Reference author: Yimu Wang

First name

Yimu

Last name

Wang

Chow, A., Riddell, E., Wang, Y., Sedwards, S., & Czarnecki, K. (2025). OV-SCAN: Semantically Consistent Alignment for Novel Object Discovery in Open-Vocabulary 3D Object Detection Presented at the IEEE/CVF/International/Conference/on/Computer/Vision/(ICCV) conference. Honolulu, USA: Computer Vision Foundation. Retrieved from https://openaccess.thecvf.com/content/ICCV2025/html/Chow_OV-SCAN_Semantically_Consistent_Alignment_for_Novel_Object_Discovery_in_Open-Vocabulary_ICCV_2025_paper.html (Original work published 2025)

Wang, Y., & Czarnecki, K. (2025). AiDe: Improving 3D Open-Vocabulary Semantic Segmentation by Aligned Vision-Language Learning Presented at the IEEE/CVF/Winter/Conference/on/Applications/of/Computer/Vision/(WACV) conference. Tucson, AZ, USA: IEEE. https://doi.org/10.1109/WACV61041.2025.00265 (Original work published 2025)

Wang, Y., Azadani, M. N., Sedwards, S., & Czarnecki, K. (2025). Leo-mini: An efficient multimodal large language model using conditional token reduction and mixture of multi-modal experts Presented at the Conference on Empirical Methods in Natural Language Processing (EMNLP) conference. Suzhou, China. https://doi.org/10.18653/v1/2025.emnlp-main.368 (Original work published 2025)

Wang, Y., Riddell, E., Chow, A., Sedwards, S., & Czarnecki, K. (2026). Mitigating the modality gap: Few-shot out-of-distribution detection with multi-modal prototypes and image bias estimation Presented at the IEEE/CVF/Winter/Conference/on/Applications/of/Computer/Vision conference. Tucson, Arizona, USA. Retrieved from https://openreview.net/pdf?id=tgnTVmRybs

Wang, Y., Azadani, M. N., Sedwards, S., & Czarnecki, K. (2025). Hawaii: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models Presented at the Advances in Neural Information Processing Systems (NeurIPS) conference. San Diego, USA: Curran Associates, Inc. Retrieved from https://proceedings.neurips.cc/paper_files/paper/2025/file/018af723a54a6d3bc5706d3a3126abf0-Paper-Conference.pdf (Original work published 2025)