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2020 – today
- 2024
[c54]Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo:
Grafting Vision Transformers. WACV 2024: 1134-1143- [c53]Quanfu Fan, Yilai Li, Yuguang Yao, John Cohn, Sijia Liu, Ziping Xu, Seychelle M. Vos, Michael A. Cianfrocco:
CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection. WACV 2024: 7877-7887 - 2023
- [c52]Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu:
Improve Video Representation with Temporal Adversarial Augmentation. IJCAI 2023: 708-716 - [i21]Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu:
Improve Video Representation with Temporal Adversarial Augmentation. CoRR abs/2304.14601 (2023) - 2022
- [j6]Mathew Monfort
, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9434-9445 (2022) - [c51]Tim Frommknecht, Pedro Alves Zipf, Quanfu Fan, Nina Shvetsova, Hilde Kuehne:
Augmentation Learning for Semi-Supervised Classification. GCPR 2022: 85-98 - [c50]Chun-Fu Chen, Rameswar Panda, Quanfu Fan:
RegionViT: Regional-to-Local Attention for Vision Transformers. ICLR 2022 - [c49]Quanfu Fan, Chun-Fu Chen, Rameswar Panda:
Can an Image Classifier Suffice For Action Recognition? ICLR 2022 - [c48]Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu:
Distributed adversarial training to robustify deep neural networks at scale. UAI 2022: 2353-2363 - [i20]Quanfu Fan, Yilai Li, Yuguang Yao, John Cohn, Sijia Liu, Seychelle M. Vos, Michael A. Cianfrocco:
CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection. CoRR abs/2204.07543 (2022) - [i19]Quanfu Fan, Donghyun Kim, Chun-Fu Chen, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal:
Temporal Relevance Analysis for Video Action Models. CoRR abs/2204.11929 (2022) - [i18]Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu:
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale. CoRR abs/2206.06257 (2022) - [i17]Tim Frommknecht, Pedro Alves Zipf, Quanfu Fan, Nina Shvetsova, Hilde Kuehne:
Augmentation Learning for Semi-Supervised Classification. CoRR abs/2208.01956 (2022) - [i16]Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo:
Grafting Vision Transformers. CoRR abs/2210.15943 (2022) - 2021
- [c47]Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan:
Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. CVPR 2021: 6165-6175 - [c46]Chun-Fu (Richard) Chen, Quanfu Fan, Rameswar Panda:
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. ICCV 2021: 347-356 - [c45]Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris:
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. ICCV 2021: 7556-7565 - [c44]Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly:
Generating Adversarial Computer Programs using Optimized Obfuscations. ICLR 2021 - [i15]Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly:
Generating Adversarial Computer Programs using Optimized Obfuscations. CoRR abs/2103.11882 (2021) - [i14]Chun-Fu Chen, Quanfu Fan, Rameswar Panda:
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. CoRR abs/2103.14899 (2021) - [i13]Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris:
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. CoRR abs/2105.05165 (2021) - [i12]Chun-Fu Chen, Rameswar Panda, Quanfu Fan:
RegionViT: Regional-to-Local Attention for Vision Transformers. CoRR abs/2106.02689 (2021) - [i11]Quanfu Fan, Chun-Fu Chen, Rameswar Panda:
An Image Classifier Can Suffice For Video Understanding. CoRR abs/2106.14104 (2021) - 2020
- [j5]Mathew Monfort, Carl Vondrick, Aude Oliva, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund:
