Siddharth Srivastava

Affiliations:
  • TensorTour Inc.
  • Indian Institute of Technology Delhi, India (PhD 2019)


According to our database1, Siddharth Srivastava authored at least 39 papers between 2014 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Towards Global Localization using Multi-Modal Object-Instance Re-Identification.
CoRR, 2024

OmniVec: Learning robust representations with cross modal sharing.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

ICPR 2024 Leaf Inspect Competition: Leaf Instance Segmentation and Counting.
Proceedings of the Pattern Recognition. Competitions - 27th International Conference, 2024

OmniVec2 - A Novel Transformer Based Network for Large Scale Multimodal and Multitask Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving.
CoRR, 2023

Hierarchical Multi-task Learning via Task Affinity Groupings.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021
A Legendre polynomial based activation function: An aid for modeling of max pooling.
Digit. Signal Process., 2021

Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention.
CoRR, 2021

Self Attention Guided Depth Completion using RGB and Sparse LiDAR Point Clouds.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Beyond Image to Depth: Improving Depth Prediction Using Echoes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Analysing Risk of Coronary Heart Disease through Discriminative Neural Networks.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Using Scene Graphs for Detecting Visual Relationships.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

An Online Learning Approach for Dengue Fever Classification.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

A Hybrid Approach to Develop and Integrate Chatbot in Health Informatics Systems.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019
DeepPoint3D: Learning discriminative local descriptors using deep metric learning on 3D point clouds.
Pattern Recognit. Lett., 2019

Few Shot Speaker Recognition using Deep Neural Networks.
CoRR, 2019

An Online Learning Approach for Dengue Fever Classification.
CoRR, 2019

Guided Compositional Generative Adversarial Networks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Large Scale Novel Object Discovery in 3D.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Joint Image Classification and Annotation Prediction Using Iterative Learning on Local Neighbourhood.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Deep Neural Network Based Image Captioning.
Proceedings of the Big Data Analytics - 6th International Conference, 2018

2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.
CoRR, 2017

Continuity of Care Document for Hospital Management Systems: an Implementation Perspective.
Proceedings of the 10th International Conference on Theory and Practice of Electronic Governance, 2017

Drought Stress Classification Using 3D Plant Models.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Object Classification using Ensemble of Local and Deep Features.
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017

Deep learning for health informatics: Recent trends and future directions.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

Enhanced Characterness for Text Detection in the Wild.
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017

2016
Characterizing objects with SIKA features for multiclass classification.
Appl. Soft Comput., 2016

Adaptive image compression using saliency and KAZE features.
Proceedings of the 2016 International Conference on Signal Processing and Communications (SPCOM), 2016

3D binary signatures.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

2015
Benchmarking KAZE and MCM for Multiclass Classification.
CoRR, 2015

SIFT Vs SURF: Quantifying the Variation in Transformations.
CoRR, 2015

Brain Computer Interfaces for Mobile Apps: State-of-the-art and Future Directions.
CoRR, 2015

Adaptive crypto-steganosystem for videos based on information content and visual perception.
Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015

2014
Electronic Health Records and Cloud based Generic Medical Equipment Interface.
CoRR, 2014


  Loading...