Frederick Tung

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 52

Top Topics

Convolutional Network

True Positive Rate

Regression Forests

Top Venues

Publications

Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
Tree Cross Attention. ICLR (2024)
Yimu Wang, He Zhao, Ruizhi Deng, Frederick Tung, Greg Mori
Pretext Training Algorithms for Event Sequence Data. CoRR (2024)
Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Mohamed Osama Ahmed, Yoshua Bengio, Greg Mori
Attention as an RNN. CoRR (2024)
Ankit Vani, Frederick Tung, Gabriel L. Oliveira, Hossein Sharifi-Noghabi
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics. CoRR (2024)
Sepidehsadat Hosseini, Mengyao Zhai, Hossein Hajimirsadeghi, Frederick Tung
Prompting-based Efficient Temporal Domain Generalization. CoRR (2023)
Kiarash Mohammadi, He Zhao, Mengyao Zhai, Frederick Tung
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate. CVPR (2023)
Mohammadi Kiarash, Zhao He, Mengyao Zhai, Frederick Tung
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate. CoRR (2023)
Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
Constant Memory Attention Block. CoRR (2023)
Wonho Bae, Yi Ren, Mohamed Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira
AdaFlood: Adaptive Flood Regularization. CoRR (2023)
Elahe Rahimian, Golara Javadi, Frederick Tung, Gabriel Leivas Oliveira
DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning. CVPR Workshops (2023)
Elahe Rahimian, Golara Javadi, Frederick Tung, Gabriel L. Oliveira
DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning. CoRR (2023)
Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira
Meta Temporal Point Processes. CoRR (2023)
Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
Constant Memory Attentive Neural Processes. CoRR (2023)
Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira
Meta Temporal Point Processes. ICLR (2023)
Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
Tree Cross Attention. CoRR (2023)
Yu Gong, Greg Mori, Frederick Tung
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression. CoRR (2022)
Yu Gong, Greg Mori, Frederick Tung
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression. ICML (2022)
Mahmoud Salem, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira
Gumbel-Softmax Selective Networks. CoRR (2022)
Raquel Aoki, Frederick Tung, Gabriel L. Oliveira
Heterogeneous Multi-Task Learning With Expert Diversity. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Raquel Aoki, Frederick Tung, Gabriel L. Oliveira
Heterogeneous Multi-task Learning with Expert Diversity. CoRR (2021)
Xiaobin Chang, Frederick Tung, Greg Mori
Learning Discriminative Prototypes with Dynamic Time Warping. CoRR (2021)
Xiaobin Chang, Frederick Tung, Greg Mori
Learning Discriminative Prototypes With Dynamic Time Warping. CVPR (2021)
Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation. CoRR (2021)
Frederick Tung, Greg Mori
Deep Neural Network Compression by In-Parallel Pruning-Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 42 (3) (2020)
Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation. ECCV (21) (2020)
Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori
Lifelong GAN: Continual Learning for Conditional Image Generation. CoRR (2019)
Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori
Lifelong GAN: Continual Learning for Conditional Image Generation. ICCV (2019)
Frederick Tung, Greg Mori
Similarity-Preserving Knowledge Distillation. ICCV (2019)
Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Wei Sun, Frederick Tung, Leonid Sigal
Interpretable Spatio-Temporal Attention for Video Action Recognition. ICCV Workshops (2019)
Frederick Tung, Greg Mori
Similarity-Preserving Knowledge Distillation. CoRR (2019)
Changan Chen, Frederick Tung, Naveen Vedula, Greg Mori
Constraint-Aware Deep Neural Network Compression. ECCV (8) (2018)
Lili Meng, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization. IROS (2018)
Frederick Tung, Greg Mori
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization. CVPR (2018)
Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert
Multi-level Residual Networks from Dynamical Systems View. ICLR (Poster) (2018)
Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Frederick Tung, Leonid Sigal
Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos. CoRR (2018)
Frederick Tung, James J. Little
MF3D: Model-free 3D semantic scene parsing. ICRA (2017)
Chaoqun Wang, Lili Meng, Sizhen She, Ian M. Mitchell, Teng Li, Frederick Tung, Weiwei Wan, Max Q.-H. Meng, Clarence W. de Silva
Autonomous mobile robot navigation in uneven and unstructured indoor environments. IROS (2017)
Frederick Tung, Srikanth Muralidharan, Greg Mori
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization. CoRR (2017)
Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva
Backtracking Regression Forests for Accurate Camera Relocalization. CoRR (2017)
Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva
Backtracking regression forests for accurate camera relocalization. IROS (2017)
Frederick Tung, Srikanth Muralidharan, Greg Mori
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization. BMVC (2017)
Frederick Tung, Jianhui Chen, Lili Meng, James J. Little
The Raincouver Scene Parsing Benchmark for Self-Driving in Adverse Weather and at Night. IEEE Robotics Autom. Lett. 2 (4) (2017)
Nazanin Mehrasa, Yatao Zhong, Frederick Tung, Luke Bornn, Greg Mori
Learning Person Trajectory Representations for Team Activity Analysis. CoRR (2017)
Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert
Multi-level Residual Networks from Dynamical Systems View. CoRR (2017)
Lili Meng, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization. CoRR (2017)
Chaoqun Wang, Lili Meng, Sizhen She, Ian M. Mitchell, Teng Li, Frederick Tung, Weiwei Wan, Max Q.-H. Meng, Clarence W. de Silva
Autonomous Mobile Robot Navigation in Uneven and Unstructured Indoor Environments. CoRR (2017)
Frederick Tung, James J. Little
SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions. ACCV (1) (2016)
Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Clarence W. de Silva
Exploiting Random RGB and Sparse Features for Camera Pose Estimation. BMVC (2016)
Frederick Tung, James J. Little
Factorized Binary Codes for Large-Scale Nearest Neighbor Search. BMVC (2016)
Frederick Tung, James J. Little
Scene parsing by nonparametric label transfer of content-adaptive windows. Comput. Vis. Image Underst. 143 (2016)
Frederick Tung, James J. Little
Improving scene attribute recognition using web-scale object detectors. Comput. Vis. Image Underst. 138 (2015)
Frederick Tung, Julieta Martinez, Holger H. Hoos, James J. Little
Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-Scale Retrieval Applications. WACV (2015)
Frederick Tung, James J. Little
CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows. ECCV (6) (2014)
Abhishek Kumar, Frederick Tung, Alexander Wong, David A. Clausi
A Decoupled Approach to Illumination-Robust Optical Flow Estimation. IEEE Trans. Image Process. 22 (10) (2013)
Frederick Tung, Alexander Wong
Polynomial self-similarity for object classification. ICME Workshops (2013)
Frederick Tung, John S. Zelek, David A. Clausi
Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance. Image Vis. Comput. 29 (4) (2011)
Frederick Tung, Alexander Wong, David A. Clausi
Enabling scalable spectral clustering for image segmentation. Pattern Recognit. 43 (12) (2010)
Frederick Tung, John S. Zelek, David A. Clausi
Efficient Target Recovery Using STAGE for Mean-shift Tracking. CRV (2009)