SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation

2025
Maying Shen*, Nadine Chang*, Sifei Liu, Jose M. Alvarez
International Conference on Knowledge Discovery and Data Mining (ACM KDD), Applied Data Science (ADS) Track, 2025
[paper]

MDP: Multidimensional Vision Model Pruning with Latency Constraint

2025
Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, Jose M. Alvarez
Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[paper]

PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models

2025
Jenny Schmalfuss, Nadine Chang, Vibashan VS, Maying Shen, Andres Bruhn, Jose M. Alvarez
Conference on Computer Vision and Pattern Recognition (CVPR), 2025

Advancing Weight and Channel Sparsification with Enhanced Saliency

2025
Xinglong Sun, Maying Shen, Hongxu Yin, Lei Mao, Pavlo Molchanov, Jose M. Alvarez
Winter Conference on Applications of Computer Vision (WACV), 2025
[paper]

Global Average Feature Augmentation for Robust Semantic Segmentation with Transformers

2025
Alberto Gonzalo Rodriguez Salgado, Maying Shen, Philipp Harzig, Peter Mayer, Jose M Alvarez
arXiv, 2025
[paper]

Exploring Camera Encoder Designs for Autonomous Driving Perception

2024
Barath Lakshmanan, Joshua Chen, Shiyi Lan, Maying Shen, Zhiding Yu, Jose M Alvarez
arXiv, 2024
[paper]

Step Out and Seek Around: On Warm-Start Training with Incremental Data

2024
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jose M. Alvarez
arXiv, 2024
[paper]

Adaptive Sharpness-aware Pruning for Robust Sparse Networks

2024
Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, Jose M. Alvarez
International Conference on Learning Representations (ICLR), 2024
[paper]

Hardware-aware Latency Pruning for Real-time 3d Object Detection

2023
Maying Shen, Lei Mao, Joshua Chen, Justin Hsu, Xinglong Sun, Oliver Knieps, Carmen Maxim, Jose M. Alvarez
IEEE Intelligent Vehicles Symposium (IV), 2023
[paper]

Global Vision Transformer Pruning with Hessian-aware Saliency

2023
Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[paper] [code]

Structural Pruning via Latency-Saliency Knapsack

2022
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez
Conference on Neural Information Processing Systems (NeurIPS), 2022
[paper] [project page] [code]

Soft Masking for Cost-Constrained Channel Pruning

2022
Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, Jose M. Alvarez
European Conference on Computer Vision (ECCV), 2022
[paper] [code]

When to Prune? A Policy towards Early Structural Pruning

2022
Maying Shen, Pavlo Molchanov, Hongxu Yin, Jose M. Alvarez
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[paper] [project page]

Augmenting Legacy Networks for Flexible Inference

2022
Jason Clemons, Iuri Frosio, Maying Shen, Jose M. Alvarez, Stephen Keckler
European Conference on Computer Vision Workshops (ECCV/CADL), 2022
[paper]

Optimal Quantization Using Scaled Codebook

2021
Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel A. Carreira-Perpinan, Jose M. Alvarez
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[paper]