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ORCIDFrederick Tung
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2020 – today
- 2024
[c27]Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed:
Tree Cross Attention. ICLR 2024- [c26]Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed:
Memory Efficient Neural Processes via Constant Memory Attention Block. ICML 2024 - [c25]Ankit Vani, Frederick Tung, Gabriel L. Oliveira, Hossein Sharifi-Noghabi:
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics. ICML 2024 - [i26]Yimu Wang, He Zhao, Ruizhi Deng, Frederick Tung, Greg Mori:
Pretext Training Algorithms for Event Sequence Data. CoRR abs/2402.10392 (2024) - [i25]Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Mohamed Osama Ahmed, Yoshua Bengio, Greg Mori:
Attention as an RNN. CoRR abs/2405.13956 (2024) - [i24]Ankit Vani, Frederick Tung, Gabriel L. Oliveira, Hossein Sharifi-Noghabi:
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics. CoRR abs/2406.06700 (2024) - [i23]Leo Feng, Frederick Tung, Mohamed Osama Ahmed, Yoshua Bengio, Hossein Hajimirsadeghi:
Were RNNs All We Needed? CoRR abs/2410.01201 (2024) - 2023
- [c24]Elahe Rahimian, Golara Javadi, Frederick Tung, Gabriel Leivas Oliveira:
DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning. CVPR Workshops 2023: 4535-4543 - [c23]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: 15783-15792 - [c22]Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira:
Meta Temporal Point Processes. ICLR 2023 - [i22]Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira:
Meta Temporal Point Processes. CoRR abs/2301.12023 (2023) - [i21]Kiarash Mohammadi, He Zhao, Mengyao Zhai, Frederick Tung:
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate. CoRR abs/2304.00049 (2023) - [i20]Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed:
Constant Memory Attentive Neural Processes. CoRR abs/2305.14567 (2023) - [i19]Elahe Rahimian, Golara Javadi, Frederick Tung, Gabriel L. Oliveira:
DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning. CoRR abs/2305.17305 (2023) - [i18]Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed:
Constant Memory Attention Block. CoRR abs/2306.12599 (2023) - [i17]Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed:
Tree Cross Attention. CoRR abs/2309.17388 (2023) - [i16]Sepidehsadat Hosseini, Mengyao Zhai, Hossein Hajimirsadeghi, Frederick Tung:
Prompting-based Efficient Temporal Domain Generalization. CoRR abs/2310.02473 (2023) - [i15]Wonho Bae, Yi Ren, Mohamed Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira:
AdaFlood: Adaptive Flood Regularization. CoRR abs/2311.02891 (2023) - 2022
- [j8]Raquel Aoki
, Frederick Tung, Gabriel L. Oliveira:
Heterogeneous Multi-Task Learning With Expert Diversity. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3093-3102 (2022) - [c21]Yu Gong, Greg Mori, Frederick Tung:
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression. ICML 2022: 7634-7649 - [i14]Yu Gong, Greg Mori, Frederick Tung:
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression. CoRR abs/2205.15236 (2022) - [i13]Mahmoud Salem, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira:
Gumbel-Softmax Selective Networks. CoRR abs/2211.10564 (2022) - 2021
- [c20]Xiaobin Chang, Frederick Tung, Greg Mori:
Learning Discriminative Prototypes With Dynamic Time Warping. CVPR 2021: 8395-8404 - [i12]Xiaobin Chang, Frederick Tung, Greg Mori:
Learning Discriminative Prototypes with Dynamic Time Warping. CoRR abs/2103.09458 (2021) - [i11]Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori:
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation. CoRR abs/2104.11939 (2021) - [i10]Raquel Aoki, Frederick Tung, Gabriel L. Oliveira:
Heterogeneous Multi-task Learning with Expert Diversity. CoRR abs/2106.10595 (2021) - 2020
- [j7]Frederick Tung, Greg Mori:
Deep Neural Network Compression by In-Parallel Pruning-Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 568-579 (2020) - [c19]Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori:
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation. ECCV (21) 2020: 397-413
2010 – 2019
- 2019
- [c18]Frederick Tung, Greg Mori:
