Photo of Yan, Yan

Yan Yan

Associate Professor

Department of Computer Science

Contact

Building & Room:

Library LIB3-190G

Address:

801 S. Morgan, Chicago, IL 60607

Office Phone:

312-355-2375

Email:

yyan55@uic.edu

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.