Elahe Arani

CoRR, 2024

Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2024

Continual Learning of Unsupervised Monocular Depth from Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning.

[BibT_eX]

[DOI]

Vijaya Raghavan T. Ramkumar

Trans. Mach. Learn. Res., 2023

Learn, Unlearn and Relearn: An Online Learning Paradigm for Deep Neural Networks.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Brain Inspired Design for Addressing the Shortcomings of ANNs.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Performance of Vision Transformers on Small Datasets through Local Inductive Bias Incorporation.

[BibT_eX]

[DOI]

Ibrahim Batuhan Akkaya

Senthilkumar Kathiresan

CoRR, 2023

Dynamically Modular and Sparse General Continual Learning.

[BibT_eX]

[DOI]

Arnav Varma

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion.

[BibT_eX]

[DOI]

Preetha Vijayan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Image Masking for Robust Self-Supervised Monocular Depth Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning.

[BibT_eX]

[DOI]

Kishaan Jeeveswaran

Proceedings of the International Conference on Machine Learning, 2023

Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal.

[BibT_eX]

[DOI]

NareshKumar Gurulingan

Proceedings of the International Conference on Machine Learning, 2023

Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Task-Aware Information Routing from Common Representation Space in Lifelong Learning.

[BibT_eX]

[DOI]

Deepan Chakravarthi Padmanabhan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SAFEXPLAIN: Safe and Explainable Critical Embedded Systems Based on AI.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

LSFSL: Leveraging Shape Information in Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Sparse Coding in a Dual Memory System for Lifelong Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey.

[BibT_eX]

[DOI]

Senthilkumar Kathiresan

Trans. Mach. Learn. Res., 2022

AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency & Quantifying Road Damage.

[BibT_eX]

[DOI]

CoRR, 2022

Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics.

[BibT_eX]

[DOI]

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

A Comprehensive Study of Vision Transformers on Dense Prediction Tasks.

[BibT_eX]

[DOI]

Kishaan Jeeveswaran

Senthilkumar Kathiresan

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Adversarial Attacks on Monocular Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Transformers in Unsupervised Structure-from-Motion.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2022

SYNERgy between SYNaptic Consolidation and Experience Replay for General Continual Learning.

[BibT_eX]

[DOI]

Vijaya Raghavan T. Ramkumar

Proceedings of the Conference on Lifelong Learning Agents, 2022

Differencing based Self-supervised pretraining for Scene Change Detection.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing.

[BibT_eX]

[DOI]

NareshKumar Gurulingan

Proceedings of the Conference on Lifelong Learning Agents, 2022

InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

Consistency is the Key to Further Mitigating Catastrophic Forgetting in Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Does Thermal data make the detection systems more reliable?

[BibT_eX]

[DOI]

CoRR, 2021

AI Driven Road Maintenance Inspection.

[BibT_eX]

[DOI]

CoRR, 2021

Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices.

[BibT_eX]

[DOI]

CoRR, 2021

Noisy Concurrent Training for Efficient Learning under Label Noise.

[BibT_eX]

[DOI]

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

Noise as a Resource for Learning in Knowledge Distillation.

[BibT_eX]

[DOI]

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

RGPNet: A Real-Time General Purpose Semantic Segmentation.

[BibT_eX]

[DOI]

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

Practical Auto-calibration for Spatial Scene-understanding from Crowdsourced Dashcamera Videos.

[BibT_eX]

[DOI]

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks.

[BibT_eX]

[DOI]

NareshKumar Gurulingan

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Improving the Efficiency of Transformers for Resource-Constrained Devices.

[BibT_eX]

[DOI]

Proceedings of the 24th Euromicro Conference on Digital System Design, 2021

Perceptual Loss for Robust Unsupervised Homography Estimation.

[BibT_eX]

[DOI]

Daniel Koguciuk

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

Distill on the Go: Online Knowledge Distillation in Self-Supervised Learning.

[BibT_eX]

[DOI]

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

Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNs.

[BibT_eX]

[DOI]

Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020

Monocular Vision based Crowdsourced 3D Traffic Sign Positioning with Unknown Camera Intrinsics and Distortion Coefficients.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Knowledge Distillation Beyond Model Compression.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Improving Generalization and Robustness with Noisy Collaboration in Knowledge Distillation.

[BibT_eX]

[DOI]