Publications

Gradvit: Gradient inversion of vision transformers. (2022). In CVPR 2022.

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DRaCoN--Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars. (2022). arXiv preprint arXiv:2203.15798.

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Do Gradient Inversion Attacks Make Federated Learning Unsafe?. (2022). arXiv preprint arXiv:2202.06924.

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AViT: Adaptive Tokens for Efficient Vision Transformer. (2021). In CVPR 2022.

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GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras. (2021). In CVPR 2022.

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When to Prune? A Policy towards Early Structural Pruning. (2021). In CVPR 2022.

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LANA: Latency Aware Network Acceleration. (2021). In Arxiv.

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Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion. (2021). In XAI4CV 2022.

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Adversarial motion modelling helps semi-supervised hand pose estimation. (2021). arXiv preprint arXiv:2106.05954.

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DexYCB: A benchmark for capturing hand grasping of objects. (2021). Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

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Towards Understanding the Risks of Gradient Inversion in Federated Learning. (2021).

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See through gradients: Image batch recovery via gradinversion. (2021). Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

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Optimizing Selective Protection for CNN Resilience. (2021). 32nd IEEE International Symposium on Software Reliability Engineering, ISSRE 2021.

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Optimal quantization using scaled codebook. (2021). Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

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Nvit: Vision transformer compression and parameter redistribution. (2021). arXiv preprint arXiv:2110.04869.

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Kama: 3d keypoint aware body mesh articulation. (2021). 2021 International Conference on 3D Vision (3DV).

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HALP: Hardware-Aware Latency Pruning. (2021). arXiv preprint arXiv:2110.10811.

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Data-free knowledge distillation for object detection. (2021). Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

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Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion. (2020). In CVPR 2022.

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Weakly-supervised 3d human pose learning via multi-view images in the wild. (2020). Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

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Weakly supervised 3d hand pose estimation via biomechanical constraints. (2020). European Conference on Computer Vision.

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Measuring generalisation to unseen viewpoints, articulations, shapes and objects for 3d hand pose estimation under hand-object interaction. (2020). European Conference on Computer Vision.

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Hardnn: Feature map vulnerability evaluation in cnns. (2020). arXiv preprint arXiv:2002.09786.

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Scops: Self-supervised co-part segmentation. (2019). Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

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Importance estimation for neural network pruning. (2019). Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

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Few-shot adaptive gaze estimation. (2019). Proceedings of the IEEE/CVF International Conference on Computer Vision.

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Boosting segmentation with weak supervision from image-to-image translation. (2019). arXiv preprint arXiv:1904.01636.

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Making convolutional networks recurrent for visual sequence learning. (2018). Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

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Improving landmark localization with semi-supervised learning. (2018). Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

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Iamnn: Iterative and adaptive mobile neural network for efficient image classification. (2018). arXiv preprint arXiv:1804.10123.

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Hand Pose Estimation via Latent 2.5 D Heatmap Regression. (2018). ECCV2018.

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Depth-based 3d hand pose estimation: From current achievements to future goals. (2018). Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

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Budget-aware activity detection with a recurrent policy network. (2017). arXiv preprint arXiv:1712.00097.

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A lightweight approach for on-the-fly reflectance estimation. (2017). Proceedings of the IEEE International Conference on Computer Vision.

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Towards selecting robust hand gestures for automotive interfaces. (2016). 2016 IEEE Intelligent Vehicles Symposium (IV).

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Pruning convolutional neural networks for resource efficient inference. (2016). ICLR2017.

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Online detection and classification of dynamic hand gestures with recurrent 3d convolutional neural network. (2016). Proceedings of the IEEE conference on computer vision and pattern recognition.

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Multilayer and multimodal fusion of deep neural networks for video classification. (2016). Proceedings of the 24th ACM international conference on Multimedia.

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Short-range FMCW monopulse radar for hand-gesture sensing. (2015). 2015 IEEE Radar Conference (RadarCon).

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Range-Doppler surface: a tool to analyse human target in ultra-wideband radar. (2015). IET Radar, Sonar & Navigation.

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Multi-sensor system for driver's hand-gesture recognition. (2015). 2015 11th IEEE international conference and workshops on automatic face and gesture recognition (FG).

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Hand gesture recognition with 3D convolutional neural networks. (2015). Proceedings of the IEEE conference on computer vision and pattern recognition workshops.

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Radar micro-Doppler feature extraction using the singular value decomposition. (2014). In CVPR 2022.

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Classification of small UAVs and birds by micro-Doppler signatures. (2014). International Journal of Microwave and Wireless Technologies.

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The use of automotive radars in video-based overtaking assistance applications. (2013). IEEE Transactions on Intelligent Transportation Systems.

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On micro-Doppler period estimation. (2013). 2013 19th international conference on control systems and computer science.

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Classification of ground moving radar targets by using joint time-frequency analysis. (2012). 2012 IEEE Radar Conference.

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Ground moving target classification by using DCT coefficients extracted from micro-Doppler radar signatures and artificial neuron network. (2011). 2011 Microwaves, Radar and Remote Sensing Symposium.

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