Anomaly detection based on nearest neighbor search with locality-sensitive B-tree M Shen, X Jiang, T Sun Neurocomputing 289, 55-67, 2018 | 17 | 2018 |
Structural pruning via latency-saliency knapsack M Shen, H Yin, P Molchanov, L Mao, J Liu, JM Alvarez NeurIPS 2022, 2022 | 13* | 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 | 11 | 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 | 5 | 2021 |
Soft Masking for Cost-Constrained Channel Pruning R Humble, M Shen, JA Latorre, E Darve, J Alvarez Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 3 | 2022 |
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 | 3 | 2016 |
Calculating data compression parameters Y Idelbayev, P Molchanov, HD Yin, M Shen, JMA Lopez US Patent App. 16/952,893, 2022 | 2 | 2022 |
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 | 1 | 2023 |
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 | 1 | 2017 |
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 |
Augmenting Legacy Networks for Flexible Inference J Clemons, I Frosio, M Shen, JM Alvarez, S Keckler Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022 …, 2023 | | 2023 |
Pruning neural networks M Shen, P Molchanov, H Yin, JMA Lopez US Patent App. 17/201,768, 2022 | | 2022 |
Towards Dynamic Sparsification by Iterative Prune-Grow LookAheads X Sun, M Shen, H Yin, L Mao, P Molchanov, JM Alvarez | | |
Supplemental: Soft Masking for Cost-Constrained Channel Pruning R Humble, M Shen, JA Latorre, E Darve, J Alvarez | | |