Frederick Tung

Orcid: 0000-0003-2895-006X

According to our database1, Frederick Tung authored at least 45 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Were RNNs All We Needed?
CoRR, 2024

Attention as an RNN.
CoRR, 2024

Pretext Training Algorithms for Event Sequence Data.
CoRR, 2024

Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Memory Efficient Neural Processes via Constant Memory Attention Block.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Tree Cross Attention.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
AdaFlood: Adaptive Flood Regularization.
CoRR, 2023

Prompting-based Efficient Temporal Domain Generalization.
CoRR, 2023

Constant Memory Attention Block.
CoRR, 2023

Constant Memory Attentive Neural Processes.
CoRR, 2023

Meta Temporal Point Processes.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Heterogeneous Multi-Task Learning With Expert Diversity.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Gumbel-Softmax Selective Networks.
CoRR, 2022

RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression.
Proceedings of the International Conference on Machine Learning, 2022

2021
Learning Discriminative Prototypes With Dynamic Time Warping.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Deep Neural Network Compression by In-Parallel Pruning-Quantization.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Interpretable Spatio-Temporal Attention for Video Action Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Lifelong GAN: Continual Learning for Conditional Image Generation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Similarity-Preserving Knowledge Distillation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos.
CoRR, 2018

Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Multi-level Residual Networks from Dynamical Systems View.
Proceedings of the 6th International Conference on Learning Representations, 2018

Constraint-Aware Deep Neural Network Compression.
Proceedings of the Computer Vision - ECCV 2018, 2018

CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
The Raincouver Scene Parsing Benchmark for Self-Driving in Adverse Weather and at Night.
IEEE Robotics Autom. Lett., 2017

Learning Person Trajectory Representations for Team Activity Analysis.
CoRR, 2017

Autonomous mobile robot navigation in uneven and unstructured indoor environments.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Backtracking regression forests for accurate camera relocalization.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

MF3D: Model-free 3D semantic scene parsing.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Scene parsing by nonparametric label transfer of content-adaptive windows.
Comput. Vis. Image Underst., 2016

Factorized Binary Codes for Large-Scale Nearest Neighbor Search.
Proceedings of the British Machine Vision Conference 2016, 2016

Exploiting Random RGB and Sparse Features for Camera Pose Estimation.
Proceedings of the British Machine Vision Conference 2016, 2016

SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Improving scene attribute recognition using web-scale object detectors.
Comput. Vis. Image Underst., 2015

Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-Scale Retrieval Applications.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

2014
CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
A Decoupled Approach to Illumination-Robust Optical Flow Estimation.
IEEE Trans. Image Process., 2013

Polynomial self-similarity for object classification.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

2011
Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance.
Image Vis. Comput., 2011

2010
Enabling scalable spectral clustering for image segmentation.
Pattern Recognit., 2010

2009
Efficient Target Recovery Using STAGE for Mean-shift Tracking.
Proceedings of the Sixth Canadian Conference on Computer and Robot Vision, 2009


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