Deepak Mittal
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Jahr
Recovering from random pruning: On the plasticity of deep convolutional neural networks
D Mittal, S Bhardwaj, MM Khapra, B Ravindran
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 848-857, 2018
372018
Studying the plasticity in deep convolutional neural networks using random pruning
D Mittal, S Bhardwaj, MM Khapra, B Ravindran
Machine Vision and Applications 30 (2), 203-216, 2019
132019
Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data
D Mittal, A Reddy, G Ramadurai, K Mitra, B Ravindran
2018 10th International Conference on Communication Systems & Networks …, 2018
72018
The Effect of Pretraining on Extractive Summarization for Scientific Documents
Y Gupta, PS Ammanamanchi, S Bordia, A Manoharan, D Mittal, ...
Proceedings of the Second Workshop on Scholarly Document Processing, 73-82, 2021
12021
Vehicle Classification on Low-resolution and Occluded images: A low-cost labeled dataset for augmentation
D Mittal, MA Reddy, G Ramadurai, K Mitra, B Ravindran
12017
Computer Vision Systems and Methods for Unsupervised Learning for Progressively Aligning Noisy Contours
VS Veeravasarapu, A Goel, D Mittal, MK Singh
US Patent App. 17/104,698, 2021
2021
Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds}}
F Avila, AH Poorjam, D Mittal, C Dognin, A Muguli, R Kumar, ...
Proc. Interspeech 2021, 951-955, 2021
2021
Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning
A Jain, PR Samala, P Jyothi, D Mittal, M Singh
International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021
2021
ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours
VSR Veeravasarapu, A Goel, D Mittal, M Singh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2020
High-Frequency guided Curriculum Learning for Class-specific Object Boundary Detection
VSR Veeravasarapu, D Mittal, A Goel, M Singh
2019
Supplementary Material for ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours
VSR Veeravasarapu, A Goel, D Mittal, M Singh, AI Verisk, V Analytics
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