, Xiwei Liu and 3 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Queen Mary, University of LondonSoutheastU the Bundeswehr MunichQueen Mary University of LondonNanjing University of Science anVideo understanding

ViewSAM: Learning View-aware Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking

Jiawei Ge, Xintian Zhang, Jiuxin Cao, Bo Liu and 8 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026AaltoKing's College London, UnivQueen Mary, University of LondonXi'an JiaotongKing's College LondonFairness & bias

FairMT: Fairness for Heterogeneous Multi-Task Learning

FairMT introduces a unified fairness framework for heterogeneous multi-task learning with partial labels, using asymmetric constraint aggregation and head-aware optimization to improve fairness without sacrificing utility.

Guanyu Hu, Tangzheng Lian, Na Yan, Dimitrios Kollias and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5