![Photo of Yan, Yan](https://cs.uic.edu/wp-content/uploads/sites/110/2024/08/yan_yan-157x180.jpeg)
Yan Yan
Associate Professor
Department of Computer Science
Contact
Building & Room:
Library LIB3-190G
Address:
801 S. Morgan, Chicago, IL 60607
Email:
About
Research Interests:
Computer Vision, Machine learning, Multimedia
Selected Presentations
- Weitai Kang, Gaowen Liu, Mubarak Shah, Yan Yan. "SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding". In: European Conference on Computer Vision (ECCV). 2024
- Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan. "Dataset Quantization with Active Learning based Adaptive Sampling". In: European Conference on Computer Vision (ECCV). 2024
- Gengyu Zhang, Hao Tang, and Yan Yan. “Versatile Navigation under Partial Observability via Value-Guided Diffusion Policy”. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2024.
- Yuzhang Shang, Gaowen Liu, Ramana Rao Kompella, and Yan Yan. “Enhancing Post-training Quantization Calibration through Contrastive Learning”. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2024.
- Junyi Wu, Weitai Kang, Hao Tang, Yuan Hong, and Yan Yan. “On the Faithfulness of Vision Transformer Explanations”. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2024.
- Junyi Wu, Bin Duan, Weitai Kang, Hao Tang, and Yan Yan. “Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer”. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2024.
- Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, and Yan Yan. “Efficient Multitask Dense Predictor via Binarization”. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2024.
- Yuzhang Shang, Zhihang Yuan, and Yan Yan. “MIM4DD: Mutual Information Maximization for Dataset Distillation”. In: Conference on Neural Information Processing Systems (NeurIPS). 2023.
- Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, and Yan Yan. “Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models”. In: Conference on Neural Information Processing Systems (NeurIPS). 2023.