Similarity-Preserving Knowledge Distillation. ICCV 2019: 1365-1374 - [c17]Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori:
Lifelong GAN: Continual Learning for Conditional Image Generation. ICCV 2019: 2759-2768 - [c16]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: 1513-1522 - [i9]Frederick Tung, Greg Mori:
Similarity-Preserving Knowledge Distillation. CoRR abs/1907.09682 (2019) - [i8]Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori:
Lifelong GAN: Continual Learning for Conditional Image Generation. CoRR abs/1907.10107 (2019) - 2018
- [c15]Frederick Tung, Greg Mori:
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization. CVPR 2018: 7873-7882 - [c14]Changan Chen, Frederick Tung, Naveen Vedula, Greg Mori:
Constraint-Aware Deep Neural Network Compression. ECCV (8) 2018: 409-424 - [c13]Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert:
Multi-level Residual Networks from Dynamical Systems View. ICLR (Poster) 2018 - [c12]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: 6827-6834 - [i7]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 abs/1810.04511 (2018) - 2017
- [j6]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): 2188-2193 (2017) - [c11]Frederick Tung, Srikanth Muralidharan, Greg Mori:
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization. BMVC 2017 - [c10]Frederick Tung, James J. Little:
MF3D: Model-free 3D semantic scene parsing. ICRA 2017: 4596-4603 - [c9]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: 109-116 - [c8]Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva:
Backtracking regression forests for accurate camera relocalization. IROS 2017: 6886-6893 - [i6]Nazanin Mehrasa, Yatao Zhong, Frederick Tung, Luke Bornn, Greg Mori:
Learning Person Trajectory Representations for Team Activity Analysis. CoRR abs/1706.00893 (2017) - [i5]Frederick Tung, Srikanth Muralidharan, Greg Mori:
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization. CoRR abs/1707.09102 (2017) - [i4]Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva:
Backtracking Regression Forests for Accurate Camera Relocalization. CoRR abs/1710.07965 (2017) - [i3]Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert:
Multi-level Residual Networks from Dynamical Systems View. CoRR abs/1710.10348 (2017) - [i2]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 abs/1710.10519 (2017) - [i1]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 abs/1710.10523 (2017) - 2016
- [j5]Frederick Tung, James J. Little:
Scene parsing by nonparametric label transfer of content-adaptive windows. Comput. Vis. Image Underst. 143: 191-200 (2016) - [c7]Frederick Tung, James J. Little:
SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions. ACCV (1) 2016: 338-352 - [c6]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 - [c5]Frederick Tung, James J. Little:
Factorized Binary Codes for Large-Scale Nearest Neighbor Search. BMVC 2016 - 2015
- [j4]Frederick Tung, James J. Little:
Improving scene attribute recognition using web-scale object detectors. Comput. Vis. Image Underst. 138: 86-91 (2015) - [c4]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: 566-571 - 2014
- [c3]Frederick Tung, James J. Little:
CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows. ECCV (6) 2014: 511-525 - 2013
- [j3]Abhishek Kumar, Frederick Tung, Alexander Wong, David A. Clausi:
A Decoupled Approach to Illumination-Robust Optical Flow Estimation. IEEE Trans. Image Process. 22(10): 4136-4147 (2013) - [c2]Frederick Tung, Alexander Wong:
Polynomial self-similarity for object classification. ICME Workshops 2013: 1-4 - 2011
- [j2]Frederick Tung, John S. Zelek, David A. Clausi:
Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance. Image Vis. Comput. 29(4): 230-240 (2011) - 2010
- [j1]Frederick Tung, Alexander Wong, David A. Clausi:
Enabling scalable spectral clustering for image segmentation. Pattern Recognit. 43(12): 4069-4076 (2010)
2000 – 2009
- 2009
- [c1]Frederick Tung, John S. Zelek, David A. Clausi:
Efficient Target Recovery Using STAGE for Mean-shift Tracking. CRV 2009: 16-22
Coauthor Index
aka: Gabriel Leivas Oliveira
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last updated on 2024-12-08 02:24 CET by the dblp team
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