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Kartik Gupta
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Year
Calibration of Neural Networks using Splines
K Gupta, A Rahimi, T Ajanthan, T Mensink, C Sminchisescu, R Hartley
ICLR 2021, 2021
622021
Cullnet: Calibrated and pose aware confidence scores for object pose estimation
K Gupta, L Petersson, R Hartley
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
232019
Mirror descent view for neural network quantization
T Ajanthan*, K Gupta*, P Torr, R Hartley, P Dokania
AISTATS 2021, 2021
152021
Improved Gradient based Adversarial Attacks for Quantized Networks
K Gupta, T Ajanthan
AAAI 2022, 2022
92022
Post-hoc calibration of neural networks
A Rahimi, K Gupta, T Ajanthan, T Mensink, C Sminchisescu, R Hartley
arXiv preprint arXiv:2006.12807 2, 2020
92020
Scale Invariant Human Action Detection From Depth Cameras Using Class Templates
K Gupta, A Bhavsar
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
92016
Effectiveness of Grasp Attributes and Motion-Constraints for Fine-Grained Recognition of Object Manipulation Actions
K Gupta, D Burschka, A Bhavsar
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
82016
Understanding and Improving the Role of Projection Head in Self-Supervised Learning
K Gupta, T Ajanthan, A Hengel, S Gould
arXiv preprint arXiv:2212.11491, 2022
52022
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices
K Gupta, M Fournarakis, M Reisser, C Louizos, M Nagel
arXiv preprint arXiv:2206.10844, 2022
12022
Classifying object manipulation actions based on grasp-types and motion-constraints
K Gupta, D Burschka, A Bhavsar
Tech. Report, 2018
12018
Towards Efficient and Reliable Deep Neural Networks
K Gupta
Australian National University, 2022
2022
Human Action Recognition for Depth Cameras via Dynamic Frame Warping
K Gupta, A Bhavsar
Proceedings of International Conference on Computer Vision and Image …, 2017
2017
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Articles 1–12