Pravendra Singh

Comput. Biol. Medicine, March, 2024

Recent Advancements in End-to-End Autonomous Driving Using Deep Learning: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., January, 2024

Improving trajectory prediction in dynamic multi-agent environment by dropping waypoints.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking.

[BibT_eX]

[DOI]

CoRR, 2024

Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

MWIRSTD: A MWIR Small Target Detection Dataset.

[BibT_eX]

[DOI]

CoRR, 2024

CCF: Cross Correcting Framework for Pedestrian Trajectory Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for Equitable Skin Analysis.

[BibT_eX]

[DOI]

Anshul Pundhir

Balasubramanian Raman

CoRR, 2024

Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Suruchi Kumari

CoRR, 2024

Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs.

[BibT_eX]

[DOI]

CoRR, 2024

LG-Traj: LLM Guided Pedestrian Trajectory Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2024

STNet: Small Target Detection Network for IR Imagery.

[BibT_eX]

[DOI]

Nikhil Kumar

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MS-TIP: Imputation Aware Pedestrian Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Mitigate forgetting in few-shot class-incremental learning using different image views.

[BibT_eX]

[DOI]

Neural Networks, August, 2023

Leveraging joint incremental learning objective with data ensemble for class incremental learning.

[BibT_eX]

[DOI]

Neural Networks, April, 2023

Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Enhancing Trajectory Prediction through Self-Supervised Waypoint Noise Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Small and Dim Target Detection in IR Imagery: A Review.

[BibT_eX]

[DOI]

Nikhil Kumar

CoRR, 2023

Data efficient deep learning for medical image analysis: A survey.

[BibT_eX]

[DOI]

Suruchi Kumari

CoRR, 2023

A Host Kernel-Based Approach for Tracing and Analyzing vCPUs in Virtual Machines.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

Context extraction module for deep convolutional neural networks.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

On restoration of degraded fingerprints.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2022

Dual class representation learning for few-shot image classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Protected attribute guided representation learning for bias mitigation in limited data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Few-shot image classification with composite rotation based self-supervised auxiliary task.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Attaining Class-Level Forgetting in Pretrained Model Using Few Samples.

[BibT_eX]

[DOI]

Mohammed Asad Karim

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Optimizing nonlinear activation function for convolutional neural networks.

[BibT_eX]

[DOI]

Munender Varshney

Signal Image Video Process., 2021

Calibrating feature maps for deep CNNs.

[BibT_eX]

[DOI]

Neurocomputing, 2021

DILF-EN framework for Class-Incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2021

AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

RNNP: A Robust Few-Shot Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Improving Few-Shot Learning using Composite Rotation based Auxiliary Task.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Knowledge Consolidation based Class Incremental Online Learning with Limited Data.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Rectification-Based Knowledge Retention for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Few-Shot Lifelong Learning.

[BibT_eX]

[DOI]

Piyush Rai

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

EDS pooling layer.

[BibT_eX]

[DOI]

Prem Raj

Image Vis. Comput., 2020

FALF ConvNets: Fatuous auxiliary loss based filter-pruning for efficient deep CNNs.

[BibT_eX]

[DOI]

Vinay Sameer Raja Kadi

Image Vis. Comput., 2020

GIFSL - grafting based improved few-shot learning.

[BibT_eX]

[DOI]

Image Vis. Comput., 2020

HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

A "Network Pruning Network" Approach to Deep Model Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Leveraging Filter Correlations for Deep Model Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Cooperative Initialization based Deep Neural Network Training.

[BibT_eX]

[DOI]

Munender Varshney

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Accuracy Booster: Performance Boosting using Feature Map Re-calibration.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Calibrating CNNs for Lifelong Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SkipConv: Skip Convolution for Computationally Efficient Deep CNNs.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

CPWC: Contextual Point Wise Convolution for Object Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Minimizing Supervision in Multi-label Categorization.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Multi-Layer Pruning Framework for Compressing Single Shot MultiBox Detector.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Stability Based Filter Pruning for Accelerating Deep CNNs.

[BibT_eX]

[DOI]

Vinay Sameer Raja Kadi

Nikhil Verma

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Play and Prune: Adaptive Filter Pruning for Deep Model Compression.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2015

Implementing an intelligent version of the classical sliding-puzzle game for unix terminals using Golang's concurrency primitives.

[BibT_eX]

[DOI]