Shivam Chandhok

According to our database, Shivam Chandhok authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Hardware-Software Co-Design of Statistical and Deep-Learning Frameworks for Wideband Sensing on Zynq System on Chip.

Rohith Rajesh, Sumit Jagdish Darak, Akshay Jain, Shivam Chandhok, Animesh Sharma

IEEE Trans. Very Large Scale Integr. Syst., 2023

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

Vikrant Dewangan, Tushar Choudhary, Shivam Chandhok, Shubham Priyadarshan, Anushka Jain, Arun Kumar Singh, Siddharth Srivastava, Krishna Murthy Jatavallabhula, K. Madhava Krishna

CoRR, 2023

Empirical Optimal Transport between Conditional Distributions.

Piyushi Manupriya, Rachit Keerti Das, Sayantan Biswas, Shivam Chandhok, Saketha Nath Jagarlapudi

CoRR, 2023

2022

INDIGO: Intrinsic Multimodality for Domain Generalization.

Puneet Mangla, Shivam Chandhok, Milan Aggarwal, Vineeth N. Balasubramanian, Balaji Krishnamurthy

CoRR, 2022

COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains.

Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Unseen Classes at a Later Time? No Problem.

Hari Chandana Kuchibhotla, Sumitra S. Malagi, Shivam Chandhok, Vineeth N. Balasubramanian

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

2021

Novel deep learning framework for wideband spectrum characterization at sub-Nyquist rate.

Shivam Chandhok, Himani Joshi, A. Venkata Subramanyam, Sumit Jagdish Darak

Wirel. Networks, 2021

Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains.

Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan

CoRR, 2021

Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervision.

Gaurav Bhatt, Shivam Chandhok, Vineeth N. Balasubramanian

CoRR, 2021

Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning.

Shivam Chandhok, Vineeth N. Balasubramanian

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

Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains.

Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Resource Constrained Neural Networks for Direction-of-Arrival Estimation in Micro-controllers.

Piyush Sahoo, Romesh Rajoria, Shivam Chandhok, Sumit Jagdish Darak, Danilo Pietro Pau, Hemdutt Dabral

Proceedings of the AIMLSystems 2021: The First International Conference on AI-ML-Systems, Bangalore India, October 21, 2021

2020

Enhancing Generalized Zero-Shot Learning via Adversarial Visual-Semantic Interaction.

Shivam Chandhok, Vineeth N. Balasubramanian

CoRR, 2020

2019

SenseNet: Deep Learning based Wideband spectrum sensing and modulation classification network.

Shivam Chandhok, Himani Joshi, A. Venkata Subramanyam, Sumit Jagdish Darak

CoRR, 2019

LSTM Guided Modulation Classification and Experimental Validation for Sub-Nyquist Rate Wideband Spectrum Sensing.

Shivam Chandhok, Himani Joshi, Sumit Jagdish Darak, A. Venkata Subramanyam

Proceedings of the 11th International Conference on Communication Systems & Networks, 2019