Moments in Time Dataset: One Million Videos for Event Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 502-508 (2020) - [c43]Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris:
Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. CVPR Workshops 2020: 1009-1018 - [c42]Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin:
Adversarial T-Shirt! Evading Person Detectors in a Physical World. ECCV (5) 2020: 665-681 - [i10]Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan:
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. CoRR abs/2010.11757 (2020)
2010 – 2019
- 2019
- [c41]Tete Xiao, Quanfu Fan, Danny Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou:
Reasoning About Human-Object Interactions Through Dual Attention Networks. ICCV 2019: 3918-3927 - [c40]Chun-Fu (Richard) Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris:
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. ICLR (Poster) 2019 - [c39]Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin:
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. ICLR (Poster) 2019 - [c38]Quanfu Fan, Chun-Fu (Richard) Chen, Hilde Kuehne, Marco Pistoia, David D. Cox:
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. NeurIPS 2019: 2261-2270 - [i9]Kaidi Xu, Sijia Liu, Gaoyuan Zhang, Mengshu Sun, Pu Zhao, Quanfu Fan, Chuang Gan, Xue Lin:
Interpreting Adversarial Examples by Activation Promotion and Suppression. CoRR abs/1904.02057 (2019) - [i8]Tete Xiao, Quanfu Fan, Dan Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou:
Reasoning About Human-Object Interactions Through Dual Attention Networks. CoRR abs/1909.04743 (2019) - [i7]Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin:
Evading Real-Time Person Detectors by Adversarial T-shirt. CoRR abs/1910.11099 (2019) - [i6]Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. CoRR abs/1911.00232 (2019) - [i5]Quanfu Fan, Chun-Fu Chen, Hilde Kuehne, Marco Pistoia, David D. Cox:
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. CoRR abs/1912.00869 (2019) - 2018
- [c37]Chun-Fu Chen, Jinwook Oh, Quanfu Fan, Marco Pistoia:
SC-Conv: Sparse-Complementary Convolution for Efficient Model Utilization on CNNs. ISM 2018: 97-100 - [c36]Mandis Beigi, Lisa M. Brown, Quanfu Fan, John Henning, Chung-Ching Lin, Honghui Shi, Chiao-Fe Shu, Rogério Schmidt Feris:
Object-Centric Spatio-Temporal Activity Detection and Recognition. TRECVID 2018 - [c35]Handong Zhao, Quanfu Fan, Dan Gutfreund, Yun Fu:
Semantically Guided Visual Question Answering. WACV 2018: 1852-1860 - [i4]Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund, Carl Vondrick, Aude Oliva:
Moments in Time Dataset: one million videos for event understanding. CoRR abs/1801.03150 (2018) - [i3]Chun-Fu Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris:
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. CoRR abs/1807.03848 (2018) - [i2]Chun-Fu Chen, Quanfu Fan, Marco Pistoia, Gwo Giun Lee:
Efficient Fusion of Sparse and Complementary Convolutions for Object Recognition and Detection. CoRR abs/1808.02167 (2018) - 2017
- [c34]Quanfu Fan, Richard Chen:
Sparse Deep Feature Representation for Object Detection from Wearable Cameras. BMVC 2017 - 2016
- [c33]Zhaowei Cai, Quanfu Fan, Rogério Schmidt Feris, Nuno Vasconcelos:
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection. ECCV (4) 2016: 354-370 - [c32]Lisa M. Brown, Quanfu Fan:
Enhanced face detection using body part detections for wearable cameras. ICPR 2016: 715-720 - [c31]Quanfu Fan, Lisa M. Brown, John Smith:
