| Global vision transformer pruning with hessian-aware saliency H Yang, H Yin, M Shen, P Molchanov, H Li, J Kautz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 64* | 2023 |
| Structural pruning via latency-saliency knapsack M Shen, H Yin, P Molchanov, L Mao, J Liu, JM Alvarez NeurIPS 2022, 2022 | 44* | 2022 |
| When to prune? a policy towards early structural pruning M Shen, P Molchanov, H Yin, JM Alvarez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 34 | 2022 |
| Anomaly detection based on nearest neighbor search with locality-sensitive B-tree M Shen, X Jiang, T Sun Neurocomputing 289, 55-67, 2018 | 20 | 2018 |
| Soft masking for cost-constrained channel pruning R Humble, M Shen, JA Latorre, E Darve, J Alvarez European Conference on Computer Vision, 641-657, 2022 | 14 | 2022 |
| Optimal quantization using scaled codebook Y Idelbayev, P Molchanov, M Shen, H Yin, MA Carreira-Perpinán, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 6 | 2021 |
| Crowd counting estimation in video surveillance based on linear regression function M Shen, T Sun, X Jiang, K Xu 2016 9th International Congress on Image and Signal Processing, BioMedical …, 2016 | 4 | 2016 |
| Pruning neural networks M Shen, P Molchanov, H Yin, JMA Lopez US Patent App. 17/201,768, 2022 | 2 | 2022 |
| Calculating data compression parameters Y Idelbayev, P Molchanov, HD Yin, M Shen, JMA Lopez US Patent App. 16/952,893, 2022 | 2 | 2022 |
| Anomaly Detection by Analyzing the Pedestrian Behavior and the Dynamic Changes of Behavior M Shen, X Jiang, T Sun Intelligent Computing Theories and Application: 13th International …, 2017 | 2 | 2017 |
| Adaptive Sharpness-Aware Pruning for Robust Sparse Networks A Bair, H Yin, M Shen, P Molchanov, J Alvarez arXiv preprint arXiv:2306.14306, 2023 | 1 | 2023 |
| Hardware-Aware Latency Pruning for Real-Time 3D Object Detection M Shen, L Mao, J Chen, J Hsu, X Sun, O Knieps, C Maxim, JM Alvarez 2023 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2023 | 1 | 2023 |
| DYNAMIC NEURAL NETWORK MODEL SPARSIFICATION JM Alvarez Lopez, P Molchanov, H Yin, M Shen, L Mao, X Sun US Patent App. 18/203,552, 2024 | | 2024 |
| Augmenting legacy neural networks for flexible inference JL Clemons, SW Keckler, I Frosio, JMA Lopez, M Shen US Patent App. 17/820,780, 2023 | | 2023 |
| Augmenting Legacy Networks for Flexible Inference J Clemons, I Frosio, M Shen, JM Alvarez, SW Keckler 2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023 | | 2023 |
| Performance-aware size reduction for neural networks M Shen, P Molchanov, H Yin, L Mao, J Liu, JMA Lopez US Patent App. 17/398,673, 2023 | | 2023 |
| Towards Dynamic Sparsification by Iterative Prune-Grow LookAheads X Sun, M Shen, H Yin, L Mao, P Molchanov, JM Alvarez | | 2022 |
| Supplemental: Soft Masking for Cost-Constrained Channel Pruning R Humble, M Shen, JA Latorre, E Darve, J Alvarez | | |
