Malware detection by eating a whole exe E Raff, J Barker, J Sylvester, R Brandon, B Catanzaro, CK Nicholas Workshops at the thirty-second AAAI conference on artificial intelligence, 2018 | 736 | 2018 |
Sdc-net: Video prediction using spatially-displaced convolution FA Reda, G Liu, KJ Shih, R Kirby, J Barker, D Tarjan, A Tao, B Catanzaro Proceedings of the European conference on computer vision (ECCV), 718-733, 2018 | 179 | 2018 |
Detectnet: Deep neural network for object detection in digits A Tao, J Barker, S Sarathy Parallel Forall 4, 424, 2016 | 112 | 2016 |
flownet2-pytorch: Pytorch implementation of flownet 2.0: Evolution of optical flow estimation with deep networks F Reda, R Pottorff, J Barker, B Catanzaro NVIDIA/flownet2-pytorch, 2017 | 45 | 2017 |
Video prediction using spatially displaced convolution G Liu, K Shih, R Kirby, J Barker, D Tarjan, A Tao, B Catanzaro US Patent App. 16/360,853, 2019 | 36 | 2019 |
Malware detection by eating a whole exe. arXiv 2017 E Raff, J Barker, J Sylvester, R Brandon, B Catanzaro, C Nicholas arXiv preprint arXiv:1710.09435, 0 | 14 | |
Detect Net: deep neural network for object detection in DIGITS. 2016 A Tao, J Barker, S Sarathy | 13 | 2020 |
Deep learning for object detection with DIGITS J Barker, S Prasanna NVIDIA Developer Technical Blog, 2016 | 9 | 2016 |
DetectNet: Deep Neural Network for Object Detection in DIGITS J Barker, S Sarathy, A Tao Nvidia,(retrieved: 2016-11-30), https://devblogs. nvidia. com/parallelforall …, 2016 | 9 | 2016 |
Nvvl: Nvidia video loader J Casper, J Barker, B Catanzaro | 7 | 2018 |
NVLM: Open Frontier-Class Multimodal LLMs W Dai, N Lee, B Wang, Z Yang, Z Liu, J Barker, T Rintamaki, M Shoeybi, ... arXiv preprint arXiv:2409.11402, 2024 | 6 | 2024 |
\psi^ 3 as an upper triangular matrix J Barker, V Snaith arXiv preprint math/0502472, 2005 | 5 | 2005 |
The use of SAR-ATI for maritime surveillance and difficult target detection BC Barber, JE Barker 2009 International Radar Conference" Surveillance for a Safer World"(RADAR …, 2009 | 4 | 2009 |
Information fusion based decision support via hidden markov models and time series anomaly detection J Barker, R Green, P Thomas, G Brown, D Salmond 2009 12th International Conference on Information Fusion, 764-771, 2009 | 3 | 2009 |
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement M Ehrlich, J Barker, N Padmanabhan, L Davis, A Tao, B Catanzaro, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
Upsampling an image using one or more neural networks S Liu, R Pottorff, G Liu, K Sapra, J Barker, D Tarjan, P Janis, E Fagerholm, ... US Patent App. 17/172,330, 2022 | 1 | 2022 |
Upsampling an image using one or more neural networks S Liu, R Pottorff, G Liu, K Sapra, J Barker, D Tarjan, P Janis, E Fagerholm, ... US Patent App. 17/406,902, 2022 | 1 | 2022 |
Processing three-channel SAR-ATI for GMTI JE Barker, BC Barber Sensor Signal Processing for Defence (SSPD 2010), 1-5, 2010 | 1 | 2010 |
PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation M Ranzinger, J Barker, G Heinrich, P Molchanov, B Catanzaro, A Tao arXiv preprint arXiv:2410.01680, 2024 | | 2024 |
Upsampling an image using one or more neural networks S Liu, RT Pottorff, G Liu, K Sapra, J Barker, D Tarjan, P Janis, ... US Patent App. 17/710,643, 2022 | | 2022 |