Jishnu Mukhoti

According to our database1, Jishnu Mukhoti authored at least 14 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Fine-tuning can cripple your foundation model; preserving features may be the solution.
CoRR, 2023

Raising the Bar on the Evaluation of Out-of-Distribution Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Deep Deterministic Uncertainty: A New Simple Baseline.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
Deep Deterministic Uncertainty for Semantic Segmentation.
CoRR, 2021

Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty.
CoRR, 2021

2020
On Batch Normalisation for Approximate Bayesian Inference.
CoRR, 2020

Handwritten Digit Classification in Bangla and Hindi Using Deep Learning.
Appl. Artif. Intell., 2020

Calibrating Deep Neural Networks using Focal Loss.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Learning regularity in an economic time-series for structure prediction.
Appl. Soft Comput., 2019

Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation.
CoRR, 2018

On the Importance of Strong Baselines in Bayesian Deep Learning.
CoRR, 2018

2016
Knowledge extraction from a time-series using segmentation, fuzzy matching and predictor graphs.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016


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