Fan, Quanfu

26 publications

WACV 2024 CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection Quanfu Fan, Yilai Li, Yuguang Yao, John Cohn, Sijia Liu, Ziping Xu, Seychelle Vos, Michael Cianfrocco

WACV 2024 Grafting Vision Transformers Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo

NeurIPSW 2023 Coupling Semi-Supervised Learning with Reinforcement Learning for Better Decision Making --- an Application to Cryo-EM Data Collection Ziping Xu, Quanfu Fan, Yilai Li, Emma Rose Lee, John Maxwell Cohn, Ambuj Tewari, Seychelle M Vos, Michael Cianfrocco

IJCAI 2023 Improve Video Representation with Temporal Adversarial Augmentation Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu

ICLR 2022 Can an Image Classifier Suffice for Action Recognition? Quanfu Fan, Chun-Fu Chen, Rameswar Panda

UAI 2022 Distributed Adversarial Training to Robustify Deep Neural Networks at Scale Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu

ICLR 2022 RegionViT: Regional-to-Local Attention for Vision Transformers Chun-Fu Chen, Rameswar Panda, Quanfu Fan

ICCV 2021 AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogerio Feris

ICCV 2021 CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification Chun-Fu Chen, Quanfu Fan, Rameswar Panda

CVPR 2021 Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition Chun-Fu Richard Chen, Rameswar Panda, Kandan Ramakrishnan, Rogerio Feris, John Cohn, Aude Oliva, Quanfu Fan

ICLR 2021 Generating Adversarial Computer Programs Using Optimized Obfuscations Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly

ECCV 2020 Adversarial T-Shirt! Evading Person Detectors in a Physical World Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin

CVPRW 2020 Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris

ICLR 2019 Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition Chun-Fu Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogerio Feris

NeurIPS 2019 More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation Quanfu Fan, Chun-Fu Chen, Hilde Kuehne, Marco Pistoia, David Cox

ICLR 2019 Structured Adversarial Attack: Towards General Implementation and Better Interpretability Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin

WACV 2018 Semantically Guided Visual Question Answering Handong Zhao, Quanfu Fan, Dan Gutfreund, Yun Fu

ECCV 2016 A Unified Multi-Scale Deep Convolutional Neural Network for Fast Object Detection Zhaowei Cai, Quanfu Fan, Rogério Schmidt Feris, Nuno Vasconcelos

WACV 2016 People Detection in Crowded Scenes by Context-Driven Label Propagation Jingjing Liu, Quanfu Fan, Sharath Pankanti, Dimitris N. Metaxas

CVPR 2014 Random Laplace Feature Maps for Semigroup Kernels on Histograms Jiyan Yang, Vikas Sindhwani, Quanfu Fan, Haim Avron, Michael W. Mahoney

CVPR 2014 Temporal Sequence Modeling for Video Event Detection Yu Cheng, Quanfu Fan, Sharath Pankanti, Alok Choudhary

ICCV 2013 Relative Attributes for Large-Scale Abandoned Object Detection Quanfu Fan, Prasad Gabbur, Sharath Pankanti

CVPR 2012 Hand Tracking by Binary Quadratic Programming and Its Application to Retail Activity Recognition Hoang Trinh, Quanfu Fan, Prasad Gabbur, Sharath Pankanti

WACV 2012 Multimodal Ranking for Non-Compliance Detection in Retail Surveillance Hoang Trinh, Sharath Pankanti, Quanfu Fan

CVPR 2009 Recognition of Repetitive Sequential Human Activity Quanfu Fan, Russell Bobbitt, Yun Zhai, Akira Yanagawa, Sharath Pankanti, Arun Hampapur

CVPR 2007 Reducing Correspondence Ambiguity in Loosely Labeled Training Data Kobus Barnard, Quanfu Fan