Suvaansh Bhambri

According to our database, Suvaansh Bhambri authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation.

Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Pradyumna YM, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation.

Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-Level Compositional Reasoning for Interactive Instruction Following.

Suvaansh Bhambri, Byeonghwi Kim, Jonghyun Choi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Subsidiary Prototype Alignment for Universal Domain Adaptation.

Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, Venkatesh Babu R.

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Balancing Discriminability and Transferability for Source-Free Domain Adaptation.

Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Deepesh Mehta, Shreyas Anand Kulkarni, Varun Jampani, Venkatesh Babu Radhakrishnan

Proceedings of the International Conference on Machine Learning, 2022

Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation.

Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu

Proceedings of the Computer Vision - ECCV 2022, 2022

Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation.

Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Varun Jampani, Venkatesh Babu Radhakrishnan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Factorizing Perception and Policy for Interactive Instruction Following.

Kunal Pratap Singh, Suvaansh Bhambri, Byeonghwi Kim, Roozbeh Mottaghi, Jonghyun Choi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

MOCA: A Modular Object-Centric Approach for Interactive Instruction Following.

Kunal Pratap Singh, Suvaansh Bhambri, Byeonghwi Kim, Roozbeh Mottaghi, Jonghyun Choi

CoRR, 2020

CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation.

K. Ram Prabhakar, Akshaya Ramaswamy, Suvaansh Bhambri, Jayavardhana Gubbi, R. Venkatesh Babu, Balamuralidhar Purushothaman

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020