Folgen
Jianhao Yuan
Jianhao Yuan
University of Oxford
Bestätigte E-Mail-Adresse bei robots.ox.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Efficient multimodal learning from data-centric perspective
M He, Y Liu, B Wu, J Yuan, Y Wang, T Huang, B Zhao
arXiv preprint arXiv:2402.11530, 2024
652024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model
J Yuan, S Sun, D Omeiza, B Zhao, P Newman, L Kunze, M Gadd
Robotics: Science and Systems (RSS), 2024
332024
Not just pretty pictures: Text-to-image generators enable interpretable interventions for robust representations
J Yuan, F Pinto, A Davies, A Gupta, P Torr
International Conference on Machine Learning (ICML), 2024
23*2024
Real-Fake: Effective Training Data Synthesis Through Distribution Matching
J Yuan, J Zhang, S Sun, P Torr, B Zhao
International Conference on Learning Representations (ICLR), 2024
182024
Spatialbot: Precise spatial understanding with vision language models
W Cai, I Ponomarenko, J Yuan, X Li, W Yang, H Dong, B Zhao
arXiv preprint arXiv:2406.13642, 2024
92024
SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model
B Cao, J Yuan, Y Liu, J Li, S Sun, J Liu, B Zhao
arXiv preprint arXiv:2402.18068, 2024
42024
Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance
J Yuan, P Newman, M Gadd
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
22023
kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies
Z Gui, S Sun, R Li, J Yuan, Z An, K Roth, A Prabhu, P Torr
Transactions on Machine Learning Research (TMLR), 2024
12024
Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models
A Hemmat, A Davies, TA Lamb, J Yuan, P Torr, A Khakzar, F Pinto
Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2024
2024
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–9