CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation. - K. Ram Prabhakar; Akshaya Ramaswamy; Suvaansh Bhambri; Jayavardhana Gubbi; R. Venkatesh Babu; Balamuralidhar Purushothaman (IJCNN, 2020)

MOCA: A Modular Object-Centric Approach for Interactive Instruction Following. - Kunal Pratap Singh; Suvaansh Bhambri; Byeonghwi Kim; Roozbeh Mottaghi; Jonghyun Choi (CoRR, 2020)

Factorizing Perception and Policy for Interactive Instruction Following. - Kunal Pratap Singh; Suvaansh Bhambri; Byeonghwi Kim; Roozbeh Mottaghi; Jonghyun Choi (ICCV, 2021)

Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. - Jogendra Nath Kundu; Akshay R. Kulkarni; Suvaansh Bhambri; Varun Jampani; Venkatesh Babu Radhakrishnan (AAAI, 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 (ECCV (30), 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 (ICML, 2022)

Subsidiary Prototype Alignment for Universal Domain Adaptation. - Jogendra Nath Kundu; Suvaansh Bhambri; Akshay R. Kulkarni; Hiran Sarkar; Varun Jampani; Venkatesh Babu R. (NeurIPS, 2022)

Multi-Level Compositional Reasoning for Interactive Instruction Following. - Suvaansh Bhambri; Byeonghwi Kim; Jonghyun Choi (AAAI, 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 (ICCV, 2023)

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 (WACV, 2024)