A closer look at Faster R-CNN for vehicle detection. Intelligent Vehicles Symposium 2016: 124-129 - [c30]Jingjing Liu, Quanfu Fan, Sharath Pankanti, Dimitris N. Metaxas:
People detection in crowded scenes by context-driven label propagation. WACV 2016: 1-9 - [i1]Zhaowei Cai, Quanfu Fan, Rogério Schmidt Feris, Nuno Vasconcelos:
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection. CoRR abs/1607.07155 (2016) - 2015
- [c29]Lisa M. Brown, Quanfu Fan, Yun Zhai:
Self-calibration from vehicle information. AVSS 2015: 1-6 - 2014
- [c28]Quanfu Fan, Sharath Pankanti, Lisa M. Brown:
Long-term object tracking for parked vehicle detection. AVSS 2014: 223-229 - [c27]Jiyan Yang, Vikas Sindhwani, Quanfu Fan, Haim Avron, Michael W. Mahoney:
Random Laplace Feature Maps for Semigroup Kernels on Histograms. CVPR 2014: 971-978 - [c26]Yu Cheng, Quanfu Fan, Sharath Pankanti, Alok N. Choudhary:
Temporal Sequence Modeling for Video Event Detection. CVPR 2014: 2235-2242 - [c25]Yu Cheng, Lisa M. Brown, Quanfu Fan, Jingjing Liu, Rogério Schmidt Feris, Alok N. Choudhary, Sharath Pankanti:
IBM-Northwestern@TRECVID 2014: Surveillance Event Detection. TRECVID 2014 - 2013
- [c24]Jonathan Connell, Quanfu Fan, Prasad Gabbur, Norman Haas, Sharath Pankanti, Hoang Trinh:
Retail video analytics: an overview and survey. Video Surveillance and Transportation Imaging Applications 2013: 86630X - [c23]Quanfu Fan, Prasad Gabbur, Sharath Pankanti:
Relative Attributes for Large-Scale Abandoned Object Detection. ICCV 2013: 2736-2743 - [c22]Qiang Chen, Yang Cai, Lisa M. Brown, Ankur Datta, Quanfu Fan, Rogério Schmidt Feris, Shuicheng Yan, Alexander G. Hauptmann, Sharath Pankanti:
Spatio-temporal fisher vector coding for surveillance event detection. ACM Multimedia 2013: 589-592 - [c21]Lisa M. Brown, Liangliang Cao, Chih-Fu Chang, Yu Cheng, Alok N. Choudhary, Noel Codella, Courtenay V. Cotton, Dan Ellis, Quanfu Fan, Rogério Schmidt Feris, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Sharath Pankanti, John R. Smith, Felix X. Yu:
IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. TRECVID 2013 - 2012
- [c20]Quanfu Fan, Sharath Pankanti:
Robust Foreground and Abandonment Analysis for Large-Scale Abandoned Object Detection in Complex Surveillance Videos. AVSS 2012: 58-63 - [c19]Hoang Trinh, Quanfu Fan, Prasad Gabbur, Sharath Pankanti:
Hand tracking by binary quadratic programming and its application to retail activity recognition. CVPR 2012: 1902-1909 - [c18]Shoou-I Yu, Zhongwen Xu, Duo Ding, Waito Sze, Francisco Vicente, Zhenzhong Lan, Yang Cai, Shourabh Rawat, Peter F. Schulam, Nisarga Markandaiah, Sohail Bahmani, Antonio Juárez, Wei Tong, Yi Yang, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Richard M. Stern, Teruko Mitamura, Eric Nyberg, Lu Jiang, Qiang Chen, Lisa M. Brown, Ankur Datta, Quanfu Fan, Rogério Schmidt Feris, Shuicheng Yan, Alexander G. Hauptmann, Sharath Pankanti:
Informedia @TRECVID 2012. TRECVID 2012 - [c17]Hoang Trinh, Sharath Pankanti, Quanfu Fan:
Multimodal ranking for non-compliance detection in retail surveillance. WACV 2012: 241-246 - 2011
- [j4]Sharath Pankanti, Lisa M. Brown, Jonathan H. Connell, Ankur Datta, Quanfu Fan, Rogério Schmidt Feris, Norman Haas, Ying Li, Nalini K. Ratha, Hoang Trinh:
Practical computer vision: Example techniques and challenges. IBM J. Res. Dev. 55(5): 3 (2011) - [j3]Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat:
Robust Spatiotemporal Matching of Electronic Slides to Presentation Videos. IEEE Trans. Image Process. 20(8): 2315-2328 (2011) - [c16]Quanfu Fan, Sharath Pankanti:
