Frederick Tung

65 papers A* 12A 7Journal 37Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes. CoRR Amartya Mukherjee, Ruizhi Deng, He Zhao, Yuzhen Mao, Leonid Sigal, Frederick Tung
2025	A*	`conf`	Radar: Fast Long-Context Decoding for Any Transformer. ICLR Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi, Sepidehsadat Hosseini, Frederick Tung
2025	J	`jnl`	Radar: Fast Long-Context Decoding for Any Transformer. CoRR Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi, Sepidehsadat Hosseini, Frederick Tung
2024	J	`jnl`	AdaFlood: Adaptive Flood Regularization. Trans. Mach. Learn. Res. Wonho Bae, Yi Ren, Mohamed Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira
2024	J	`jnl`	Attention as an RNN. CoRR Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Mohamed Osama Ahmed, Yoshua Bengio, Greg Mori
2024	A*	`conf`	Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics. ICML Ankit Vani, Frederick Tung, Gabriel L. Oliveira, Hossein Sharifi-Noghabi
2024	J	`jnl`	Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics. CoRR Ankit Vani, Frederick Tung, Gabriel L. Oliveira, Hossein Sharifi-Noghabi
2024	A*	`conf`	Memory Efficient Neural Processes via Constant Memory Attention Block. ICML Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
2024	J	`jnl`	Pretext Training Algorithms for Event Sequence Data. CoRR Yimu Wang, He Zhao, Ruizhi Deng, Frederick Tung, Greg Mori
2024	A*	`conf`	Tree Cross Attention. ICLR Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
2024	J	`jnl`	Were RNNs All We Needed? CoRR Leo Feng, Frederick Tung, Mohamed Osama Ahmed, Yoshua Bengio, Hossein Hajimirsadeghi
2023	J	`jnl`	AdaFlood: Adaptive Flood Regularization. CoRR Wonho Bae, Yi Ren, Mohamed Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira
2023	J	`jnl`	Constant Memory Attention Block. CoRR Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
2023	J	`jnl`	Constant Memory Attentive Neural Processes. CoRR Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
2023	—	`conf`	DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning. CVPR Workshops Elahe Rahimian, Golara Javadi, Frederick Tung, Gabriel Leivas Oliveira
2023	J	`jnl`	DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning. CoRR Elahe Rahimian, Golara Javadi, Frederick Tung, Gabriel L. Oliveira
2023	A*	`conf`	Meta Temporal Point Processes. ICLR Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira
2023	J	`jnl`	Meta Temporal Point Processes. CoRR Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira
2023	J	`jnl`	Prompting-based Efficient Temporal Domain Generalization. CoRR Sepidehsadat Hosseini, Mengyao Zhai, Hossein Hajimirsadeghi, Frederick Tung
2023	A*	`conf`	Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate. CVPR Kiarash Mohammadi, He Zhao, Mengyao Zhai, Frederick Tung
2023	J	`jnl`	Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate. CoRR Kiarash Mohammadi, He Zhao, Mengyao Zhai, Frederick Tung
2023	J	`jnl`	Tree Cross Attention. CoRR Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
2022	J	`jnl`	Gumbel-Softmax Selective Networks. CoRR Mahmoud Salem, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira
2022	J	`jnl`	Heterogeneous Multi-Task Learning With Expert Diversity. IEEE ACM Trans. Comput. Biol. Bioinform. Raquel Aoki, Frederick Tung, Gabriel L. Oliveira
2022	A*	`conf`	RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression. ICML Yu Gong, Greg Mori, Frederick Tung
2022	J	`jnl`	RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression. CoRR Yu Gong, Greg Mori, Frederick Tung
2021	J	`jnl`	Heterogeneous Multi-task Learning with Expert Diversity. CoRR Raquel Aoki, Frederick Tung, Gabriel L. Oliveira
2021	A*	`conf`	Learning Discriminative Prototypes With Dynamic Time Warping. CVPR Xiaobin Chang, Frederick Tung, Greg Mori
2021	J	`jnl`	Learning Discriminative Prototypes with Dynamic Time Warping. CoRR Xiaobin Chang, Frederick Tung, Greg Mori
2021	J	`jnl`	Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation. CoRR Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori
2020	J	`jnl`	Deep Neural Network Compression by In-Parallel Pruning-Quantization. IEEE Trans. Pattern Anal. Mach. Intell. Frederick Tung, Greg Mori
2020	—	`conf`	Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation. ECCV (21) Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori
2019	—	`conf`	Interpretable Spatio-Temporal Attention for Video Action Recognition. ICCV Workshops Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Wei Sun, Frederick Tung, Leonid Sigal
