Non-Negative Matrix Factorization: A Comprehensive Review Non-Negative Matrix and Tensor Factorization and Its Applications Model Recommendation: Generating Object Detectors from Few Samples Learning by Transferring from Unsupervised Universal Sources Yuxiong Wang, Liangke Gui, Martial Hebertĭiscovering Unsupervised Binary Codes for Learning from Small Sample Sets
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNsįew-Shot Hash Learning for Image Retrieval Liang-Yan Gui, Liangke Gui, Yuxiong Wang, , 2017.įactorized Convolutional Networks: Unsupervised Fine-Tuning for Image Clustering Growing a Brain: Fine-Tuning by Increasing Model CapacityĬVPR, 2017. Rethinking Fine-Tuning via Developmental Learning Learning to Learn: Model Regression Networks for Easy Small Sample Learning Yuxiong Wang, Deva Ramanan, Martial HebertĪlso in, 2017. Knowledge Distillation and Learning to Learn in Model Space Pavel Tokmakov, Yuxiong Wang, Martial Hebert Learning Compositional Representations for Few-Shot Recognition MouraĮCCV, 2018 (* indicates equal contribution). Yuxiong Wang*, Liang-Yan Gui*, Xiaodan Liang, José M. MouraĪdversarial Geometry-Aware Human Motion Prediction Liang-Yan Gui, Yuxiong Wang, Deva Ramanan, José M. Velosoįew-Shot Human Motion Prediction via Meta-Learning Liang-Yan Gui, Kevin Zhang, Yuxiong Wang, Xiaodan Liang, José M. Under review, 2019 (* indicates equal contribution). Learning to Predict Diverse Futures from a Single Past Motion Sequence Selected Publications ( by date / by topic)ģD Human Motion Prediction and Its Application in Human-Robot Interaction Learning to Learn for Small Sample Visual Recognition Human motion prediction for human-robot interaction.Large-scale unsuperivsed, discriminative learning.Continual learning, transfer learning, domain adaptation.Generative modeling, predictive learning.Few/low-shot recognition and detection, long-tail recognition.
#Xiong liang li masters of anatomy free#
Please feel free to contact me if interested. Our group also has openings for interns during Summer 2021. I am looking for self-motivated students. My research lies in computer vision, machine learning, and robotics, with a specific focus on meta-learning, few-shot learning, predictive learning, and streaming perception. I recently received the Best Paper Honorable Mention Award for streaming perception in ECCV 2020. I have also been closely working with Prof. Martial Hebert in the Robotics Institute. I was a visitor in the Center for Data Science at New York University, working with Prof. Before joining Illinois CS, I was a postdoctoral fellow in the I am an Assistant Professor in the Department of Computer Science at University of Illinois at Urbana-Champaign (UIUC). Make things as simple as possible, but not simpler Department of Computer Science, University of Illinois at Urbana-Champaign
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