Modeling of temporarily static objects for robust abandoned object detection in urban surveillance. AVSS 2011: 36-41 - [c15]Hoang Trinh, Quanfu Fan, Jiyan Pan, Prasad Gabbur, Sachiko Miyazawa, Sharath Pankanti:
Detecting human activities in retail surveillance using hierarchical finite state machine. ICASSP 2011: 1337-1340 - [c14]Jiyan Pan, Quanfu Fan, Sharath Pankanti:
Robust abandoned object detection using region-level analysis. ICIP 2011: 3597-3600 - [c13]Prasad Gabbur, Sharath Pankanti, Quanfu Fan, Hoang Trinh:
A pattern discovery approach to retail fraud detection. KDD 2011: 307-315 - [c12]Jiyan Pan, Quanfu Fan, Sharath Pankanti, Hoang Trinh, Prasad Gabbur, Sachiko Miyazawa:
Soft margin keyframe comparison: Enhancing precision of fraud detection in retail surveillance. WACV 2011: 549-556 - 2010
- [c11]Lei Ding, Quanfu Fan, Jen-Hao Hsiao, Sharath Pankanti:
Graph based event detection from realistic videos using weak feature correspondence. ICASSP 2010: 1262-1265 - [c10]Lei Ding, Quanfu Fan, Sharath Pankanti:
An integer programming approach to visual compliance. ICIP 2010: 1461-1464
2000 – 2009
- 2009
- [c9]Quanfu Fan, Russell Bobbitt, Yun Zhai, Akira Yanagawa, Sharath Pankanti, Arun Hampapur:
Recognition of repetitive sequential human activity. CVPR 2009: 943-950 - [c8]Quanfu Fan, Akira Yanagawa, Russell Bobbitt, Yun Zhai, Rick Kjeldsen, Sharath Pankanti, Arun Hampapur:
Detecting sweethearting in retail surveillance videos. ICASSP 2009: 1449-1452 - [c7]Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat:
Accurate alignment of presentation slides with educational video. ICME 2009: 1198-1201 - [c6]Quanfu Fan, Akira Yanagawa, Russell Bobbitt, Yun Zhai, Rick Kjeldsen, Sharath Pankanti, Arun Hampapur:
Fast detection of retail fraud using polar touch buttons. ICME 2009: 1266-1269 - [c5]Sharath Pankanti, Quanfu Fan, Yun Zhai, Russell Bobbitt, Akira Yanagawa, Sachiko Miyazawa, Frederik Kjeldsen, Arun Hampapur:
Multi-media compliance: A practical paradigm for managing business integrity. ICME 2009: 1562-1563 - [p1]Yun Zhai, Rogério Schmidt Feris, Lisa M. Brown, Russell Bobbitt, Arun Hampapur, Sharath Pankanti, Quanfu Fan, Akira Yanagawa, Ying-li Tian, Senem Velipasalar:
Composite Event Detection in Multi-Camera and Multi-Sensor Surveillance Networks. Multi-Camera Networks 2009: 457-480 - 2008
- [b1]Quanfu Fan:
Matching Slides to Presentation Videos. University of Arizona, Tucson, USA, 2008 - [j2]Kobus Barnard, Quanfu Fan, Ranjini Swaminathan, Anthony Hoogs, Roderic Collins, Pascale Rondot, John P. Kaufhold:
Evaluation of Localized Semantics: Data, Methodology, and Experiments. Int. J. Comput. Vis. 77(1-3): 199-217 (2008) - 2007
- [j1]Alon Efrat, Quanfu Fan, Suresh Venkatasubramanian:
Curve Matching, Time Warping, and Light Fields: New Algorithms for Computing Similarity between Curves. J. Math. Imaging Vis. 27(3): 203-216 (2007) - [c4]Kobus Barnard, Quanfu Fan:
Reducing correspondence ambiguity in loosely labeled training data. CVPR 2007 - [c3]Quanfu Fan, Arnon Amir, Kobus Barnard, Ranjini Swaminathan, Alon Efrat:
Temporal Modeling of Slide Change in Presentation Videos. ICASSP (1) 2007: 989-992 - 2006
- [c2]Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat, Ming Lin:
Matching slides to presentation videos using SIFT and scene background matching. Multimedia Information Retrieval 2006: 239-248 - 2005
- [c1]Quanfu Fan, Alon Efrat, Vladlen Koltun, Shankar Krishnan, Suresh Venkatasubramanian:
Hardware-Assisted Natural Neighbor Interpolation. ALENEX/ANALCO 2005: 111-120
Coauthor Index
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