Efficient Target Recovery Using STAGE for Mean-shift Tracking. - Frederick Tung; John S. Zelek; David A. Clausi (CRV, 2009)

Enabling scalable spectral clustering for image segmentation. - Frederick Tung; Alexander Wong; David A. Clausi (Pattern Recognit., 2010)

Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance. - Frederick Tung; John S. Zelek; David A. Clausi (Image Vis. Comput., 2011)

Polynomial self-similarity for object classification. - Frederick Tung; Alexander Wong (ICME Workshops, 2013)

A Decoupled Approach to Illumination-Robust Optical Flow Estimation. - Abhishek Kumar; Frederick Tung; Alexander Wong; David A. Clausi (IEEE Trans. Image Process., 2013)

CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows. - Frederick Tung; James J. Little (ECCV (6), 2014)

Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-Scale Retrieval Applications. - Frederick Tung; Julieta Martinez 001; Holger H. Hoos; James J. Little (WACV, 2015)

Improving scene attribute recognition using web-scale object detectors. - Frederick Tung; James J. Little (Comput. Vis. Image Underst., 2015)

SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions. - Frederick Tung; James J. Little (ACCV (1), 2016)

Exploiting Random RGB and Sparse Features for Camera Pose Estimation. - Lili Meng; Jianhui Chen; Frederick Tung; James J. Little; Clarence W. de Silva (BMVC, 2016)

Factorized Binary Codes for Large-Scale Nearest Neighbor Search. - Frederick Tung; James J. Little (BMVC, 2016)

Scene parsing by nonparametric label transfer of content-adaptive windows. - Frederick Tung; James J. Little (Comput. Vis. Image Underst., 2016)

Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization. - Frederick Tung; Srikanth Muralidharan; Greg Mori (BMVC, 2017)

MF3D: Model-free 3D semantic scene parsing. - Frederick Tung; James J. Little (ICRA, 2017)

Backtracking regression forests for accurate camera relocalization. - Lili Meng; Jianhui Chen; Frederick Tung; James J. Little; Julien Valentin; Clarence W. de Silva (IROS, 2017)

Autonomous mobile robot navigation in uneven and unstructured indoor environments. - Chaoqun Wang 009; Lili Meng; Sizhen She; Ian M. Mitchell; Teng Li 005; Frederick Tung; Weiwei Wan; Max Q.-H. Meng; Clarence W. de Silva (IROS, 2017)

Learning Person Trajectory Representations for Team Activity Analysis. - Nazanin Mehrasa; Yatao Zhong; Frederick Tung; Luke Bornn; Greg Mori (CoRR, 2017)

The Raincouver Scene Parsing Benchmark for Self-Driving in Adverse Weather and at Night. - Frederick Tung; Jianhui Chen; Lili Meng; James J. Little (IEEE Robotics Autom. Lett., 2017)

CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization. - Frederick Tung; Greg Mori (CVPR, 2018)

Constraint-Aware Deep Neural Network Compression. - Changan Chen; Frederick Tung; Naveen Vedula; Greg Mori (ECCV (8), 2018)

Multi-level Residual Networks from Dynamical Systems View. - Bo Chang 002; Lili Meng; Eldad Haber; Frederick Tung; David Begert (ICLR (Poster), 2018)

Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization. - Lili Meng; Frederick Tung; James J. Little; Julien Valentin; Clarence W. de Silva (IROS, 2018)

Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos. - Lili Meng; Bo Zhao 032; Bo Chang 002; Gao Huang 001; Frederick Tung; Leonid Sigal (CoRR, 2018)

Similarity-Preserving Knowledge Distillation. - Frederick Tung; Greg Mori (ICCV, 2019)

Lifelong GAN: Continual Learning for Conditional Image Generation. - Mengyao Zhai; Lei Chen 023; Frederick Tung; Jiawei He 001; Megha Nawhal; Greg Mori (ICCV, 2019)

Interpretable Spatio-Temporal Attention for Video Action Recognition. - Lili Meng; Bo Zhao 032; Bo Chang 002; Gao Huang 001; Wei Sun; Frederick Tung; Leonid Sigal (ICCV Workshops, 2019)

Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation. - Mengyao Zhai; Lei Chen 023; Jiawei He 001; Megha Nawhal; Frederick Tung; Greg Mori (ECCV (21), 2020)

Deep Neural Network Compression by In-Parallel Pruning-Quantization. - Frederick Tung; Greg Mori (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Learning Discriminative Prototypes With Dynamic Time Warping. - Xiaobin Chang; Frederick Tung; Greg Mori (CVPR, 2021)

RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression. - Yu Gong; Greg Mori; Frederick Tung (ICML, 2022)

Gumbel-Softmax Selective Networks. - Mahmoud Salem; Mohamed Osama Ahmed; Frederick Tung; Gabriel L. Oliveira (CoRR, 2022)

Heterogeneous Multi-Task Learning With Expert Diversity. - Raquel Aoki; Frederick Tung; Gabriel L. Oliveira (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate. - Kiarash Mohammadi; He Zhao; Mengyao Zhai; Frederick Tung (CVPR, 2023)

DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning. - Elahe Rahimian; Golara Javadi; Frederick Tung; Gabriel Leivas Oliveira (CVPR Workshops, 2023)

Meta Temporal Point Processes. - Wonho Bae; Mohamed Osama Ahmed; Frederick Tung; Gabriel L. Oliveira (ICLR, 2023)

Constant Memory Attentive Neural Processes. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (CoRR, 2023)

Constant Memory Attention Block. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (CoRR, 2023)

Prompting-based Efficient Temporal Domain Generalization. - Sepidehsadat Hosseini; Mengyao Zhai; Hossein Hajimirsadeghi; Frederick Tung (CoRR, 2023)

Tree Cross Attention. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (ICLR, 2024)

Memory Efficient Neural Processes via Constant Memory Attention Block. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (ICML, 2024)

Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics. - Ankit Vani; Frederick Tung; Gabriel L. Oliveira; Hossein Sharifi-Noghabi (ICML, 2024)

Pretext Training Algorithms for Event Sequence Data. - Yimu Wang; He Zhao; Ruizhi Deng; Frederick Tung; Greg Mori (CoRR, 2024)

Attention as an RNN. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Mohamed Osama Ahmed; Yoshua Bengio; Greg Mori (CoRR, 2024)

Were RNNs All We Needed? - Leo Feng; Frederick Tung; Mohamed Osama Ahmed; Yoshua Bengio; Hossein Hajimirsadeghi (CoRR, 2024)

AdaFlood: Adaptive Flood Regularization. - Wonho Bae; Yi Ren; Mohamed Osama Ahmed; Frederick Tung; Danica J. Sutherland; Gabriel L. Oliveira (Trans. Mach. Learn. Res., 2024)

Radar: Fast Long-Context Decoding for Any Transformer. - Yongchang Hao; Mengyao Zhai; Hossein Hajimirsadeghi; Sepidehsadat Hosseini; Frederick Tung (ICLR, 2025)

ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes. - Amartya Mukherjee; Ruizhi Deng; He Zhao; Yuzhen Mao; Leonid Sigal; Frederick Tung (CoRR, 2025)