Pavlo Molchanov

Affiliations:

Nvidia Corporation, Santa Clara, CA, USA

According to our database¹, Pavlo Molchanov authored at least 65 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

LITA: Language Instructed Temporal-Localization Assistant.

[BibT_eX]

[DOI]

De-An Huang

Shijia Liao

Subhashree Radhakrishnan

CoRR, 2024

DoRA: Weight-Decomposed Low-Rank Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Antenna Array for All Space Communications.

[BibT_eX]

[DOI]

Pavlo Molchanov

Proceedings of the IEEE Radio and Wireless Symposium, 2024

2023

Do Gradient Inversion Attacks Make Federated Learning Unsafe?

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2023

VILA: On Pre-training for Visual Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

AM-RADIO: Agglomerative Model - Reduce All Domains Into One.

[BibT_eX]

[DOI]

CoRR, 2023

PACE: Human and Camera Motion Estimation from in-the-wild Videos.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Sharpness-Aware Pruning for Robust Sparse Networks.

[BibT_eX]

[DOI]

CoRR, 2023

FasterViT: Fast Vision Transformers with Hierarchical Attention.

[BibT_eX]

[DOI]

CoRR, 2023

Global Context Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

RANA: Relightable Articulated Neural Avatars.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Global Vision Transformer Pruning with Hessian-Aware Saliency.

[BibT_eX]

[DOI]

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

Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models.

[BibT_eX]

[DOI]

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

Heterogeneous Continual Learning.

[BibT_eX]

[DOI]

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

2022

Towards annotation-efficient segmentation via image-to-image translation.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Global Context Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

DRaCoN - Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars.

[BibT_eX]

[DOI]

CoRR, 2022

Structural Pruning via Latency-Saliency Knapsack.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LANA: Latency Aware Network Acceleration.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

A-ViT: Adaptive Tokens for Efficient Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

When to Prune? A Policy towards Early Structural Pruning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GradViT: Gradient Inversion of Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

AdaViT: Adaptive Tokens for Efficient Vision Transformer.

[BibT_eX]

[DOI]

CoRR, 2021

HALP: Hardware-Aware Latency Pruning.

[BibT_eX]

[DOI]

CoRR, 2021

NViT: Vision Transformer Compression and Parameter Redistribution.

[BibT_eX]

[DOI]

CoRR, 2021

HANT: Hardware-Aware Network Transformation.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation.

[BibT_eX]

[DOI]

CoRR, 2021

Data-free Knowledge Distillation for Object Detection.

[BibT_eX]

[DOI]

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

Optimizing Selective Protection for CNN Resilience.

[BibT_eX]

[DOI]

Abdulrahman Mahmoud

Siva Kumar Sastry Hari

Christopher W. Fletcher

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

See Through Gradients: Image Batch Recovery via GradInversion.

[BibT_eX]

[DOI]

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

Optimal Quantization Using Scaled Codebook.

[BibT_eX]

[DOI]

Miguel Á. Carreira-Perpiñán

José M. Álvarez

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

DexYCB: A Benchmark for Capturing Hand Grasping of Objects.

[BibT_eX]

[DOI]

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

KAMA: 3D Keypoint Aware Body Mesh Articulation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2021

2020

HarDNN: Feature Map Vulnerability Evaluation in CNNs.

[BibT_eX]

[DOI]

Abdulrahman Mahmoud

Siva Kumar Sastry Hari

Christopher W. Fletcher

CoRR, 2020

Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation Under Hand-Object Interaction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion.

[BibT_eX]

[DOI]

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

Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild.

[BibT_eX]

[DOI]

Umar Iqbal

Pavlo Molchanov

Jan Kautz

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

2019

Boosting segmentation with weak supervision from image-to-image translation.

[BibT_eX]

[DOI]

CoRR, 2019

Few-Shot Adaptive Gaze Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Importance Estimation for Neural Network Pruning.

[BibT_eX]

[DOI]

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

SCOPS: Self-Supervised Co-Part Segmentation.

[BibT_eX]

[DOI]

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

2018

IamNN: Iterative and Adaptive Mobile Neural Network for efficient image classification.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Hand Pose Estimation via Latent 2.5D Heatmap Regression.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Making Convolutional Networks Recurrent for Visual Sequence Learning.

[BibT_eX]

[DOI]

Xiaodong Yang

Pavlo Molchanov

Jan Kautz

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Improving Landmark Localization With Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Budget-Aware Activity Detection with A Recurrent Policy Network.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

2017

3D Hand Pose Estimation: From Current Achievements to Future Goals.

[BibT_eX]

[DOI]

CoRR, 2017

Pruning Convolutional Neural Networks for Resource Efficient Inference.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

A Lightweight Approach for On-the-Fly Reflectance Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification.

[BibT_eX]

[DOI]

Xiaodong Yang

Pavlo Molchanov

Jan Kautz

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Towards selecting robust hand gestures for automotive interfaces.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Multi-sensor system for driver's hand-gesture recognition.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

Hand gesture recognition with 3D convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014

Radar target classification by micro-Doppler contributions.

[BibT_eX]

[DOI]

Pavlo O. Molchanov

PhD thesis, 2014

Classification of aircraft using micro-Doppler bicoherence-based features.

[BibT_eX]

[DOI]

María-Pilar Jarabo-Amores

IEEE Trans. Aerosp. Electron. Syst., 2014

2013

The Use of Automotive Radars in Video-Based Overtaking Assistance Applications.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2013

Classification of ground moving targets using bicepstrum-based features extracted from Micro-Doppler radar signatures.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2013

On Micro-Doppler Period Estimation.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Control Systems and Computer Science, 2013

Pavlo Molchanov

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