Follow
Colin Samplawski
Colin Samplawski
Verified email at cs.umass.edu
Title
Cited by
Cited by
Year
Clio: Enabling automatic compilation of deep learning pipelines across iot and cloud
J Huang, C Samplawski, D Ganesan, B Marlin, H Kwon
Proceedings of the 26th Annual International Conference on Mobile Computing …, 2020
672020
Towards an accurate latency model for convolutional neural network layers on gpus
J Li, R Ma, VS Mailthody, C Samplawski, B Marlin, S Chen, S Yao, ...
MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM), 904-909, 2021
112021
Towards objection detection under iot resource constraints: Combining partitioning, slicing and compression
C Samplawski, J Huang, D Ganesan, BM Marlin
Proceedings of the 2nd International Workshop on Challenges in Artificial …, 2020
102020
Zero-shot learning in the presence of hierarchically coarsened labels
C Samplawski, E Learned-Miller, H Kwon, BM Marlin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
62020
Towards transformer-based real-time object detection at the edge: A benchmarking study
C Samplawski, BM Marlin
MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM), 898-903, 2021
52021
Heteroskedastic geospatial tracking with distributed camera networks
C Samplawski, S Fang, Z Wang, D Ganesan, M Srivastava, BM Marlin
Uncertainty in Artificial Intelligence, 1805-1814, 2023
22023
Optimizing Intelligent Edge-clouds with Partitioning, Compression and Speculative Inference
S Fang, J Huang, C Samplawski, D Ganesan, B Marlin, T Abdelzaher, ...
MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM), 892-896, 2021
12021
Learning Graph-Based Priors for Generalized Zero-Shot Learning
C Samplawski, J Wolff, T Klein, M Nabi
arXiv preprint arXiv:2010.11369, 2020
12020
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification
C Samplawski, H Kwon, E Learned-Miller, BM Marlin
arXiv preprint arXiv:1902.05492, 2019
12019
Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation
H Wei, MA Xu, C Samplawski, JM Rehg, S Kumar, B Marlin
ICLR 2024 Workshop on Learning from Time Series For Health, 2024
2024
GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors
HL Jeong, Z Wang, C Samplawski, J Wu, S Fang, LM Kaplan, D Ganesan, ...
arXiv preprint arXiv:2402.14136, 2024
2024
GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors
H Lyun Jeong, Z Wang, C Samplawski, J Wu, S Fang, LM Kaplan, ...
arXiv e-prints, arXiv: 2402.14136, 2024
2024
IoBT-MAX: a Multimodal Analytics eXperimentation Testbed for IoBT Research
BM Marlin, N Suri, S Fang, MB Srivastiva, C Samplawski, Z Wang, ...
MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM), 127-132, 2023
2023
Missing Data Imputation for Large-Scale Longitudinal Physical Activity Data
H Wei, M Xu, C Samplawski, JM Rehg, S Kumar, B Marlin
2023
Uncertainty Quantification Using Query-Based Object Detectors
MP Vadera, C Samplawski, BM Marlin
European Conference on Computer Vision, 78-93, 2022
2022
Learning graph-based priors for generalized zero-shot learning
C Samplawski, J Wolff, T Klein, M Nabi
US Patent 11,288,542, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–16