2019	A*	`conf`	Lifelong GAN: Continual Learning for Conditional Image Generation. ICCV Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori
2019	J	`jnl`	Lifelong GAN: Continual Learning for Conditional Image Generation. CoRR Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori
2019	A*	`conf`	Similarity-Preserving Knowledge Distillation. ICCV Frederick Tung, Greg Mori
2019	J	`jnl`	Similarity-Preserving Knowledge Distillation. CoRR Frederick Tung, Greg Mori
2018	A*	`conf`	CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization. CVPR Frederick Tung, Greg Mori
2018	—	`conf`	Constraint-Aware Deep Neural Network Compression. ECCV (8) Changan Chen, Frederick Tung, Naveen Vedula, Greg Mori
2018	A	`conf`	Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization. IROS Lili Meng, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva
2018	—	`conf`	Multi-level Residual Networks from Dynamical Systems View. ICLR (Poster) Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert
2018	J	`jnl`	Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos. CoRR Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Frederick Tung, Leonid Sigal
2017	J	`jnl`	Autonomous Mobile Robot Navigation in Uneven and Unstructured Indoor Environments. CoRR Chaoqun Wang, Lili Meng, Sizhen She, Ian M. Mitchell, Teng Li, Frederick Tung, Weiwei Wan, Max Q.-H. Meng, Clarence W. de Silva
2017	A	`conf`	Autonomous mobile robot navigation in uneven and unstructured indoor environments. IROS Chaoqun Wang, Lili Meng, Sizhen She, Ian M. Mitchell, Teng Li, Frederick Tung, Weiwei Wan, Max Q.-H. Meng, Clarence W. de Silva
2017	J	`jnl`	Backtracking Regression Forests for Accurate Camera Relocalization. CoRR Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva
2017	A	`conf`	Backtracking regression forests for accurate camera relocalization. IROS Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva
2017	J	`jnl`	Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization. CoRR Lili Meng, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva
2017	A	`conf`	Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization. BMVC Frederick Tung, Srikanth Muralidharan, Greg Mori
2017	J	`jnl`	Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization. CoRR Frederick Tung, Srikanth Muralidharan, Greg Mori
2017	J	`jnl`	Learning Person Trajectory Representations for Team Activity Analysis. CoRR Nazanin Mehrasa, Yatao Zhong, Frederick Tung, Luke Bornn, Greg Mori
2017	A*	`conf`	MF3D: Model-free 3D semantic scene parsing. ICRA Frederick Tung, James J. Little
2017	J	`jnl`	Multi-level Residual Networks from Dynamical Systems View. CoRR Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert
2017	J	`jnl`	The Raincouver Scene Parsing Benchmark for Self-Driving in Adverse Weather and at Night. IEEE Robotics Autom. Lett. Frederick Tung, Jianhui Chen, Lili Meng, James J. Little
2016	A	`conf`	Exploiting Random RGB and Sparse Features for Camera Pose Estimation. BMVC Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Clarence W. de Silva
2016	A	`conf`	Factorized Binary Codes for Large-Scale Nearest Neighbor Search. BMVC Frederick Tung, James J. Little
2016	—	`conf`	SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions. ACCV (1) Frederick Tung, James J. Little
2016	J	`jnl`	Scene parsing by nonparametric label transfer of content-adaptive windows. Comput. Vis. Image Underst. Frederick Tung, James J. Little
2015	A	`conf`	Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-Scale Retrieval Applications. WACV Frederick Tung, Julieta Martinez, Holger H. Hoos, James J. Little
2015	J	`jnl`	Improving scene attribute recognition using web-scale object detectors. Comput. Vis. Image Underst. Frederick Tung, James J. Little
2014	—	`conf`	CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows. ECCV (6) Frederick Tung, James J. Little
2013	J	`jnl`	A Decoupled Approach to Illumination-Robust Optical Flow Estimation. IEEE Trans. Image Process. Abhishek Kumar, Frederick Tung, Alexander Wong, David A. Clausi
2013	—	`conf`	Polynomial self-similarity for object classification. ICME Workshops Frederick Tung, Alexander Wong
2011	J	`jnl`	Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance. Image Vis. Comput. Frederick Tung, John S. Zelek, David A. Clausi
2010	J	`jnl`	Enabling scalable spectral clustering for image segmentation. Pattern Recognit. Frederick Tung, Alexander Wong, David A. Clausi
2009	—	`conf`	Efficient Target Recovery Using STAGE for Mean-shift Tracking. CRV Frederick Tung, John S. Zelek, David A. Clausi